�Comparison of DOC and RC indicators

2

The task• Task 1 - Match up RC with DOC indicators and

measures (and summarise). Limited to current indicators DOC launched

• Task 2 - ID which ones have current DB solutions

and which ones DOC is leading into Sequel Server (SS) DB environment over next 12 months

– Task 3 - For those going into DOC SS DB environment which ones we could collaborate on to ensure that data standards DOC sets can align/be met by RC’s & DOC to enable reporting at national scale with confidence

– Task 4 - Test and provide this to the Biod Working group as tool and example of next steps/agreement to proceed

3

• Wont show you the workings as too much detail• Some RC Measures reports still to come• Our comparison still in progress but so far

• For the 20 RC Objectives most match with DOC indicators programme

• Some divergence needs testing with key people in case matters for this project and wider reporting needs:

– Eg RC M2: Vegetation structure and composition (aka DOC 5.1.1 Size class structure of canopy dominants)

Findings so far…

Agency Indicator MeasureNHMS 5.1 Composition 5.1.1 Size class structure of

canopy dominants

RC Biodiversity condition

M2 Vegetation structure and composition.

DOC 5.1 Composition 5.1.1 Size class structure of canopy dominants

Element Statistics Bac

k V

ege

tatio

n R

ecc

e

Ste

m d

ata

db

h ≥

2.5

cm

Sap

ling

coun

ts >

1.3

5m

ta

ll a

nd d

bh <

2.5

cm

Un

der

sto

rey

sub

plo

ts

≤1.

35m

tal

l

Me

tho

d an

d m

anu

als/

pro

tocl

s in

pla

ce

Da

tab

ase

solu

tion

Da

ta s

tore

d

Da

ta S

tand

ard

s d

efin

ded

Da

ta p

erm

issi

ons

All woody species in plot database. Size structure with diameter classes chosen individually for each species. Presented on scales from national to catchment depending on species distribution and nature of change.

Not covered in report

● ● ●

NVSFor all species with dbh ≥ 2.5 cm, paired comparisons of mean dbh (though other statistics such as median or first and third quartiles might be used) within plots but between measurement dates will be made

● H&ANVS express

NVS ● Via NVS

For species with dbh ≥ 2.5 cm, comparisons of total basal area within plots but between sampling dates will be made, with differences being summed across all plots.

● H&ANVS express

NVS ● Via NVS

Counts of woody stems, as genets, >1.35 m tall but dbh < 2.5 cm, based on measurements at 400-m2 (20 × 20 m plot) and 25-m2 scales.

For all species, changes in local frequency in 5 × 5 m subquadrats (i.e. the percentage of subquadrats in which the species is present) will be reported.

● H&ANVS express

NVS ● Via NVS

Counts of woody stems, as genets, <1.35 m tall, in fixed height-classes in replicated subplots (total 18-m2 scales)

For all woody species <1.35 m tall (not including lianas), paired comparisons of mean number of stems per height tier per subplot (means derived across 24, 0.75-m2 spatially separate subplots) within plots but between measurement dates will be made.

● H&ANVS express

NVS ● Via NVS

Presence of non-woody plants,including lianas, <1.35 m tall, in fixedheight-classes in replicated subplots(total 18-m2 scales)

No statistics in report. Bellingham et al. 2013 reported on size class structure of common non-woody species. Calculated as the proportion of seedling subplots where a species was present in one of the height tiers.

● H&ANVS express

NVS ● Via NVS

Demographic trends (growth, mortality, and recruitment, based on repeated measurements of tagged individuals) to further inform changes in population size structure, across all species, and by species (or species-groups).

Comparison of frequency distribution of stems changing over time. For example, to measure the effect of growth, all individuals present at both time 1 and time 2 would be assigned their size at t2. The resulting distribution would be compared with that observed at t1, and the test statistic recorded.

● H&ANVS express

NVS ● Via NVS

The number of plots where the proportion of native species present in each tier is >50% of all species occuring in the tier

● H&ANVSexpress

NVS ● ViaNVS

The number of plots where the proportion of native woody species present in each diameter size category is >50% of all woody species occurring in the diameter size category.

● ● ● H&ANVSexpress

NVS ● ViaNVS

The number of plots where the proportion of native non-woody species is >50% of all non-woody species occuring in the tier.

● H&ANVSexpress

NVS ● ViaNVS

Presence of suitable indigenous component in all structural layers.

Size-class distributions of woody stems ≥2.5 cm in diameter at 1.35 m, by species, based on measurements at 20 × 20 m plot scales.

M2 - Vegetation structure and composition (= DOC 5.1.1 Size class structure of canopy dominants)

• RC stat for reporting = number of plots where the proportion of native species present in each tier is >50% of all species occurring in the tier

• DOC = All species and not dependent on cover or abundance

5

Database solutions for Regional Councils

• 4 of 20 Measures are dependent on field measures for reporting (M2, M3, M7, M16)

4 of 20 Measures are dependent on field measures

RegionalCouncils(Lee&Allen2011,withmodifications)

RegionalCouncils(Lee&Allen2011,withmodifications)

DOC(Leeetal.2005)

DOC(Leeetal.2005)

Tier1DOC?Direct/ Indirect/Not

implementedyet/No

Field/OfficedatacollationforDOC

Same/ similarorSignificantdivergence

DOChasmethodsand

manuals/ protocolsinplace

CurrentDBsolutions(Existingandname)/Newin12months(Agency

leadandtype)/ unknown

SharewithothersisinplanifNewby

DOC

DOChasDataStandardsforexchange

completedbyDOC?

