the evolution of human skin coloration · wavelength radio waves. because x-rays and the shortest...
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Nina G. Jablonskiand George ChaplinDepartment of Anthropology,California Academy ofSciences, Golden Gate Park,San Francisco, CA94118-4599, U.S.A. E-mails:[email protected];[email protected]
Received 25 March 1999Revision received 10 August1999 and accepted18 February 2000
Keywords: ultravioletradiation, UVB, melanin,integument, folate,photoprotection, neural tubedefects, vitamin D,depigmentation,thermoregulation, raceconcepts.
The evolution of human skin coloration
Skin color is one of the most conspicuous ways in which humans varyand has been widely used to define human races. Here we presentnew evidence indicating that variations in skin color are adaptive, andare related to the regulation of ultraviolet (UV) radiation penetrationin the integument and its direct and indirect effects on fitness. Usingremotely sensed data on UV radiation levels, hypotheses concerningthe distribution of the skin colors of indigenous peoples relative to UVlevels were tested quantitatively in this study for the first time.
The major results of this study are: (1) skin reflectance is stronglycorrelated with absolute latitude and UV radiation levels. The highestcorrelation between skin reflectance and UV levels was observed at545 nm, near the absorption maximum for oxyhemoglobin, sug-gesting that the main role of melanin pigmentation in humans isregulation of the effects of UV radiation on the contents of cutaneousblood vessels located in the dermis. (2) Predicted skin reflectancesdeviated little from observed values. (3) In all populations for whichskin reflectance data were available for males and females, femaleswere found to be lighter skinned than males. (4) The clinal gradationof skin coloration observed among indigenous peoples is correlatedwith UV radiation levels and represents a compromise solution tothe conflicting physiological requirements of photoprotection andvitamin D synthesis.
The earliest members of the hominid lineage probably had a mostlyunpigmented or lightly pigmented integument covered with darkblack hair, similar to that of the modern chimpanzee. The evolutionof a naked, darkly pigmented integument occurred early in theevolution of the genus Homo. A dark epidermis protected sweatglands from UV-induced injury, thus insuring the integrity of somaticthermoregulation. Of greater significance to individual reproductivesuccess was that highly melanized skin protected against UV-inducedphotolysis of folate (Branda & Eaton, 1978, Science 201, 625–626;Jablonski, 1992, Proc. Australas. Soc. Hum. Biol. 5, 455–462, 1999,Med. Hypotheses 52, 581–582), a metabolite essential for normaldevelopment of the embryonic neural tube (Bower & Stanley, 1989,The Medical Journal of Australia 150, 613–619; Medical ResearchCouncil Vitamin Research Group, 1991, The Lancet 338, 31–37) andspermatogenesis (Cosentino et al., 1990, Proc. Natn. Acad. Sci.U.S.A. 87, 1431–1435; Mathur et al., 1977, Fertility Sterility 28,1356–1360).
As hominids migrated outside of the tropics, varying degrees ofdepigmentation evolved in order to permit UVB-induced synthesis ofprevitamin D3. The lighter color of female skin may be required topermit synthesis of the relatively higher amounts of vitamin D3
necessary during pregnancy and lactation.Skin coloration in humans is adaptive and labile. Skin pigmentation
levels have changed more than once in human evolution. Because ofthis, skin coloration is of no value in determining phylogeneticrelationships among modern human groups.
� 2000 Academic Press
Journal of Human Evolution (2000) 39, 57–106doi:10.1006/jhev.2000.0403Available online at http://www.idealibrary.com on
0047–2484/00/070057+50$35.00/0 � 2000 Academic Press
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Introduction
Melanin accounts for most of the variationin the visual appearance of human skin.Variation in cutaneous melanin pigmen-tation in humans has been attributed tomany factors, with most authorities agreeingthat the observed variations reflect biologicaladaptations to some aspect of the environ-ment. Many hypotheses have centered onthe role of melanin pigmentation in theregulation of the penetration of sunlightand, more specifically, ultraviolet (UV)radiation, into the skin. The more highlymelanized skins of indigenous tropicalpeoples have been said to afford greaterprotection against the deleterious effects ofUV radiation, such as sunburn, skin cancer(Fitzpatrick, 1965) and nutrient photolysis(Branda & Eaton, 1978). The more lightlypigmented skins of peoples inhabitinglatitudes nearer the Arctic have beenexplained as adaptations to the lower UVradiation regimes of those regions and theimportance of maintaining UV-induced bio-synthesis of vitamin D3 in the skin (Murray,1934; Loomis, 1967). Other adaptationisthypotheses have emphasized the role ofskin pigmentation in regulating sensitivity tofrostbite (Post et al., 1975a), in diseaseprevention (Wassermann, 1965, 1974),thermoregulation (Roberts & Kahlon, 1976;Roberts, 1977), concealment (Cowles,1959), or combinations of these factors(Roberts & Kahlon, 1976; Roberts, 1977).
The concept of integumentary pigmen-tation as an environmental adaptation hasnot been universally accepted, however.Some authorities have argued that becauseUV-radiation-induced sunburn or skincancers rarely affect reproductive success,melanin pigmentation must be consideredonly slightly adaptive or nonadaptive (Blum,1961; Diamond, 1991). It has also beenargued that because the relationshipbetween skin color and sunlight appearsimperfect, skin color should not be viewed
only as an adaptation to the environment(Diamond, 1991). Integumentary pigmen-tation has also been regarded as a pleiotropicbyproduct of selection acting on first func-tions of pigmentation genes, such as theregulation of metabolic pathways (Deol,1975), or as a characteristic controlled bysexual selection for the enhancement ofattractiveness to the opposite sex (Diamond,1988, 1991).
In this paper we demonstrate that thepreviously observed relationship betweenskin pigmentation in indigenous humanpopulations and latitude is traceable to thestrong correlation between skin color andUV radiation. We also present evidence sup-porting the theory that variations in melaninpigmentation of human skin are adaptiveand that they represent adaptations for theregulation of the effects of UV radiation ondeep strata of the integument. Our presen-tation combines analysis and visualization ofdata on the skin coloration of indigenouspeoples coupled with remote sensing dataon UV radiation levels at the Earth’s surfaceand physiological evidence concerning theeffects of UV radiation on levels of essentialvitamins and metabolites.
What skin color was primitive for thehominid lineage?
Before questions about changes in integu-mentary pigmentation in modern humanevolution can be addressed, considerationmust be given to the probable primitivecondition of the integument in the earliestmembers of the human lineage. It is likelythat the integument of the earliest proto-hominids was similar to that of our closestliving relative, the chimpanzee, being whiteor lightly pigmented and covered with darkhair (Post et al., 1975b). In the chimpanzee,exposed areas of skin vary considerably intheir coloration depending on the speciesand subspecies under consideration, but inall groups facial pigmentation increases with
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UV radiation at the surface of theEarth
The sun emits electromagnetic radiationfrom short-wavelength X-rays to long-wavelength radio waves. Because X-rays andthe shortest UV waves (UVC, <280 nm) donot penetrate the atmosphere, middle(UVB, 280–320 nm) and long (UVA 320–400 nm) wavelength UV radiation, alongwith the visible wavelengths and infrared,are of greatest biological significance.
In order for solar radiation to produce aphotochemical effect, it must be absorbed.For an effective photon of radiation to beabsorbed, it must first travel from the sun tothe body’s surface through the atmosphere.Atmospheric absorption and scattering oflight are functions of the air mass throughwhich light must travel (Daniels, 1959). Theair mass, in turn, is a function of the angle ofthe sun to the observer, which is determinedby the time of day, season, latitude andaltitude. The air mass has a great influenceon the transmission of UV radiationbecause, in general, scattering is greatest inthe UV and shorter visible wavelengths(Daniels, 1959). The transmission of UVand visible radiation to the Earth’s surfaceare also determined by absorption in theozone layer, clouds, dust, haze and variousorganic compounds (Daniels, 1959, 1964).
Prior to the utilization of remote sensingtechnology, the intensity of UV radiation atthe Earth’s surface and the erythemalresponse of human skin to UV radiationwere estimated using mathematical models(Paltridge & Barton, 1978). Although thesemodels were parameterized to account forthe effects of solar elevation, the amounts ofozone and aerosols in the atmosphere,and the surface albedo on estimated UV
age and exposure to UV radiation (Postet al., 1975b). Except for the face, eyelids,lips, pinnae, friction surfaces, and anogenitalareas, the epidermis of most nonhumanprimates is unpigmented due to an absenceof active melanocytes (Montagna &Machida, 1966; Montagna et al., 1966a,b),suggesting that this is the primitive condi-tion for primates in general. The hairlessareas listed above are pigmented to greateror lesser extents in all primate species(Montagna & Machida, 1966; Montagnaet al., 1966a,b), suggesting that the potentialfor induction of melanogenesis (Erickson &Montagna, 1975) in exposed skin is alsoprimitive for the group.
Physiological models have demonstratedthat the evolution of hairlessness and anessentially modern sweating mechanismwere coordinated with the higher activitylevels associated with the modern limbproportions and striding bipedalism(Montagna, 1981; Schwartz & Rosenblum,1981; Wheeler, 1984, 1996; Chaplin et al.,1994). Throughout this transitional period,the critical function of the integument inthermoregulation was maintained throughevolution of an increased number of sweatglands, particularly on the face (Cabanac &Caputa, 1979; Falk, 1990), that increasedthe maximum rate of evaporative coolingavailable at any one time (Wheeler, 1996;see also Mahoney, 1980). The brain isextremely heat sensitive, and its temperatureclosely follows arterial temperature (Nelson& Nunneley, 1998). Evolution of a whole-body cooling mechanism capable of finelyregulating arterial temperature was, there-fore, a prerequisite for brain expansionand increased activity levels. Naked skinitself affords a thermoregulatory advantagebecause it makes for a reduced total ther-mal load requiring evaporative dissipation(Wheeler, 1996). As the density of body hairdecreased and the density of sweat glandsincreased, the need for protection of sub-epidermal tissues against the destructive
effects of UV radiation, particularly UVB,also increased. This protection was accom-plished by an increase in melanization of theskin.
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radiation, they were merely models, notdirect measurements. With the applicationof remote sensing to this problem, however,it has been possible to directly measure theUV radiation reaching the Earth’s surface,taking ozone concentration and scene reflec-tivities (cloud conditions, and snow and icecover) into account (Herman & Celarier,1996). The existence of directly measureddata means that it is possible to know exactlyhow much UV radiation made it to theEarth’s surface at a specific day and time; itis no longer necessary to rely on calculatedestimates. The present study is the first inwhich direct measurements of UV radiationat the Earth’s surface have been used to testhypotheses concerning the evolution ofhuman skin pigmentation.
Relethford (1997) recently suggested thathemispheric differences in human skin colorwere due to hemispheric differences in UVradiation. In response to this claim, we havedemonstrated, using direct measurements ofUV radiation, that the annual erythemalmeans for UV radiation in the northern andsouthern hemispheres were not significantlydifferent, but that significant differencesbetween the hemispheres are found at thesummer and winter solstices (Chaplin &Jablonski, 1998). The magnitude of thesedifferences can be predicted from today’sperihelion effect (i.e., that the Earth isclosest to the sun on 3 January, during theAustral Summer). We have also shown(Chaplin & Jablonski, 1998) that thehemispheric differences in skin color thatRelethford demonstrated are due in largepart to the fact that, in the southern hemi-sphere, the areas receiving high annual UVradiation constitute a much larger percent-age of the total habitable land area than inthe northern hemisphere. In other words, alarger proportion of the habitable land ofthe southern hemisphere lies closer to theequator than it does in the northern hemi-sphere. This area receives high annual dosesof UV radiation. In contrast, the vast
majority of habitable land in the northernhemisphere lies north of the Tropic ofCancer and receives low annual doses ofUV radiation. The hemispheric bias in thelatitudinal distribution of land masses hashad profound consequences for the evol-ution of skin pigmentation for the humansinhabiting the two hemispheres (Chaplin &Jablonski, 1998).
Melanin and the effects of UVradiation on human skin
In the skin, melanin acts as an optical andchemical photoprotective filter, whichreduces the penetration of all wavelengthsof light into subepidermal tissues (Daniels,1959; Kaidbey et al., 1979). Electro-magnetic radiation impinging on the humanskin can undergo a number of interactions:it can be reflected by the surface of thestratum corneum; it can enter the stratumcorneum after a slight change in its directionof travel; it can interact with melanin dust inthe stratum corneum, resulting in partial ortotal absorption; it can traverse deeper layersand experience a possible additional scatter-ing; or it can enter the viable epidermiswhere it encounters melanin packagedwithin melanosomes (Kollias et al., 1991).Epidermal melanin has different forms atdifferent sites within the skin and theseinteract differently with radiation (Kolliaset al., 1991). At all of these sites, melaninworks an optical filter to attenuate radiationby scattering (Kollias et al., 1991). It alsoacts as a chemical filter through its functionas a stable free radical that can absorbcompounds produced by photochemicalaction which would be toxic or carcinogenic(Daniels, 1959; Kollias et al., 1991). Themelanin dust of the stratum corneumappears to be a degradation product ofthe melanosomes, the organelles in whichthe melanin pigment resides. This serves thehighly desirable function of attenuatingradiation close to the skin’s surface, thus
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sparing the deeper, viable layers. Most epi-dermal melanin is packaged in intactmelanosomes that are located deeper in theskin, however. These organelles are dis-tributed to keratinocytes throughout theMalpighian layer of the epidermis by thedendritic processes of melanocytes. Thus,the superior photoprotection of highly mela-nized skin is accomplished by absorptionand scattering, which are influenced by thedensity and distribution of melanosomeswithin keratinocytes in the basal and para-basal layers of the epidermis (Kaidbey et al.,1979) and by the presence of specks ofmelanin dust in the stratum corneum(Daniels, 1964). The heavily pigmentedmelanocytes of darker skins also have theability to resume proliferation afterirradiation with UVB radiation, indicatingthat they can recover more quickly from thegrowth-inhibitory effects of UVB exposure(Barker et al., 1995).
Most studies of the effects of UV radiationon human skin have utilized as a standardthe minimum-erythemal dose (UVMED),which is the quantity of UV radiationrequired to produce a barely perceptiblereddening of lightly-pigmented skin.
Apart from its beneficial role in vitamin Dsynthesis, the effects of UVB radiation onthe skin are universally harmful. Suppres-sion of sweating and subsequent disruptionof thermoregulation due to sunburn-induced damage to sweat glands are themost serious immediate effects of excessiveUVB exposure (Daniels, 1964; Pandolfet al., 1992). Other short-term harmfuleffects include discomfort, lowering of thepain threshold, vesiculation and possiblesecondary infection following severe sun-burn, desquamation and nutrient photolysis(Branda & Eaton, 1978; Daniels, 1964).Degenerative changes in the dermis andepidermis due to UVB exposure are realizedover longer time courses, some eventuallyresulting in skin cancers. The question froman evolutionary point of view is do any of
these effects, singly or in combination, havedirect effects on reproductive success? Basalcell and squamous cell carcinomas, forinstance, while a significant cause of mor-bidity in lightly pigmented peoples, rarelyinfluence fitness because they generallyaffect individuals after reproductive age andare rarely fatal (Blum, 1961; Roberts, 1977;Robins, 1991). Malignant melanomas,though rare (representing 4% of skin cancerdiagnoses) are more often fatal than otherskin cancers, but their effect on reproductivesuccess is still limited because of their lateonset, well beyond the age of first reproduc-tion (Johnson et al., 1998).
We argue here that protection againstnutrient photolysis, and specifically photo-lysis of folate, was a prime selective agentwhich brought about the evolution of deeplypigmented skins among people living underregimes of high UVB radiation throughoutmost of the year because of the directconnection between folate and individualreproductive success. The importance toindividual fitness of protection of sweatglands and maintenance of thermoregu-latory capability is also seen as contributingto increased melanization.
Folate and human reproductivesuccess
Folic acid is an essential nutrient, which isrequired for nucleotide and, therefore, DNAbiosynthesis. Folic acid is converted in thebody to its conjugated form, folate. The lackof folate has long been known to bring abouta macrocystic megaloblastic anemia becausefolate is required for the maturation ofbone marrow and the development of redblood cells. Folate deficiency in nonhumanmammals has also been shown to producemultiple fetal anomalies including malfor-mations of the eye, central nervous system,palate, lip, gastrointestinal system, aorta,kidney and skeleton (Omaye, 1993, andreferences cited therein). All of these
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problems can ultimately be traced to folate’sroles in purine and pyrimidine biosynthesis(Omaye, 1993; Fleming & Copp, 1998).
