Filters: Tags: Fire (X) > partyWithName: Southern Rockies Landscape Conservation Cooperative (X) > Extensions: Project (X)

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Vulnerability of Riparian Obligate Species in the Rio Grande to the Interactive Effects of Fire, Hydrological Variation and Climate Change 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. Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2012, Applications and Tools, Decision Support, Desert Landscape Conservation Cooperative, EARTH SCIENCE > HUMAN DIMENSIONS > ENVIRONMENTAL IMPACTS > CONSERVATION, All tags... Federal resource managers, Fire, Fire, Invasive species, Invasive species, LCC, LCC Network Science Catalog, Map, Methodology/Protocol, NM-01, NM-02, NM-03, New Mexico, New Mexico, New Mexico, Population & Habitat Evaluation/Projection, Project, Rio Grande, Rio Grande, Riparian, Riparian, Riparian obligates, Riparian obligates, Transboundary Madrean Watersheds Pilot Area, United States, Vulnerability, Vulnerability, Vulnerability Assessment, Wetlands, Wetlands, biota, completed, Fewer tags Vulnerability of Riparian Obligate Species in the Rio Grande to the Interactive Effects of Fire, Hydrological Variation and Climate Change Modeling Woody Plant Regeneration and Debris Accumulation under Future Streamflow and Wildfire Scenarios in the SRLCC (Not listed in the LCC Science Catalog due to Desert LCC co-funding and catalog administering) We propose to identify future risk of wildlife population decline for species inhabiting the Rio Grande, New Mexico. Specifically, we will examine and quantify the interactive effect of fire and climate change on the presence and long-term persistence of native and nonnative species in residing within Rio Grande riparian and wetland habitats. We will build upon recent species vulnerability assessment work conducted for the Rio Grande and incorporate new data and model output regarding fire behavior under different climate scenarios. Predictions for future species distributions will be coupled with scores representing species adaptive capacity to quantify vulnerability to changing climate and disturbance regimes.... Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Applications and Tools, Conservation NGOs, Conservation Planning, Federal resource managers, GIS, All tags... GIS, LCC, Map, Middle Rio Grande, NM-01, NM-02, NM-03, New Mexico, New Mexico, Project, SRLCC, State agencies, Upper Rio Grande, Upper Rio Grande, Upper Rio Grande, Vulnerability Assessment, climate change, climate change, completed, decision support tools, decision support tools, fire, fire, native species, native species, non-native species, non-native species, riparian, riparian, riparian obligate species, riparian obligate species, species distribution, species distribution, vulnerability, vulnerability, wetlands, wetlands, Fewer tags Modeling Woody Plant Regeneration and Debris Accumulation under Future Streamflow and Wildfire Scenarios in the SRLCC 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... Informing Conservation Delivery, LCC, LCC, LCC Network Science Catalog, Middle Rio Grande, NM-01, NM-02, NM-02, NM-03, NM-03, New Mexico, Project, SRLCC, State agencies, Streamflows, Tribes, Upper Rio Grande, Upper Rio Grande, Upper Rio Grande, climate change, climate change, climate change, completed, cottonwood, cottonwood, cottonwood, debris, debris, debris, environment, fire, fire, population model, population model, population model, riparian, riparian, riparian, riparian obligates, riparian obligates, riparian obligates, vegetation, vegetation, vegetation, vulnerability, vulnerability, vulnerability, watershed management, watershed management, watershed management, wildlife, wildlife, woody vegetation, woody vegetation, woody vegetation, Fewer tags Modeling Woody Plant Regeneration and Debris Accumulation under Future Streamflow and Wildfire Scenarios in the DLCC Perennial streams in the Desert LCC support riparian trees such as cottonwood (Populus spp) and box elder (Acer negundo) that are critical components of habitat for riparian obligate birds and other wildlife species (Webb et al. 2007). Trees, snags, and fallen woody debris provide nesting and foraging sites for a variety of riparian animals (Bateman et al. 2008, Smith et al. 2012). Riparian trees require occasional floods to create space suitable for germination and are dependent on accessible groundwater for growth and survival (Lytle and Merritt 2004). Studies along the Middle Rio Grande in New Mexico have shown that rates of woody debris accumulation are also influenced by hydrology because floods physically... Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2012, Acer negundo, Applications and Tools, Decision Support, Desert Landscape Conservation Cooperative, All tags... EARTH SCIENCE > BIOSPHERE > VEGETATION > FOREST COMPOSITION/VEGETATION STRUCTURE, Federal resource managers, LCC, LCC Network Science Catalog, Middle Rio Grande, NM-01, NM-02, NM-03, New Mexico, Population & Habitat Evaluation/Projection, Populus spp, Project, Publication, R, Training/Outreach/Workshop, United States, Vulnerability Assessment, biota, boxelder, completed, cottonwood, debris, fire, population model, riparian, riparian obligates, vegetation, vulnerability, watershed management, wildlife, woody vegetation, Fewer tags Erosion and Sediment Analysis in the Upper Green River Basin Information on the sources of sediment production and amount is necessary to better understand the relationship between landscape-scale ecosystem drivers (fire, large-scale invasive species removal, recreation, oil and gas development, and grazing) and sediment loading in rivers, streams, and reservoirs. An improved understanding of the sources of sediment production and the contribution of each source to total sediment load would enable resource managers to better locate and design conservation strategies to reduce sediment loading, and improve water quality, native fish habitats, and upland vegetation cover.This project will conduct an erosion and sediment supply analysis in a portion of the Upper Green River... Categories: Data, Project; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: CO-03, Colorado, Data Acquisition and Development, Datasets/Database, Decision Support, All tags... Federal resource managers, Green River Basin, Green River Basin, LCC Network Science Catalog, Map, Native Fish, Project, SRLCC, Southern Rockies LCC, State agencies, Streamflows, Tribes, UT-01, Upper Green River Basin, Utah, WY-00, Wyoming, Wyoming, completed, ecosystem drivers, ecosystem drivers, erosion, erosion, erosion, fire, fire, fire, green river basin, invasive species removal, invasive species removal, invasive species removal, oil and gas development, oil and gas development, oil and gas development, recreation, recreation, recreation, sediment, sediment, sediment, sediment loading, sediment loading, sediment loading, upper green river basin, Fewer tags Linking Forest Landscape Management and Climate Change to the Conservation of Riparian Habitat in the Grand Canyon Northern Arizona University will study how forest treatment practices and climate change may impact water balance across the Kaibab Plateau and critical habitats in lower elevations of the Grand Canyon. The project will include use of a forest landscape simulation model to examine how fuel treatments and prescribed burning will affect the resilience of forest ecosystems. The project will also address whether those activities would benefit the conservation of downstream riparian habitat by mitigating anticipated changes in the stream flow and water quality.The model will assist managers in developing, adaptation strategies for the conservation of riparian habitats by testing a range of realistic fuel treatment and... Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AZ-01, Arizona, Arizona, Conservation NGOs, Decision Support, All tags... Federal resource managers, Grand Canyon, Grand Canyon, Informing Conservation Delivery, Kaibab Plateau, Kaibab Plateau, LCC, LCC Network Science Catalog, Project, SRLCC, Tribes, aquatic, aquatic, climate change, climate change, completed, fire, fire, forest restoration, forest restoration, fuel treatments, fuel treatments, prescribed fire, prescribed fire, riparian, riparian, riparian habitat, riparian habitat, simulation models, simulation models, stream flow, stream flow, water, water, water balance, water balance, water quality, water quality, Fewer tags