Datapermissionsknown?

RCIndicator RCMeasure DOCIndicator DOCMeasureStateandCondition Ecosystem

representation

Biodiversitycondition

M2:Vegetationstructureandcomposition

Indicator5.1Composition

Measure5.1.1Sizeclassstructureofcanopydominants

Direct Field Divergence-(>50%RC)maynotmatterifmethodsthesame

Vege(H&A) Exisitng-NVSexpress Yes-NVSexpressupgradeorDataexchangetoallowuploadtoNVS

Indraft ViaNVSforall

Biodiversitycondition

M3:Avianrepresentation

Indicator5.1Composition

Measure5.1.2(birds)Demographyofwidespreadanimalspecies

Direct Field Same/Similar 1.5MBC,10MBC2.Vege(H&A)

1.New-SS2.Exisitng-NVSexpress

1.Yes-Bennotoexplainmore2.Yes-NVSexpressupgradeorDataexchangetoallowuploadtoNVS

Indraft 1.DOCcurrenlty2.ViaNVSforall

ThreatsandPressures

Weedsandanimalpests

M7:Distributionandabundance

Indicator2.2Exoticweedandpestdominance

Measure2.2.1(weedsandpests)Distributionandabundanceofexoticweedsandpestsconsideredathreat

Direct Field Same/Similar 1.Mammal(NPCandPellets)2.Vege(H&A)

1.New-SS2.Exisitng-NVSexpress

1.Yes-Bennotoexplainmore2.Yes-NVSexpressupgradeorDataexchangetoallowuploadtoNVS

Indraft 1.DOCcurrenlty2.ViaNVSforall

Effectivenessofpolicyandmanagement

Pestmanagement

M16:Changeintheabundanceofindigenousplantsandanimalssusceptibletointroducedherbivoresandcarnivores

Indicator5.1Composition

Measure5.1.3(plantfunctionaltypes)RepresentationofplantfunctionaltypesMeasure5.1.4(animalguilds)Representationofanimalguilds

Direct Field Same/Similar 1.5MBC,10MBC2.Vege(H&A)

1.New-SS2.Exisitng-NVSexpress

1.Yes-Bennotoexplainmore2.Yes-NVSexpressupgradeorDataexchangetoallowuploadtoNVS

Indraft 1.DOCcurrenlty2.ViaNVSforall

7

Only one has current DB solution for DOC (NVS express)

• NVS express for DOC and upgrade for all Tier 1 needs in place now and refined this season

• 2014/15 anticipate upgrade for all others including variable plot size

• Can still put most data in now anyway if use NVS express

• But in meantime data standards are known and in draft for all users if other options used and we want to share (Interpine/Xcel etc)

• Local cf National reporting works if align methods and data standards & challenges if diverge

8

Data standards Stems e.g.• Permanent 20 x 20m plots as per Hurst &

Allen 2007

9

Data standards Stems e.g.

Measure Name

Measure Type Technique Name Units

Data Type

Precision (total digits)

Scale (decimal places)

Lower Bound

Upper Bound

Stem Diameter Continuous

Standard Stem Diameter cm decimal 5 2 0 1000

Stem Height Continuous Standard m decimal 4 2 0 50

Lean Angle ContinuousStandard Stem Diameter degrees int 3 0 0 180

Stem Diameter Continuous

Standard Stem Diameter cm decimal 5 2 0 1000

Stem Height Continuous Standard m decimal 4 2 0 50

Lean Angle ContinuousStandard Stem Diameter degrees int 3 0 0 180

10

The other 3 field dependent measures rely on Bird and mammal data

• No current solution for others to use but

• DOC moving to SQL Servers for these• Will plan to have interoperability (Benno

Kappers lead this)• 2014/15 anticipate DOC solution • But in meantime data standards are

known and in draft for all users if other options (Own 5MBC DB/Xcel etc)

• Local cf National reporting works if align methods and data standards & challenges if diverge

11

Data standards 5MBC e.g.

sampling_location_IDstation_ID sampling_date start_time

species

no_indiv_NEAR

no_indiv_FAR

no_indiv_VERY_FAR

Com

ments

SUM

ADMIN_NOTES STATUS9999 9999 9999 9999 9999 9999 9999 9999 9999

Variable Variabletype VariabledescriptionSamplinglocationID Factor Sampling location identifier: a unique code for each 8km grid intersect point consisting of 1 or 2 capital letters followed by 2 or 3 numbersStationID List Transect identifier: X, A, D, M, PSamplingdate dd/mm/yyyy Date that sampling occurredStarttime Time Start time of the sampling unit (hh:mm)Species List Common names of bird speciesNoofindividualsNEAR Numeric Number of birds observed (near= 0-25m)NoofindividualsFAR Numeric Number of birds observed (far= 26-100m)NoofindividualsVERYFAR Numeric Number of birds observed (very far= >100m)Comments Text Complementary information concerning the individual count record

Descriptionofdataandcodesusedinsheet"bird5MBC"

12

16 out of 20 Measures are based on gathering/harvesting data from other

places

• Of these matching = 14• Eg of sources to harvest and report with are

LCDB/LENZ/DOC threaten plants list etc.• No current DB solution for these at all but

• Some common rules needed for extraction and use of comparable layers/elements and interpretation

• Ensure we all use same definitions (eg “threatened”, “rare”)• DOC moving to some kind of central harvest of information

to reduce work load as this is very time consuming • But in meantime data standards/sources and elements are

known for DOC indicators (Benno leads this)• Local cf National reporting works if align methods and data

standards & challenges if diverge

13

END