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Found 2045 dataset(s) matching "Biological productivity".
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We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the...
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We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the...
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We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the...
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We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the...
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We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the...
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We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the...
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We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the...
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We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the...
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We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the...
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We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the...
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We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the...
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We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the...
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We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the...
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We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the...
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In 2010-2013, the U. S. Fish and Wildlife Service (USFWS) partnered with Utah State University to conduct invasive plant prioritization workshops and inventories on selected National Wildlife...
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Ecological Subsection mapping product for Bering Land Bridge National Preserve.
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In 2010-2013, the U. S. Fish and Wildlife Service (USFWS) partnered with Utah State University to conduct invasive plant prioritization workshops and inventories on selected National Wildlife...
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Annual monitoring of tagged Fraser fir trees on four mountain tops- Clingmans Dome, Balsam Mountain Road, Mt Sterling, and Mt LeConte- for density of non-native balsam woolly adelgid, cone...
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The USGS Shoreline Management Tool (SMT), An ArcMap Tool for Analyzing Water Depth, Inundated Area, Volume, and Selected Habitats was used to determine the spatial availability of different water...
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Prioritization of chemicals was performed on two Areas of Concerns in the Great Lakes An integrated risk surveillance and monitoring approach was applied Bio-effect prediction methodologies were...
