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Filters: Tags: {"scheme":"https://www.sciencebase.gov/vocab/category/DLCC/DLCCLocation"} (X) > Categories: Project (X) > Categories: Data (X) > partyWithName: New Mexico Department of Game and Fish (X)

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Our approach will include sampling a wide range of habitats and environmental conditions throughout the middle and lower Pecos River basin, across an 18 month time-span to account for seasonal and phenological events. We will utilize a suite of univariate and multivariate statistical techniques to relate occurrence and density of golden alga to environmental factors and other co-occurring organisms. The proposed research will benefit managers of the Pecos River, of its associated reservoirs and unique habitats (sinkholes on the Bottomless Lakes State Park and Bitter Lakes National Wildlife Refuge), and of its resident aquatic biota by identifying specific water quality attributes that promote golden alga bloom development...
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A strong data foundation is needed to inform science-based decisions for fisheries management at a watershed level. In preparation for a shift towards comprehensive watershed-scale planning, Arizona Game and Fish Department (AGFD) is developing a fisheries data management system with an initial focus on compiling and formatting several hundred thousand fish survey and stocking records. Fish data will be integrated within a Geographic Information System (GIS) by georeferencing observations to an existing national spatial framework (National Hydrography Dataset), which will allow for broader transferability to watersheds shared with neighboring states, creating a seamless layer not limited by state boundaries. In...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2012, AZ-01, AZ-02, AZ-03, AZ-04, All tags...
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Freshwater fishes are globally among the most imperiled major biodiversity groups and they are especially endangered in the North American deserts of the vast binational Desert LCC. Sixty seven native fish species of conservation concern are in the study area, which includes all of the DLCC in both the US and Mexico. Essentially all species in our study area are understudied and management of them has been greatly impeded by the intrinsic difficulties of working internationally and by relative lack of, or inaccessibility to, basic knowledge about their distributions and conservation status. We propose to mine data from all online and known US-based institutions holding specimen-based occurrence records from our...
Categories: Data, Project; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: 2011, AZ-02, AZ-03, Academics & scientific researchers, Applications and Tools, All tags...
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Freshwater systems are critically imperiled and continue to be threatened by human encroachment and water development. The upper Gila River in New Mexico is one of the last unobstructed rivers in the Colorado River basin with a mostly intact native fish fauna, including two federally listed and one state-listed fish species. Kansas State University will develop methodologies or decision support tools to assess or evaluate current or existing resource management practices to learn and adapt to the effects of climate change on fish species. The researchers will investigate how the connectivity of the Gila River habitat impacts the fish population with respect to the behavior of native and non-native species.


    map background search result map search result map Fish Data Compilation and Climate Change Assessment for Desert LCC Fishes Resource Management in a Changing Climate: Understanding the Relationships between Water Quality and Golden Alga Distribution in the Pecos River, New Mexico and Texas Metacommunity Dynamics of Gila River Fishes A Landscape Approach for Fisheries Database Compilation and Predictive Modeling Metacommunity Dynamics of Gila River Fishes Resource Management in a Changing Climate: Understanding the Relationships between Water Quality and Golden Alga Distribution in the Pecos River, New Mexico and Texas A Landscape Approach for Fisheries Database Compilation and Predictive Modeling Fish Data Compilation and Climate Change Assessment for Desert LCC Fishes