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Daily surface temperature predictions for 185,549 U.S. lakes with associated observations and meteorological conditions (1980-2020) Daily lake surface temperatures estimates for 185,549 lakes across the contiguous United States from 1980 to 2020 generated using an entity-aware long short-term memory deep learning model. In-situ measurements used for model training and evaluation are from 12,227 lakes and are included as well as daily meteorological conditions and lake properties. Median per-lake estimated error found through cross validation on lakes with in-situ surface temperature observations was 1.24 °C. The generated dataset will be beneficial for a wide range of applications including estimations of thermal habitats and the impacts of climate change on inland lakes. Categories: Data; Tags: AL, AR, AZ, Alabama, Aquatic Biology, All tags... Arizona, Arkansas, CA, CO, CT, California, Colorado, Connecticut, DC, DE, Delaware, District of Columbia, Ecology, FL, Florida, GA, Georgia, Hydrology, IA, ID, IL, IN, Idaho, Illinois, Indiana, Iowa, KS, KY, Kansas, Kentucky, LA, Limnology, Louisiana, MA, MD, ME, MI, MN, MO, MS, MT, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, NC, ND, NE, NH, NJ, NM, NV, NY, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, OH, OK, OR, Ohio, Oklahoma, Oregon, PA, Pennsylvania, RI, Rhode Island, SC, SD, South Carolina, South Dakota, TN, TX, Tennessee, Texas, US, USGS Science Data Catalog (SDC), UT, United States, Utah, VA, VT, Vermont, Virginia, WA, WI, WV, WY, Washington, Water Quality, Water Resources, West Virginia, Wisconsin, Wyoming, climate change, deep learning, environment, inlandWaters, machine learning, modeling, reservoirs, surface temperature, temperate lakes, temperature, water, water resources, Fewer tags Data In Support Of Accounting For Spatio-Temporal Variation In Catachability In Joint Species Distribution Models Fish data on six species (black crappie (Pomoxis nigromaculatus), bluegill (Lepomis macrochirus), largemouth bass (Micropterus salmoides), northern pike (Esox lucius), walleye (Sander vitreus), and yellow perch (perca flavescens)) caught in gill nets and trap nets between 2000 and 2019 during Minnesota Department of Natural Resources (MNDNR) fisheries surveys done in the months of June through September. Fish catch and effort (number of nets set overnight) comes from over 1,000 Minnesota lakes. In addition to fisheries data, we included additional information concerning lake characteristics, predicted water temperature, and watershed land use. Lake area and maximum depth were obtained from MNDNR public databases.... Categories: Data, Publication; Types: Citation, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service Comparing models using air and water temperature to forecast an aquatic invasive species response to climate change Abstract (from Ecosphere): Understanding invasive species spread and projecting how distributions will respond to climate change is a central task for ecologists. Typically, current and projected air temperatures are used to forecast future distributions of invasive species based on climate matching in an ecological niche modeling approach. While this approach was originally developed for terrestrial species, it has also been widely applied to aquatic species even though aquatic species do not experience air temperatures directly. In the case of lakes, species respond to lake thermal regimes, which reflect the interaction of climate and lake attributes such as depth, size, and clarity. The result is that adjacent... Categories: Publication; Types: Citation Predicting climate change impacts on poikilotherms using physiologically guided species abundance models Poikilothermic animals comprise most species on Earth and are especially sensitive to changes in environmental temperatures. Species conservation in a changing climate relies upon predictions of species responses to future conditions, yet predicting species responses to climate change when temperatures exceed the bounds of observed data is fraught with challenges. We present a physiologically guided abundance (PGA) model that combines observations of species abundance and environmental conditions with laboratory-derived data on the physiological response of poikilotherms to temperature to predict species geographical distributions and abundance in response to climate change. The model incorporates uncertainty in... Categories: Publication; Types: Citation Evaluating How Changing Climate and Water Clarity Can Affect Restoration of Native Coregonine Fish in Midwestern Lakes Coregonines are a sub-family of freshwater fishes within the well-known Salmonidae family. In the upper midwestern U.S., these fishes have provided a key food source to Native Americans for millennia and immigrants for the last several centuries. Since the mid-20th century, however, their diversity and abundance has declined owing to several anthropogenic stressors including overfishing, declining quality of key habitat (e.g., dams, eutrophication), and negative interactions with invasive species. Managers of inland lakes in Minnesota and of the Great Lakes in Michigan, Ontario, and New York, and several U.S. Tribes have undertaken various efforts to restore coregonines, including cisco (Coregonus artedi). For example,... Categories: Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2021, CASC, Fish, Fish, Midwest, All tags... Midwest CASC, Projects by Region, Rivers, Streams and Lakes, Rivers, Streams and Lakes, Water, Coasts and Ice, Water, Coasts and Ice, Wildlife and Plants, Wildlife and Plants, Fewer tags It’s complicated and it depends: A review of the effects of ecosystem changes on Walleye and Yellow Perch Populations in North America Walleye (Sander vitreus) and Yellow Perch (Perca flavescens) are