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File 2018 AFWA Landscape Conservation Collaboration: A White Paper
Submitted by Mark Humpert, to the AFWA Directors at the 83rd North American Wildlife and Natural Resources Conference held in Norfolk, Virginia on March 26-30, 2018. Based on the contributions by regional partners and state representatives with final paper prepared by AFWA’s Wildlife Resource Policy Committee Work Group. Working Group Members: Jim Douglas, Nebraska Game and Parks Commission (Chair); Dave Smith, Intermountain West Joint Venture; Tony Wasley, Nevada Department of Wildlife, Ed Schriever, Idaho Department of Fish and Game; Sara Parker Pauley, Missouri Department of Conservation; Kelley Meyers, US Fish and Wildlife Service; Kenny Dinan, US Fish and Wildlife Service; Ed Carter, Tennessee Wildlife Resources Agency; Greg Wathen, Tennessee Wildlife Resources Agency; Thomas Eason, Florida Fish and Wildlife Conservation Commission; Ken Elowe, US Fish and Wildlife Service; David Whitehurst, Virginia Department of Game and Inland Fisheries; Elsa Haubold, US Fish and Wildlife Service; Keith Sexson, Kansas Department of Wildlife Parks and Tourism; Bill Moritz, Wildlife Management Institute; Mike Carter, Playa Lakes Joint Venture; Mark Humpert, Association of Fish and Wildlife Agencies (staff).
Located in News & Events / Events / AFWA - Association of Fish and Wildlife Agencies
File ECMAScript program 2018-Spring Steering Committee Meeting Notes
March 6, 2018 10:00 am – March 7, 2018
Located in News & Events / Events / SERPPAS - Southeast Regional Partnership for Planning and Sustainability
File C++ source code [Poster] Work of the AppLCC
Poster delivered at the Nov 2017 National Forum of Landscape Practitioners, NCTC, Shepherdstown WV.
Located in Our Community / Workshops
File A regional neural network ensemble for predicting mean daily river water temperature
Abstract: Water temperature is a fundamental property of river habitat and often a key aspect of river resource management, but measurements to characterize thermal regimes are not available for most streams and rivers. As such, we developed an artificial neural network (ANN) ensemble model to predict mean daily water temperature in 197,402 individual stream reaches during the warm season (May–October) throughout the native range of brook trout Salvelinus fontinalis in the eastern U.S. We compared four models with different groups of predictors to determine how well water temperature could be predicted by climatic, landform, and land cover attributes, and used the median prediction from an ensemble of 100 ANNs as our final prediction for each model. The final model included air temperature, landform attributes and forested land cover and predicted mean daily water temperatures with moderate accuracy as determined by root mean squared error (RMSE) at 886 training sites with data from 1980 to 2009 (RMSE = 1.91 C). Based on validation at 96 sites (RMSE = 1.82) and separately for data from 2010 (RMSE = 1.93), a year with relatively warmer conditions, the model was able to generalize to new stream reaches and years. The most important predictors were mean daily air temperature, prior 7 day mean air temperature, and network catchment area according to sensitivity analyses. Forest land cover at both riparian and catchment extents had relatively weak but clear negative effects. Predicted daily water temperature averaged for the month of July matched expected spatial trends with cooler temperatures in headwaters and at higher elevations and latitudes. Our ANN ensemble is unique in predicting daily temperatures throughout a large region, while other regional efforts have predicted at relatively coarse time steps. The model may prove a useful tool for predicting water temperatures in sampled and unsampled rivers under current conditions and future projections of climate and land use changes, thereby providing information that is valuable to management of river ecosystems and biota such as brook trout.
Located in News & Events / / Brook Trout and Stream Temperature Workshop Information / Resource Materials: Reprints
File Octet Stream ACP Dec 5th & 6th Meeting Agenda
final, posted
Located in Our Community / Workshops
ACP Position paper WG
ACP 1. Develop a position paper of vision, goals to serve Partnership over next few years. Work Group: Gwen Brewer (MD DNR) lead: Participants: Bridgett Costanzo (NRCS), Bill Jenkins (EPA-3), Perry Wheelock (NPS-NCR). Focus: i. ID workplan, work groups, gaps, communication needs ii. Develop next steps
Located in Our Community
ACP Position paper WG
ACP 1. Develop a position paper of vision, goals to serve Partnership over next few years. Work Group: Gwen Brewer (MD DNR) lead: Participants: Bridgett Costanzo (NRCS), Bill Jenkins (EPA-3), Perry Wheelock (NPS-NCR). Focus: i. ID workplan, work groups, gaps, communication needs ii. Develop next steps
Located in LP Members / Workspaces / Landscape Partnership Work Group Materials
ACP Project Manager WG
ACP Work Group 3. Plan for project manager. Work Group: Jon Gasset (WMI, service fees apply) lead. Participants: Bridgett Costanzo (NRCS), Paul Johansen (WV DNR). Focus: i. Propose/draft a scope of work for this type of support ii. Seek money and fitting person
Located in Our Community
ACP Project Manager WG
ACP Work Group 3. Plan for project manager. Work Group: Jon Gasset (WMI, service fees apply) lead. Participants: Bridgett Costanzo (NRCS), Paul Johansen (WV DNR). Focus: i. Propose/draft a scope of work for this type of support ii. Seek money and fitting person
Located in LP Members / Workspaces / Landscape Partnership Work Group Materials
ACP State of the Appalachians WG
Situational analysis “State of the Appalachians”. Danny Lee (USFS-SRS): Lead. Members: Rick Durbrow (EPA-4), Bill Jenkins (EPA-R3), Cale Godfry (VA DGIF), Cindy Williams (FWS-R4-ACP). Work group focus: i. Where we are, how the investment we’ve done has advanced things ii. Focus on water quality, landscape, etc. iii. Can think about metrics, monitoring
Located in Our Community