INDEX OF BIOTIC INTEGRITY MODELS FOR EVALUATING … · ‐ measure vegetation once (May – Aug)...

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INDEX OF BIOTIC INTEGRITY MODELS INDEX OF BIOTIC INTEGRITY MODELS FOR EVALUATING ECOLOGICAL FOR EVALUATING ECOLOGICAL FOR EVALUATING ECOLOGICAL FOR EVALUATING ECOLOGICAL RESTORATION IN HARDWOOD RESTORATION IN HARDWOOD BOTTOMLAND SITES BOTTOMLAND SITES Elizabeth A. Summers Matthew J. Gray Matthew J. Gray Dept. of Forestry, Wildlife & Fisheries

Transcript of INDEX OF BIOTIC INTEGRITY MODELS FOR EVALUATING … · ‐ measure vegetation once (May – Aug)...

Page 1: INDEX OF BIOTIC INTEGRITY MODELS FOR EVALUATING … · ‐ measure vegetation once (May – Aug) ‐sample salamanders and birds >4 times, at least 1 week apart (Mar –A)Aug) State

INDEX OF BIOTIC INTEGRITY MODELS INDEX OF BIOTIC INTEGRITY MODELS FOR EVALUATING ECOLOGICALFOR EVALUATING ECOLOGICALFOR EVALUATING ECOLOGICAL FOR EVALUATING ECOLOGICAL RESTORATION IN HARDWOOD RESTORATION IN HARDWOOD 

BOTTOMLAND SITESBOTTOMLAND SITES

Elizabeth A. Summers Matthew J. GrayMatthew J. Gray

Dept. of Forestry, Wildlife & Fisheries

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d l d i fl d l i

Bottomland  Hardwood (BLH) Forests

• Forested wetlands in floodplains h

• Habitat

birds‐ birds‐ amphibians‐mammals‐ fish

• Ecosystem services‐ Filter contaminants‐ Store sediments‐ Stabilize riverbanksStabilize riverbanks‐ Flood control‐ Produce biomass, sequester carbon

• Historically common in SE• Currently, >70% of original BLH destroyed

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Bottomland RestorationBottomland Restoration

Wetlands Reserve Program (WRP)– Established 1990 under farm billV l f l d– Voluntary program for landowners

– Retires agricultural land from production in flood‐prone areas

– Restorations consist of replanting, hydrology

Tennessee– Began restoration under WRP in 1994Began restoration under WRP in 1994– Mostly in western 1/2 of state– 90% hardwood bottomlands– Currently 4,014 ha enrolled in TN

20042004

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Monitoring

•  Currently 779,000 ha enrolled in WRP nationwide

•  $ 4.9 billion since 1990

Currently no monitoring protocolCurrently no monitoring protocol

•   Monitoring important to ensure restoration goals are reachedeac ed

‐ for WRP, restoration of ecological function

• Can lead to adaptive management•   Can lead to adaptive management

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Bioassessments

• Use community composition of plants and animals to measure health of system– Advantage: Measure effects of multiple stressors at onceDrawback: Requires knowledge of taxa being measured– Drawback: Requires knowledge of taxa being measured

• Index of Biological Integrity (IBI)– Measures ability of site to support balanced community similar to undisturbed sites in region

– Uses community metrics of several taxa to give a summaryUses community metrics of several taxa to give a summary score

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ObjectiveObjective

Develop IBI models for vegetation, amphibian and avian communities to be used for monitoring the state of ecological restorationmonitoring the state of ecological restoration in hardwood bottomlands

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MethodsMethods

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Study SitesStudy Sites

• 17 Randomly selected restoration sitesMulti‐stage sampling approach

First level: 1st year of restoration– First level: 1st year of restoration 

(1987, 1995‐2006)

– Second level: Size ‐ large (>45 ha) 9 sites

‐ small (<45 ha) 8 sites

• 4 Reference sites located in Hatchie NWR– Longest unchannelized tributary of 

Mississippi river – Medium‐aged stand: appropriate 

target for restorationstarget for restorations– Mean stand age 49, 58, 41, and 55 

years old

Restoration sites

Reference sites

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Sampling Plot PlacementSampling Plot Placement