It has recently been confirmed that thereis a connection between defective folatemetabolism and neural tube defects (NTDs)in humans (Fleming & Copp, 1998; Bower& Stanley, 1989; Medical Research CouncilVitamin Research Group, 1991). Neuraltube defects comprise a family of congenitalmalformations that result from incompleteneurulation and that are expressed asdeformities of varying severity. In cranio-rachischisis totalis, the entire neural tube failsto close; embryos fail early in their develop-ment and are spontaneously aborted.Failure of the cranial neuropore to fuseresults in anencephalus or craniorachischisis,in which the brain is represented by anexposed dorsal mass of undifferentiatedtissue. Anencephalic embryos often surviveinto late fetal life or term, but invariably diesoon after birth. When failure of neural tubeclosure disrupts the induction of the over-lying vertebral arches, the resulting con-dition of an open neural canal is called spinabifida. Cases of spina bifida vary in theirseriousness. The most disabling involve theprotrusion of neural tissue and meningesthrough an open neural canal (meningo-myelocele). The least serious involve failureof a single vertebral arch to fuse with noherniation of underlying neural tissue (spinabifida occulta).
Since records have been kept in developedcountries, anencephalus and spina bifida havebeen found to be particularly common inlight-skinned populations. These defectsaccounted for as much as 15% of all peri-natal and 10% of all postperinatal mortalityin the worst-affected populations prior tothe introduction of preventative nutritionalsupplementation (Elwood & Elwood, 1980).Since the advent of prenatal diagnosis, theprevalence of NTDs in relation to all con-ceptions has been shown to be significantlyhigher than birth prevalence (Velie & Shaw,
1996; Forrester et al., 1998), partly becauseof the high rate of early miscarriage in thecase of the most serious defects (C. Bower,personal communication).
Folic acid prevents 70% of NTDs inhumans and is thought to act by directnormalization of neurulation through regu-lation of pyrimidine biosynthesis neces-sary for DNA production (Minns, 1996;Fleming & Copp, 1998). In the body, folateis most sensitive to two major environmentalagents, ethanol and UV radiation. In thecase of ethanol, folate deficiency is a well-documented problem of chronic alcoholics(Tamura & Halsted, 1983). The photo-sensitivity of folate is significant, and thenutrient can be readily degraded bynatural sunlight or UV light (Kaunitz &Lindenbaum, 1977). Photolysis of folate inhumans has been demonstrated by a signifi-cant decline in folate levels when serum(in vitro) or light-skinned subjects (in vivo)were exposed to simulated natural sunlight(Branda & Eaton, 1978). A causal relation-ship between in vivo folate photolysis inhumans and NTDs, first suggested byJablonski (1992, 1999), has recently beensupported by the report of NTDs in threeunrelated subjects whose mothers had beenexposed to UV light on the sun beds oftanning salons during the first weeks oftheir pregnancies (Lapunzina, 1996). Folatedeficiencies brought about by UV photolysishave also been implicated in the etiology ofNTDs in some amphibian populations(Jablonski, 1998) because such defects havebeen seen in amphibian embryos exposedto UV radiation (Higgins & Sheard, 1926;Licht & Grant, 1997).
In addition to its important role in ensur-ing embryonic survival through properneurulation, folate has been shown to becritical to another important process centralto reproduction, spermatogenesis. In bothmice (Cosentino et al., 1990) and rats(Mathur et al., 1977), chemically inducedfolate deficiency resulted in spermatogenic
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arrest and male infertility, findings whichprompted investigations of antifolate agentsas male contraceptives in humans.
Thus, through folate’s roles in the survivalof embryos through normalization ofneurulation and maintenance of malefertility, and its involvement in a range ofother physiological processes dependent onnucleotide biosynthesis, regulation of folatelevels appears to be critical to individualreproductive success. Folate levels inhumans are influenced by dietary intake offolic acid and by destructive, exogenousfactors such as UV radiation. Therefore, thesolution to the evolutionary problem ofmaintaining adequate folate levels in areasof high UV radiation involved the ingestionof adequate amounts of folic acid in the dietand protection against UV radiation-induced folate photolysis. The latter wasaccomplished by increasing the concen-tration of the natural sunscreen, melanin,in the skin. The low prevalences of severefolate deficiency (Lawrence, 1983;Lamparelli et al., 1988) and NTDs (Carter,1970; Elwood & Elwood, 1980; Buccimazzaet al., 1994; Wiswell et al., 1990; Shaw et al.,1994) observed among native Africans andAfrican Americans, even among individualsof marginal nutritional status, are probablydue to a highly melanized integument,which protects against folate photolysis.
Skin pigmentation and vitamin Dsynthesis
Vitamin D3 is essential for normal growth,calcium absorption and skeletal develop-ment. Deficiency of the vitamin can causedeath, immobilization, or pelvic deformitieswhich prevent normal childbirth (Neer,1975). Requirements for vitamin D3 areelevated in females during pregnancy andlactation because of the need for enhancedmaternal absorption of calcium in order tobuild the fetal and neonatal skeletal system(Whitehead et al., 1981; Kohlmeier &
Marcus, 1995; Brunvand et al., 1996). Inmost humans, casual exposure to sunlightleads to conversion of 7-dehydrocholesterolin the skin to previtamin D3 by UV photonsand subsequent isomerization of the latter tovitamin D3 at body temperature (Loomis,1967; Webb et al., 1988). Increasing themelanin in human skin increases the lengthof exposure to UV light that is neededto maximize synthesis of previtamin D3
(Holick et al., 1981). Deeply melanizedskins become nonadaptive under conditionswhere the concentration of melanin is toohigh to permit sufficient amounts of vitaminD3 precursor to be synthesized in the skinunder conditions of available UV radiation(Loomis, 1967; Holick et al., 1981; Clemenset al., 1982). If the duration of UV exposureis not sufficient to catalyze previtamin D3
synthesis, individuals are at much higher riskof vitamin D3 deficiency and its manifes-tations (rickets, osteomalacia, and osteo-porosis), as has been demonstrated byrecent migrants from Ethiopia to Israel(Fogelman et al., 1995) or from the Indiansubcontinent to urban centers in the U.K.(Henderson et al., 1987).
Following Murray (1934), Loomis (1967)argued that depigmentation of the skin was anecessary adaptation for humans attemptingto inhabit regions outside the tropics,especially those north of 40�N, whichreceive low average amounts of UV radi-ation throughout the year. In addition, headvocated the position that deeply pig-mented skin was also an adaptation forphysiological regulation of vitamin D3
levels. To Loomis, a highly melanizedintegument prevented UV-radiation-induced vitamin D3 toxicity caused byover-synthesis of previtamin D3. Both ofLoomis’s claims about integumentary pig-mentation in humans and vitamin D3 levelshave been challenged.
The hypothesis that deeply pigmentedskin protects against hypervitamosis Dunder conditions of high UV radiation has
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been conclusively disproven. Vitamin Dtoxicity is prevented by a ceiling effect onprevitamin D3 synthesis combined within vivo photolysis of vitamin D3 itself(Holick et al., 1981; Holick, 1987). VitaminD3 intoxication can occur as the result ofindividuals overdosing on vitamin supple-ments, but no cases of naturally occurringvitamin D3 intoxication have ever beenreported (Robins, 1991).
Loomis’s central hypothesis concerningdepigmentation of the integument ofhumans living at high latitudes as a require-ment for adequate vitamin D synthesis hasbeen most strongly challenged by Robins(1991). Robins’ main points are that earlyHomo at high latitudes was exposed to thefull impact of the natural environment. Evenwhen clad with animal skins and furs, heclaims that enough of the body’s surfacewould be exposed to permit synthesis ofadequate amounts of previtamin D3. Whilehe admits that winters in Europe duringglacials would have been particularly coldand dim, he indicates that the late springand summer would have afforded goodopportunities for hominids to expose theirskin to UV radiation. According to Robins(1991), the long, dull winters would nothave triggered widespread hypovitamosis Dand rickets because vitamin D can be storedin fat and muscle (Rosenstreich et al., 1971;Mawer et al., 1972). He suggests thatvitamin D deficiencies are a product of‘‘industrialization, urbanization and over-population’’ (Robins, 1991:207) and sup-ports his claim by pointing out that themajority of modern human populations thatsuffer from such problems are urban dwell-ers, deprived of natural sunlight and theopportunity to synthesize previtamin D3.According to Robins, dark-skinned humanpopulations living under conditions of lowannual UV radiation do not suffer fromvitamin D deficiencies that can be attributedto lack of sunlight. The depigmentation con-spicuous in peoples inhabiting the northern
hemisphere above 40�N cannot be traced,according to Robins, to the need to synthe-size vitamin D in their skin. Rather, peoplewith deeply pigmented skin can survive wellunder conditions of low annual UV radi-ation provided that they spend sufficienttime outdoors in the spring and summer tobuild up physiological stores of vitamin Dfor the winter (Robins, 1991). As is dis-cussed below, the findings of the currentstudy and the weight of current clinicalevidence do not support Robins’ counter-arguments against the vitamin D hypothesisof depigmentation.
Testing the relationship between skincolor and levels of UV radiation
Previous studies of the relationship betweenenvironmental variables and the skin colorof indigenous populations using skin re-flectance spectrophotometry demonstratedhighest associations with latitude (Roberts &Kahlon, 1976; Roberts, 1977; Tasa et al.,1985). These were interpreted as reflectingthe crucial role of UV radiation in determin-ing skin color. Until this time, accurate testsof this relationship were not possiblebecause accurate data on UVMED levelsat the Earth’s surface were not available.Because these data are now available(Herman & Celarier, 1996), we were able toapply them to two critical analyses: (1) inthe determination of the geographic distri-bution of the potential for previtamin D3
synthesis; and (2) in assessment of the re-lationship between surface UV radiationlevels and skin color reflectances for indig-enous populations.
Methods
Skin reflectance dataA database of skin reflectance data wascompiled from the literature. The databasecomprises samples designated as male,female, and both sexes, for reflectance at
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425 nm (blue filter), 545 nm (green filter)and 685 nm (red filter), for the upper innerarm site. In many primary reports, inter-mediate wavelength reflectance readingswere also provided, but these were not used.The complete skin reflectance data set withbibliographic sources is presented in theAppendix. The vast majority of these datahad been collected with the E.E.L. (EvansElectric Limited) reflectometer. Readingsfor Colombian natives were the only onestaken using the Photovolt abridged spectro-photometer. These measurements were con-verted to E.E.L.-comparable values by usingthe regression equation for Belize Creolesdeveloped by Lees & Byard (1978) desig-nated in the Appendix. As is obvious froman inspection of the collated data, the skinreflectance data set is far from complete andis strongly skewed toward representation ofindigenous human populations from the OldWorld. The inherent deficiencies of thisdatabase limited the scope of analyses thatcould be undertaken.
Indigenous populations were defined forpurposes of this study as those which hadexisted in their current locations for a longtime prior to European colonization. Thenames by which areas or groups wereidentified were taken from the originalcitations. Populations known to have highlevels of admixture or to have recentlymigrated to their current locations wereexcluded. Some populations were repre-sented by males only, others by males andfemales, and others where the values for thetwo sexes had been averaged by the originalworkers. In some cases, the sex of the sub-jects was not stated in the original report.Because more skin reflectance data exist formales than for females, analyses of skinreflectance in which data for the sexes werecombined are slightly biased toward malereflectance values. In cases where more thanone skin reflectance was measured for aspecific population, either for each sex or bymultiple workers, the means for each sex
were averaged, except in the cases notedbelow where the reflectance values for thesexes were analyzed separately.
Reflectance data were specified in orig-inal reports at varying levels of geographicaccuracy. Those specified to a small geo-graphic area such as township or countycould be matched to a small number ofaverage UVMED cell values. For thosespecified at the regional or country level, asingle skin reflectance value was associatedwith multiple UVMED cell values, depend-ing on the size of the region. These variedfrom one cell (e.g., Germany, Mainz;India, Goa) to 453 cells (Zaire). To over-come the problem of cell replication andartificial exaggeration of variance, theUVMED data for each specified area wasaveraged for that area to produce a singlevalue. This data reduction exercise made itpossible for a single skin reflectance valueto be evaluated relative to a single averageUVMED value.
Because Relethford (1997) has suggestedthat a different relationship between UVradiation and skin reflectance exists betweenthe northern and southern hemispheres,separate analyses were performed for bothhemispheres together and for each hemi-sphere separately. (The only analysis inwhich this was not done was that comparingthe significance of differences in skin reflect-ance between the sexes. See below.)Although the annual UVMED is equal forboth hemispheres, the seasonal distributionof UV radiation is different (Chaplin &Jablonski, 1998). The hemispheres also dif-fer in their respective land surface area(Chaplin & Jablonski, 1998) and degree ofland mass connectivity. It is impossible, forinstance, for non-seafarers to move aroundthe globe in the southern hemisphere.Lastly, the proportion of different vegetationzones between the hemispheres is different,with the northern hemisphere exhibitingmore extensive areas of forest, desert andmountains.
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Calculation of annual average UVMEDThe annual average values for UVMEDwere derived from readings taken from theNASA Total Ozone Mapping Spectrometer(TOMS) which was flown aboard theNimbus-7 satellite between 1978 and 1993(Herman & Celarier, 1996). The data rep-resent the relative daily areal exposure of UVradiation effective in causing skin irritation,computed at each 1·25 degree longitude byone degree latitude pixel, between 65�S and65�N; the solar flux was measured at noon(Herman & Celarier, 1996). These readingswere computed to account for the totalozone column and scene reflectivities (cloudand snow cover) in the same latitude–longitude pixel. These measurements werethen combined with the results of radiativetransfer calculations, terrain height, solarzenith angle and the model action spectrumof erythemal sensitivity for caucasoid skin(Herman & Celarier, 1996). The wave-length range of 280–400 nm sampled bythe TOMS ensured that all significant con-tributions to the erythemal exposure wereincluded in the UVMED. Because theaction spectrum is defined up to an arbitrarymultiplicative constant, the basic UVMEDdata are of arbitrary dimensions.
The original dataset was very large (over190,000 data points representing 37,400readings taken each day from 1979–1992).Therefore, an abridged dataset (the annualaverage UVMED) was produced by takingan average for all years of the average of the21st to the 23rd days of each month.
All data analyses in this study were under-taken using S-Plus� 2000 and ArcView�,reprojected in Mercator projection.
Analysis and visualization of the potential forvitamin D3 synthesisThe rate of previtamin D3 synthesis inlightly pigmented human skin exposed tonatural sunlight has been experimentallydetermined (Webb et al., 1988). Working inBoston, Massachusetts in 1986, Webb et al.
(1988) found that the earliest occurrence inthe year of previtamin D3 synthesis in neo-natal caucasoid foreskin samples was on 17March. Because the actual UVMED for thatplace and time was available from the NASATOMS dataset, values representing thepotential for vitamin D3 synthesis relative toannual average UVMED could be calcu-lated for all locations included in the NASATOMS dataset. It was then possible todefine distinct geographic zones represent-ing the differing potentials for vitamin D3
synthesis for light-skinned individuals. Theannual average UVMED and average skinreflectance measurement for each zone werethen calculated and compared. The skinreflectance data used for this analysis com-prised data for indigenous people (males,females, both sexes and unspecified sex),averaged by country and then by zone.
We also sought to demonstrate the poten-tial for vitamin D3 synthesis in the skin ofdark-skinned human populations. Thelength of time required for endogenousvitamin D3 biosynthesis increases withincreasing melanin concentration in the skin(Clemens et al., 1982; Holick et al., 1981).Thus, the data showing the time of exposureto UV radiation necessary to maximize pre-vitamin D3 formation in different humangroups were used to calculate the geographi-cal zones in which annual UVMED was notsufficient, averaged over the year, to catalyzeprevitamin D3 synthesis in moderately andhighly melanized skin.
Sexual differences in skin reflectanceIn order to test the hypothesis that femalesand males of the same populations differ intheir average skin reflectance, we selecteddata from specific population where skinreflectance measurements had been takenand reported separately for males andfemales. A standard two-sample t-test wasused to determine the significance of thedifferences between the sexes at the samelocality. Separate analyses for the northern
67
and southern hemispheres were not under-taken because the small sizes of the data-sets that met the above criteria wouldhave rendered hemisphere-specific analysesmeaningless. Further, our objective here wasnot to test the hypothesis that there is adifference between the hemispheres in thedegree of differentiation between the twosexes in skin reflectance.
The relationship of annual average UVMEDto skin reflectanceA correlation matrix was used to test thestrength of the relationships between annualaverage UVMED, latitude and skin re-flectance. This analysis was undertakenspecifically to determine the strength of thecorrelation of skin reflectance to UVMEDrelative to its correlation with latitude. Theskin reflectance data used in this analysiscomprised those from indigenous popu-lations, all-sex samples combined, averagedby country. For this analysis, latitude wastransformed to absolute latitude, i.e., theabsolute value of the latitude, whichexpresses the angle of a location from theEquator rather than relative north andsouth. It is unclear from previous studies ofhuman skin pigmentation as to whetherworkers utilized conventional latitude orabsolute latitude for purposes of correlationor regression analyses. Transformation oflatitude to absolute latitude is necessarybecause of the nonlinear relationshipbetween solar insolation and latitude. Thetransformation to absolute latitude rendersthis relationship more linear, and thus yieldsmuch higher correlations.
The relationship between UVMED andskin color reflectance was explored ingreater detail using a least squares regres-sion. For this analysis, the skin reflectancedata used were the same as those employedin the correlation matrix analysis describedabove. Separate regressions were developedfor data from each hemisphere, for each
widely used skin reflectance filter (425, 545and 685 nm).
