activity of exoenzymes in treated wastewater irrigated soils · jüschke & marschner activity...
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Jüschke & Marschner
Activity of Exoenzymes in Treated Wastewater Irrigated Soils
Elisabeth JÜSCHKEMax-Planck-Institute for Biogeochemistry Jena, Germany
Bernd MARSCHNERInstitute of GeographySoil Science / Soil Ecology Bochum, Germany
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IntroductionIntroduction
Municipal37%
Agriculture56%
Industrial 7%
Israeli Ministry of Environmental Protection (2002)
Water use in Israel
Surfacewater and springs
23%
Treatedwastewater
(TWW) 21%
Groundwater56%
Water Commision (2000)
2010 already~ 50%
MinEnvir 2010
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IntroductionIntroduction
2002 2003 2004 2005 2006 2007 2008 2009 2010
Trea
ted
was
tew
ater
[MC
M]
0
100
200
300
400
500
600
modified after Tal (2006)MCM = million cubic meter
Established and projected treated wastewater (effluent) usein Israel
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IntroductionIntroduction
Treated wastewater is a source of organic carbon.
TWW – Treated WasteWaterFW - FreshWater
Water quality
* BOD 10 mg/L** COD 100 mg/L*
**
Upgraded Effluent QualityStandards (Jan 2010)
Parameter Unit TWW FW
EC dS/m 2.3 1.0
Cl mg/L 364 201
Na meq/L 21.4 4.3
Ca + Mg meq/L 6.1 4.1
pH 8.3 7.4
DOC mg/L 23.5 1.1
TOC mg/L 47.6 n.d.
BOD mg/L 59.9 n.d.
COD mg/L 234.0 n.d.
< 1
< 20
< 10
(Israel Ministry of Environment 2010)
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Materials and Materials and MethodsMethods
YagurMizra
Wadi Fara
HaMa´pil
Ramat HakoveshBazra
Arad
Acco
sampling sitesSoil Organic Carbon - profiles
Gaza
Sampling siteLand use FAO
classificationSand (%)
Clay (%)
SOC (%)
Ramat Hakovesh orchard Chromic Luvisol 89 6 0.9
HaMa´pil orchard Chromic Luvisol 82 11 1.8
Bazra orchard Chromic Luvisol 82 12 0.5
Acco orchard Vertisol 22 52 1.0
Wadi Fara field Vertisol 11 66 2.3
Gaza field Chromic Luvisol 86 7 0.1
Enzyme activity studies
Jüschke & Marschner
grapefruit orchard
avocado orchard
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ResultsResults
SOC [%]
0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5
Soil
dept
h [c
m]
-120
-100
-80
-60
-40
-20
0
FW soilTWW soil
Soil organic carbon content (SOC)
• first ~50 cm similar SOC-content
• less SOC in the subsoil (deeper ~50 cm)
Sampling site: Ramat Hakovesh
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modified after Kuzyakov et al. (2000)(a) acceleration of SOM decomposition – positive priming effect(b) retardation of SOM decomposition – negative priming effect
soil + substrate
12CO2from additional respiration
14CO2from substrate
12CO2from soilbasal respiration
(a)
12CO2from soilbasal respiration
14CO2from substrate
Suppressedbasal respiration
soil + substrate
(b)
soil
12CO2from soilbasal respiration
Min
eral
isat
ion
Materials and Materials and MethodsMethods
Theory of priming effects
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Incubation of soil samples with additions ofeasily available organic substrates
CO2 determination
MultiplexerKonduktometer
Computer
Respicond
0000,00 mS
1 96
soil sample
0.6 M KOH
14CO2
12CO2
addition of 14C-fructose or14C-alanine
conductometer
25°C
1 mL KOH for scintillation counting
Gosda, W. modified after Nordgren (1988)
Materials and Materials and MethodsMethods
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IntroductionIntroduction
Treated wastewater is a source of organic carbon.
Effect on soil microbial communities and activities
enzyme-substrate-complex
productssubstrate
enzyme
Hypothesis: increased release of exoenzymes into the soiland alteration in mobilisation of nutrients
? Effects along soil profiles
organic carbon = substrate for soil microorganisms
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Materials and Materials and MethodsMethods
Measurements with the help of fluorescence substrates(4-MUF = 4-Methylumbelliferon and AMC = 7-amino-4-methylcoumarin)
4-MUF-α-D-Glycoside
α-D-Glycosidase degradation of soluble sugars and starch
A range of hydrolytic enzymes, involved in C, N and P cycles, wereinvestigated using a fluorimetric microplate assay (after Marx et al. 2001).