Two plots at each site– minimum 250 m apart

– Located in highest and lowest contours

>100m

‐‐OR‐‐ tributary>250m

One plot at center of sitesites too small for 250 m separation

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Vegetative CompositionN Sampled at 1 random plotN Sampled at 1 random plot

per site

Herbaceous vegetationUnderstorywoody plants< 1.4 m tall

g(Jun, Aug)

< 1.4 m tall

OverstoryMidstorywoody plants <11 4 cm DBH >1 4 m tall

Overstorywoody plants>11.4 cm DBH

<11.4 cm DBH, >1.4 m tall

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Vegetative CompositionSampled at 1 random plot

per site

• Vertical structure (0‐2 m above ground)

• Canopy closureMeasured 2x(Jun, Aug) Canopy closure

• Overstory height 4

(nearest tree to plot center)

• Logs (>11.4 cm dia) Measured once (Jun)

3g ( )

• Snags (>11.4 cm dbh)once (Jun)

2

• Tree Basal Area1

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Amphibian Sampling DesignOnce every 2 wksOnce every 2 wksMar – Aug 2008

1 random1 random plot 

All plotsAll plots

RecordersTreefrog tubesCover boardsArea search

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Bird CompositionBird CompositionOnce every 2 wks

Point Counts– Morning after amphibian recorders put out

Once every 2 wksMar – Aug 2008

– Ten minute count at each plot

– 50‐m radius

d d bili i di• Tested detectability using recordings

• Detectability similar among sites

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Amphibian & Bird Community MetricsCommunity Metrics

• Species richness•  Species richness‐ Total # of species per 2‐month period‐Mar – Apr, May – Jun, Jul – Aug 

•   Shannon‐Wiener species diversity

• Abundance

Averaged over each 2‐month 

i d   Abundance

‐ 5 Amphibian families

Bi d h bit t ild

period

‐ Bird habitat use guilds4 feeding guilds5 nesting guildsg g

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Bird Habitat Use GuildsD G f d Ch d i k 1984

Feeding Guilds Nesting Guilds

DeGraaf and Chadwick 1984

AirGround 

Cavity Shrub

Canopy GroundBranch Twig

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AnalysisAnalysis and Resultsand Results

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IBI Model Development1) Identified community metrics which vary along a disturbance 

gradient: time since restoration‐ Linear Regression

0 years

‐ Included seasonal period (1, 2, 3)

2) Chose metrics based on strength of relationship with site ageD i i l R2 50% f i f i it

Reference

‐ Decision rule: R2 > 50% of maximum for a given community

3) Assigned scores to final metrics‐ Used observed range of values across all sites for given metricg g‐ Divided range into quartiles

Percentile ScorePercentile Score

0 – 25 1

26 – 50 2

51 – 75 3

76 – 100 4

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Results: Vegetation

Logs

asal Area

R2 = 0.64R2 = 0.89L

R2 = 0.59

Ba

R2 = 0 51

Snags

R  0.59

ertical cover 

5 –1 m high R2 = 0.51

ees

Ve 0.5

nder R2 = 0.69 R2 = 0.48

Overstory Tre

tical cover un

0.5 m high 

O

Site Age

Vert

Site Age

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Results: Birds and Amphibians

Birds

Amphibians

Amphibians Feede

rs R2 = 0.76

omatidae

R2 = 0.30

Bark

ters R2 = 0.44

Ambysto

R2 0 37

Bran

ch Nest

dontidae

R2 = 0.37

g Nesters R2 = 0.83

Pletho

d

Site Age

Twig

Site Age

g

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IBI Model: Vegetation

Metric Field Measurement IBI Restoration ScoreLogs 0 1

(3.14‐ha plot) 1 - 2 23 - 21 3>21 4

Snags 0 11 - 2 2>2 3

Overstory trees 0 1(0.04‐ha plot) 1 - 5 2

>5 3Basal area 0 - 1 1/ 

3.14

 ha

4Sum for final 

score(ft2 / acre) 2 - 30 2

30 - 60 3>60 4

Mid-level vertical cover 93.9 - 100 1

Logs /

3

score

80.5 - 93.8 247.6 - 80.4 3

0 - 47.5 4Low vertical cover 98.3 - 100 1Site Age

123

85.1 - 98.2 20 - 85 3

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IBI Model: Birds

Metric Field Measurement IBI Restoration ScoreMetric Field Measurement IBI Restoration Score

