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A combination of citizen science inventories and expert assessments will be used to collect critical baseline information on known spring and seep resources using the Spring Ecosystem Inventory and Assessment Protocols and adapting them as needed for the unique arid Sky Island ecosystems. The assessment will collect information on channel morphology, riparian and wetland vegetation, water quality, aquatic macroinvertebrates, and wildlife. This information will be combined with historic data from cooperating agencies (Pima County, Santa Cruz County, USFS, NPA, USGS, USFWS, BLM, and AGFD) in a regional, on-line database to provide a landscape level context for managing resources, which was previously unavailable due...
Categories: Data, Project; Types: ArcGIS REST Map Service, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2011, AZ-02, AZ-03, Arizona, Arizona, All tags...
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The importance of riparian ecosystems in semiarid and arid regions has generated interest in understanding processes that drive the distribution and abundance of dominant riparian plants. Changes in streamflow patterns downstream of dams have profoundly affected riparian vegetation composition and structure. For example, in the southwestern United States, flow regulation has contributed to the replacement of many riparian forests historically dominated by the native Populus fremontii (Fremont Cottonwood) and Salix gooddingii (Goodding’s Willow) by the exotic species Tamarix spp. (Salt Cedar). The proposed project will help guide reservoir release decision making to enhance downstream recruitment of native cottonwood...
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The Desert LCC identified the need for a Protected Areas spatial database that showed land ownership, management designations and conservation status for lands in the United States and Mexico. However, the existing Protected Areas database was found to be particularly prone to boundary and database errors that affected its potential use. This USGS project will develop a single, seamless, error-free Protected Areas dataset for the full geographic scope of the Desert LCC. This will involve acquiring numerous spatial layers from Federal, State, and NGO organizations which are responsible for administering and/or managing areas that have a designated protected status. Protected Area will be categorized as defined by...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2012, AZ-01, AZ-02, AZ-03, AZ-04, All tags...
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Explore climate change impacts on vegetation across the Desert and Southern Rockies LCCs using historical monitoring data collected from 23 sites across the Sonoran, Chihuahuan, Mojave and Colorado Plateau deserts for 30-50 years. This data will then be combined with ecosystem water balance model simulations to establish features of water availability critical for plant species response. Results will allow managers to identify species and communities at risk under future climate scenarios based on predicted changes in plant water availability. Due to the high variability in soils, incorporating a detailed understanding of soil water availability beyond bioclimatic envelope approaches in the desert Southwest is essential...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2012, AZ-02, AZ-03, AZ-04, Academics & scientific researchers, All tags...
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In the desert southwest biodiversity is facing a changing landscape due to human population growth, expansion of energy development, and from the persistent effects of climate change among other threats. The 2012 Desert LCC science needs document recognized the importance of modeling and predicting habitat area, fragmentation and corridor network connectivity for a broad range of wildlife taxa. Tools and methods from conservation planning are available to address some of these issues, but tools to evaluate the expected benefits of corridors in mitigating climate change effects are only in their infancy. This USGS project will use quantitative spatial analysis and principles from landscape ecology to determine where...
Categories: Data, Project; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: 2012, AZ-01, AZ-02, AZ-03, AZ-04, All tags...
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Riparian vegetation provides crucial habitat for wildlife and is a high conservation priority for land managers throughout the Southwest but a central scientific challenge is to generate quantitative predictions of how changes in water availability will affect the amount and quality of riparian wildlife habitat. Researchers will study areas that have long-term datasets available (i.e., hydrological, geomorphological, biological), that characterize a broad range of riparian conditions found in the Southwest. Building on recently developed models funded by the USGS National Climate Change and Wildlife Science Center (NCCWSC), this work will link various hydrologic, geomorphic and habitat models to better understand...


    map background search result map search result map Predicting Effects of Climate Change on Riparian Obligate Species in the Southwestern United States Springs and Seeps Inventory, Assessment, and Management Planning Project Impact of Ecosystem Water Balance on Desert Vegetation: Quantification of Historical Patterns and Projection under Climate Change Corridors, Climate Change, and Conservation Planning in the Desert Southwest Development of Protected Areas Digital Spatial Data for the Desert LCC Managing water and riparian habitats on the Bill Williams River with scientific benefit for other desert river systems Managing water and riparian habitats on the Bill Williams River with scientific benefit for other desert river systems Springs and Seeps Inventory, Assessment, and Management Planning Project Predicting Effects of Climate Change on Riparian Obligate Species in the Southwestern United States Development of Protected Areas Digital Spatial Data for the Desert LCC Corridors, Climate Change, and Conservation Planning in the Desert Southwest Impact of Ecosystem Water Balance on Desert Vegetation: Quantification of Historical Patterns and Projection under Climate Change