Acid phosphatase
Leucinaminopeptidase
Tyrosinaminopeptidase
Argininaminopeptidase
N-acetyl-ß-glucosaminidase
ß –Cellobiohydrolase
ß- Glucosidase
α –Glucosidase ß- Xylosidaseß- Glucuronidase
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ResultsResults
(2) - only two of three sampling sites showed significant differences between control and treated sample, therefore only these values were calculated
Soil depth Cmic Cmic/Corg q CO2 acc. CO2 SOCmin SOCmin SOCmin PE PE[cm] alanine fructose alanine fructose
0-10 + + - ++ ++ - ++ - ++ - + - -
10-20 ++ + - +++ +++ + ++ - - - - - -
20-30 + + + + - ++ + - -
30-50 + - - +++ + - - - - - (2) - (2)
50-70 + - - + - + - + +
70-100 ++ - - - + - - + - - - - - (2) - (2)
Bazra, Acco and Wadi Farano difference between TWW and FW
- - - TWW < FW (three sampling sites)- - TWW < FW (two sampling sites)- TWW < FW (one sampling site)
+ - - TWW < FW (two sampling sites) and TWW > FW (one sampling site)+ - TWW < FW (one sampling site) and TWW > FW (one sampling site)
++ - TWW < FW (one sampling site) and TWW > FW (two sampling sites)+ TWW > FW (one sampling site)
++ TWW > FW (two sampling sites)+++ TWW > FW (three sampling sites)
(2) - only two of three sampling sites showed significant differences between control and treated sample, therefore only these values were calculated
Student t-Test p<0.05
Soil microbiological parameter along 3 irrigated soil profiles- Bazra, Acco and Wadi Fara -
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ResultsResults
(2) - only two of three sampling sites showed significant differences between control and treated sample, therefore only these values were calculated
Soil depth Cmic Cmic/Corg q CO2 acc. CO2 SOCmin SOCmin SOCmin PE PE[cm] alanine fructose alanine fructose
0-10 + + - ++ ++ - ++ - ++ - + - -
10-20 ++ + - +++ +++ + ++ - - - - - -
20-30 + + + + - ++ + - -
30-50 + - - +++ + - - - - - (2) - (2)
50-70 + - - + - + - + +
70-100 ++ - - - + - - + - - - - - (2) - (2)
Bazra, Acco and Wadi Farano difference between TWW and FW
- - - TWW < FW (three sampling sites)- - TWW < FW (two sampling sites)- TWW < FW (one sampling site)
+ - - TWW < FW (two sampling sites) and TWW > FW (one sampling site)+ - TWW < FW (one sampling site) and TWW > FW (one sampling site)
++ - TWW < FW (one sampling site) and TWW > FW (two sampling sites)+ TWW > FW (one sampling site)
++ TWW > FW (two sampling sites)+++ TWW > FW (three sampling sites)
(2) - only two of three sampling sites showed significant differences between control and treated sample, therefore only these values were calculated
Student t-Test p<0.05
Soil microbiological parameter along 3 irrigated soil profiles- Bazra, Acco and Wadi Fara -
Soil depth α-glu ß-Xyl N-acet ß-glucoro ß-cello ß-glu pho Leu Tyr Arg[cm]
0-10 + ++ + ++ ++ + - ++ +++ ++
10-20 + + + + + + ++ + +
20-30 + + ++ ++ ++ ++ + ++
30-50 + - + - + - + + ++ + + - ++
50-70 + - + - - + - + ++ - - + -
70-100 - - - - - - - - + -
α-glu = α-glucosidase; β-Xyl = β-Xylosidase; N-acet = N-acety-β-glucosamidase, pho = acid phosphatase; β-glucoro = β-glucorosidase; β-cello = β-cellobiohydrolase; β-glu = β-glucosidase; Leu = Leucin aminopepdidase; Tyr = Tyrosin aminopepdidase; Arg = Arigin aminopepdidaseMethod: Marx et al. 2001
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ResultsResults