Predicted vs. observed skin reflectancesIn order to compare predicted vs. observedvalues for the skin reflectances of indigenouspeoples, the largest available dataset forobserved skin reflectance (at 685 nm) wasused. It is important to note again that somepopulations were represented by males only,as both sexes combined, or as unspecifiedsex, as discussed. Although these variationsin sexual classification of the raw data addedto the expected variance of the pooled data-set, this problem could not be avoided.Significant outliers from the regression linewere then identified.
In order to construct a map of predictedskin colors for modern terrestrial environ-ments, a regression was computed betweenannual average UVMED and the observedskin reflectance. The observed reflectancesfor indigenous populations were based on allavailable data for a particular area or group.A regression equation derived from a largerdata set including values for males, females,both sexes and samples of unknown sex wasused:
Predicted skin color=annual average UVMED
(��0·1088)+72·7483.
Results
Analysis and visualization of the potential forvitamin D3 synthesisThree zones representing different poten-tials for UV-induced vitamin D3 synthesisin light-skinned humans were identified(Figure 1). The annual average UVMEDand average skin reflectance measurementfor each zone are presented in Table 1.Zone 1 was delimited as the area in whichthe average daily UVMED was sufficient tocatalyze previtamin D3 synthesis throughoutthe year. This zone comprises the area from
68 . . .
Fig
ure
1.T
hepo
tent
ial
for
synt
hesi
sof
prev
itam
inD
3in
light
lypi
gmen
ted
hum
ansk
inco
mpu
ted
from
annu
alav
erag
eU
VM
ED
.T
hehi
ghes
tan
nual
valu
esfo
rU
VM
ED
are
show
nin
light
viol
et,w
ith
incr
emen
tally
low
erva
lues
inda
rkvi
olet
,the
nin
light
toda
rksh
ades
ofbl
ue,o
rang
e,gr
een
and
gray
(64
clas
ses)
.W
hite
deno
tes
area
sfo
rw
hich
noU
VM
ED
data
exis
t.M
erca
tor
proj
ecti
on.
Inth
etr
opic
s,th
ezo
neof
adeq
uate
UV
radi
atio
nth
roug
hout
the
year
(Zon
e1)
isde
limit
edby
bold
blac
klin
es.L
ight
stip
plin
gin
dica
tes
Zon
e2,
inw
hich
ther
eis
nots
uffici
entU
Vra
diat
ion
duri
ngat
leas
tone
mon
thof
the
year
topr
oduc
epr
evit
amin
D3
inhu
man
skin
.Z
one
3,in
whi
chth
ere
isno
tsu
ffici
ent
UV
radi
atio
nfo
rpr
evit
amin
D3
synt
hesi
son
aver
age
for
the
who
leye
ar,
isin
dica
ted
byhe
avy
stip
plin
g.
69
approximately 5� north of the Tropic ofCancer to approximately 5� south of theTropic of Capricorn. Here, previtamin D3
could be synthesized in lightly pigmentedskin as a result of casual exposure to UVBthroughout all months of the year. Zone 2was defined as the area in which the aver-age daily UVMED for at least one monthwas not sufficient to produce previtaminD3 in lightly pigmented skin. (This zone isindicated by light stippling in Figure 1.)Large areas of the northern hemisphere fallwithin this zone. Zone 3 was defined as thearea in which the daily UVMED, averagedover the whole year, was not sufficient tocatalyze previtamin D3 synthesis in lightlypigmented skin. That is, it was the zone inwhich previtamin D3 synthesis resultingfrom UVB exposure, as averaged over thecourse of a year, was not sufficient tomeet minimum physiological requirements.(This zone is indicated by heavy stipplingin Figure 1.) Although there were somemonths around the summer solstice duringwhich there was sufficient UV radiationto bring about cutaneous previtamin D3
synthesis in Zone 3 (and the attendantpotential for vitamin D storage), the aver-age daily dose, when averaged over thecourse of a year, was not sufficient tocatalyze the reaction. In other words, in-sufficient ambient UV radiation is availableon a year by year (or long-term) basis to
permit adequate cutaneous biosynthesis ofprevitamin D3.
It is important to note that the zonesdefined in Figure 1 were calculated on thebasis of the potential for previtamin D3
synthesis in light skin. No comparable datawere available for dark skin. Data concern-ing the times of exposure necessary to maxi-mize previtamin D3 synthesis in skinsamples with different melanin concen-trations are known, however. These wereused to calculate the geographical zones inwhich annual UVMED was not sufficient,averaged over the year, to catalyze pre-vitamin D3 synthesis in moderately andhighly melanized skin (Table 2; Figure 2).Figure 2 is a comparison of the estimatedpositions of Zone 3 from Figure 1 for humanpopulations with lightly, moderately anddeeply melanized skin. The fact that for-mation of previtamin D3 takes more thanfive times as long in highly melanized (TypeVI) skin as it does in lightly melanized (TypeIII) skin means that the continental areasthat are ‘‘vitamin D safe’’ for darker skinsare considerably smaller than they are forlighter skins (Figure 2).
Sexual differences in skin reflectanceFemales were found to be significantlylighter (i.e., displaying higher reflectancevalues) than males regardless of the filterused to measure the reflectance (Table 3).
Table 1 Annual average UVMED and averageobserved skin reflectance measurements at685 nm (red filter) for each of the zones depictedin Figure 1 and described in the text
Zone
Annualaverage
UVMED
Average observedskin reflectance
at 685 nm
1 313·2 37·22 158·3 55·03 68·1 68·9
UVMED is measured in units of arbitrary dimension(Herman & Celarier, 1996).
The relationship of annual average UVMEDto skin reflectanceWhen the relationship between annual aver-age UVMED and values of skin reflectancefor the combined all-sexes dataset wasexamined using a correlation matrix it wasfound that, for skin reflectance at all wave-lengths, the correlation with annual averageUVMED and absolute latitude were bothhigh (Table 4). The correlation betweenskin reflectance and annual averageUVMED was stronger than the correlationbetween skin reflectance and absolute
70 . . .
latitude in three instances: for the 545 nm(green) filter reflectance for the separatehemispheres and for the 685 nm (red) filterreflectance for the southern hemisphere.The correlation between skin reflectanceand annual average UVMED was onlyslightly weaker than the correlation betweenskin reflectance and absolute latitude in afurther four instances: for the 425 nm (blue)filter reflectance for the southern hemi-sphere and both hemispheres combined, forthe 545 nm (green) filter reflectance for bothhemispheres combined, and for the 685 nm(red) filter reflectance for both hemispherescombined. In only two cases [425 nm (blue)for the northern hemisphere and 685 nm(red) for the northern hemisphere] was thecorrelation between skin reflectance andabsolute latitude much higher than thatbetween skin reflectance and annual averageUVMED. The correlation between annualaverage UVMED and absolute latitudebased on data from both hemispheres com-bined was found to be �0·935, muchhigher than the correlation with untrans-formed latitude, �0·741.
When the relationship between annualaverage UVMED and values of skin reflect-ance was examined using a least squaresregression model (Table 5), the highest r2
values were associated with green (545 nm)filter reflectance.
Predicted vs. observed skin reflectancesThe differences between observed and pre-dicted skin reflectance values at 685 nm forindigenous populations were generally small(Table 6; Figures 3 and 4), and the differ-ence between the average observed and pre-dicted values was not significant (P=0·9983;two-sample t-test), and did not detract fromthe validity of the predictive model.
Discussion
The results presented here strongly supportthe theory that the degree of melanin pig-mentation in human skin is an adaptationfor the regulation of penetration of UVradiation into the epidermis.
Table 2 The effect of melanin concentration on the estimated annual average UVMED values that,averaged for the year, are not sufficient to catalyze previtamin D3 synthesis in human skin
Skin type(humanpopulation)
Time of exposure tomaximize pre D3
formation (h)(range and mean)
Multiplier foramount of time
relative to skin TypeIIIa, calculated from
mean time of exposure
Estimated annualaverage UVMED
necessary tocatalyze pre D3
formation
Type IIIa (European) 0·50–0·75 (0·625) 1 68·1Type V (Asian) 0·75–1·50 (1·125) 1·8 122·6Type VI (African American) 3·00–3·50 (3·25) 5·2 354
The annual average UVMED value for Zone 3 in Table 1 (for lightly pigmented skin) was multiplied by a factorrepresenting the increased number of hours necessary to catalyze previtamin D3 synthesis in more heavilypigmented skin types, based on the results of Holick and colleagues (Holick et al., 1981). This yielded an estimateof the minimum annual average UVMED necessary to catalyze previtamin D3 synthesis in darker skin types. Thedesignations of skin type and human population are from the original source.
The geographic distribution of the potential forvitamin D3 synthesisSkin pigmentation is determined as much bythe requirements of previtamin D3 synthesisas by photoprotection. Within Zone 1 asdefined in this study, a clinal distribution ofskin reflectance relative to annual averageUVMED can be detected from inspectionof the values presented in Table 5. A cline
71
Fig
ure
2.A
com
pari
son
ofth
ees
tim
ated
area
sin
whi
chan
nual
UV
ME
Dis
not
suffi
cien
t,av
erag
edov
erth
eye
ar,
toca
taly
zepr
evit
amin
D3
synt
hesi
sin
light
ly,
mod
erat
ely
and
high
lym
elan
ized
skin
.A
llzo
nes
wer
ede
fined
byth
eva
lues
for
prev
itam
inD
3sy
nthe
sis
pote
ntia
lpr
esen
ted
inT
able
2.W
idel
ysp
aced
obliq
ueha
chur
eco
vers
the
nort
hern
mos
tre
gion
ofth
eN
orth
ern
Hem
isph
ere
inw
hich
ther
eis
not
suffi
cien
tU
Vra
diat
ion,
aver
aged
over
the
enti
reye
ar,
toca
taly
zeth
efo
rmat
ion
ofpr
evit
amin
D3
inlig
htly
pigm
ente
d(T
ype
IIIa
)hu
man
skin
(Zon
e3
from
Fig
ure
1).
Nar
row
lysp
aced
obliq
ueha
chur
ede
note
sth
ear
ea,i
nad
ditio
nto
that
show
nby
wid
ely
spac
edob
lique
hach
ure,
inw
hich
ther
eis
not
suffi
cien
tU
Vra
diat
ion
toca
taly
zeth
efo
rmat
ion
ofpr
evit
amin
D3
inm
oder
atel
ym
elan
ized
(Typ
eV
)sk
in.T
hela
rge
circ
um-E
quat
oria
lare
ade
note
dby
stip
plin
gco
vers
the
area
,in
addi
tion
toth
epr
evio
ustw
o,in
whi
chth
ere
isno
tsu
ffici
ent
UV
radi
atio
nav
erag
edov
erth
een
tire
year
toca
taly
zeth
efo
rmat
ion
ofpr
evit
amin
D3
inhi
ghly
mel
aniz
ed(T
ype
VI)
skin
.
72 . . .
Table 3 Difference between the means of femaleand male skin reflectances for a combined dataset of indigenous human populations, based onsamples from individual populations for whichseparate data for males and females were avail-able
Filter nm
Femalemean
reflectance
Malemean
reflectance
Two-samplet-test
P-value
425 (blue) 19·20 16·88 0545 (green) 23·93 22·78 0·0089685 (red) 47·20 45·09 0
For reflectances at all wavelengths, females werefound to be lighter (exhibiting higher reflectancevalues) than males.
Table 4 Results of the correlation matrix per-formed to examine the relationships betweenskin reflectance (at three wavelengths), absolutelatitude and annual average UVMED
Filter nm by hemisphere(NH, SH or both)
Absolutelatitude
Annualaverage
UVMED
425 (blue), NH 0·974 �0·714425 (blue), SH 0·694 �0·668425 (blue), both 0·966 �0·954545 (green), NH 0·908 �0·917545 (green), SH 0·620 �0·967545 (green), both 0·964 �0·957685 (red), NH 0·844 �0·632685 (red), SH 0·423 �0·498685 (red), both 0·827 �0·809
Table 5 The results of a least squares regressionmodel in which the relationship between skinreflectance values for indigenous humanpopulations and average annual UVMED wasexamined, by hemisphere
Filter nm, byhemisphere (NH,SH or both) Intercept Slope r2
425 (blue), NH 34·032 �0·059 0·4572425 (blue), SH 25·517 �0·045 0·3402545 (green), NH 45·046 �0·083 0·7747545 (green), SH 44·193 �0·092 0·7013685 (red), NH 65·575 �0·073 0·3995685 (red), SH 66·908 �0·103 0·2485685 (red), both 72·797 �0·109 0·6551
For the 685 nm (red) filter reflectance, a value is alsopresented for combined hemispheric skin reflectanceand UVMED data; this value was used to generate thepredicted skin color values in Table 6 and Figure 3, andto compare with those published in previous studies(see Discussion).
of depigmentation is more noticeable inZone 2, where increasing depigmentationhas helped to ensure maintenance ofadequate vitamin D3 production in the skinthroughout most months of the year.Although individuals in this zone do notreceive enough UVB during at least onemonth each year to catalyze previtamin D3
synthesis, intake of vitamin D3-containingfoods and the ability of the body to storevitamin D3 mitigates this short lapse inprevitamin D3 biosynthesis. For humansliving in this zone, however, the adoptionof more housebound lifestyles with lowUV radiation exposure combined with
inadequate vitamin D3 intake in recent yearshas resulted in a high prevalence of hypo-vitaminosis D (Thomas et al., 1998). Thisproblem is exacerbated if the human inhab-itants of Zone 2 are relatively dark-skinned.The high prevalence of hypovitaminosisD, rickets, osteomalacia and osteoporosisamong populations recently migrated fromthe Indian subcontinent to the U.K. ishigher than that for the light-skinned generalpopulation, and shows a marked north–south gradient consistent with UV-radiationdosage dependence (Hodgkin et al., 1973;Henderson et al., 1987).
Humans inhabiting Zone 3 are at highestrisk of severe vitamin D3 deficiency. Suc-cessful, long-term human habitation of thiszone has depended upon two key factors:the evolution of a depigmented integumentcapable of permitting maximum cutaneousprevitamin D3 synthesis under conditions ofavailable UV radiation and the consumptionof foodstuffs naturally high in vitamin D3
(such as fish and marine mammals). Recentmigrants to high latitude regions, such asGreenlanders, appear to be only very slowly
73
undergoing depigmentation because of theirvitamin D3-rich diet.
Robins (1991) has challenged the theorythat depigmentation in high latitude humanpopulations is due to the requirements ofendogenous vitamin D3 synthesis. He hasconcluded that, for early Homo sapiens onthe Eurasian or North American landscapesof the Pleistocene, ‘‘there is not a scintilla ofpaleontological or experimental evidencethat rickets (or osteomalacia) ever did orwould have manifested, regardless of skincolour [sic]’’ (Robins, 1991:208). Thepaleoenvironmental and clinical evidencenow at hand militates against thisinterpretation.
Populations of Homo sapiens (sensu stricto)have been established above the 40th paral-lel, in areas of low annual UV radiation, for,approximately, only the last 50,000 years.(It is important to note in this connectionthat there is no equivalent land mass in thesouthern hemisphere available for humanhabitation.) The period from approximately50,000 to 10,000 years ago comprises theLast Glaciation, and includes the LastGlacial Maximum (LGM) at 18,000 B.P.During this period, human habitation northof the Tropic of Cancer and, particularly,north of 40�N was limited by low tempera-tures and the proximity of ice sheets.Climatic oscillations were frequent andsudden, and had profound impacts on thedistributions of humans and the mammalsthey depended upon (Williams et al., 1993).The minimum distance of habitation sitesfrom the southern margin of the ice sheetswas approximately 400–600 km (Madeyska,1992). During the LGM, the areas ofEurope habitable by humans were charac-terized by extreme cold, with annual meanair temperatures 8�C colder than presentday, widespread decreases in precipitation,and fierce dust storms (Frenzel, 1992a,b).Accurate reconstruction of patterns ofhuman activity north of the 40th parallelfrom the period of 50,000 to 10,000 B.P. is
not possible. It can be safely said, however,that human populations—especially aroundthe LGM—here would have worn moreprotective clothing and would have neededto seek shelter from the elements more thanthey do today. The latter would have beenparticularly true of females and youngchildren.
Abundant clinical evidence attests to thefact that moderately to deeply pigmentedhumans suffer from various manifestationsof hypovitaminosis D3 (including rickets,osteomalacia and osteoporosis) when theiropportunities for endogenous vitamin D3
synthesis are restricted as a result of changesin lifestyle or geographical relocation.Manifestations of vitamin D3 deficiency insuch populations can be attributed to life-style changes such as more indoor living inurban environments and the wearing of con-cealing garments outdoors (Bachrach et al.,1979; Haworth & Dilling, 1986; Hendersonet al., 1987; Gullu et al., 1998; Wauters &Soesbergen, 1999). The phenomenon isequally true of populations who haverecently relocated from an area of highannual UV radiation to one of lower UV,and who have otherwise maintained allaspects of their original lifestyle (Hodgkinet al., 1973; Fogelman et al., 1995).Pregnant or lactating women and smallchildren undergoing rapid bone growth aremost susceptible to changes of UV radiationregime (Bachrach et al., 1979; Fogelmanet al., 1995; Gessner et al., 1997; Namgunget al., 1998; Waiters et al., 1999). VitaminD3 deficiencies are also common among theelderly, where they render individuals moresusceptible to osteoporosis and its sequelae(Davies et al., 1986; Thomas et al., 1998).The key point here is that overwhelmingclinical evidence demonstrates that even arelatively minor decrease in endogenoussynthesis of vitamin D3 as a result ofreduced annual UV radiation exposure cantrigger vitamin D3 deficiencies in moder-ately to deeply pigmented people. These
74 . . .
