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The United States Fish and Wildlife Service's (USFWS) Delta Boat Electrofishing Survey was designed to estimate spatial and temporal trends in abundance, occupancy, capture probabilities, and...
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The United States Fish and Wildlife Service Delta Juvenile Fish Monitoring Program (DJFMP) has monitored juvenile Chinook Salmon Oncorhynchus tshawytscha and other fish species within the San...
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Following their introduction, invasive species management is most successful and cost-effective when new invaders are detected while still rare. Given the low capture probability for extremely...
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This dataset contains the least-cost corridors produced by our habitat connectivity model for the coastal marten, as described below in greater detail: After developing the coastal marten...
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The following is an excerpt from the U.S. Fish and Wildlife Service species status assessment report for the coastal marten (Martes caurina), Version 2.0 (July 2018); refer to this report for...
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2018's Annual Data files have been uploaded as several digital holdings with data used to support the creation of the Centennial Valley Arctic Grayling Adaptive Management Project Annual Report...
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This data set consists of field data collected as part of the study to examine estimation of diamond-backed terrapins and commercial blue crap trapping. Data consists of metadata, CSV, and...
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This dataset contains an alternative representation of the least-cost corridors produced by our habitat connectivity model for the coastal marten, where a Maximum Cost-Weighted Corridor Distance...
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We derived the habitat cores using a tool within Gnarly Landscape Utilities called Core Mapper (Shirk and McRae 2015). To develop a Habitat Surface for input into Core Mapper, we started by...
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This dataset contains additional "small" habitat cores that had a minimum size of 1 female marten home range (300ha), but were too small to meet the minimum size threshold of 5 female home ranges...
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2016's Annual Data files have been uploaded as several digital holdings with data used to support the creation of the Centennial Valley Arctic Grayling Adaptive Management Project Annual Report...
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The resistance surface that formed the basis of our coastal marten connectivity model is comprised of several data layers that represent forested and non-forested land cover, waterbodies, rivers,...
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The resistance surface that formed the basis of our coastal marten connectivity model is comprised of several data layers that represent forested and non-forested land cover, waterbodies, rivers,...
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The Central Valley Project Improvement Act (CVPIA) funds habitat improvement work and associated monitoring in the Central Valley of California to increase salmonid populations in furtherance of...
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Lehnen, S. E., Sternberg, M. A., Swarts, H. M., & Sesnie, S. E. 2021. Evaluating population connectivity and targeting conservation action for an endangered cat. Ecosphere, 12(2)....
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This Movement Cost Surface (raster) is an intermediary modeling product that was produced by the Linkage Mapper tool (McRae and Kavanagh 2011) in the process of developing Least-Cost Paths (LCPs)...
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2020's Annual Data files have been uploaded as several digital holdings with data used to support the creation of the Centennial Valley Arctic Grayling Adaptive Management Project Annual Report...
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This dataset is a polygonal representation of the least-cost corridors produced by our habitat connectivity model for the coastal marten. This polygonal representation was derived from the full...
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This dataset contains the least-cost paths produced by our habitat connectivity model for the coastal marten, as described below in greater detail: After developing the coastal marten landscape...
Search relevance: 1.00 | Views last month: 9 | Catalog Last Checked: June 26, 2026 at 03:43 AM -
2019's Annual Data files have been uploaded as several digital holdings with data used to support the creation of the Centennial Valley Arctic Grayling Adaptive Management Project Annual Report...
Search relevance: 1.00 | Views last month: 8 | Catalog Last Checked: June 26, 2026 at 03:44 AM
