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2014 Lecture: Forecasting changes in stream flow, temperature, and salmonid populations in Eastern U.S. as a result of climate change
by Jean Brennan — published Feb 20, 2015
Ben Letcher
Located in News & Events / … / Brook Trout and Stream Temperature Workshop Information / Resource Materials: Presentations
2014 Workshop - May 1st Stream Temperature Data and Modeling Meeting II
by Jean Brennan — published Feb 12, 2015
Co-hosted by EPA Region 1, U.S. Fish and Wildlife Service, North Atlantic Landscape Conservation Cooperative, USGS Northeast Climate Science Center, and USGS Conte Anadromous Fish Research Center. Presentations are available - see agenda below for a link to the files.
Located in News & Events / … / Resource Materials: Previous Workshops / 2014 Stream Temperature Modeling (Meeting II)
2014 Workshop - May 1st Stream Temperature Data and Modeling Meeting II
by Jean Brennan — published Feb 12, 2015 — last modified Feb 13, 2015 09:56 PM
Co-hosted by EPA Region 1, U.S. Fish and Wildlife Service, North Atlantic Landscape Conservation Cooperative, USGS Northeast Climate Science Center, and USGS Conte Anadromous Fish Research Center. Presentations are available - see agenda below for a link to the files.
Located in News & Events / … / Stream Temperature Workshop Information / 2014 Workshop
File 2018 AFWA Landscape Conservation Collaboration: A White Paper
by Jean Brennan — published Apr 03, 2018 — last modified Apr 11, 2018 02:48 PM — filed under:
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 A regional neural network ensemble for predicting mean daily river water temperature
by Jean Brennan — published Feb 20, 2015 — last modified Feb 20, 2015 08:17 AM
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
Image JPEG image CASRI Cover Page
by Jean Brennan — published Oct 06, 2013
Located in Resources / … / Images / Other Images
Conservation Challenge
by Jean Brennan — published Aug 31, 2015 — last modified Jul 18, 2016 09:43 AM
Water withdrawals from human activities can alter surface water resources and impact aquatic habitats and organisms. The most commonly studied sources of flow alterations are typically dams and water withdrawals associated with agricultural operations and industrial uses. However, the emergence of hydraulic fracturing has led to the rapid expansion of natural gas drilling and has made it a key source in altering surface water resources in the Marcellus Shale region.
Located in Projects / Science Investments / Stream Impacts from Water Withdrawals in the Marcellus Shale Region
Current Research (2015)
by Jean Brennan — published Feb 19, 2015 — last modified Feb 20, 2015 08:59 AM
Links to relevant conservation research:
Located in News & Events / … / Upload New Events / Brook Trout and Stream Temperature Workshop Information
Data Access
by Jean Brennan — published Dec 01, 2015 — last modified Jun 21, 2016 10:22 AM
Phase I of this project involved an inventory of flow models and the underlying, or potential, data sources from instream monitoring networks.
Located in Projects / Science Investments / Stream Impacts from Water Withdrawals in the Marcellus Shale Region
File ECMAScript program Detecting Temporal Trends in Freshwater Fisheries Surveys: Statistical Power and the Important Linkages between Management Questions and Monitoring Objectives
by Jean Brennan — published Feb 20, 2015
by T.Wagner et al., ABSTRACT: Monitoring to detect temporal trends in biological and habitat indices is a critical component of fisheries management. Thus, it is important that management objectives are linked to monitoring objectives. This linkage requires a definition of what constitutes a management-relevant “temporal trend.” It is also important to develop expectations for the amount of time required to detect a trend (i.e., statistical power) and for choosing an appropriate statistical model for analysis. We provide an overview of temporal trends commonly encountered in fisheries management, review published studies that evaluated statistical power of long-term trend detection, and illustrate dynamic linear models in a Bayesian context, as an additional analytical approach focused on shorter term change. We show that monitoring programs generally have low statistical power for detecting linear temporal trends and argue that often management should be focused on different definitions of trends, some of which can be better addressed by alternative analytical approaches.
Located in News & Events / … / Brook Trout and Stream Temperature Workshop Information / Resource Materials: Reprints