Observed vs. predicted values for human skin reflectance at 685 nm based onthe results of a linear regression model between observed reflectance for allavailable groups of indigenous humans and country averages of annualaverage UVMED
Country and population or area andhemisphere designation (NH or SH)
Observedreflectanceat 685 nm
Predictedreflectanceat 685 nm
Afghanistan/Iran (NH) 55·70 45·55Algeria (Aures) (NH) 58·05 47·91Australia (Darwin) (SH) 19·30 36·24Belgium (NH) 63·14 65·66Botswana (San) (SH) 42·40 39·45Brazil (Caingan) (SH) 49·40 48·53Brazil (Guarani) (SH) 47·20 45·29Burkina Faso (Kurumba) (NH) 28·60 34·23Cambodia (NH) 54·00 38·99Cameroon (Fali) (NH) 21·50 34·37Chad (Sara) (NH) 24·60 34·77China (Southern) (NH) 59·17 50·49China (Tibet) (NH) 54·70 41·78Ethiopia (NH) 31·70 32·70Ethiopia (Highland) (NH) 33·55 31·35Germany (Mainz) (NH) 66·90 65·21Greenland (Southern) (NH) 55·70 70·31India (NH) 44·60 48·85India (Bengal) (NH) 49·73 44·33India (Goa) (NH) 46·40 38·93India (Nagpur) (NH) 41·30 41·53India (Northern) (NH) 53·26 44·23India (Orissa) (NH) 32·05 41·52India (Punjab) (NH) 54·24 47·89India (Rajasthan) (NH) 52·00 42·19India (Southern) (NH) 46·70 37·60Iraq/Syria (Kurds) (NH) 61·12 51·50Ireland (Ballinlough) (NH) 65·20 67·11Ireland (Carnew) (NH) 64·50 65·84Ireland (Longford) (NH) 65·00 66·99Ireland (Rossmore) (NH) 64·75 66·73Israel (NH) 58·20 48·67Japan (Central) (NH) 55·42 58·51Japan (Hidakka) (NH) 59·10 63·58Japan (Northern) (NH) 54·90 61·34Japan (Southwest) (NH) 53·55 56·68Jordan (NH) 53·00 45·36Kenya (NH) 32·40 34·21Lebanon (NH) 58·20 50·74Liberia (NH) 29·40 40·52Libya (Cyrenaica) (NH) 53·50 44·19Libya (Fezzan) (NH) 44·00 41·31Libya (Tripoli) (NH) 54·40 48·83Malawi (SH) 27·00 38·67Mali (Dogon) (NH) 34·10 34·54Morocco (NH) 54·85 49·09Mozambique (Chopi) (SH) 19·45 43·84
Observed vs. predicted values were not found to be significantly different(P=0·9983), based on a standard two-sample t-test between the combined means forthe observed (46·449) and predicted (46·445) 685 nm (red) filter skin reflectancevalues.
Table 6
75
(Continued)
Country and population or area andhemisphere designation (NH or SH)
Observedreflectanceat 685 nm
Predictedreflectanceat 685 nm
Namibia (SH) 25·55 38·29Namibia (Okavango) (SH) 22·92 38·63Namibia (Rehoboth Baster) (SH) 32·90 36·49Nepal (Eastern) (NH) 50·42 46·31Netherlands (NH) 67·37 65·94Nigeria (Ebo) (NH) 28·20 41·86Nigeria (Yoruba) (NH) 27·40 39·62Pakistan (NH) 52·30 44·15Papua New Guinea (SH) 35·30 37·26Papua New Guinea (Goroka) (SH) 33·30 34·20Papua New Guinea (Karker) (SH) 32·00 37·25Papua New Guinea (Lufa) (SH) 31·20 36·88Papua New Guinea (Mt Hagan) (SH) 35·35 31·56Papua New Guinea (Port Moresby) (SH) 41·00 35·45Peru (Maranon) (SH) 43·05 42·28Peru (Nunoa) (SH) 47·70 34·89Philippines (Manila) (NH) 54·10 41·53Russia (Chechen) (NH) 53·45 59·04Saudi Arabia (NH) 52·50 38·65South Africa (SH) 42·50 45·67South Africa (Cape) (SH) 50·96 50·71South Africa (Hottentot) (SH) 46·80 43·91South Africa (San Central) (SH) 43·75 41·14Spain (Basques) (NH) 65·70 62·38Spain (Leon) (NH) 64·66 60·80Sudan (NH) 35·50 33·45Swaziland (SH) 35·60 44·62Tanzania (Nyatura) (SH) 25·80 34·12Tanzania (Sandewe) (SH) 28·90 32·13Tunisia (NH) 56·30 52·03Turkey (NH) 59·15 55·56United Kingdom (Cumberland) (NH) 66·75 66·99United Kingdom (London) (NH) 62·30 65·84United Kingdom (Northern) (NH) 66·10 67·49United Kingdom (Wales) (NH) 65·00 66·15Vietnam (NH) 55·90 43·59Zaire (NH) 33·20 37·46Zaire (Konda) (SH) 29·40 39·43Average 46·18 46·52
Table 6
deficiencies are more marked in repro-ductive females, growing children and theelderly. Because moderately to deeply pig-mented people require from two to six timesas much UV radiation as lightly pigmentedindividuals to catalyze the synthesis of anequivalent amount of previtamin D3 (Table2; Figure 2) (Holick et al., 1981; Clemenset al., 1982), they are highly susceptible to
vitamin D3 deficiencies caused by a changeof UV radiation regime. We therefore con-clude, contrary to Robins, that moderatelyto deeply pigmented modern human popu-lations are optimally tuned for endogenoussynthesis of vitamin D3 under the specificUV radiation regimes under which theyevolved. This fine-tuning is easily disruptedby changes of lifestyle or locale. This
76 . . .
Fig
ure
3.P
redi
cted
shad
ing
ofsk
inco
lors
for
indi
geno
ushu
man
sba
sed
onth
ere
sult
sof
alin
ear
regr
essi
onm
odel
inw
hich
skin
refle
ctan
ce(a
t68
5nm
)fo
rin
dige
nous
peop
les
inbo
thhe
mis
pher
esw
asal
low
edto
resp
ond
toan
nual
aver
age
UV
ME
Dfo
rbo
thhe
mis
pher
es.
The
pred
icte
dsk
inre
flect
ance
valu
esw
ere
first
divi
ded
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78 . . .
Sexual differences in skin reflectanceComparison of skin reflectances betweenthe sexes confirmed previous observationsthat human females are consistently lighterthan males (Byard, 1981; Robins, 1991).Although female skin coloration darkensthrough adolescence and adulthood andonly lightens after 45 (Wiskemann & Wisser,1956; Byard, 1981), females are still signifi-cantly lighter (that is, show a higher valuefor skin reflectance) than males for popu-lations in which males and females arerepresented from the same location. Thissuggests that the lighter skin pigmentation offemales is needed to permit relatively greaterUV light penetration of the integument forprevitamin D3 synthesis. The extra calciumneeds of females during pregnancy andlactation are met by increasing plasma con-centrations of 1.25-dihydroxyvitamin D,
which in turn enhances calcium absorp-tion in the intestine (Wilson et al., 1990;Whitehead et al., 1981). Skin pigmentationin human females thus represents a complexcompromise between the exigencies of photo-protection and previtamin D3 synthesis.
The documentation of lighter skin infemales than in males for all populationsraises a serious question concerning thevalidity of the hypothesis that human skincoloration is in large part determined bysexual selection (Diamond, 1988, 1991).Were this so, one would have to postulatethat there was a universal preference ofmales for females slightly lighter thanthemselves, even in populations purportedto prefer dark skin (e.g., Tasmanians;Diamond, 1988, 1991). Avoidance of thesun by females is practiced in some culturesand is probably maintained as a custom inthose cultures in part by mate choice. It isunlikely, however, that this acquired customwould have any effect on constitutive pig-mentation through time unless inherentlymore lightly pigmented females who alsoavoided the sun were more reproductivelysuccessful than more darkly pigmentedfemales who followed the same practice. Wesuggest that lighter pigmentation in humanfemales began as a trait directly tied toincreased fitness and was subsequentlyreinforced and enhanced in many humanpopulations by sexual selection.
Annual average UVMED and skin reflectancePrevious studies of the relationship betweenskin reflectance and environmental variables(Roberts & Kahlon, 1976; Tasa et al.,1985), undertaken before remote sensingdata on UV radiation were available, foundhighest correlations between 685 nm filterskin reflectance and latitude (r=0·835 byRoberts & Kahlon, 1976, and r=0·82 byTasa et al., 1985). Relative to these values,calculations based on the larger skin reflect-ance dataset amassed for this study showeda very similar correlation (r=0·827). The
situation applies equally to populations ofearly Homo sapiens that undertook migra-tions from eastern Africa into the circum-Mediterranean region and Europe. Theiroriginal levels of pigmentation would haveprecipitated vitamin D3 crises in their newenvironments, especially among females andinfants, and these crises would have beenmore severe the farther north the popu-lations ventured. Clinical evidence indicatesthat the ability of humans to store vitaminD3 and its metabolites for long periods oftime in fat and skeletal muscle is dependenton their pre-existing stores of the vitamin(Mawer et al., 1972). Individuals receivinglarge doses of vitamin D3 by injection for thefirst time showed rapid elimination of vita-min D3 metabolites within 7–10 days; thosewho had previously received them showed amuch more protracted schedule of elimi-nation (Mawer et al., 1972). Thus, thepotential for vitamin D3 storage is great ifthe intake or the endogenous synthesis ishigh; otherwise it is not. Robins’ argumentsagainst the depigmentation hypothesis are,therefore, not supported.
79
generally very high correlations between skinreflectance at all wavelengths and annualaverage UVMED speaks of the close re-lationship of UV radiation to skin color(contra Diamond, 1991).
The generally small differences foundbetween observed and expected values forskin coloration appear to reflect differencesbetween populations in duration of habi-tation in their respective areas. Populationsbelieved to have inhabited their current areaof distribution for 10–20,000 years (e.g.,Spanish Basques) conform most closely topredicted values for skin reflectance. Thosewhich are thought to have migrated intotheir current locations more recently (e.g.,Aboriginal Australians from Darwin who aremigrants from the Central Desert) conformless closely to predicted values.
Cultural practices have had significanteffects on rates of change of integumentarypigmentation in human populations thathave undergone migrations, especially in thelast 20,000 or so years. The first modernhuman inhabitants of Tibet, for instance,were clad, not naked. The skin of modernTibetans is lighter than would be predictedfrom the annual average UVMED aloneprobably because of the relative recency oftheir migration and because the obligatewearing of clothes has meant that the areasof skin available for previtamin D3 syn-thesis (such as the face) had to remainrelatively unpigmented. By the same token,immigrants to the New World who inhabittropical forests are also relatively lightly pig-mented. This is probably again because ofthe relative recency of their immigration, butalso because of their habitual shade-seekingbehavior (Hames, 1992), which mitigatesthe photolytic effects of UV radiation.
The specific role of melanin in human skinMelanin has general absorption from theinfrared to the ultraviolet, but the ab-sorption maxima of other integumentarypigments are more specific. Although it is
subject to the effects of melanin, the absorp-tion from oxyhemoglobin can be sampledwith a green (545 nm) filter. UV absorptionat this value is greater in lightly pigmentedindividuals and produces a greater ery-themal response (Daniels & Imbrie, 1958;Daniels, 1964). The strongest statisticalcorrelations between skin reflectance andUVMED are observed for the 545 nm filter(Tables 4 and 5), suggesting that the mainrole of melanin pigmentation in humans isregulation of the effects of UV radiation onthe contents of cutaneous blood vesselslocated in the dermis. This finding supportsthe proposition that skin reflectance, par-ticularly in the wavelength approximatingthe absorption maximum of oxyhemoglobin(545 nm), has been optimized by naturalselection to balance the conflicting require-ments of prevention of folate photolysis(photoprotection) and previtamin D3 syn-thesis (requiring UV penetration). Wewould predict that the relationship betweenannual average UVMED and green filterreflectance would be even stronger infemales than in males because of their needto optimize the endogenous synthesis ofprevitamin D3. Unfortunately, becauseinsufficient sex-specific reflectance data existfor each hemisphere, this hypothesis couldnot be conclusively tested.
Conclusions
The results presented here demonstrate thatskin coloration in humans is highly adaptiveand has evolved to accommodate thephysiological needs of humans as they havedispersed to regions of widely varying annualUVMED. The dual selective pressures ofphotoprotection and vitamin D3 synthesishave created two clines of skin pigmentation.The first cline, from the equator to the poles,is defined by the significantly greater needfor photoprotection at the equator in par-ticular and within the tropics in general.Deeply melanized skin protects againstfolate photolysis and helps to prevent
80 . . .
UV-induced injury to sweat glands (and sub-sequent disruption of thermoregulation). Thesecond cline, from approximately 30�N to theNorth Pole, is defined by the greater need inhigh latitudes to accommodate as much pre-vitamin D3 synthesis as possible in areas oflow annual UVMED. Humans inhabiting re-gions at the intersection of these clines dem-onstrate a potential for developing varyingdegrees of facultative pigmentation (tanning)(Quevedo et al., 1975). Moderately melan-ized skin would appear to be at risk of vitaminD3 deficiency and rickets under conditionswhere UV radiation is restricted as a result oflatitude, cultural practices or both.
The results of this study suggest that skinpigmentation is relatively labile, and thatadaptations to local UVMED conditionscan occur over relatively short periods ofgeological time. Thus, it is likely that somehuman lineages through time may have gonethrough alternating periods of depigmen-tation and pigmentation (or vice versa) asthey moved from one UVMED regime toanother. As the pace of human migrationshas quickened in recent centuries, more andmore populations are finding themselves liv-ing under UV irradiation regimes to whichthey are inherently poorly adapted (e.g.,the English who settled in Australia in thenineteenth and twentieth centuries, and theIndians and Pakistanis who have moved tonorthern England in recent decades), withmajor public health consequences (Kaidbeyet al., 1979; Henderson et al., 1987). Cul-tural practices such as sun-bathing and pur-dah have in some cases exacerbated theseconditions and mitigated others. Because ofits high degree of responsiveness to environ-mental conditions, skin pigmentation is ofno value in assessing the phylogeneticrelationships between human groups.
Acknowledgements
We express our deepest thanks to CarolBower, whose intellectual input and moral
support helped to move this research for-ward in its earliest stages. We also wishto express our gratitude to James Rohr,Fiona Stanley and Tom Poiker for usefuldiscussions, to Elizabeth Weatherhead forproviding access to the NASA TOMSUVMED data, to Kenneth Beals for provid-ing a digital copy of the unpublished data-base collated at Oregon State University,and to Charles Convis of the ConservationSupport Program of Environmental SystemsResearch Institute for donations of GIS soft-ware. Patty Shea-Diner is thanked for herconsiderable help in gathering bibliographicresources. Comments from C. Loring Braceand three anonymous reviewers led tosignificant improvements in the manuscript.
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86 . . .
Ap
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le5)
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gion
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onor
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nam
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ven
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th.A
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sour
ces
exce
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rth
ose
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cate
dto
befr
om‘‘
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eal’s
Dat
abas
e’’,
whi
chw
ere
kind
lypr
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edby
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ls.S
kin
refle
ctan
ces
for
filte
rsof
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eren
twav
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dby
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only
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erth
anth
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orin
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mea
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ssk
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flect
ance
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heon
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ose
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hich
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eco
nver
ted
usin
gth
efo
rmul
afo
rB
eliz
eC
reol
esof
Lee
s&
Bya
rd,
1978
.
87
App
end
ix(C
onti
nu
ed)
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ulat
ion
desi
gnat
ion
(as
inT
able
5)C
ount
ryor
regi
onS
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gion
orci
tyP
opul
atio
nna
me
give
nin
stud
yS
ex
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n(N
orth
ern)
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dS
ara
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dN
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aM
adjin
gay
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had
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laS
ara
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outh
ern
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ong
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gC
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ibet
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etIn
dia
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soor
ieT
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ans
MC
hina
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etT
ibet
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aM
usso
orie
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etan
sF
Col
ombi
aA
mer
icas
Reg
ion
De
Pla
nos
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hibo
sM
Eth
iopi
aE
thio
pia
Res
iden
tsof
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-Ark
ai(1
500
mal
titu
de)
ME
thio
pia
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iopi
aR
esid
ents
ofA
di-A
rkai
(150
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alti
tude
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iopi
aH
ighl
and
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ands
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iden
tsof
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arec
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mal
titu
de)
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thio
pia
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dE
thio
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man
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nIn
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thIn
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Aro
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nIn
dia
Nor
thIn
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Kha
tris
FIn
dia
Nor
ther
nIn
dia
Del
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aK
ayas
tha
(hus
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orth
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ern
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aE
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(Hig
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Cas
tes)
M
88 . . .
