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This data set shows the grasslands priority conservation areas (GPCAs) within North America’s Central Grasslands, an ecosystem considered among the most threatened in the continent and the world. GPCAs are defined as areas of tri-national importance due to their ecological significance and threatened nature, which are in need of international cooperation for their successful conservation. The 59 GPCAs were identified by biodiversity experts through research and a workshop co-organized by the Commission for Environmental Cooperation (CEC) and the Nature Conservancy in 2004 and Rocky Mountain Bird Observatory in 2010. This is an amended version of the 2007 data set.
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To determine if invasive annual grasses increased around energy developments after the construction phase, we calculated an invasives index using Landsat TM and ETM+ imagery for a 34-year time period (1985-2018) and assessed trends for 1,755 wind turbines (from the U.S. Wind Turbine Database) installed between 1988 and 2013 in the southern California desert. The index uses the maximum normalized difference vegetation index (NDVI) for early season greenness (January-June), and mean NDVI (July-October) for the later dry season. We estimated the relative cover of invasive annuals each year at turbine locations and control sites and tested for changes before and after each turbine was installed. These data were used...
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This shapefile describes the outputs from the application of a decision support tool (Rohweder and others 2015) used to assist the Northern Missouri Private Lands Program make thoughtful and strategic choices about where to spend its limited management resources. It incorporates landscape and management unit features to help prioritize management on 17 oak savanna and open woodland restoration and enhancement project areas. The private lands program and other stakeholders can use this information to prioritize and target management. This shapefile contains the relevant input criteria attributes used in the development of station objective models.
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These heatmaps show a top 3 stressor or service, as ranked by participants, and the concentration of participants who reported as working in each municipality or county who also voted for that stressor or service across the landscape. This map shows the percentage of participants from each county and municipality who ranked Lehmman Lovegrass as a top 3 ecosystem stressor in the Grassland Invasive Plant category in their region. Symbology represents the percentage of participants with 0% = dark green, 0.0001 % - 24.99% = light green, 25% - 49.99% = yellow, 50% - 74.99% = orange, 75% - 100% = red. All counties and municipalities identified by participants as areas where they work were given a tally for each of the...
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These heatmaps show a top 3 stressor or service, as ranked by participants, and the concentration of participants who reported as working in each municipality or county who also voted for that stressor or service across the landscape. This map shows the percentage of participants from each county and municipality who ranked Soil Degradation and Salinization as a top 3 ecosystem stressor in the Grassland Ecosystem Function category in their region. Symbology represents the percentage of participants with 0% = dark green, 0.0001 % - 24.99% = light green, 25% - 49.99% = yellow, 50% - 74.99% = orange, 75% - 100% = red. All counties and municipalities identified by participants as areas where they work were given a tally...
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These heatmaps show a top 3 stressor or service, as ranked by participants, and the concentration of participants who reported as working in each municipality or county who also voted for that stressor or service across the landscape. This map shows the percentage of participants from each county and municipality who ranked Feral Hogs (Sus scrofa) as a top 3 ecosystem stressor in the Grassland Invasive Animal category in their region. Symbology represents the percentage of participants with 0% = dark green, 0.0001 % - 24.99% = light green, 25% - 49.99% = yellow, 50% - 74.99% = orange, 75% - 100% = red. All counties and municipalities identified by participants as areas where they work were given a tally for each...
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These heatmaps show a top 3 stressor or service, as ranked by participants, and the concentration of participants who reported as working in each municipality or county who also voted for that stressor or service across the landscape.


    map background search result map search result map North America Grassland PCAs 2010 Data supporting Landsat time series assessment of invasive annual grasses following energy development Grasslands - Habitat Fragmentation and Loss Stressor - Unsustainable Grazing Grasslands - Ecosystem Functionality Stressors - Soil Degradation and Salinization Grasslands - Invasive Animal Stressors - Feral Hogs (Sus Scrofa) Grasslands - Invasive and Problematic (Native and non-native) Plant Stressors - Lehmann Lovegrass (Eragrostis lehmanniana) Application of a Decision Support Tool for Prioritizing Restoration of Private Land Units within a Joint Northern Missouri Focal Area - derived spatial data Application of a Decision Support Tool for Prioritizing Restoration of Private Land Units within a Joint Northern Missouri Focal Area - derived spatial data Data supporting Landsat time series assessment of invasive annual grasses following energy development Grasslands - Invasive Animal Stressors - Feral Hogs (Sus Scrofa) Grasslands - Invasive and Problematic (Native and non-native) Plant Stressors - Lehmann Lovegrass (Eragrostis lehmanniana) Grasslands - Habitat Fragmentation and Loss Stressor - Unsustainable Grazing Grasslands - Ecosystem Functionality Stressors - Soil Degradation and Salinization North America Grassland PCAs 2010