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File ECMAScript program A Map of Virginia Wild Brook Trout Patches
The map provides a visual depiction of the distribution of Virginia's wild Brook Trout patches.
Located in Science and Data / / EBTJV State Maps and Resources / State Maps of Wild Brook Trout Patch Distribution
File ECMAScript program A Map of West Virginia Wild Brook Trout Patches
The map provides a visual depiction of the distribution of West Virginia's wild Brook Trout patches.
Located in Science and Data / / EBTJV State Maps and Resources / State Maps of Wild Brook Trout Patch Distribution
File Octet Stream A new species of Myxobolus (Myxozoa: Bivalvulida) infecting the medulla oblongata and nerve cord of brook trout Salvelinus fontinalis in southern Appalachia (New River, NC, USA)
Myxobolus neurofontinalis n. sp. infects the brain and medulla oblongata of brook trout (Salvelinus fontinalis [Mitchill, 1814]) in the New River, western NC. It is the first species of Myxobolus described from the brook trout and resembles another congener (Myxobolus arcticus Pugachev and Khokhlov, 1979) that infects nerve tissue of chars (Salvelinus spp.). The new species differs from M. arcticus and all congeners bymyxospore dimensions and by having a mucous envelope and distinctive suturalmarkings. A phylogenetic analysis of the small subunit rDNA (18S) suggests that the new species shares a recent common ancestor with some isolates identified as M. arcticus and that the new species and its close relatives (except Myxobolus insidiosus Wyatt and Pratt, 1973) comprise a clade of salmonid nerve-infecting myxobolids. The phylogenetic analysis indicates that several isolates of “M. arcticus” (sensu lato) in GenBank are misidentified and distantly related to other isolates taken from the type host (Oncorhynchus nerka [Walbaum, 1792]) and from nearby the type locality (Kamchatka Peninsula, Russia). Serial histological sections of infected brook trout confirmed that myxospores of the new species are intercellular and infect nerve cord and medulla oblongata only. A single infected brook trout showed an inflammatory response characterized by focal lymphocytic infiltrates and eosinophilic granulocytes; however, the remaining 4 brook trout lacked evidence of a histopathological change or demonstrable host response. These results do not support the notion that this infection is pathogenic among brook trout.
Located in Science and Data / Brook Trout Related Publications
File application/x-troff-ms A Protocol for Collecting Environmental DNA Samples From Streams
Environmental DNA (eDNA) is DNA that has been released by an organism into its environment, such that the DNA can be found in air, water, or soil. In aquatic systems, eDNA has been shown to provide a sampling approach that is more sensitive for detecting target organisms faster, and less expensively than previous approaches. However, eDNA needs to be sampled in a manner that has been tested and found effective and, because single copies of target DNA are detected reliably, rigorous procedures must be designed to avoid sample contamination. Here we provide the details of a sampling protocol designed for detecting fish. This protocol, or very similar prototypes, has been used to collect data reported in multiple peer reviewed journal articles and from more than 5,000 additional samples at the time of publication. This process has been shown to be exceedingly sensitive and no case of field contamination has been detected. Over time, we have refined the process to make it more convenient. Our policy at the National Genomics Center for Wildlife and Fish Conservation is to provide collaborators with kits that contain all of the materials necessary to properly collect and store eDNA samples. Although the instructions in this protocol assume that the collaborator will have this same equipment, we also describe how users can create their own kit, and where we think there is flexibility in the equipment used.
Located in Science and Data / Brook Trout Related Publications
File A regional neural network ensemble for predicting mean daily river water temperature
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 Science and Data / Brook Trout Related Publications
Aaron Run (MD) - Mitigating Acid Mine Drainage Improves pH Levels in Run
Waterbody Improved: water flowing through abandoned coal mines contributed acid mine drainage (AMD) to Maryland’s Aaron Run, causing the stream’s pH level to fail to meet the state’s water quality standard for pH. As a result, the Maryland Department of the Environment (MDE) added Aaron Run to Maryland’s 2004 Clean Water Act (CWA) section 303(d) list of impaired waters for low pH. Watershed partners implemented numerous AMD mitigation projects, and pH levels increased. Aaron Run now meets the state water quality standard for pH and supports a population of brook trout. As a result, MDE has proposed removing Aaron Run from the state’s list of impaired waters for pH impairment in 2014.
Located in News & Events / News Inbox
File Acid Mine Drainage and Effects on Fish Health and Ecology: A Review
Acid rock drainage (ARD) is produced by the oxidation of sulfide minerals, chiefly iron pyrite or iron disulfide (FeS2). This is a natural chemical reaction which can proceed when minerals are exposed to air and water. Acidic drainage is found around the world both as a result of naturally occurring processes and activities associated with land disturbances, such as highway construction and mining where acid-forming minerals are exposed at the surface of the earth. These acidic conditions can cause metals in geologic materials to dissolve, which can lead to impairment of water quality when acidic and used by terrestrial or aquatic organisms. metal laden discharges enter waters.
Located in Science and Data / Brook Trout Related Publications
File America’s Conservation Enhancement Act (S. 3051)
This document highlights important language in the portion of this federal legislation that relates to Fish Habitat Partnerships.
Located in Groups / / Conference Calls / 2020 Steering Committee Conference Call Summaries
File America’s Conservation Enhancement Act - Title II
This document contains the language found under in Title II of the America’s Conservation Enhancement Act, which pertains to the National Fish Habitat Conservation Through Partnerships portion of the Act.
Located in Groups / Steering Committee / America’s Conservation Enhancement Act
America’s Conservation Enhancement Act
Legislation passed by the 116th Congress, and signed into law during October 2021, which codifies the National Fish Habitat Partnership in Title II of the Act.
Located in Groups / Steering Committee