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Folders: ROOT > ScienceBase Catalog > National and Regional Climate Adaptation Science Centers > Midwest CASC > FY 2019 Projects > Fish Habitat Restoration to Promote Adaptation: Resilience of Sport Fish in Lakes of the Upper Midwest ( Show direct descendants )

Location Folder Show Tree ROOT _ScienceBase Catalog __National and Regional Climate Adaptation Science Centers ___Midwest CASC ____FY 2019 Projects _____Fish Habitat Restoration to Promote Adaptation: Resilience of Sport Fish in Lakes of the Upper Midwest Approved DataSets Approved Products Filters Date Types (for Date Range) Extensions Citation (6) Types Citation (6) Map Service (2) OGC WFS Layer (2) OGC WMS Layer (2) OGC WMS Service (2) Contacts Midwest CASC Erin M. Schliep Gretchen J.A. Hansen Joshua S. North Gretchen Hansen More... Categories Publication (6) Data (3) Tag Types Theme (1) Place (1) Tag Schemes USGS Thesaurus (1) Common geographic areas (1) View Results as: JSON ATOM CSV Browse Folder

The Incredible HALK: Borrowing Data for Age Assignment Understanding age and growth are important for fisheries science and management; however, age data are not routinely collected for many populations. We propose and test a method of borrowing age–length data across increasingly broader spatiotemporal levels to create a hierarchical age–length key (HALK). We assessed this method by comparing growth and mortality metrics to those estimated from lake–year age–length keys ages using seven common freshwater fish species across the upper Midwestern United States. Levels used for data borrowing began most specifically by borrowing within lake across time and increased in breadth to include data within the Hydrologic Unit Code (HUC) 10 watershed, HUC8 watershed, Level III... Categories: Publication; Types: Citation 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 Accounting for spatiotemporal sampling variation in joint species distribution models Estimating relative abundance is critical for informing conservation and management efforts and for making inferences about the effects of environmental change on populations. Freshwater fisheries span large geographic regions, occupy diverse habitats and consist of varying species assemblages. Monitoring schemes used to sample these diverse populations often result in populations being sampled at different times and under different environmental conditions. Varying sampling conditions can bias estimates of abundance when compared across time, location and species, and properly accounting for these biases is critical for making inferences. We develop a joint species distribution model (JSDM) that accounts for varying... Categories: Publication; Types: Citation A Review of Data-Driven Discovery for Dynamic Systems Many real-world scientific processes are governed by complex non-linear dynamic systems that can be represented by differential equations. Recently, there has been an increased interest in learning, or discovering, the forms of the equations driving these complex non-linear dynamic systems using data-driven approaches. In this paper, we review the current literature on data-driven discovery for dynamic systems. We provide a categorisation to the different approaches for data-driven discovery and a unified mathematical framework to show the relationship between the approaches. Importantly, we discuss the role of statistics in the data-driven discovery field, describe a possible approach by which the problem can be... 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 Observations of 12 fish species from Minnesota Department of Natural Resources fish surveys of inland lakes between 1968-2022 The data comprise observations of 12 species of fish from Minnesota Department of Natural Resources (DNR) fish survey data. Surveys were conducted between 1968 & 2022 generally for the purposes of assessing fishery statuses in inland lakes. The species in these data represent only a subset of all species present in DNR surveys, and were selected for our study because of relevance to stakeholders and relative vulnerability to the gears used to survey the populations. Categories: Data; Tags: Minnesota, effects of climate change, freshwater ecosystems, inland fishery resources Approved Products Predicting responses to climate change using a joint species, spatially dependent physiologically guided abundance model Predicting the effects of warming temperatures on the abundance and distribution of organisms under future climate scenarios often requires extrapolating species–environment correlations to climatic conditions not currently experienced by a species, which can result in unrealistic predictions. For poikilotherms, incorporating species' thermal physiology to inform extrapolations under novel thermal conditions can result in more realistic predictions. Furthermore, models that incorporate species and spatial dependencies may improve predictions by capturing correlations present in ecological data that are not accounted for by predictor variables. Here, we present a joint species, spatially dependent physiologically... Categories: Publication; Types: Citation