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2017-12-13_0949_Pt_RN-AAR
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Reply Rick Nelson on (BOR practice) After Action Review
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2017-12-13_1003_JB_2nd_levelofEffort_explorationEmail
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Reply JB to points on level of effort (GW) and team composition (KM)
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2017-12-13_1601_Pt_FWSAssmt-EMreference
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Point raised by Dean (PPP) from earlier landscape level efforts (EM)
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2017-12-14_0831_JB_3rd_Audience
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Reply from JB regarding intended 'audience' .... or "The WHY" do this study
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2018 AFWA Landscape Conservation Collaboration: A White Paper
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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).
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AFWA - Association of Fish and Wildlife Agencies
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2018-Spring Steering Committee Meeting Notes
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March 6, 2018 10:00 am – March 7, 2018
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SERPPAS - Southeast Regional Partnership for Planning and Sustainability
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[Poster] Work of the AppLCC
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Poster delivered at the Nov 2017 National Forum of Landscape Practitioners, NCTC, Shepherdstown WV.
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A regional neural network ensemble for predicting mean daily river water temperature
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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.
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Brook Trout and Stream Temperature Workshop Information
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Resource Materials: Reprints
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ACP Dec 5th & 6th Meeting Agenda
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final, posted
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Adventure
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Adventure