Filters: Tags: maxent (X) > Extensions: Project (X)
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This project used species distribution modeling, population genetics, and geospatial analysis of historical vs. modern vertebrate populations to identify climate change refugia and population connectivity across the Sierra Nevada. It is hypothesized that climate change refugia will increase persistence and stability of populations and, as a result, maintain higher genetic diversity. This work helps managers assess the need to include connectivity and refugia in climate change adaptation strategies. Results help Sierra Nevada land managers allocate limited resources, aid future scenario assessment at landscape scales, and develop a performance measure for assessing resilience.
Categories: Data,
Project;
Tags: 2011,
2013,
CA,
California Landscape Conservation Cooperative,
Conservation Design,
This layer represents fundamentally suitable and unsuitable habitat for freshwater mussels in the Meramec Basin as modeled by these authors on May 17, 2017 based on spatial data ranging from 1990 to 2014. Identification of habitat characteristics associated with the presence of freshwater mussels is challenging but crucial for the conservation of this declining fauna. Most mussel species are found in multi-species assemblages suggesting that physical factors influence presence similarly across species. In lotic environments, geomorphic and hydraulic characteristics appear to be important factors for predicting mussel presence. We used maximum entropy (MaxEnt) modeling to evaluate hydrogeomorphic variables associated...
Categories: Data,
Data Release - In Progress,
Project;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: MaxEnt,
Meramec,
Missouri,
Ozark,
biota,
Most natural resource managers, planners and policy makers are now dependent upon spatially explicit environmental suitability and spatial allocation analyses to inform policy and management decisions. However, staff across agencies has been unable to stay current on understanding and applying these new data, tools and analyses. Currently, this information may be underutilized or used inappropriately, which could result in poor decisions. Two training curricula were developed – one for managers and one for GIS analysts – on current best practices for developing and using spatial information to support conservation decision making. The training materials are open-source and widely distributed to California LCC stakeholders.
Categories: Data,
Project;
Tags: 2012,
CA,
CA-wide,
California,
California Landscape Conservation Cooperative,
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