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This project used species distribution modeling to assess the risk to habitat change under various climate change scenarios for rare plants. To predict the response of rare plant species to climate change, the project modeled the current distribution of the species using climate and environmental data (e.g., soils, disturbance, land-use), use these models to predict the species distribution given climate change, calculate current and future range size, calculate the amount of overlap of predicted future distribution with current distribution, and assess where barriers and protected areas are located with reference to the change in species distribution. Given the results of the distribution modeling, each species...
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Description of Work U.S. Geological Survey (USGS) will provide easily accessible, centrally located, USGS biological, water resources, geological, and geospatial datasets for Great Lakes basin restoration activities coordinated with GLOS. Managers, partners and the public will be able to readily access this information in usable interactive formats to help plan and implement restoration activities. Building tools and infrastructure to support standard data access, efficient data discovery and dynamic mapping of watersheds and their hydrologic properties. Developing decision support tools to enhance scientific investigation or disseminate project findings, for example integrating hydrologic models with real-time...
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Climate change threatens many wildlife species across the Pacific Northwest. As the climate continues to change, wildlife managers are faced with the ever-increasing challenge of allocating scarce resources to conserve at-risk species, and require more information to prioritize sites for conservation. However, climate change will affect species differently in different places. In fact, some places may serve as refuges for wildlife—places where animals can remain or to which they can easily move to escape the worst impacts of climate change. Currently, different datasets exist for identifying these resilient landscapes, known as climate refugia, but they are often not readily useable by wildlife managers. To address...
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FY2017This dataset provides a near-real-time estimate of 2017 herbaceous annual cover with an emphasis on annual grass (Boyte and Wylie. 2016. Near-real-time cheatrass percent cover in the Northern Great Basin, USA, 2015. Rangelands 38:278-284.) This estimate was based on remotely sensed enhanced Moderate Resolution Imaging Spectroradiometer (eMODIS) Normalized Difference Vegetation Index (NDVI) data gathered through June 19, 2017. This is the second iteration of an early estimate of herbaceous annual cover for 2017 over the same geographic area. The previous dataset used eMODIS NDVI data gathered through May 1 (https://doi.org/10.5066/F7445JZ9). The pixel values for this most recent estimate ranged from 0 to100%...
The California Invasive Plant Council (Cal-IPC) developed a “risk mapping” approach that combines comprehensive distribution maps with maps of current and future suitable range to show where each (invasive) species is likely to spread. The distribution maps are based on a new dataset created through a major campaign to collect expert opinion data from local resource managers across the state. From this dataset, Cal-IPC recently completed risk maps and management recommendations for 43 invasive plant species in the Sierra Nevada. The proposed project will build an online tool for these data. The tool will allow natural resource managers to generate risk maps and summary statistics for areas they select, and to determine...
Categories: Data, Project; Tags: 2010, 2012, 2013, Applications and Tools, CA, All tags...
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Description of Work U.S. Geological Survey (USGS) will use remote sensing data to establish a baseline understanding of current distributions of invasive wetland plants and then forecast potential invasion corridors. Alterations to the Great Lakes shoreline or water-level patterns associated with global climate change could have significant impacts on the extent and composition of coastal habitat. Low lake levels can expose fertile wetland bottomlands to invasive species such as common reed ( Phragmites). Goals & Objectives Goals: Identify current Phragmites distribution in the Great Lakes coastal zone, detect potential areas vulnerable to invasion due to influences such as altered water levels, nutrient and...
    map background search result map search result map Assessing and Mapping Rare Plant Species Vulnerability to Climate Change Enabling Discovery and Access to USGS Great Lakes Scientific Data Through Web-Based Applications Forecasting Potential Phragmites Coastal Invasion Corridors Near-real-time Herbaceous Annual Cover in the Great Basin Climate Refugia and Resilience Atlas: Identifying Priority Areas for Conserving Species of Concern in a Changing Climate Assessing and Mapping Rare Plant Species Vulnerability to Climate Change Climate Refugia and Resilience Atlas: Identifying Priority Areas for Conserving Species of Concern in a Changing Climate Enabling Discovery and Access to USGS Great Lakes Scientific Data Through Web-Based Applications Forecasting Potential Phragmites Coastal Invasion Corridors Near-real-time Herbaceous Annual Cover in the Great Basin