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Susannah Woodruff, Rob Lonsinger, Lisette Waits Fish and Wildlife Sciences, University of Idaho MONITORING SPECIES OF CONCERN ON MILITARY LANDS USING NONINVASIVE.

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Presentation on theme: "Susannah Woodruff, Rob Lonsinger, Lisette Waits Fish and Wildlife Sciences, University of Idaho MONITORING SPECIES OF CONCERN ON MILITARY LANDS USING NONINVASIVE."— Presentation transcript:

1 Susannah Woodruff, Rob Lonsinger, Lisette Waits Fish and Wildlife Sciences, University of Idaho MONITORING SPECIES OF CONCERN ON MILITARY LANDS USING NONINVASIVE GENETIC SAMPLING

2 OUTLINE  Need for noninvasive genetic monitoring  Project goals and objectives  Methodological approach  Application to Sonoran pronghorn (Antilocapra americana sonoriensis)  Benefits of approach  Conclusions and future applications

3 PROBLEM STATEMENT  DoD needs reliable monitoring methods to:  Evaluate impacts of military training  Monitor at-risk species  Monitoring programs should:  Provide unbiased and reliable data  Apply to large spatial areas  Be conducted over multiple seasons or years  Be cost-effective

4 PROJECT GOAL AND OBJECTIVES  Demonstrate effectiveness noninvasive genetic sampling and capture-recapture methods (NGS-CR) to monitor species  Design and implement monitoring for kit fox (transect) and Sonoran pronghorn (targeted)

5 PROJECT GOAL AND OBJECTIVES  Demonstrate effectiveness noninvasive genetic sampling and capture-recapture methods (NGS-CR) to monitor species  Design and implement monitoring for kit fox (transect) and Sonoran pronghorn (targeted)  Compare cost-benefit of monitoring based on NGS-CR versus alternatives  Facilitate use of method on other DoD installations

6 TRADITIONAL METHODS

7 WHAT IS NONINVASIVE GENETIC SAMPLING?  Inventory and monitor -- collecting feces, hair, feathers  Primary advantages: > Lack of disturbance > Tag permanence > Reduce capture bias; increase probabilities Spencer Rettler 2013

8 SPECIES ID Developed mtDNA primer Mule deer vs. Pronghorn Woodruff et al. 2014 Rapid species identification of Sonoran pronghorn (Antilocapra americana sonoriensis) from fecal pellet DNA.

9 SPECIES ID Sonoran pronghorn ~124 bp

10 SPECIES ID Mule deer ~179 bp

11 INDIVIDUAL ID Kit Fox: 7-9 nuclear (n) DNA microsatellite loci Pronghorn: 8-10 nDNA microsatellite loci 11 Sample 133 / 3642 / 44 Sample 233 / 3644 / 44 Sample 333 / 3942 / 48 Locus 1 Locus 2 Locus 3

12 Pollock’s Robust Design: = field capture occasion Time (e.g., 1 year) Primary Period 1 Primary Period 2 CAPTURE RECAPTURE METHODS Primary Period K abundance survival, reproduction, movements Time (e.g., 1 year) survival, reproduction, movements abundance

13 Pollock’s Robust Design: = field capture occasion Primary Period 1 Primary Period 2 CAPTURE RECAPTURE METHODS Primary Period K abundance survival, reproduction, movements survival, reproduction, movements abundance  CAPWIRE (Capture With Replacement)  Allows for sampling individuals multiple times per session

14  1800s: 1000’s of Sonoran pronghorn  Habitat loss, drought, human disturbance  2002: <50 remain after severe drought  2014: 202 (CI: 171-334) in United States SONORAN PRONGHORN

15 Source: USFWS Final EA for Reestablishment of Sonoran Pronghorn

16 SAMPLING LOCATIONS

17 TARGETED SAMPLING

18 3-4 times 1 time

19 TARGETED SAMPLING

20  Capture history for each individual INDIVIDUAL CAPTURE HISTORY 0 0 1 1 1 1

21 RESULTS

22 CAPTURE DISTRIBUTIONS - PRONGHORN 22

23 MINIMUM COUNTS 2014 SiteNumber of Samples/Session# Individuals S1S2S3DNAObs. ER242328128-10 CB15192594-8 KH33 271110 UK9089913830 NH20 2498 DH7578772325 PP32303410 3J38679NA

24 MINIMUM COUNTS 2014 SiteNumber of Samples/Session# Individuals S1S2S3DNAObs. ER242328128-10 CB15192594-8 KH33 271110 UK9089913830 NH20 2498 DH7578772325 PP32303410 3J38679NA

25 RESULTS Season# Samples# Individuals PCR Success nDNA Summer 2013 73094 (49M:30F:15FA)82% Summer 2014 922109 (56M:34F:19FA)82% New Sites Summer 2014 13715 (5M:8F:2FA)82% M-=male, F=female, FA=fawn

26 POPULATION ESTIMATE

27 SURVIVAL BY CLASS

28 BENEFITS OF APPROACH  Greater spatial extent covered (K)  Increased temporal frequency (P)  More individuals detected (KP)  More parameters estimated (KP)  Precise estimates (CV < 10%) and standardized approach (KP)  Easier to implement than current methods (KP)  Lower cost/detection (KP) K=kit fox P=pronghorn

29  NGS is a valuable new monitoring approach  Detect species  Estimate population size  Detect movements  Survival, reproduction, genetic diversity  Lab costs of ~$20/sample species ID, $40-$50/sample for individual ID  Provides cost-effective, easy-to-implement monitoring alternative  Potential application to many DoD species  Many sampling alternatives CONCLUSIONS

30  JOHN HERVERT  ROBERT KNIGHT  WAITS LAB  JIM ATKINSON  ERIC GESE  OTHERS I FORGOT… ACKNOWLEDGEMENTS

31 QUESTIONS?


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