Ap
pen
dix
(Con
tin
ued
)
Pop
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ion
desi
gnat
ion
(as
inT
able
5)C
ount
ryor
regi
onS
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opul
atio
nna
me
give
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stud
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ex
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n,O
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Pun
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her)
FIn
dia
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jab
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(fat
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MIn
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Car
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dC
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wIr
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d(E
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Car
new
MIr
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dL
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ord
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and
(Eir
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ount
yL
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BIr
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dL
ongf
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and
(Eir
e)C
ount
yL
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MIr
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and
(Eir
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yL
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FIr
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dR
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and
(Eir
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FIr
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dR
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and
(Eir
e)R
ossm
ore
MIs
rael
Pal
esti
neP
ales
tine
MIs
rael
Pal
esti
neP
ales
tine
FJa
pan
Cen
tral
Japa
nJa
pan
(Cen
tral
)Ja
pane
seM
Japa
nC
entr
alJa
pan
Japa
n(C
entr
al)
Japa
nese
FJa
pan
Cen
tral
Japa
nC
entr
alJa
pane
seC
entr
alJa
pane
seB
Japa
nC
entr
alJa
pan
Tok
yoJa
pane
seM
Japa
nH
idak
aH
okka
ido
Hid
aka
Ain
uM
Japa
nH
idak
aH
okka
ido
Hid
aka
Ain
uF
89
App
end
ix(C
onti
nu
ed)
Pop
ulat
ion
desi
gnat
ion
(as
inT
able
5)C
ount
ryor
regi
onS
ubre
gion
orci
tyP
opul
atio
nna
me
give
nin
stud
yS
ex
Japa
nN
orth
ern
Japa
nJa
pan
(Nor
th)
Japa
nese
MJa
pan
Nor
ther
nJa
pan
Japa
n(N
orth
)Ja
pane
seF
Japa
nS
outh
wes
tJa
pan
Sou
thw
est
Sou
thw
est
MJa
pan
Sou
thw
est
Japa
nS
outh
wes
tS
outh
wes
tF
Jord
anJo
rdan
Jord
anN
on-v
illag
eA
rabs
MJo
rdan
Jord
anJo
rdan
All
Ara
bsM
Jord
anJo
rdan
Jord
anM
Jord
anA
zzar
qaJo
rdan
Jord
anA
zraq
depr
essi
onA
rab
villa
ger,
child
FJo
rdan
Azz
arqa
Jord
anJo
rdan
Azr
aqde
pres
sion
Ara
bvi
llage
rsM
Ken
yaK
enya
Ken
yaM
Kur
dish
Jew
sIr
aqN
eB
aghd
adK
urdi
shJe
ws
MK
urdi
shJe
ws
Iraq
Ne
Bag
hdad
Kur
dish
Jew
sM
Leb
anon
Leb
anon
Leb
anes
eM
Leb
anon
Leb
anon
Leb
anes
eF
Lib
eria
Lib
eria
Ger
man
yM
ainz
Afr
ican
sfr
omG
hana
and
Lib
eria
ML
ibya
Cyr
enai
caL
ibyi
aC
yren
aica
ML
ibya
Cyr
enai
caL
ibyi
aC
yren
aica
FL
ibya
Fez
zan
Lib
yia
Fez
zan
ML
ibya
Tri
poli
Lib
yia
Tri
polit
ania
ML
ibya
Tri
poli
Lib
yia
Tri
polit
ania
FM
alaw
iM
alaw
iM
ainl
yC
ewa
MM
ali
Dog
onM
ali
San
gaan
dB
oni
Dog
onM
Mal
iD
ogon
Mal
iS
anga
and
Bon
iD
ogon
FM
oroc
coM
oroc
coM
orac
cans
Mor
ocan
sB
Mor
occo
Mor
occo
Mor
occo
MM
ozam
biqu
eC
hopi
Moz
ambi
que
Sof
ala
Cho
piM
Moz
ambi
que
Cho
piM
ozam
biqu
eS
ofal
aC
hopi
FN
amib
iaN
amib
iaK
urun
gkur
uK
raal
Kur
ungk
uru
Kra
alB
Nam
ibia
Nam
ibia
Ton
doro
Ton
doro
BN
amib
iaO
kava
ngo
Nam
ibia
Bor
deri
ngon
Ang
ola
Oka
vang
oB
antu
,K
uang
ali
MN
amib
iaO
kava
ngo
Nam
ibia
Bor
deri
ngon
Ang
ola
Oka
vang
oB
antu
,K
uang
ali
FN
amib
iaO
kava
ngo
Nam
ibia
Bor
deri
ngon
Ang
ola
Oka
vang
oB
antu
,K
uang
ali
MN
amib
iaO
kava
ngo
Nam
ibia
Bor
deri
ngon
Ang
ola
Oka
vang
oB
antu
,K
uang
ali
FN
amib
iaO
kava
ngo
Nam
ibia
Bor
deri
ngon
Ang
ola
Oka
vang
oB
antu
,M
’buk
ushu
atB
agan
iF
Nam
ibia
Oka
vang
oN
amib
iaB
orde
ring
onA
ngol
aO
kava
ngo
Ban
tu,
M’b
ukus
huat
Bag
ani
MN
amib
iaO
kava
ngo
Nam
ibia
Bor
deri
ngon
Ang
ola
Oka
vang
oB
antu
,M
’buk
ushu
atB
agan
iM
Nam
ibia
Oka
vang
oN
amib
iaB
orde
ring
onA
ngol
aO
kava
ngo
Ban
tu,
M’b
ukus
huat
Bag
ani
F
90 . . .
Ap
pen
dix
(Con
tin
ued
)
Pop
ulat
ion
desi
gnat
ion
(as
inT
able
5)C
ount
ryor
regi
onS
ubre
gion
orci
tyP
opul
atio
nna
me
give
nin
stud
yS
ex
Nam
ibia
Reh
obot
hB
aste
rN
amib
iaB
orde
ring
onA
ngol
aB
lack
Bus
hmen
atB
agan
iM
Nam
ibia
Reh
obot
hB
aste
rN
amib
iaB
orde
ring
onA
ngol
aB
lack
Bus
hmen
atB
agan
iF
Nam
ibia
Reh
obot
hB
aste
rN
amib
iaB
orde
ring
onA
ngol
aB
lack
Bus
hmen
atB
agan
iM
Nam
ibia
Reh
obot
hB
aste
rN
amib
iaB
orde
ring
onA
ngol
aB
lack
Bus
hmen
atB
agan
iF
Nam
ibia
Reh
obot
hB
aste
rN
amib
iaR
ehob
oth
Bas
ters
MN
amib
iaR
ehob
oth
Bas
ter
Nam
ibia
Reh
obot
hB
aste
rsF
Nep
alE
aste
rnN
epal
Eas
tern
Jire
lB
Nep
alE
aste
rnN
epal
Eas
tern
Sun
war
BN
epal
Eas
tern
Nep
alE
aste
rnS
herp
aB
Nep
alE
aste
rnN
epal
Eas
tern
Tam
ang
BN
epal
Eas
tern
Nep
alE
aste
rnB
rahm
anB
Nep
alE
aste
rnN
epal
Eas
tern
Che
tri
BN
epal
Eas
tern
Nep
alE
aste
rnA
vera
geB
Nep
alE
aste
rnN
epal
Eas
tern
Jire
lM
Nep
alE
aste
rnN
epal
Eas
tern
Jire
lF
Net
herl
ands
Net
herl
ands
Dut
chB
Net
herl
ands
Net
herl
ands
Dut
ch(m
ainl
yre
side
ntin
Utr
echt
)M
Net
herl
ands
Net
herl
ands
Dut
ch(m
ainl
yre
side
ntin
Utr
echt
)F
Nig
eria
Ibo
Nig
eria
Sou
ther
n(I
bada
n)Ib
oM
Nig
eria
Yor
uba
Nig
eria
Sou
ther
n(I
bada
n)Y
orub
aM
Nig
eria
Yor
uba
Nig
eria
Sou
ther
n(I
bada
n)Y
orub
aF
Nig
eria
Yor
uba
Nig
eria
Lag
osA
fric
ans
MP
akis
tan
Pak
ista
nP
akis
tan
MP
akis
tan
Pak
ista
nP
akis
tan
FP
akis
tan
Pak
ista
nM
Pap
uaK
arke
rP
apua
-New
Gui
nea
Kar
kar
Isla
ndK
arke
rIs
land
ers
FP
apua
Luf
aP
apua
-New
Gui
nea
Wes
tern
Hig
hlan
dsL
ufa
villa
gers
MP
apua
Luf
aP
apua
-New
Gui
nea
Wes
tern
Hig
hlan
dsL
ufa
villa
gers
FP
apua
Mt
Hag
anP
apua
-New
Gui
nea
Mou
ntH
agan
Wes
tern
Hig
hlan
dsM
Pap
uaM
tH
agan
Pap
ua-N
ewG
uine
aM
ount
Hag
anW
este
rnH
ighl
ands
FP
apua
New
Gui
nea
Pap
ua-N
ewG
uine
aP
apua
nsP
apua
nsB
Pap
uaP
ort
Mor
esby
Pap
ua-N
ewG
uine
aP
ort
Mor
esby
Han
uaba
daB
Per
uM
aran
onP
eru
Mar
anon
Val
ley
Agu
aran
aIn
dian
sM
Per
uM
aran
onP
eru
Mar
anon
Val
ley
Agu
aran
aIn
dian
sF
Per
uN
unoa
Per
uN
unoa
Az
BP
hilip
pine
sM
anila
Phi
lippi
nes
Man
ilaF
ilipi
noM
91
App
end
ix(C
onti
nu
ed)
Pop
ulat
ion
desi
gnat
ion
(as
inT
able
5)C
ount
ryor
regi
onS
ubre
gion
orci
tyP
opul
atio
nna
me
give
nin
stud
yS
ex
Rus
sia
Che
chen
Rus
sia
Che
chni
aC
hech
enF
Rus
sia
Che
chen
Rus
sia
Che
chni
aC
hech
enM
Sau
diA
rabi
aS
audi
Sau
diM
Sou
thA
fric
aS
outh
Afr
ica
Joha
nnes
burg
S.
A.
Neg
roes
(73%
Tsw
ana
and
Xho
sa)
MS
outh
Afr
ica
Sou
thA
fric
aJo
hann
esbu
rgS
.A
.N
egro
es(7
3%T
swan
aan
dX
hosa
)F
Sou
thA
fric
aS
outh
Afr
ica
Ban
tu(9
6%X
hosa
)M
Sou
thA
fric
aS
outh
Afr
ica
Ban
tu(9
6%X
hosa
)F
Sou
thA
fric
aC
ape
Sou
thA
fric
aC
ape
Pro
vinc
eC
ape
Col
oure
dsM
Sou
thA
fric
aC
ape
Sou
thA
fric
aC
ape
Pro
vinc
eC
ape
Col
oure
dsF
Sou
thA
fric
aC
ape
Sou
thA
fric
aC
ape
Pro
vinc
eC
ape
Col
oure
dsM
Sou
thA
fric
aC
ape
Sou
thA
fric
aC
ape
Pro
vinc
eC
ape
Col
oure
dsF
Sou
thA
fric
aH
otte
ntot
Sou
thA
fric
aN
amaq
uala
ndH
otte
ntot
MS
outh
Afr
ica
Hot
tent
otS
outh
Afr
ica
Nam
aqua
land
Hot
tent
otF
Sou
thA
fric
aS
anC
entr
alN
amib
iaW
arm
bath
Hot
tent
otM
Sou
thA
fric
aS
anC
entr
alN
amib
iaW
arm
bath
Hot
tent
otF
Spa
inB
asqu
esS
pain
Gui
puzc
oaB
asqu
esF
Spa
inB
asqu
esS
pain
Gui
puzc
oaB
asqu
esM
Spa
inB
asqu
esS
pain
Viz
caya
Bas
ques
FS
pain
Bas
ques
Spa
inV
izca
yaB
asqu
esM
Spa
inB
asqu
esS
pain
Bis
cay
Bas
que
and
non-
Bas
ques
MS
pain
Leo
nS
pain
Leo
nM
eset
aM
Spa
inL
eon
Spa
inL
eon
Cab
rera
MS
pain
Leo
nS
pain
Leo
nB
ierz
oM
Spa
inL
eon
Spa
inL
eon
Mon
tana
MS
pain
Leo
nS
pain
Leo
nM
arag
ater
iaM
Sud
anS
udan
Sud
anM
Sw
azila
ndS
outh
Afr
ica
Joha
nnes
burg
and
Sw
azila
ndS
waz
isM
Sw
azila
ndS
outh
Afr
ica
Joha
nnes
burg
and
Sw
azila
ndS
waz
isF
Syr
iaD
ruze
Jord
anJo
rdan
Azr
aqD
epre
ssio
nD
ruze
MT
anza
nia
Nya
tura
Tan
zani
aN
yatu
raM
Tan
zani
aN
yatu
raT
anza
nia
Nya
tura
FT
anza
nia
San
dew
eT
anza
nia
San
daw
eM
Tan
zani
aS
ande
we
Tan
zani
aS
anda
we
FT
unis
iaT
unis
iaT
unis
ians
Tun
isia
nsB
Tur
key
Tur
key
Tur
key
MT
urke
yT
urke
yT
urke
yF
92 . . .
Ap
pen
dix
(Con
tin
ued
)
Pop
ulat
ion
desi
gnat
ion
(as
inT
able
5)C
ount
ryor
regi
onS
ubre
gion
orci
tyP
opul
atio
nna
me
give
nin
stud
yS
ex
Uni
ted
Kin
gdom
Cum
berl
and
Uni
ted
Kin
gdom
Cum
berl
and
FU
nite
dK
ingd
omC
umbe
rlan
dU
nite
dK
ingd
omC
umbe
rlan
dM
Uni
ted
Kin
gdom
Lon
don
Uni
ted
Kin
gdom
Lon
don
Eur
opea
nsF
Uni
ted
Kin
gdom
Lon
don
Uni
ted
Kin
gdom
Lon
don
Eur
opea
nsM
Uni
ted
Kin
gdom
Nor
ther
nU
nite
dK
ingd
omN
orth
umbe
rlan
dH
oly
Isla
ndM
Uni
ted
Kin
gdom
Nor
ther
nU
nite
dK
ingd
omN
orth
umbe
rlan
dH
oly
Isla
ndF
Uni
ted
Kin
gdom
Nor
ther
nU
nite
dK
ingd
omL
iver
pool
Eur
opea
nsB
Uni
ted
Kin
gdom
Nor
ther
nU
nite
dK
ingd
omN
orth
umbe
rlan
dN
orth
Nor
thum
berl
and
FU
nite
dK
ingd
omN
orth
ern
Uni
ted
Kin
gdom
Nor
thum
berl
and
Nor
thN
orth
umbe
rlan
dM
Uni
ted
Kin
gdom
Nor
ther
nU
nite
dK
ingd
omN
orth
umbe
rlan
dS
outh
-eas
tN
orth
umbe
rlan
dF
Uni
ted
Kin
gdom
Nor
ther
nU
nite
dK
ingd
omN
orth
umbe
rlan
dS
outh
-eas
tN
orth
umbe
rlan
dM
Uni
ted
Kin
gdom
Wal
esU
nite
dK
ingd
omB
riti
shIs
les
Isle
ofM
anF
Uni
ted
Kin
gdom
Wal
esU
nite
dK
ingd
omB
riti
shIs
les
Isle
ofM
anM
Uni
ted
Kin
gdom
Wal
esU
nite
dK
ingd
omW
ales
Mer
thyr
Tyd
filF
Uni
ted
Kin
gdom
Wal
esU
nite
dK
ingd
omW
ales
Mer
thyr
Tyd
filM
Uni
ted
Kin
gdom
Wal
esU
nite
dK
ingd
omW
ales
(Sou
thw
est)
Nor
thP
embr
okes
hire
FU
nite
dK
ingd
omW
ales
Uni
ted
Kin
gdom
Wal
es(S
outh
wes
t)N
orth
Pem
brok
eshi
reM
Uni
ted
Kin
gdom
Wal
esU
nite
dK
ingd
omW
ales
(Sou
thw
est)
Sou
thP
embr
okes
hire
FU
nite
dK
ingd
omW
ales
Uni
ted
Kin
gdom
Wal
es(S
outh
wes
t)S
outh
Pem
brok
eshi
reM
Vie
tnam
Vie
tnam
Vie
tnam
ese
MV
ietn
amV
ietn
amV
eitn
ames
eB
Zai
reZ
aire
Zai
re2
Zai
reB
Zai
reZ
aire
Con
gole
seex
cept
3C
amer
oon
fem
ales
MZ
aire
Zai
reC
ongo
lese
exce
pt3
Cam
eroo
nfe
mal
esF
Zai
reK
onda
Zai
reK
onda
0·9–
18·2
Oto
MZ
aire
Kon
daZ
aire
Kon
da0·
9–18
·2T
wa
M
93
App
end
ix
Pop
ulat
ion
desi
gnat
ion
(as
inT
able
5)E
EL
(E)
orph
otov
olt
(P)
420
nm42
5nm
450
nm46
5nm
485
nm51
5nm
525
nm54
5nm
550
nm
Afg
hani
stan
/Ira
nE
24·2
31·7
Alg
eria
Aur
esE
Alg
eria
Aur
esE
Aus
tral
iaD
arw
inE
Bel
gium
EB
elgi
umE
36·5
37·7
33·5
44·7
46·7
46·7
38·6
44·8
42·7
Bel
gium
E35
·736
·532
·743
·545
·345
·738
·244
·642
·3B
elgi
umE
37·1
39·1
33·8
45·5
46·6
46·1
38·6
43·8
42·5
Bel
gium
E36
·338
·232
·843
·744
·544
·838
·143
·241
·9B
otsw
ana
San
E12
·712
·79·
315
·516
·217
·213
·818
·119
·1B
otsw
ana
San
E13
·213
·79·
716
·617
·418
·214
·419
·020
·0B
otsw
ana
San
E14
·4B
otsw
ana
San
E15
·2B
otsw
ana
San
E16
·2B
otsw
ana
San
E17
·2B
otsw
ana
San
E15
·6B
otsw
ana
San
E16
·4B
razi
lC
aing
anE
16·5
22·9
Bra
zil
Cai
ngan
E18
·426
·1B
razi
lG
uara
niE
17·2
23·4
Bra
zil
Gua
rani
E16
·823
·6B
urki
naF
aso
Kur
umba
E8·
610
·86·
312
·011
·011
·08·
411
·612
·2B
urki
naF
aso
Kur
umba
E8·
811
·46·
412
·511
·611
·48·
612
·012
·5C
ambo
dia
EC
amer
oon
Fal
iE
6·5
7·3
5·0
7·4
7·4
7·6
5·7
7·9
7·7
Cam
eroo
nF
ali
E6·
77·
75·
17·
67·
67·
95·
98·
28·
1C
amer
oon
Fal
iE
6·7
7·4
5·2
7·7
7·7
8·0
6·0
8·4
8·1
Cam
eroo
nF
ali
E7·
28·
15·
38·
08·
08·
56·
38·
79·
0C
had
Sar
aE
Cha
dS
ara
EC
hina
Sou
ther
nE
Chi
naS
outh
ern
EC
hina
Tib
etE
Chi
naT
ibet
EC
olom
bia
PE
thio
pia
E8·
311
·0E
thio
pia
E9·
813
·1
94 . . .