(2) - only two of three sampling sites showed significant differences between control and treated sample, therefore only these values were calculated
Soil depth Cmic Cmic/Corg q CO2 acc. CO2 SOCmin SOCmin SOCmin PE PE[cm] alanine fructose alanine fructose
0-10 + + - ++ ++ - ++ - ++ - + - -
10-20 ++ + - +++ +++ + ++ - - - - - -
20-30 + + + + - ++ + - -
30-50 + - - +++ + - - - - - (2) - (2)
50-70 + - - + - + - + +
70-100 ++ - - - + - - + - - - - - (2) - (2)
Bazra, Acco and Wadi Farano difference between TWW and FW
- - - TWW < FW (three sampling sites)- - TWW < FW (two sampling sites)- TWW < FW (one sampling site)
+ - - TWW < FW (two sampling sites) and TWW > FW (one sampling site)+ - TWW < FW (one sampling site) and TWW > FW (one sampling site)
++ - TWW < FW (one sampling site) and TWW > FW (two sampling sites)+ TWW > FW (one sampling site)
++ TWW > FW (two sampling sites)+++ TWW > FW (three sampling sites)
(2) - only two of three sampling sites showed significant differences between control and treated sample, therefore only these values were calculated
Student t-Test p<0.05
Soil microbiological parameter along 3 irrigated soil profiles- Bazra, Acco and Wadi Fara -
Soil depth α-glu ß-Xyl N-acet ß-glucoro ß-cello ß-glu pho Leu Tyr Arg[cm]
0-10 + ++ + ++ ++ + - ++ +++ ++
10-20 + + + + + + ++ + +
20-30 + + ++ ++ ++ ++ + ++
30-50 + - + - + - + + ++ + + - ++
50-70 + - + - - + - + ++ - - + -
70-100 - - - - - - - - + -
α-glu = α-glucosidase; β-Xyl = β-Xylosidase; N-acet = N-acety-β-glucosamidase, pho = acid phosphatase; β-glucoro = β-glucorosidase; β-cello = β-cellobiohydrolase; β-glu = β-glucosidase; Leu = Leucin aminopepdidase; Tyr = Tyrosin aminopepdidase; Arg = Arigin aminopepdidaseMethod: Marx et al. 2001
Jüschke & Marschner
Changes in SOC- quality due to continuously priming in the field by addition of TWW
– long-term effect
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Basra 0-10 cm: Enzyme activities [nmol g-1 h-1]
0
100
200
300α-glu
ß-Xyl
chit
pho
ß-celloß-glu
Leu
Tyr
Arg
FWTWW
Basra 10-20 cm: Enzyme activities [nmol g-1 h-1]
0
20
40
60
80
100α-glu
ß-Xyl
chit
pho
ß-celloß-glu
Leu
Tyr
Arg
FWTWW
Basra 20-30 cm: Enzyme activities [nmol g-1 h-1]
0
20
40
60
80
100α-glu
ß-Xyl
chit
pho
ß-celloß-glu
Leu
Tyr
Arg
FWTWW
Basra 30-50 cm: Enzyme activities [nmol g-1 h-1]
0
20
40
60
80
100α-glu
ß-Xyl
chit
pho
ß-celloß-glu
Leu
Tyr
Arg
FWTWW
Basra 50-70 cm: Enzyme activities [nmol g-1 h-1]
0
5
10
15
20
25
30
35α-glu
ß-Xyl
chit
pho
ß-celloß-glu
Leu
Tyr
Arg
FWTWW
Basra 70-100 cm: Enzyme activities [nmol g-1 h-1]
0
2
4
6
8
10
12
14α-glu
ß-Xyl
chit
pho
ß-celloß-glu
Leu
Tyr
Arg
FWTWW
BAZRA – enzyme activities
max: 291.6 nmol g-1 h-1
max: 99.6 nmol g-1 h-1
max: 55.7 nmol g-1 h-1 max: 61.2 nmol g-1 h-1
max: 32.6 nmol g-1 h-1 max: 12.4 nmol g-1 h-1
0-10 cm 10-20 cm 20-30 cm
30-50 cm 50-70 cm 70-100 cm
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Basra 0-10 cm: Enzyme activities [nmol g-1 h-1]
0
100
200
300α-glu
ß-Xyl
chit
pho
ß-celloß-glu
Leu
Tyr
Arg
FWTWW
Basra 10-20 cm: Enzyme activities [nmol g-1 h-1]
0
20
40
60
80
100α-glu
ß-Xyl
chit
pho
ß-celloß-glu
Leu
Tyr
Arg
FWTWW
Basra 20-30 cm: Enzyme activities [nmol g-1 h-1]
0
20
40
60
80
100α-glu
ß-Xyl
chit
pho
ß-celloß-glu
Leu
Tyr
Arg
FWTWW
