Filters: Tags: {"type":"ISO 19115 Topic Category"} (X) > partyWithName: Desert Landscape Conservation Cooperative (X) > partyWithName: Megan M Friggens (X)
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Future expected changes in climate and human activity threaten many riparian habitats, particularly in the southwestern U.S. Using Maximum Entropy (MaxEnt3.3.3) modeling, we characterized habitat relationships and generated spatial predictions of habitat suitability for the Lucy’s warbler (Oreothlypis luciae), the Southwestern willow flycatcher (Empidonaxtraillii extimus) and the Western yellow-billed cuckoo (Coccyzus americanus). Our goal was to provide site- and species-specific information that can be used by managers to identify areas for habitat conservation and/or restoration along the Rio Grande in New Mexico. We created models of suitable habitat for each species based on collection and survey samples and...
Categories: Data,
Publication;
Types: Citation;
Tags: EARTH SCIENCE > LAND SURFACE > LANDSCAPE,
LCC Network Science Catalog,
LCC Network Science Catalog,
Publication,
completed,
This project had two primary goals: 1) To develop a process for integrating data from multiple sources to improve predictions of climate impacts for wildlife species; and 2) To provide data on climate and related hydrological change, fire behavior under future climates, and species’ distributions for use by researchers and resource managers.We present within this report the process used to integrate species niche models, fire simulations, and vulnerability assessment methods and provide species’ reports that summarize the results of this work. Species niche model analysis provides information on species’ distributions under three climate scenarios and time periods. Niche model analysis allows us to estimate the...
We are providing geospatial data layers of climate, fire, biome and predicted species distributions for download at our project website. Links to presentations, data descriptions and zip files containing data layers can be found here. Over the next few months, we will continue to upload webinars and new training tutorials that demonstrate the application of these datasets to new questions and species. Climate and environmental data can readily be used to generate new models for additional species or other applications to describe habitats and future conditions within New Mexico. Initial fire model output is available as raster images and tabulated values that can be used in analyses of wildfire risk or hazardous...
The Grassland, Shrubland, Desert Program of the U.S. Forest Service, Rocky Mountain Research Station intends to evaluate the interactive effects of fire and climate change on the presence and long-term persistence of native and non-native species within Rio Grande riparian and wetland habitats of the Desert and Southern Rockies LCCs. Decision support tools and maps will be produced that will help resource managers identify conditions and locations where biodiversity will be most affected by future changes and identify needs with respect to species conservation and invasive species management.This project was co-funded by multiple Landscape Conservation Cooperatives: Desert LCC and the Southern Rockies LCC.
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