Ap
pen
dix
(Con
tin
ued
)
Pop
ulat
ion
desi
gnat
ion
(as
inT
able
5)E
EL
(E)
orph
otov
olt
(P)
420
nm42
5nm
450
nm46
5nm
485
nm51
5nm
525
nm54
5nm
550
nm
Eth
iopi
aH
ighl
and
E9·
512
·7E
thio
pia
Hig
hlan
dE
10·3
14·3
Ger
man
yM
ainz
E37
·540
·334
·645
·547
·447
·139
·845
·243
·6G
reen
land
Sou
ther
nE
22·4
29·9
Indi
aE
Indi
aB
enga
lE
13·6
13·9
10·1
17·0
18·2
19·9
15·1
20·4
20·2
Indi
aB
enga
lE
16·4
16·3
12·9
19·7
21·1
22·8
19·0
24·3
23·3
Indi
aB
enga
lE
17·1
17·2
13·4
20·4
21·7
24·0
19·6
24·3
24·1
Indi
aB
enga
lE
17·6
18·4
14·1
21·3
24·0
25·4
20·8
25·3
25·2
Indi
aB
enga
lE
17·1
18·3
13·4
20·3
21·9
23·2
19·8
24·5
24·2
Indi
aG
oaE
Indi
aN
agpu
rE
12·3
13·3
9·2
14·8
15·7
16·9
13·4
18·2
18·7
Indi
aN
orth
ern
E14
·322
·0In
dia
Nor
ther
nE
15·4
23·6
Indi
aN
orth
ern
E15
·724
·0In
dia
Nor
ther
nE
16·5
25·1
Indi
aN
orth
ern
E17
·226
·0In
dia
Nor
ther
nE
20·7
Indi
aN
orth
ern
E21
·1In
dia
Nor
ther
nE
21·7
Indi
aN
orth
ern
E14
·913
·911
·617
·118
·919
·617
·321
·521
·2In
dia
Nor
ther
nE
17·0
16·8
13·4
20·3
22·8
23·5
20·1
24·8
24·4
Indi
aN
orth
ern
E15
·614
·512
·118
·019
·920
·918
·222
·322
·4In
dia
Nor
ther
nE
Indi
aN
orth
ern
EIn
dia
Nor
ther
nE
18·6
21·4
14·9
25·2
26·5
28·0
22·2
27·9
26·6
Indi
aO
riss
aE
9·6
9·8
7·0
10·3
10·7
11·5
9·6
12·4
13·7
Indi
aO
riss
aE
9·7
10·3
7·1
10·7
11·2
11·8
12·7
14·1
Indi
aP
unja
bE
18·2
17·9
14·4
22·0
24·4
25·9
21·6
26·2
26·4
Indi
aP
unja
bE
18·6
18·8
14·8
23·3
25·5
27·0
22·2
27·0
27·0
Indi
aP
unja
bE
18·2
17·8
14·4
22·4
24·5
26·0
21·7
26·2
26·4
Indi
aP
unja
bE
18·7
18·6
14·9
23·0
25·5
27·0
22·4
27·2
27·3
Indi
aP
unja
bE
20·1
23·4
16·6
27·5
28·3
30·5
24·4
30·9
29·6
Indi
aP
unja
bE
19·5
23·1
16·0
27·0
27·7
29·5
23·6
29·7
28·5
Indi
aP
unja
bE
19·3
21·8
15·8
26·0
26·7
28·7
23·2
29·3
28·2
Indi
aP
unja
bE
18·4
20·5
15·0
24·2
25·0
27·0
22·0
27·4
26·8
95
App
end
ix(C
onti
nu
ed)
Pop
ulat
ion
desi
gnat
ion
(as
inT
able
5)E
EL
(E)
orph
otov
olt
(P)
420
nm42
5nm
450
nm46
5nm
485
nm51
5nm
525
nm54
5nm
550
nm
Indi
aP
unja
bE
21·3
Indi
aP
unja
bE
Indi
aR
ajas
than
E16
·224
·7In
dia
Sou
ther
nE
Iran
Now
shah
rE
17·9
18·2
14·6
21·6
24·4
26·6
21·1
27·2
25·8
Iran
Now
shah
rE
22·8
28·0
19·4
32·9
35·6
37·3
28·5
37·6
33·6
Iraq
Syr
iaK
urds
E35
·738
·932
·441
·242
·743
·338
·143
·041
·6Ir
aqS
yria
Kur
dsE
27·4
34·1
Iraq
Syr
iaK
urds
E31
·239
·1Ir
elan
dB
alin
loug
hE
35·4
40·9
Irel
and
Bal
inlo
ugh
E36
·241
·9Ir
elan
dC
arne
wE
37·2
42·1
Irel
and
Car
new
E34
·939
·4Ir
elan
dL
ongf
ord
E35
·036
·732
·241
·044
·844
·637
·041
·440
·8Ir
elan
dL
ongf
ord
EIr
elan
dL
ongf
ord
EIr
elan
dR
ossm
ore
E35
·741
·8Ir
elan
dR
ossm
ore
E34
·640
·7Is
rael
E26
·433
·6Is
rael
E29
·637
·3Ja
pan
Cen
tral
E18
·815
·124
·426
·327
·022
·627
·727
·3Ja
pan
Cen
tral
E20
·717
·128
·630
·432
·125
·232
·930
·2Ja
pan
Cen
tral
E26
·730
·5Ja
pan
Cen
tral
EJa
pan
Hid
aka
E20
·616
·729
·230
·831
·925
·231
·729
·9Ja
pan
Hid
aka
E22
·919
·033
·335
·136
·828
·337
·631
·6Ja
pan
Nor
ther
nE
19·4
15·7
26·1
27·8
28·8
23·4
29·5
28·2
Japa
nN
orth
ern
E21
·017
·529
·731
·233
·125
·633
·630
·6Ja
pan
Sou
thw
est
E18
·114
·523
·024
·325
·721
·426
·926
·3Ja
pan
Sou
thw
est
E20
·617
·129
·731
·431
·025
·633
·730
·3Jo
rdan
E22
·430
·4Jo
rdan
E21
·629
·3Jo
rdan
E23
·731
·1Jo
rdan
Azz
arqa
E16
·724
·2Jo
rdan
Azz
arqa
E20
·327
·6K
enya
E11
·914
·0
96 . . .
Ap
pen
dix
(Con
tin
ued
)
Pop
ulat
ion
desi
gnat
ion
(as
inT
able
5)E
EL
(E)
orph
otov
olt
(P)
420
nm42
5nm
450
nm46
5nm
485
nm51
5nm
525
nm54
5nm
550
nm
Kur
dish
Jew
sE
21·1
29·2
Kur
dish
Jew
sE
24·2
33·7
Leb
anon
E27
·034
·4L
eban
onE
28·7
36·6
Lib
eria
E9·
013
·67·
212
·112
·213
·38·
813
·713
·1L
ibya
Cyr
enai
caE
19·0
26·6
Lib
yaC
yren
aica
E24
·332
·3L
ibya
Fez
zan
E14
·920
·7L
ibya
Tri
poli
E19
·827
·4L
ibya
Tri
poli
E24
·733
·6M
alaw
iE
9·0
1·2
10·0
Mal
iD
ogon
E11
·511
·011
·412
·911
·914
·0M
ali
Dog
onE
11·8
11·2
11·5
13·1
11·9
14·4
Mor
occo
EM
oroc
coE
21·2
28·1
Moz
ambi
que
Cho
piE
7·3
Moz
ambi
que
Cho
piE
7·7
Nam
ibia
EN
amib
iaE
Nam
ibia
Oka
vang
oE
Nam
ibia
Oka
vang
oE
Nam
ibia
Oka
vang
oE
Nam
ibia
Oka
vang
oE
Nam
ibia
Oka
vang
oE
Nam
ibia
Oka
vang
oE
Nam
ibia
Oka
vang
oE
Nam
ibia
Oka
vang
oE
Nam
ibia
Reh
obot
hB
aste
rE
Nam
ibia
Reh
obot
hB
aste
rE
Nam
ibia
Reh
obot
hB
aste
rE
Nam
ibia
Reh
obot
hB
aste
rE
Nam
ibia
Reh
obot
hB
aste
rE
17·2
Nam
ibia
Reh
obot
hB
aste
rE
20·6
Nep
alE
aste
rnE
16·5
25·2
Nep
alE
aste
rnE
17·7
26·3
Nep
alE
aste
rnE
19·7
29·5
97
App
end
ix(C
onti
nu
ed)
Pop
ulat
ion
desi
gnat
ion
(as
inT
able
5)E
EL
(E)
orph
otov
olt
(P)
420
nm42
5nm
450
nm46
5nm
485
nm51
5nm
525
nm54
5nm
550
nm
Nep
alE
aste
rnE
15·9
24·4
Nep
alE
aste
rnE
19·0
28·4
Nep
alE
aste
rnE
17·7
26·1
Nep
alE
aste
rnE
17·4
26·1
Nep
alE
aste
rnE
16·2
24·8
Nep
alE
aste
rnE
19·5
23·9
Net
herl
ands
EN
ethe
rlan
dsE
37·8
39·7
34·7
46·8
48·3
47·8
39·3
44·7
43·3
Net
herl
ands
E36
·437
·733
·144
·645
·845
·838
·043
·242
·0N
iger
iaIb
oE
8·7
8·7
6·5
9·2
9·3
10·7
8·6
11·2
11·7
Nig
eria
Yor
uba
E7·
78·
05·
98·
38·
19·
77·
410
·19·
7N
iger
iaY
orub
aE
8·4
8·5
6·3
8·9
8·9
10·5
8·3
11·1
11·0
Nig
eria
Yor
uba
E9·
912
·87·
712
·613
·114
·110
·114
·914
·4P
akis
tan
E20
·526
·9P
akis
tan
E21
·928
·4P
akis
tan
EP
apua
Kar
ker
E10
·115
·0P
apua
Luf
aE
9·1
13·3
Pap
uaL
ufa
E9·
313
·8P
apua
Mt
Hag
anE
Pap
uaM
tH
agan
EP
apua
New
Gui
nea
EP
apua
Por
tM
ores
byE
Per
uM
aran
onE
24·5
Per
uM
aran
onE
24·7
Per
uN
unoa
EP
hilip
pine
sM
anila
ER
ussi
aC
hech
enE
21·2
29·1
Rus
sia
Che
chen
E27
·433
·6S
audi
Ara
bia
E21
·028
·0S
outh
Afr
ica
E12
·415
·39·
217
·917
·018
·113
·118
·218
·8S
outh
Afr
ica
E13
·316
·510
·019
·318
·720
·014
·520
·620
·5S
outh
Afr
ica
E10
·110
·67·
612
·312
·412
·810
·513
·714
·7S
outh
Afr
ica
E11
·612
·68·
614
·514
·815
·512
·316
·817
·4S
outh
Afr
ica
Cap
eE
16·1
15·8
12·5
19·4
20·5
21·5
18·7
22·7
23·1
Sou
thA
fric
aC
ape
E17
·918
·514
·322
·424
·325
·421
·327
·026
·0
98 . . .
Ap
pen
dix
(Con
tin
ued
)
Pop
ulat
ion
desi
gnat
ion
(as
inT
able
5)E
EL
(E)
orph
otov
olt
(P)
420
nm42
5nm
450
nm46
5nm
485
nm51
5nm
525
nm54
5nm
550
nm
Sou
thA
fric
aC
ape
ES
outh
Afr
ica
Cap
eE
Sou
thA
fric
aH
otte
ntot
ES
outh
Afr
ica
Hot
tent
otE
Sou
thA
fric
aS
anC
entr
alE
Sou
thA
fric
aS
anC
entr
alE
Spa
inB
asqu
esE
31·0
29·2
28·5
35·9
40·9
40·9
34·4
40·9
38·7
Spa
inB
asqu
esE
31·6
30·0
28·7
37·0
41·2
40·9
34·1
39·6
38·3
Spa
inB
asqu
esE
30·8
29·0
28·1
35·5
40·1
40·4
34·0
40·0
38·3
Spa
inB
asqu
esE
31·5
30·0
28·7
36·6
41·1
40·7
34·2
39·6
38·4
Spa
inB
asqu
esE
32·6
34·1
29·0
36·2
38·3
39·8
35·1
39·5
38·6
Spa
inL
eon
E31
·129
·014
·336
·439
·024
·436
·8S
pain
Leo
nE
29·3
26·3
33·4
36·5
36·1
Spa
inL
eon
E30
·027
·434
·437
·135
·5S
pain
Leo
nE
30·8
28·5
36·0
37·8
35·1
Spa
inL
eon
E28
·425
·112
·731
·834
·833
·4S
udan
E12
·214
·7S
waz
iland
E9·
89·
77·
211
·010
·313
·310
·113
·913
·1S
waz
iland
E11
·210
·58·
212
·212
·314
·912
·016
·515
·9S
yria
Dru
zeE
22·5
30·0
Tan
zani
aN
yatu
raE
7·8
10·2
Tan
zani
aN
yatu
raE
8·6
10·6
Tan
zani
aS
ande
we
E8·
811
·1T
anza
nia
San
dew
eE
9·1
11·7
Tun
isia
ET
urke
yE
28·8
36·6
Tur
key
E30
·038
·0U
nite
dK
ingd
omC
umbe
rlan
dE
36·9
42·4
Uni
ted
Kin
gdom
Cum
berl
and
E35
·841
·8U
nite
dK
ingd
omL
ondo
nE
34·4
34·3
30·8
41·4
43·1
43·9
35·6
40·5
39·7
Uni
ted
Kin
gdom
Lon
don
E33
·332
·829
·539
·741
·441
·634
·037
·938
·1U
nite
dK
ingd
omN
orth
ern
E34
·139
·8U
nite
dK
ingd
omN
orth
ern
E34
·139
·6U
nite
dK
ingd
omN
orth
ern
E35
·036
·131
·441
·643
·043
·736
·541
·040
·4U
nite
dK
ingd
omN
orth
ern
E35
·336
·532
·842
·145
·846
·438
·544
·842
·5U
nite
dK
ingd
omN
orth
ern
E33
·934
·231
·340
·043
·845
·337
·343
·841
·4
99
Ap
pen
dix
(Con
tin
ued
)
Pop
ulat
ion
desi
gnat
ion
(as
inT
able
5)E
EL
(E)
orph
otov
olt
(P)
420
nm42
5nm
450
nm46
5nm
485
nm51
5nm
525
nm54
5nm
550
nm
Uni
ted
Kin
gdom
Nor
ther
nE
34·7
35·6
32·1
41·1
44·6
45·5
37·8
43·9
41·8
Uni
ted
Kin
gdom
Nor
ther
nE
33·2
33·0
30·4
38·9
42·7
44·0
36·2
42·1
40·4
Uni
ted
Kin
gdom
Wal
esE
36·8
41·8
Uni
ted
Kin
gdom
Wal
esE
36·6
41·9
Uni
ted
Kin
gdom
Wal
esE
33·2
38·7
Uni
ted
Kin
gdom
Wal
esE
32·8
38·7
Uni
ted
Kin
gdom
Wal
esE
35·6
40·9
Uni
ted
Kin
gdom
Wal
esE
34·2
16·4
40·8
Uni
ted
Kin
gdom
Wal
esE
34·1
40·5
Uni
ted
Kin
gdom
Wal
esE
33·7
39·6
Vie
tnam
EV
ietn
amE
Zai
reE
Zai
reE
9·0
7·4
6·6
8·6
9·0
9·7
8·9
10·4
12·3
Zai
reE
10·5
9·0
7·6
10·7
11·5
12·5
10·6
12·8
14·8
Zai
reK
onda
E2·
3Z
aire
Kon
daE
100 . . .