Basra 30-50 cm: Enzyme activities [nmol g-1 h-1]
0
20
40
60
80
100α-glu
ß-Xyl
chit
pho
ß-celloß-glu
Leu
Tyr
Arg
FWTWW
Basra 50-70 cm: Enzyme activities [nmol g-1 h-1]
0
5
10
15
20
25
30
35α-glu
ß-Xyl
chit
pho
ß-celloß-glu
Leu
Tyr
Arg
FWTWW
Basra 70-100 cm: Enzyme activities [nmol g-1 h-1]
0
2
4
6
8
10
12
14α-glu
ß-Xyl
chit
pho
ß-celloß-glu
Leu
Tyr
Arg
FWTWW
BAZRA – enzyme activities
max: 291.6 nmol g-1 h-1
max: 99.6 nmol g-1 h-1
max: 55.7 nmol g-1 h-1 max: 61.2 nmol g-1 h-1
max: 32.6 nmol g-1 h-1 max: 12.4 nmol g-1 h-1
0-10 cm 10-20 cm 20-30 cm
30-50 cm 50-70 cm 70-100 cm
Similar enzyme content pattern over the profile
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ResultsResults
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-90
-80
-70
-60
-50
-40
-30
-20
-10
00.00 0.50 1.00 1.50 2.00 2.50 3.00 3.50
ß-glucosidase activity [nmol h-1µg Cmic]
Soil
dept
h [c
m]
FWTWW
Bazra – soil enzyme profiles
clear differences between FW and TWW
activity increase with soil depth
-90
-80
-70
-60
-50
-40
-30
-20
-10
00.00 100.00 200.00 300.00 400.00
ß-glucosidase activity [nmol h-1g-1]
Soi
l dep
th [c
m]
FW
TWW
high correlation with microbial biomass carbon
β-glucosidasenmol h-1 g-1 dry soil nmol h-1 µg-1 Cmic
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ResultsResults & & DiscussionDiscussion
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-90
-80
-70
-60
-50
-40
-30
-20
-10
00.00 0.50 1.00 1.50 2.00 2.50
Phosphatase activity [nmol h-1µg Cmic]So
il de
pth
[cm
]
FWTWW
-90
-80
-70
-60
-50
-40
-30
-20
-10
00.00 0.20 0.40 0.60 0.80 1.00
N-acetyl activity [nmol h-1µg Cmic]
Soil
dept
h [c
m]
FWTWW
Bazra – soil enzyme profiles
-90
-80
-70
-60
-50
-40
-30
-20
-10
00.00 1.00 2.00 3.00 4.00
Leucin AP activity [nmol h-1µg Cmic]
Soil
dept
h [c
m]
FWTWW
phosphatase chitinase
leucin aminopeptidase
nmol h-1 µg-1 Cmic
similar pattern like β-glucosidase
activity increase with soil depth
maybe due to tree roots or shift in texture
Increased amounts of tree roots under TWW
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-90
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-70
-60
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-40
-30
-20
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00.00 0.20 0.40 0.60 0.80 1.00
C:NSo
il de
pth
[cm
]
FWTWW
-90
-80
-70
-60
-50
-40
-30
-20
-10
00.00 2.00 4.00 6.00 8.00 10.00
C:P
Soil
dept
h [c
m]
FWTWW
-90
-80
-70
-60
-50
-40
-30
-20
-10
00.00 10.00 20.00 30.00 40.00
N:P
Soil
dept
h [c
m]
FWTWW
-90
-80
-70
-60
-50
-40
-30
-20
-10
00.00 0.20 0.40 0.60 0.80 1.00 1.20
Cellu : C
Soil
dept
h [c
m]
FWTWW
C : P
N : P
Bazra – soil enzyme profilesC : N
Cell : C
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ResultsResults
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-90
-80
-70
-60
-50
-40
-30
-20
-10
00.00 0.20 0.40 0.60 0.80 1.00
C:NSo
il de
pth
[cm
]
FWTWW
-90
-80
-70
-60
-50
-40
-30
-20
-10
00.00 2.00 4.00 6.00 8.00 10.00
C:P
Soil
dept
h [c
m]
FWTWW
-90
-80
-70
-60
-50
-40
-30
-20
-10
00.00 10.00 20.00 30.00 40.00
N:P
Soil
dept
h [c
m]
FWTWW
-90
-80
-70
-60
-50
-40
-30
-20
-10
00.00 0.20 0.40 0.60 0.80 1.00 1.20
Cellu : C
Soil
dept
h [c
m]
FWTWW
C : P
N : P
Bazra – soil enzyme profiles
main rooting zone?
main rooting zone?
less phosphatase necessary!
less phosphatase necessary!