Branch nesters 0 - 0.3 1(0.79‐ha plot) 0.4 - 1.0 2

1 1 2 6 31.1 - 2.6 3>2.6 4

Twig nesters 0 - 0.1 10 2 0 5 20.2 - 0.5 20.6 - 1.0 3

>1.0 4Bark feeders 0 1

0.1 - 0.3 2>0.3 3

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IBI Model: Amphibians

Metric Field Measurement IBI Restoration Score

Ambystomatidae Absent 0

Present 1Present 1

Plethodontidae Absent 0

Present 1

Don’t recommend using alone

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IBI Application

‐ Use IBI models alone or sum for overall score

‐ Establish 100‐m radius sampling plot at site centerEstablish 100 m radius sampling plot at site center‐measure vegetation once (May – Aug)‐ sample salamanders and birds >4 times, at least 1 

k (M A )week apart (Mar – Aug)

State of Vegetation Bird Amphibian SummedState of Restoration

VegetationScore

BirdScore

Amphibian Score

Early 6 – 9  3 – 4 0

Summed Scores

9 – 14

Mid 10 – 13  5 – 6 0

Late 14 – 17 7 – 8 0

15 – 20

21 – 26

Reference 18 – 21 9 – 11 1 – 2 27 – 34

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Example: Vegetation IBIMetric Field

Measurement IBI Restoration ScoreExampleExampleLogs 0 1

(3.14‐ha plot) 1 - 2 23 - 21 3>21 4

p

2

p

2 logs

>21 4Snags 0 1

1 - 2 2>2 3

O t t 0 1

+

2

+

1 snag

Overstory trees 0 1(0.04‐ha plot) 1 - 5 2

>5 3Basal area 0 - 1 1

+

2

+

3 overstory trees

Late restoration

(ft2 / acre) 2 - 30 230 - 60 3

>60 4Mid-level vertical cover 93.9 - 100 1

3

+

40 baState of 

RestorationVegetation

ScoreBirdScore

Amphibian Score

80.5 - 93.8 247.6 - 80.4 3

0 - 47.5 4Low vertical cover 98 3 - 100 1

+

3

+

82% coverEarly 6 – 9  3 – 4 0

Mid 10 – 13  5 – 6 0Low vertical cover 98.3 - 100 1

85.1 - 98.2 20 - 85 3

2

14

90% coverLate 14 – 17 7 – 8 0

Reference 18 – 21 9 – 11 1 – 2

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Conservation Implicationsp

‐IBI models can be used as a tool to monitor hardwood bottomland restorations in TN‐Elsewhere? ‐Recommend validation using independent data

‐Models built using mature forest as reference standardstandard‐Don’t apply if early successional species are a prioritypriority

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Photo CreditsPhoto CreditsBrenda CarrollBrenda CarrollRon ErwinRon Erwin

Matthew J. GrayMatthew J. GrayTiTi B ldB ldTim Tim BaerwaldBaerwaldGreg LavatyGreg LavatyJohn WhiteJohn White

Jacob S. Jacob S. SpendelowSpendelowWilliam William FlaxingtonFlaxington

Terry Terry HibbitsHibbitsCharlie FreemanCharlie FreemanDennis DesmondDennis DesmondDennis DesmondDennis DesmondNathan Nathan BanfieldBanfield

Brad MoonBrad MoonLillian StokesLillian StokesJim HardingJim HardingDavid David SpeiserSpeiserTerry Terry SohlSohl

RichardRichard PasellPasellRichard Richard PasellPasell

Jim BurnsJim Burns

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Acknowledgements

Dr. Matthew  J. GrayDr. David A. BuehlerDr. James Fordycey

Dr. Thomas H. RobertsLuke OwensLacy RuckerF k S ilkFrank Spilker

Mike Zeman (NRCS) Bobby Mimms (NRCS)

Mike Chouinard (Hatchie NWR)Jason Maxedon (TWRA)

Mike Pitts (TN State Parks)Dr. Robert Hayes (WTREC)Dr James SchmidhammerDr. James Schmidhammer

Funding:NRCS AWCC

The Nature Conservancy

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Questions?Questions?