Ap
pen
dix
Pop
ulat
ion
desi
gnat
ion
(as
inT
able
5)57
5nm
595
nm60
0nm
655
nm67
0nm
685
nmO
rigi
nal
refe
renc
eS
ourc
eof
data
Afg
hani
stan
/Ira
n55
·7(S
unde
rlan
d,19
79)
Ori
gina
lA
lger
iaA
ures
57·4
(Cha
mla
&D
emou
lin,
1978
)(R
obin
s,19
91)
Alg
eria
Aur
es58
·7(C
ham
la&
Dem
oulin
,19
78)
(Rob
ins,
1991
)A
ustr
alia
Dar
win
12·9
19·3
(Wal
sh,
1963
);re
des
tim
ated
Ori
gina
lB
elgi
um60
·1F
OS
73fr
omO
SU
-Bea
lss
data
base
OS
U-B
eals
sda
taba
seB
elgi
um48
·959
·545
·665
·766
·567
·3(L
egue
be,
1961
)(R
obin
s,19
91)
Bel
gium
48·8
58·5
45·1
64·3
65·4
65·9
(Leg
uebe
,19
61)
(Rob
ins,
1991
)B
elgi
um47
·557
·445
·062
·965
·164
·5(V
anR
ijn-T
ourn
el,
1966
)(R
obin
s,19
91)
Bel
gium
47·2
57·3
44·5
62·6
64·2
63·7
(Van
Rijn
-Tou
rnel
,19
66)
(Rob
ins,
1991
)B
otsw
ana
San
21·1
28·4
20·5
39·4
32·0
42·5
(Tob
ias,
1963
)(R
obin
s,19
91)
Bot
swan
aS
an22
·530
·221
·340
·833
·043
·6(T
obia
s,19
63)
(Rob
ins,
1991
)B
otsw
ana
San
40·5
(Wei
ner
etal
.,19
64)
(Rob
ins,
1991
)B
otsw
ana
San
43·1
(Wei
ner
etal
.,19
64)
(Rob
ins,
1991
)B
otsw
ana
San
43·0
(Wei
ner
etal
.,19
64)
(Rob
ins,
1991
)B
otsw
ana
San
43·6
(Wei
ner
etal
.,19
64)
(Rob
ins,
1991
)B
otsw
ana
San
43·0
(Wei
ner
etal
.,19
64)
(Rob
ins,
1991
)B
otsw
ana
San
44·6
(Wei
ner
etal
.,19
64)
(Rob
ins,
1991
)B
razi
lCai
ngan
48·1
(Har
riso
n&
Sal
zano
,19
66)
(Rob
ins,
1991
)B
razi
lCai
ngan
50·7
(Har
riso
n&
Sal
zano
,19
66)
(Rob
ins,
1991
)B
razi
lGua
rani
46·5
(Har
riso
n&
Sal
zano
,19
66)
(Rob
ins,
1991
)B
razi
lGua
rani
47·9
(Har
riso
n&
Sal
zano
,19
66)
(Rob
ins,
1991
)B
urki
naF
aso
Kur
umba
13·0
17·1
12·2
27·1
21·7
27·9
(Hui
zing
a,19
68)
(Rob
ins,
1991
)B
urki
naF
aso
Kur
umba
13·5
17·4
12·5
28·0
22·4
29·3
(Hui
zing
a,19
68)
(Rob
ins,
1991
)C
ambo
dia
50·2
54·0
(Car
bonn
el&
Oliv
er,
1966
);re
des
tim
ated
(Har
riso
n,19
73)
Cam
eroo
nF
ali
8·5
11·3
8·3
16·1
15·9
20·0
(Rit
gers
-Ari
s,19
73b)
(Rob
ins,
1991
)C
amer
oon
Fal
i8·
812
·08·
216
·916
·320
·9(R
itge
rs-A
ris,
1973
b)(R
obin
s,19
91)
Cam
eroo
nF
ali
8·9
11·9
8·3
16·8
16·5
21·1
(Rit
gers
-Ari
s,19
73b)
(Rob
ins,
1991
)C
amer
oon
Fal
i9·
312
·69·
018
·618
·425
·5(R
itge
rs-A
ris,
1973
b)(R
obin
s,19
91)
Cha
dS
ara
23·2
(Hie
rnau
x,19
72)
(Rob
ins,
1991
)C
had
Sar
a26
·0(H
iern
aux,
1972
)(R
obin
s,19
91)
Chi
naS
outh
ern
56·6
59·9
(Car
bonn
el&
Oliv
er,
1966
);re
des
tim
ated
(Har
riso
n,19
73)
Chi
naS
outh
ern
54·3
57·7
(Wal
sh,
1963
);re
des
tim
ated
Ori
gina
lC
hina
Tib
et54
·5(K
alla
&T
irw
ari,
1970
)(R
obin
s,19
91)
Chi
naT
ibet
54·9
(Kal
la&
Tir
war
i,19
70)
(Rob
ins,
1991
)C
olom
bia
24·6
(Dia
zU
ngri
a,19
65)
(Har
riso
n,19
73)
101
App
end
ix(C
onti
nu
ed)
Pop
ulat
ion
desi
gnat
ion
(as
inT
able
5)57
5nm
595
nm60
0nm
655
nm67
0nm
685
nmO
rigi
nal
refe
renc
eS
ourc
eof
data
Eth
iopi
a30
·2(H
arri
son
etal
.,19
69)
(Rob
ins,
1991
)E
thio
pia
33·2
(Har
riso
net
al.,
1969
)(R
obin
s,19
91)
Eth
iopi
aH
ighl
and
31·4
(Har
riso
net
al.,
1969
)(R
obin
s,19
91)
Eth
iopi
aH
ighl
and
35·7
(Har
riso
net
al.,
1969
)(R
obin
s,19
91)
Ger
man
yM
ainz
50·1
60·6
46·3
66·7
66·9
66·9
(Ojik
utu,
1965
)(R
obin
s,19
91)
Gre
enla
ndS
outh
ern
55·7
(Duc
ros
etal
.,19
75)
(Rob
ins,
1991
)In
dia
44·6
OS
U-B
eals
sda
taba
seO
SU
-Bea
lss
data
base
Indi
aB
enga
l24
·129
·922
·141
·534
·244
·8(B
uchi
,19
57)
(Rob
ins,
1991
)In
dia
Ben
gal
27·4
35·6
28·1
45·3
43·7
48·6
(Buc
hi,
1957
)(R
obin
s,19
91)
Indi
aB
enga
l28
·536
·329
·347
·545
·149
·9(B
uchi
,19
57)
(Rob
ins,
1991
)In
dia
Ben
gal
30·2
37·9
30·0
47·2
45·9
50·7
(Buc
hi,
1957
)(R
obin
s,19
91)
Indi
aB
enga
l29
·136
·929
·547
·745
·249
·7(D
as&
Muk
herj
ee,
1963
)(R
obin
s,19
91)
Indi
aG
oa42
·046
·4(W
alsh
,19
63);
red
esti
mat
edO
rigi
nal
Indi
aN
agpu
r21
·628
·419
·637
·631
·341
·3(D
as&
Muk
herj
ee,
1963
)(R
obin
s,19
91)
Indi
aN
orth
ern
48·6
(Jas
wal
,19
79)
(Rob
ins,
1991
)In
dia
Nor
ther
n50
·6(J
asw
al,
1979
)(R
obin
s,19
91)
Indi
aN
orth
ern
51·5
(Jas
wal
,19
79)
(Rob
ins,
1991
)In
dia
Nor
ther
n52
·7(J
asw
al,
1979
)(R
obin
s,19
91)
Indi
aN
orth
ern
52·8
(Jas
wal
,19
79)
(Rob
ins,
1991
)In
dia
Nor
ther
n55
·8(K
alla
,19
69)
(Rob
ins,
1991
)In
dia
Nor
ther
n56
·1(K
alla
,19
69)
(Rob
ins,
1991
)In
dia
Nor
ther
n56
·4(K
alla
,19
69)
(Rob
ins,
1991
)In
dia
Nor
ther
n24
·832
·825
·741
·540
·845
·8(K
alla
,19
72)
(Rob
ins,
1991
)In
dia
Nor
ther
n29
·037
·629
·346
·545
·250
·4(K
alla
,19
72)
(Rob
ins,
1991
)In
dia
Nor
ther
n26
·034
·427
·043
·742
·648
·0(K
alla
,19
72)
(Rob
ins,
1991
)In
dia
Nor
ther
n49
·5(K
alla
,19
73)
(Rob
ins,
1991
)In
dia
Nor
ther
n50
·0(K
alla
,19
73)
(Rob
ins,
1991
)In
dia
Nor
ther
n31
·540
·531
·449
·447
·652
·5(T
iwar
i,19
63)
(Rob
ins,
1991
)In
dia
Ori
ssa
14·6
20·0
14·3
28·8
24·3
31·8
(Das
&M
ukhe
rjee
,19
63)
(Rob
ins,
1991
)In
dia
Ori
ssa
15·2
20·7
14·6
29·7
24·8
32·3
(Das
&M
ukhe
rjee
,19
63)
(Rob
ins,
1991
)In
dia
Pun
jab
31·2
40·5
31·5
49·7
48·0
53·6
(Ban
erje
e,19
84)
Ori
gina
lIn
dia
Pun
jab
31·8
41·4
32·2
50·8
48·8
54·5
(Ban
erje
e,19
84)
Ori
gina
lIn
dia
Pun
jab
30·9
40·6
31·6
50·0
48·3
54·3
(Ban
erje
e,19
84)
Ori
gina
lIn
dia
Pun
jab
32·3
41·8
32·5
51·0
49·2
54·9
(Ban
erje
e,19
84)
Ori
gina
lIn
dia
Pun
jab
36·5
45·3
34·6
52·0
51·1
55·6
(Kah
lon,
1973
)(R
obin
s,19
91)
Indi
aP
unja
b34
·843
·533
·450
·649
·854
·5(K
ahlo
n,19
73)
(Rob
ins,
1991
)
102 . . .
Ap
pen
dix
(Con
tin
ued
)
Pop
ulat
ion
desi
gnat
ion
(as
inT
able
5)57
5nm
595
nm60
0nm
655
nm67
0nm
685
nmO
rigi
nal
refe
renc
eS
ourc
eof
data
Indi
aP
unja
b34
·643
·133
·250
·449
·554
·1(K
ahlo
n,19
73)
(Rob
ins,
1991
)In
dia
Pun
jab
32·6
41·0
31·6
48·4
47·7
52·4
(Kah
lon,
1973
)(R
obin
s,19
91)
Indi
aP
unja
b56
·1(K
alla
,19
69)
(Rob
ins,
1991
)In
dia
Pun
jab
54·0
RO
B72
from
OS
U-B
eals
sda
taba
seO
SU
-Bea
lss
data
base
Indi
aR
ajas
than
52·0
(Jas
wal
,19
79)
(Rob
ins,
1991
)In
dia
Sou
ther
n42
·446
·7(W
alsh
,19
63);
red
esti
mat
edO
rigi
nal
Iran
Now
shah
r31
·239
·730
·246
·545
·850
·0(M
ehra
i&
Sun
derl
and,
1990
)(R
obin
s,19
91)
Iran
Now
shah
r41
·950
·938
·656
·655
·759
·7(M
ehra
i&
Sun
derl
and,
1990
)(R
obin
s,19
91)
Iraq
Syr
iaK
urds
46·7
57·7
44·2
62·3
63·6
64·0
(Ojik
utu,
1965
)(R
obin
s,19
91)
Iraq
Syr
iaK
urds
57·4
(Sun
derl
and,
1979
)O
rigi
nal
Iraq
Syr
iaK
urds
60·2
(Sun
derl
and,
1979
)O
rigi
nal
Irel
and
Bal
inlo
ugh
65·3
(Sun
derl
and
etal
.,19
73)
(Rob
ins,
1991
)Ir
elan
dB
alin
loug
h65
·1(S
unde
rlan
det
al.,
1973
)(R
obin
s,19
91)
Irel
and
Car
new
64·6
(Sun
derl
and
etal
.,19
73)
(Rob
ins,
1991
)Ir
elan
dC
arne
w64
·4(S
unde
rlan
det
al.,
1973
)(R
obin
s,19
91)
Irel
and
Lon
gfor
d46
·258
·243
·763
·164
·764
·9(L
ees
etal
.,19
79)
Ori
gina
lIr
elan
dL
ongf
ord
64·9
(Lee
set
al.,
1979
)O
rigi
nal
Irel
and
Lon
gfor
d65
·2(L
ees
etal
.,19
79)
Ori
gina
lIr
elan
dR
ossm
ore
64·8
(Sun
derl
and
etal
.,19
73)
(Rob
ins,
1991
)Ir
elan
dR
ossm
ore
64·7
(Sun
derl
and
etal
.,19
73)
(Rob
ins,
1991
)Is
rael
57·6
(Sun
derl
and,
1979
)O
rigi
nal
Isra
el58
·8(S
unde
rlan
d,19
79)
Ori
gina
lJa
pan
Cen
tral
33·0
42·8
32·4
50·5
48·7
53·3
(Hul
se,
1967
)(R
obin
s,19
91)
Japa
nC
entr
al37
·146
·435
·153
·251
·755
·7(H
ulse
,19
67)
(Rob
ins,
1991
)Ja
pan
Cen
tral
54·6
(Har
vey
&L
ord,
1978
;H
ulse
,19
67)
Ori
gina
lJa
pan
Cen
tral
54·3
57·8
(Wal
sh,
1963
);re
des
tim
ated
Ori
gina
lJa
pan
Hid
aka
35·6
46·0
35·0
54·3
52·1
57·4
(Har
vey
&L
ord,
1978
)O
rigi
nal
Japa
nH
idak
a41
·051
·136
·158
·259
·460
·8(H
arve
y&
Lor
d,19
78)
Ori
gina
lJa
pan
Nor
ther
n34
·044
·133
·251
·449
·554
·1(H
ulse
,19
67)
(Rob
ins,
1991
)Ja
pan
Nor
ther
n37
·946
·835
·553
·552
·055
·7(H
ulse
,19
67)
(Rob
ins,
1991
)Ja
pan
Sou
thw
est
31·7
41·6
31·2
49·0
47·2
51·6
(Hul
se,
1967
)(R
obin
s,19
91)
Japa
nS
outh
wes
t37
·947
·035
·553
·451
·955
·5(H
ulse
,19
67)
(Rob
ins,
1991
)Jo
rdan
52·7
(Sun
derl
and
&C
oope
,19
73)
Ori
gina
lJo
rdan
52·2
(Sun
derl
and
&C
oope
,19
73)
Ori
gina
lJo
rdan
54·1
(Sun
derl
and,
1979
)O
rigi
nal
103
App
end
ix(C
onti
nu
ed)
Pop
ulat
ion
desi
gnat
ion
(as
inT
able
5)57
5nm
595
nm60
0nm
655
nm67
0nm
685
nmO
rigi
nal
refe
renc
eS
ourc
eof
data
Jord
anA
zzar
qa48
·0(S
unde
rlan
d&
Coo
pe,
1973
)O
rigi
nal
Jord
anA
zzar
qa51
·5(S
unde
rlan
d&
Coo
pe,
1973
)O
rigi
nal
Ken
ya32
·4(S
unde
rlan
d,19
79)
Ori
gina
lK
urdi
shJe
ws
54·9
(Lou
rie,
1973
)O
rigi
nal
Kur
dish
Jew
s60
·0(L
ouri
e,19
73)
Ori
gina
lL
eban
on58
·0(S
unde
rlan
d,19
79)
Ori
gina
lL
eban
on58
·4(S
unde
rlan
d,19
79)
Ori
gina
lL
iber
ia15
·621
·212
·525
·422
·329
·4(O
jikut
u,19
65)
(Rob
ins,
1991
)L
ibya
Cyr
enai
ca53
·0(S
unde
rlan
d,19
79)
Ori
gina
lL
ibya
Cyr
enai
ca54
·0(S
unde
rlan
d,19
79)
Ori
gina
lL
ibya
Fez
zan
44·0
(Sun
derl
and,
1979
)O
rigi
nal
Lib
yaT
ripo
li53
·6(S
unde
rlan
d,19
79)
Ori
gina
lL
ibya
Tri
poli
55·2
(Sun
derl
and,
1979
)O
rigi
nal
Mal
awi
27·0
(Tob
ias,
1974
)(R
obin
s,19
91)
Mal
iD
ogon
13·7
18·2
19·4
32·4
27·8
33·7
(Hui
zing
a,19
68)
(Rob
ins,
1991
)M
ali
Dog
on14
·018
·519
·933
·528
·434
·5(H
uizi
nga,
1968
)(R
obin
s,19
91)
Mor
occo
56·4
FO
S73
from
OS
U-B
eals
sda
taba
seO
SU
-Bea
lss
data
base
Mor
occo
53·3
(Sun
derl
and,
1979
)O
rigi
nal
Moz
ambi
que
Cho
pi17
·8(W
enin
ger,
1969
)(R
obin
s,19
91)
Moz
ambi
que
Cho
pi21
·1(W
enin
ger,
1969
)(R
obin
s,19
91)
Nam
ibia
26·6
(Wei
ner
etal
.,19
64)
OS
U-B
eals
sda
taba
seN
amib
ia24
·5(W
eine
ret
al.,
1964
)O
SU
-Bea
lss
data
base
Nam
ibia
Oka
vang
o21
·6(W
eine
ret
al.,
1964
)(R
obin
s,19
91)
Nam
ibia
Oka
vang
o22
·1(W
eine
ret
al.,
1964
)(R
obin
s,19
91)
Nam
ibia
Oka
vang
o24
·2(W
eine
ret
al.,
1964
)(R
obin
s,19
91)
Nam
ibia
Oka
vang
o25
·6(W
eine
ret
al.,
1964
)(R
obin
s,19
91)
Nam
ibia
Oka
vang
o22
·2(W
eine
ret
al.,
1964
)(R
obin
s,19
91)
Nam
ibia
Oka
vang
o22
·6(W
eine
ret
al.,
1964
)(R
obin
s,19
91)
Nam
ibia
Oka
vang
o22
·4(W
eine
ret
al.,
1964
)(R
obin
s,19
91)
Nam
ibia
Oka
vang
o25
·5(W
eine
ret
al.,
1964
)(R
obin
s,19
91)
Nam
ibia
Reh
obot
hB
aste
r28
·2(W
eine
ret
al.,
1964
)(R
obin
s,19
91)
Nam
ibia
Reh
obot
hB
aste
r29
·4(W
eine
ret
al.,
1964
)(R
obin
s,19
91)
Nam
ibia
Reh
obot
hB
aste
r28
·0(W
eine
ret
al.,
1964
)(R
obin
s,19
91)
Nam
ibia
Reh
obot
hB
aste
r32
·4(W
eine
ret
al.,
1964
)(R
obin
s,19
91)
Nam
ibia
Reh
obot
hB
aste
r47
·9(W
eine
ret
al.,
1964
)(R
obin
s,19
91)
Nam
ibia
Reh
obot
hB
aste
r51
·9(W
eine
ret
al.,
1964
)(R
obin
s,19
91)
104 . . .