Shift?
C : N
Cellulase : C
less N-degrading enzymes necessary!
more N-degrading enzymes necessary!
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ResultsResults
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-90
-80
-70
-60
-50
-40
-30
-20
-10
00.00 0.20 0.40 0.60 0.80 1.00
C:NSo
il de
pth
[cm
]
FWTWW
-90
-80
-70
-60
-50
-40
-30
-20
-10
00.00 2.00 4.00 6.00 8.00 10.00
C:P
Soil
dept
h [c
m]
FWTWW
-90
-80
-70
-60
-50
-40
-30
-20
-10
00.00 10.00 20.00 30.00 40.00
N:P
Soil
dept
h [c
m]
FWTWW
-90
-80
-70
-60
-50
-40
-30
-20
-10
00.00 0.20 0.40 0.60 0.80 1.00 1.20
Cellu : C
Soil
dept
h [c
m]
FWTWW
C : P
N : P
Bazra – soil enzyme profilesC : N
Cell : C
clear differences between FW and TWW concerning phosphatase mainly pronounced in depth P input by TWW !
Ratio C : N hydrolysing enzyme activity increasedunder TWW irrigation until the first 50 cm
shift in deeper horizons more C results in N-limitation N enzymes needed
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Akko 0-10 cm [nmol g-1 h-1]
0
100
200
300
400
500α-glu
ß-Xyl
chit
pho
ß-celloß-glu
Leu
Tyr
Arg
FWTWW
Akko 10-20 cm [nmol g-1 h-1]
0
20
40
60
80
100α-glu
ß-Xyl
chit
pho
ß-celloß-glu
Leu
Tyr
Arg
FWTWW
Akko 70-100 cm [nmol g-1 h-1]
0
50
100
150
200α-glu
ß-Xyl
chit
pho
ß-celloß-glu
Leu
Tyr
Arg
FWTWW
Akko 50-70 cm [nmol g-1 h-1]
0
50
100
150
200α-glu
ß-Xyl
chit
pho
ß-celloß-glu
Leu
Tyr
Arg
FWTWW
Akko 30-50 cm [nmol-1 h-1]
0
50
100
150
200
250
300α-glu
ß-Xyl
chit
pho
ß-celloß-glu
Leu
Tyr
Arg
FWTWW
Akko 20-30 cm [nmol g-1 h-1]
0
50
100
150
200
250
300
350α-glu
ß-Xyl
chit
pho
ß-celloß-glu
Leu
Tyr
Arg
FWTWW
Acco – enzyme activities
max: 431.4 nmol g-1 h-1
max: 271.3 nmol g-1 h-1
max:76.7 nmol g-1 h-1 max: 310.6 nmol g-1 h-1
max:173.6 nmol g-1 h-1 max: 190.8 nmol g-1 h-1
0-10 cm 10-20 cm 20-30 cm
30-50 cm 50-70 cm 70-100 cm
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Akko 0-10 cm [nmol g-1 h-1]
0
100
200
300
400
500α-glu
ß-Xyl
chit
pho
ß-celloß-glu
Leu
Tyr
Arg
FWTWW
Akko 10-20 cm [nmol g-1 h-1]
0
20
40
60
80
100α-glu
ß-Xyl
chit
pho
ß-celloß-glu
Leu
Tyr
Arg
FWTWW
Akko 70-100 cm [nmol g-1 h-1]
0
50
100
150
200α-glu
ß-Xyl
chit
pho
ß-celloß-glu
Leu
Tyr
Arg
FWTWW
Akko 50-70 cm [nmol g-1 h-1]
0
50
100
150
200α-glu
ß-Xyl
chit
pho
ß-celloß-glu
Leu
Tyr
Arg
FWTWW
Akko 30-50 cm [nmol-1 h-1]
0
50
100
150
200
250
300α-glu
ß-Xyl
chit
pho
ß-celloß-glu
Leu
Tyr
Arg
FWTWW
Akko 20-30 cm [nmol g-1 h-1]
0
50
100
150
200
250
300
350α-glu
ß-Xyl
chit
pho
ß-celloß-glu
Leu
Tyr
Arg
FWTWW
Acco – enzyme activities
max: 431.4 nmol g-1 h-1
max: 271.3 nmol g-1 h-1
max:76.7 nmol g-1 h-1 max: 310.6 nmol g-1 h-1
