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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...
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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...
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Rivers in the SRLCC differ from one another in flow characteristics, levels of regulation, and vulnerability to wildfire; characteristics that will be influenced by climate change (Seager et al. 2007, Mortiz et al. 2012). An understanding of how changes in streamflow and wildfire frequency will affect structure of live and dead woody vegetation is needed to for managers assess the vulnerability of riparian obligate species to climate change. We are developing stochastic transition models for cottonwood trees and snags along the Middle Rio Grande by modifying Lytle and Merritts (2004) stage-structured cottonwood population model. By incorporating influences of flood and wildfire into stage transition rates, we can...
Categories: Data, Project; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Conservation NGOs, Cultural Resources, Decision Support, EARTH SCIENCE > LAND SURFACE > LANDSCAPE, Federal resource managers, All tags...
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Rocky Mountain Research Station scientists initiated a study in the 1990s on avian distribution and habitat associations within the Sky Islands. By re-measuring vegetation and bird populations following wildfires and applying climate change models, they will assess the singular and synergistic effects of climate change and wildfire and provide strategies for managing resilient forests and conserving the avian community structure. They will also continue and expand citizen science efforts to develop a long term avian monitoring plan, as well as simulation studies to provide optimal monitoring designs for avian species to detect changes from large-scale stressors.


    map background search result map search result map Modeling Woody Plant Regeneration and Debris Accumulation under Future Streamflow and Wildfire Scenarios in the SRLCC Assessing Large-Scale Effects of Wildfire and Climate Change on Avian Communities and Habitats in the Sky Islands, Arizona Final Report: Vulnerability of Riparian Obligate Species in the Rio Grande to the Interactive Effects of Fire, Hydrological Variation and Climate Change Maps and Data: Vulnerability of Riparian Obligate Species in the Rio Grande to the Interactive Effects of Fire, Hydrological Variation and Climate Change Assessing Large-Scale Effects of Wildfire and Climate Change on Avian Communities and Habitats in the Sky Islands, Arizona Modeling Woody Plant Regeneration and Debris Accumulation under Future Streamflow and Wildfire Scenarios in the SRLCC Final Report: Vulnerability of Riparian Obligate Species in the Rio Grande to the Interactive Effects of Fire, Hydrological Variation and Climate Change Maps and Data: Vulnerability of Riparian Obligate Species in the Rio Grande to the Interactive Effects of Fire, Hydrological Variation and Climate Change