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EBTJV Project Overview  Riparian planting tool  Brook trout habitat patch layer.

Published byCecily Gilbert Modified over 9 years ago

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Presentation on theme: "EBTJV Project Overview  Riparian planting tool  Brook trout habitat patch layer."— Presentation transcript:

1 EBTJV Project Overview  Riparian planting tool  Brook trout habitat patch layer

2 Riparian Planting Tool  Purpose  To help locate & prioritize locations where tree plantings would be most beneficial  Data  Canopy cover layer (30 M raster)  Solar radiation layer (30 M raster)  NHD+ Stream layer w/ 100 M buffer  End Product  Web-based GIS tool

3 Riparian Planting Tool  Web-tool features  User-specified threshold values % Canopy cover <= 70% % Rank of solar radiation >= 75%  User-specified spatial extent Select based on various geographic & hydrologic layers Maryland Brook trout habitat patch Makes ranking of solar radiation values more relevant

4 Data

5 Frostburg

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7

8

9 Riparian Planting Tool  Currently developing web-tool  Will be housed on Appalachian LCC website  Suggestions for new/improved features

10 Habitat Patch Layer  Purpose  To update initial brook trout assessment performed at the sub-watershed scale to the catchment scale  Data  NHD+ Catchment layer  State trout sampling data  Dams/Lakes layer  End Products  Brook trout habitat patch layer  NHD+ catchment layer w/ trout occurrence labels

11 Current Patch Layer  Current patch layer completed for PA south  Requested data from remaining states in April

12 State Data StateResponded to RequestSent Data ConnecticutYes MaineNo MassachusettsNo New HampshireYes New YorkYes OhioYes Rhode IslandNo VermontNo

13 Habitat Patch Layer  Currently writing script to automate process  Speed up analysis/reduce error Patches more numerous in northern states  Reproducable  Enable retrospective analysis Produce patch layers through time Quantify patch loss  Establish framework for future analyses Occupancy models Catchments assigned probability of having brook trout

14 Field Testing  Determine if “patch” is appropriate scale  Do large patches contain multiple populations  Sample patches over range of sizes Explain patch effective number of breeders (N b ) by patch size

15 Patch Size & Populations 10,880 Ha 1,217 Ha 3,807 Ha

16 Sampled Patches  Size range  509 to 11,570 Ha  Used sub- sampling strategy detailed in Whiteley et al 2012

17 Preliminary Patch N b Results Habitat remediation/Stable Summer flows Sympatric with Rainbow trout

18 VA Patches Sampled Patches Prioritized Patches Unsampled Patches

19 Field Testing Conclusions  Patch proper scale for brook trout management  Layer for entire brook trout range in development  N b predictive model appears feasible  Outliers have reasonable explanations  Continue to add patches & develop model

20 Acknowledgements Matt Burak, Maili Page & Gonzalo Mendez conducted genetic analyses The following organizations provided financial assistance or volunteer support: James Madison University George Washington and Jefferson National Forest Virginia Department of Game and Inland Fisheries U.S. Forest Service, Northern Research Station University of Massachusetts Amherst U.S. Geological Survey, Leetown Science Center Conte Anadromous Fish Research Laboratory

21 N b vs. Abundance

22 Population Monitoring  Genetics  N b – Effective number of breeders Combines number of parents and family size Lower values = fewer parents and/or skewed family sizes FamilyMomDad 191 211 311 411 511 611 711 811 911 1011 N b = 9.8 FamilyMomDad 110 2 3 4 5 6 7 8 9 N b = 99.5 FamilyMomDad 110 2 3 4 5 N b = 49.5

23 2012 Patch Sampling PatchHaOccupied ThirdsRainbow TroutN LWC12753No58 EC15912No74 CSR17030Yes0 GR19792No76 LS19913No75 NFBR27032No75 SC40741Yes14 LPWC42331No65 PR49321Yes59 SBC51881Yes75 NBC53680Yes0 NFTR115773No73

24 Brook Trout Patches Virginia Patches (n = 331) Average size = 1,541 ha Median size = 855 ha

25 N b -to-N e relationship  Used two FG YOY samples (2004, 2010)  Temporal N e (Wang & Whitlock 2003)  Estimated N e : 201.1  Single-sample estimated N b : 111.6  N e = g x N b = 1.91 x 111.6 = 213.2  g from Letcher et al. 2007

26 Sampling Strategies for Estimating Brook Trout Effective Population Size Jason Coombs – University of Massachusetts Andrew Whiteley – University of Massachusetts Mark Hudy – U.S. Geological Survey Zachary Robinson – University of Massachusetts Amanda Colton – U.S. Forest Service Ben Letcher – U.S. Geological Survey Keith Nislow – U.S. Forest Service

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