max:173.6 nmol g-1 h-1 max: 190.8 nmol g-1 h-1
0-10 cm 10-20 cm 20-30 cm
30-50 cm 50-70 cm 70-100 cm
Similar enzyme content pattern over the profile
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-90
-80
-70
-60
-50
-40
-30
-20
-10
00 100 200 300 400 500
ß-glucosidase activity [nmol h-1g-1 dry soil]
Soil
dept
h [c
m]
FWTWW
-90
-80
-70
-60
-50
-40
-30
-20
-10
00.00 1.00 2.00 3.00 4.00 5.00 6.00
ß-glucosidase activity [nmol h-1µg Cmic]
Soil
dept
h [c
m]
FWTWW
ResultsResults
Jüschke & Marschner
Acco – soil enzyme profiles
clear differences between FW and TWW only in topsoil
activity increase with soil depth only under FW irrigation
β-glucosidasenmol h-1 g-1 dry soil nmol h-1 µg-1 Cmic
Distribution along the profile reflects the transportation of carbon
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Jüschke & Marschner
-90
-80
-70
-60
-50
-40
-30
-20
-10
00.00 0.20 0.40 0.60 0.80 1.00
Cellu : C
Soil
dept
h [c
m]
FWTWW
-90
-80
-70
-60
-50
-40
-30
-20
-10
00.00 5.00 10.00 15.00
N:P
Soil
dept
h [c
m]
FWTWW
-90
-80
-70
-60
-50
-40
-30
-20
-10
00.00 5.00 10.00 15.00 20.00 25.00
C:P
Soil
dept
h [c
m]
FWTWW
-90
-80
-70
-60
-50
-40
-30
-20
-10
00.00 0.50 1.00 1.50 2.00
C:NSo
il de
pth
[cm
]
FWTWW
ResultsResults & & DiscussionDiscussionC : P
N : P
Acco – soil enzyme profilesC : N
Cell : C
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-90
-80
-70
-60
-50
-40
-30
-20
-10
00.00 0.20 0.40 0.60 0.80 1.00
Cellu : C
Soil
dept
h [c
m]
FWTWW
-90
-80
-70
-60
-50
-40
-30
-20
-10
00.00 5.00 10.00 15.00
N:P
Soil
dept
h [c
m]
FWTWW
-90
-80
-70
-60
-50
-40
-30
-20
-10
00.00 5.00 10.00 15.00 20.00 25.00
C:P
Soil
dept
h [c
m]
FWTWW
-90
-80
-70
-60
-50
-40
-30
-20
-10
00.00 0.50 1.00 1.50 2.00
C:NSo
il de
pth
[cm
]
FWTWW
ResultsResults & & DiscussionDiscussionC : P
N : P
Acco – soil enzyme profiles
main rooting zone?
less phosphatase necessary!
main rooting zone?
less phosphatase necessary!
Shift?
C : N
Cell : C
less N-degrading enzymes necessary!
more N-degrading enzymes necessary!
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-90
-80
-70
-60
-50
-40
-30
-20
-10
00.00 0.20 0.40 0.60 0.80 1.00
Cellu : C
Soil
dept
h [c
m]
FWTWW
-90
-80
-70
-60
-50
-40
-30
-20
-10
00.00 5.00 10.00 15.00
N:P
Soil
dept
h [c
m]
FWTWW
-90
-80
-70
-60
-50
-40
-30
-20
-10
00.00 5.00 10.00 15.00 20.00 25.00
C:P
Soil
dept
h [c
m]
FWTWW
-90
-80
-70
-60
-50
-40
-30
-20
-10
00.00 0.50 1.00 1.50 2.00
C:NSo
il de
pth
[cm
]
FWTWW
ResultsResults & & DiscussionDiscussionC : P
N : P
Acco – soil enzyme profilesC : N
Cell : C
clear differences between FW and TWW concerning phosphatase mainly pronounced in depth P input by TWW !
