EBTJV Project Overview Riparian planting tool Brook trout habitat patch layer
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
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
Data
Frostburg
Riparian Planting Tool Currently developing web-tool Will be housed on Appalachian LCC website Suggestions for new/improved features
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
Current Patch Layer Current patch layer completed for PA south Requested data from remaining states in April
State Data StateResponded to RequestSent Data ConnecticutYes MaineNo MassachusettsNo New HampshireYes New YorkYes OhioYes Rhode IslandNo VermontNo
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
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
Patch Size & Populations 10,880 Ha 1,217 Ha 3,807 Ha
Sampled Patches Size range 509 to 11,570 Ha Used sub- sampling strategy detailed in Whiteley et al 2012
Preliminary Patch N b Results Habitat remediation/Stable Summer flows Sympatric with Rainbow trout
VA Patches Sampled Patches Prioritized Patches Unsampled Patches
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
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
N b vs. Abundance
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 N b = 9.8 FamilyMomDad N b = 99.5 FamilyMomDad N b = 49.5
2012 Patch Sampling PatchHaOccupied ThirdsRainbow TroutN LWC12753No58 EC15912No74 CSR17030Yes0 GR19792No76 LS19913No75 NFBR27032No75 SC40741Yes14 LPWC42331No65 PR49321Yes59 SBC51881Yes75 NBC53680Yes0 NFTR115773No73
Brook Trout Patches Virginia Patches (n = 331) Average size = 1,541 ha Median size = 855 ha
N b -to-N e relationship Used two FG YOY samples (2004, 2010) Temporal N e (Wang & Whitlock 2003) Estimated N e : Single-sample estimated N b : N e = g x N b = 1.91 x = g from Letcher et al. 2007
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