culturally, economically, and ecologically significant fish species in North America that are affected by drivers of global change. Here, we review and synthesize the published literature documenting the effects of ecosystem changes on Walleye and Yellow Perch. We focus on four drivers: climate (including temperature and precipitation), aquatic invasive species, land use and nutrient loading, and water clarity. We identified 1232 tests from 370 papers, split evenly between Walleye (N=613) and Yellow Perch (N=620). Climate was the most frequently studied driver (N=572) and growth/condition was the most frequently studied response (N=297). The most commonly... Categories: Publication; Types: Citation Climate Adaptation for Data-Limited Inland Fisheries Inland fisheries have tremendous cultural, economic, and subsistence value. However, climate change brings new stresses to land-locked fisheries that raise novel challenges for resource managers. One fundamental challenge in inland fisheries is how to best assess and manage data-limited fisheries when resources are finite and uncertainty is pervasive. To address this challenge, we will use quantitative models to examine whether indicators of fish population status commonly-measured by managers can serve as a “short-cut” to more data- and capacity-intensive approaches. Further, we will work and communicate directly with state and Tribal fisheries managers to better understand the challenges they face when making... Categories: Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2023, Adaptation, CASC, Fish, Fish, All tags... Fisheries, Midwest, Midwest CASC, Modeling, Projects by Region, Rivers, Streams and Lakes, Rivers, Streams and Lakes, Science Tools for Managers, Science Tools for Managers, State of the Science, State of the Science, Water, Coasts and Ice, Water, Coasts and Ice, Wildlife and Plants, Wildlife and Plants, Fewer tags Daily surface temperatures for 185,549 lakes in the conterminous United States estimated using deep learning (1980–2020) The dataset described here includes estimates of historical (1980–2020) daily surface water temperature, lake metadata, and daily weather conditions for lakes bigger than 4 ha in the conterminous United States (n = 185,549), and also in situ temperature observations for a subset of lakes (n = 12,227). Estimates were generated using a long short-term memory deep learning model and compared to existing process-based and linear regression models. Model training was optimized for prediction on unmonitored lakes through cross-validation that held out lakes to assess generalizability and estimate error. On the held-out lakes with in situ observations, median lake-specific error was 1.24°C, and the overall root mean squared... Categories: Publication; Types: Citation Data in Support of Predicting Climate Change Impacts on Poikilotherms Using Physiologically Guided Species Abundance Models Fish catch and effort data for three species caught in gill nets and trap nets between 1988 and 2019 as part of Minnesota Department of Natural Resources (MNDNR) fisheries surveys conducted during the summer and early fall are included from over 1,300 Minnesota lakes. The three fish species included are: bluegill (Lepomis marochirus) a warm-water adapted species, yellow perch (Perca flavescens) a cool-water adapted species, and cisco (Coregonus artedi) a cold-water adapted species. Additional data concerning lake characteristics and surrounding land cover were also included. Mean July lake surface temperature was calculated using simulated daily water temperatures. Watershed land use including agricultural, barren,... Categories: Data, Publication; Types: Citation, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ecological modeling, fisheries, freshwater fish, water temperature Walleye Fisheries: Bright Spots in a Changing Climate Habitat loss, pollution, species introductions, and overfishing have been impacting inland fisheries for decades. Climate change threatens to compound the factors that lead to fisheries decline. Walleye, an ecologically, economically and culturally important cool-water sportfish, have been declining in the Upper Great Lakes Region since the early 2000s. Yet while many inland walleye populations have declined, others have thrived, and some even appear to respond positively to warming temperatures in certain contexts (e.g. Honsey et al 2020). Rather than focusing on understanding walleye population declines, this project’s approach is to probe the factors that underlie successful, thriving fisheries. Focusing on ‘bright... Categories: Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2021, CASC, Fish, Fish, Indigenous Peoples, All tags... Indigenous Peoples, Midwest, Midwest CASC, Projects by Region, Science Tools for Managers, Science Tools for Managers, State of the Science, State of the Science, Water, Coasts and Ice, Wildlife and Plants, Wildlife and Plants, Fewer tags Code for Predicting climate change impacts on poikilotherms using physiologically guided species abundance models Climate change affects the abundance and distribution of species worldwide. Poikilothermic animals comprise most species on Earth and are extremely sensitive to changes in environmental temperatures. Predicting species responses to climate change when temperatures exceed the bounds of observed data is fraught with challenges. Here, we combine empirical observations of species abundance and environmental conditions across the landscape with laboratory-derived data on the physiological response of poikilotherms to changes in temperature to predict species geographical distributions and abundance in response to climate change. We show that predicted changes in distributions, local extinction, and abundance of cold,... Categories: Publication; Types: Citation, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service