Ap
pen
dix
(Con
tin
ued
)
Pop
ulat
ion
desi
gnat
ion
(as
inT
able
5)57
5nm
595
nm60
0nm
655
nm67
0nm
685
nmO
rigi
nal
refe
renc
eS
ourc
eof
data
Nep
alE
aste
rn48
·9(W
illia
ms-
Bla
nger
o&
Bla
nger
o,19
91)
Ori
gina
lN
epal
Eas
tern
51·5
(Will
iam
s-B
lang
ero
&B
lang
ero,
1991
)O
rigi
nal
Nep
alE
aste
rn53
·6(W
illia
ms-
Bla
nger
o&
Bla
nger
o,19
91)
Ori
gina
lN
epal
Eas
tern
48·7
(Will
iam
s-B
lang
ero
&B
lang
ero,
1991
)O
rigi
nal
Nep
alE
aste
rn52
·1(W
illia
ms-
Bla
nger
o&
Bla
nger
o,19
91)
Ori
gina
lN
epal
Eas
tern
50·0
(Will
iam
s-B
lang
ero
&B
lang
ero,
1991
)O
rigi
nal
Nep
alE
aste
rn50
·1(W
illia
ms-
Bla
nger
o&
Bla
nger
o,19
91)
Ori
gina
lN
epal
Eas
tern
49·5
(Will
iam
s-B
lang
ero
&B
lang
ero,
1991
)O
rigi
nal
Nep
alE
aste
rn55
·7(W
illia
ms-
Bla
nger
o&
Bla
nger
o,19
91)
Ori
gina
lN
ethe
rlan
ds66
·5H
RM
64fr
omO
SU
-Bea
lss
data
base
OS
U-B
eals
sda
taba
seN
ethe
rlan
ds49
·060
·946
·167
·567
·968
·9(R
itge
r-A
ris,
1973
)(R
obin
s,19
91)
Net
herl
ands
47·4
58·7
44·8
65·3
66·0
66·7
(Rit
ger-
Ari
s,19
73)
(Rob
ins,
1991
)N
iger
iaIb
o12
·617
·012
·424
·621
·728
·2(B
arni
cot,
1958
)(R
obin
s,19
91)
Nig
eria
Yor
uba
10·9
14·3
10·4
20·6
18·8
23·6
(Bar
nico
t,19
58)
(Rob
ins,
1991
)N
iger
iaY
orub
a12
·216
·211
·823
·120
·626
·1(B
arni
cot,
1958
)(R
obin
s,19
91)
Nig
eria
Yor
uba
16·9
22·5
14·4
28·3
24·7
32·5
(Ojik
utu,
1965
)(R
obin
s,19
91)
Pak
ista
n52
·0(S
unde
rlan
d,19
79)
Ori
gina
lP
akis
tan
51·3
(Sun
derl
and,
1979
)O
rigi
nal
Pak
ista
n49
·853
·6(W
alsh
,19
63);
red
esti
mat
edO
rigi
nal
Pap
uaK
arke
r33
·2(H
arve
y&
Lor
d,19
78)
(Rob
ins,
1991
)P
apua
Luf
a30
·8(H
arve
y&
Lor
d,19
78)
(Rob
ins,
1991
)P
apua
Luf
a31
·6(H
arve
y&
Lor
d,19
78)
(Rob
ins,
1991
)P
apua
Mt
Hag
an29
·521
·934
·8(W
alsh
,19
63);
red
esti
mat
edO
rigi
nal
Pap
uaM
tH
agan
30·7
22·5
35·9
(Wal
sh,
1963
);re
des
tim
ated
Ori
gina
lP
apua
New
Gui
nea
35·3
HA
R71
from
OS
U-B
eals
sda
taba
seO
SU
-Bea
lss
data
base
Pap
uaP
ort
Mor
esby
36·2
25·3
41·0
(Wal
sh,
1963
);re
des
tim
ated
Ori
gina
lP
eru
Mar
anon
42·8
(Wei
ner
etal
.,19
63)
(Rob
ins,
1991
)P
eru
Mar
anon
43·3
(Wei
ner
etal
.,19
63)
(Rob
ins,
1991
)P
eru
Nun
oa47
·7C
ON
72fr
omO
SU
-Bea
lss
data
base
OS
U-B
eals
sda
taba
seP
hilip
pine
sM
anila
50·3
54·1
(Wal
sh,
1963
);re
des
tim
ated
Ori
gina
lR
ussi
aC
hech
en51
·9(S
unde
rlan
d&
Coo
pe,
1973
)O
rigi
nal
Rus
sia
Che
chen
55·0
(Sun
derl
and
&C
oope
,19
73)
Ori
gina
lS
audi
Ara
bia
52·5
(Sun
derl
and,
1979
)O
rigi
nal
Sou
thA
fric
a20
·727
·819
·339
·030
·841
·7(R
obin
s,19
91)
(Rob
ins,
1991
)S
outh
Afr
ica
23·4
31·2
21·1
41·5
33·1
44·3
(Rob
ins,
1991
)(R
obin
s,19
91)
Sou
thA
fric
a16
·422
·515
·430
·125
·232
·1(W
aser
man
n&
Hey
l,19
68)
(Rob
ins,
1991
)S
outh
Afr
ica
19·7
26·5
18·1
35·0
29·4
38·9
(Was
erm
ann
&H
eyl,
1968
)(R
obin
s,19
91)
105
App
end
ix(C
onti
nu
ed)
Pop
ulat
ion
desi
gnat
ion
(as
inT
able
5)57
5nm
595
nm60
0nm
655
nm67
0nm
685
nmO
rigi
nal
refe
renc
eS
ourc
eof
data
Sou
thA
fric
aC
ape
26·8
36·1
27·9
45·2
43·7
49·2
(Was
erm
ann
&H
eyl,
1968
)(R
obin
s,19
91)
Sou
thA
fric
aC
ape
31·0
40·3
30·9
48·6
47·1
52·1
(Was
erm
ann
&H
eyl,
1968
)(R
obin
s,19
91)
Sou
thA
fric
aC
ape
50·1
(Wei
ner
etal
.,19
64)
(Rob
ins,
1991
)S
outh
Afr
ica
Cap
e51
·3(W
eine
ret
al.,
1964
)(R
obin
s,19
91)
Sou
thA
fric
aH
otte
ntot
45·5
(Wei
ner
etal
.,19
64)
(Rob
ins,
1991
)S
outh
Afr
ica
Hot
tent
ot48
·1(W
eine
ret
al.,
1964
)(R
obin
s,19
91)
Sou
thA
fric
aS
anC
entr
al41
·9(W
eine
ret
al.,
1964
)(R
obin
s,19
91)
Sou
thA
fric
aS
anC
entr
al45
·6(W
eine
ret
al.,
1964
)(R
obin
s,19
91)
Spa
inB
asqu
es45
·656
·042
·364
·564
·266
·4(R
ebat
o,19
87)
(Rob
ins,
1991
)S
pain
Bas
ques
44·1
55·0
41·7
63·4
63·8
65·5
(Reb
ato,
1987
)(R
obin
s,19
91)
Spa
inB
asqu
es44
·955
·241
·863
·963
·665
·8(R
ebat
o,19
87)
(Rob
ins,
1991
)S
pain
Bas
ques
44·5
55·0
41·7
63·3
63·7
65·3
(Reb
ato,
1987
)(R
obin
s,19
91)
Spa
inB
asqu
es42
·952
·641
·661
·161
·662
·3(R
ebat
o,19
87)
Ori
gina
lS
pain
Leo
n62
·866
·1(C
aro,
1980
)(R
obin
s,19
91)
Spa
inL
eon
61·0
64·6
(Car
o,19
80)
(Rob
ins,
1991
)S
pain
Leo
n60
·664
·3(C
aro,
1980
)(R
obin
s,19
91)
Spa
inL
eon
60·4
64·0
(Car
o,19
80)
(Rob
ins,
1991
)S
pain
Leo
n59
·562
·7(C
aro,
1980
)(R
obin
s,19
91)
Sud
an35
·5(S
unde
rlan
d,19
79)
Ori
gina
lS
waz
iland
14·5
18·4
14·3
27·6
24·3
32·4
(Rob
erts
etal
.,19
86)
(Rob
ins,
1991
)S
waz
iland
18·1
22·7
17·3
32·8
28·8
38·8
(Rob
erts
etal
.,19
86)
(Rob
ins,
1991
)S
yria
Dru
ze52
·8(S
unde
rlan
d&
Coo
pe,
1973
)O
rigi
nal
Tan
zani
aN
yatu
ra25
·3W
eine
r,19
69ci
ted
in(R
itge
rs-A
ris,
1973
b)(R
obin
s,19
91)
Tan
zani
aN
yatu
ra26
·3W
eine
r,19
69ci
ted
in(R
itge
rs-A
ris,
1973
b)(R
obin
s,19
91)
Tan
zani
aS
ande
we
28·1
Wei
ner,
1969
cite
din
(Rit
gers
-Ari
s,19
73b)
(Rob
ins,
1991
)T
anza
nia
San
dew
e29
·7W
eine
r,19
69ci
ted
in(R
itge
rs-A
ris,
1973
b)(R
obin
s,19
91)
Tun
isia
56·3
FO
S73
from
Ore
gon
data
OS
U-B
eals
sda
taba
seT
urke
y59
·3(S
unde
rlan
d,19
79)
Ori
gina
lT
urke
y59
·0(S
unde
rlan
d,19
79)
Ori
gina
lU
nite
dK
ingd
omC
umbe
rlan
d67
·0(S
mit
h&
Mit
chel
l,19
73)
(Rob
ins,
1991
)U
nite
dK
ingd
omC
umbe
rlan
d66
·5(S
mit
h&
Mit
chel
l,19
73)
(Rob
ins,
1991
)U
nite
dK
ingd
omL
ondo
n43
·954
·342
·661
·563
·363
·1(B
arni
cot,
1958
)(R
obin
s,19
91)
Uni
ted
Kin
gdom
Lon
don
41·4
52·4
40·9
59·9
62·0
61·5
(Bar
nico
t,19
58)
(Rob
ins,
1991
)U
nite
dK
ingd
omN
orth
ern
63·4
(Car
twri
ght,
1975
)(R
obin
s,19
91)
Uni
ted
Kin
gdom
Nor
ther
n62
·3(C
artw
righ
t,19
75)
(Rob
ins,
1991
)U
nite
dK
ingd
omN
orth
ern
45·2
54·8
43·1
61·7
63·2
62·3
(Har
riso
n&
Ow
en,
1964
)(R
obin
s,19
91)
106 . . .
Ap
pen
dix
(Con
tin
ued
)
Pop
ulat
ion
desi
gnat
ion
(as
inT
able
5)57
5nm
595
nm60
0nm
655
nm67
0nm
685
nmO
rigi
nal
refe
renc
eS
ourc
eof
data
Uni
ted
Kin
gdom
Nor
ther
n50
·059
·645
·766
·766
·968
·9(H
ulse
,19
73)
(Rob
ins,
1991
)U
nite
dK
ingd
omN
orth
ern
48·9
58·7
44·8
66·2
66·0
68·6
(Hul
se,
1973
)(R
obin
s,19
91)
Uni
ted
Kin
gdom
Nor
ther
n48
·959
·145
·065
·966
·168
·3(H
ulse
,19
73)
(Rob
ins,
1991
)U
nite
dK
ingd
omN
orth
ern
47·4
56·8
43·7
64·4
64·8
66·8
(Hul
se,
1973
)(R
obin
s,19
91)
Uni
ted
Kin
gdom
Wal
es67
·0(S
mit
h&
Mit
chel
l,19
73)
(Rob
ins,
1991
)U
nite
dK
ingd
omW
ales
65·9
(Sm
ith
&M
itch
ell,
1973
)(R
obin
s,19
91)
Uni
ted
Kin
gdom
Wal
es63
·5(S
mit
h&
Mit
chel
l,19
73)
(Rob
ins,
1991
)U
nite
dK
ingd
omW
ales
62·8
(Sm
ith
&M
itch
ell,
1973
)(R
obin
s,19
91)
Uni
ted
Kin
gdom
Wal
es63
·1(S
unde
rlan
d&
Woo
lley,
1982
)(R
obin
s,19
91)
Uni
ted
Kin
gdom
Wal
es62
·9(S
unde
rlan
d&
Woo
lley,
1982
)(R
obin
s,19
91)
Uni
ted
Kin
gdom
Wal
es62
·7(S
unde
rlan
d&
Woo
lley,
1982
)(R
obin
s,19
91)
Uni
ted
Kin
gdom
Wal
es62
·4(S
unde
rlan
d&
Woo
lley,
1982
)(R
obin
s,19
91)
Vie
tnam
51·3
55·0
(Car
bonn
el&
Oliv
ier,
1966
);re
des
tim
ated
(Har
riso
n,19
73)
Vie
tnam
56·8
FO
S73
from
OS
U-B
eals
sda
taba
seO
SU
-Bea
lss
data
base
Zai
re33
·9F
OS
73fr
omO
SU
-Bea
lss
data
base
OS
U-B
eals
sda
taba
seZ
aire
13·3
18·2
13·3
25·6
23·0
29·6
(Van
Rijn
-Tou
rnel
,19
66)
(Rob
ins,
1991
)Z
aire
15·4
21·7
16·0
30·1
26·6
36·1
(Van
Rijn
-Tou
rnel
,19
66)
(Rob
ins,
1991
)Z
aire
Kon
da28
·8(H
iern
aux,
1977
)O
rigi
nal
Zai
reK
onda
30·0
(Hie
rnau
x,19
77)
Ori
gina
l