Ratio C : N hydrolysing enzyme activity increasedunder TWW irrigation until the first 50 cm
shift in deeper horizons
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-90
-80
-70
-60
-50
-40
-30
-20
-10
00.00 0.20 0.40 0.60 0.80 1.00
Cellu : C
Soil
dept
h [c
m]
FWTWW
-90
-80
-70
-60
-50
-40
-30
-20
-10
00.00 5.00 10.00 15.00
N:P
Soil
dept
h [c
m]
FWTWW
-90
-80
-70
-60
-50
-40
-30
-20
-10
00.00 5.00 10.00 15.00 20.00 25.00
C:P
Soil
dept
h [c
m]
FWTWW
-90
-80
-70
-60
-50
-40
-30
-20
-10
00.00 0.50 1.00 1.50 2.00
C:NSo
il de
pth
[cm
]
FWTWW
ResultsResults & & DiscussionDiscussionC : P
N : P
Acco – soil enzyme profilesC : N
Cell : C
clear differences between FW and TWW concerning phosphatase mainly pronounced in depth P input by TWW !
Ratio C : N hydrolysing enzyme activity increasedunder TWW irrigation until the first 50 cm
shift in deeper horizonsSame result as found for Bazra! even more pronounced,
maybe due to higher clay contents?
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0.2
0.6
1.0
1.4
1.8
2.2
0-10
10-2
0
20-3
0
30-5
0
50-7
0
70-1
00
0-10
10-2
0
20-3
0
30-5
0
50-7
0
70-1
00
ln(B
G):l
n(NAG
+LAP)
C:N
FWTWW
ResultsResults Nutrient aquisation activity (Sinsabaugh et al. 2008)
0.2
0.6
1.0
1.4
1.8
2.2
0-10
10-2
0
20-3
0
30-5
0
50-7
0
70-1
00
0-10
10-2
0
20-3
0
30-5
0
50-7
0
70-1
00
ln(B
G):l
n(AP)
C:P
FWTWWC:P
C:N
Jüschke & Marschner(calculated on the basis of g dry soil)
Bazra Acco
Bazra Acco
Ln(BG):Ln(AP)
Ln(BG):Ln(NAG+LAP)
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0.2
0.6
1.0
1.4
1.8
2.2
0-10
10-2
0
20-3
0
30-5
0
50-7
0
70-1
00
0-10
10-2
0
20-3
0
30-5
0
50-7
0
70-1
00
ln(B
G):l
n(NAG
+LAP)
C:N
FWTWW
ResultsResults & & DiscussionDiscussion Nutrient aquisation activity (Sinsabaugh et al. 2008)
0.2
0.6
1.0
1.4
1.8
2.2
0-10
10-2
0
20-3
0
30-5
0
50-7
0
70-1
00
0-10
10-2
0
20-3
0
30-5
0
50-7
0
70-1
00
ln(B
G):l
n(AP)
C:P
FWTWWC:P
C:N
Jüschke & Marschner(calculated on the basis of g dry soil)
Bazra Acco
If significant differences occur, then ratios arehigher under TWW irrigation!
Nutrient aquisation activity after Sinsabaugh et al. (2008)was compared with these dataData fit in the concept
Sinsabaugh et al. (2008) FW TWWC:N 1.02 ± 0.2 1.11 ± 0.13 1.16 ± 0.13 C:P 0.95 ± 0.15 0.98 ± 0.12 1.03 ± 0.05
Trend of higher ratio, but not significant !
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SummarySummary and and ConclusionConclusion
Jüschke & Marschner
Higher total enzyme activity = higher degradation of SOC
…before it´s open for discussion …
Transport of carbon down the soil profiles, which is then used as source for microorganisms
Continously triggered priming effects resulted in strongerdecrease of SOC
Decreased phosphatase activity in the subsoil horizons
P supply by the TWW is enough, less phosphatase necessary
Clay-humus-complexes3-dimensional network
active enzymes incorporated (Paul and Mc Laren, 1975)
Clay minerals as possible drivers for enzyme activity (clay bind proteins)
not masked by C input in the subsoil
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Thank you for attention
Picture: drip irrigation system - Elisabeth Jüschke 2004
Acknowledgements
- Our cooperation partners: Yona Chen, Yitzhak Hadar (Israel)Jamal Safi (Gaza Strip)
- My recent workplace, the MPI for Biogeochemistry in Jena, Germany
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