Filters: Tags: Invasive species (X) > Date Range: {"choice":"year"} (X) > Extensions: Shapefile (X)
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Observations and subtle shifts of vegetation communities in western Lake Erie have USGS researchers concerned about the potential for Grass Carp to alter these vegetation communities. Broad-scale surveys of vegetation using remote sensing and GIS mapping, coupled with on-the-ground samples in key locations will permit assessment of the effect Grass Carp may have already had on aquatic vegetation communities and establish baseline conditions for assessing future effects. Existing aerial imagery was used with object-based image analysis to detect and map aquatic vegetation in the western basin of Lake Erie.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Asian Carp,
Emergent Vegetation,
Erie County,
Grass Carp,
Great Lakes,
These heatmaps show a top 3 invasive and problematic plant stressor for riparian areas in the Chihuahuan Desert, as ranked by participants, and the concentration of participants who reported as working in each municipality or county who also voted for that stressor across the landscape. 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 top 3 stressors that participants chose. Counties with a small number of participants were not adjusted for small sample size. These results were...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Academics & scientific researchers,
BIOSPHERE,
BIOSPHERE,
COMMUNITY DYNAMICS,
COMMUNITY DYNAMICS,
These heatmaps show a top 3 invasive animal stressor for riparian areas in the Chihuahuan Desert, as ranked by participants, and the concentration of participants who reported as working in each municipality or county who also voted for that stressor across the landscape. 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 top 3 stressors that participants chose. Counties with a small number of participants were not adjusted for small sample size. These results were shared via a...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Academics & scientific researchers,
BIOSPHERE,
BIOSPHERE,
COMMUNITY DYNAMICS,
COMMUNITY DYNAMICS,
These heatmaps show a top 3 invasive animal stressor for grasslands in the Chihuahuan Desert, as ranked by participants, and the concentration of participants who reported as working in each municipality or county who also voted for that stressor across the landscape. 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 top 3 stressors that participants chose. Counties with a small number of participants were not adjusted for small sample size. These results were shared via a webinar...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Academics & scientific researchers,
BIOSPHERE,
BIOSPHERE,
COMMUNITY DYNAMICS,
COMMUNITY DYNAMICS,
These heatmaps show a top 3 invasive and problematic plant stressor for montane areas in the Chihuahuan Desert, as ranked by participants, and the concentration of participants who reported as working in each municipality or county who also voted for that stressor across the landscape. 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 top 3 stressors that participants chose. Counties with a small number of participants were not adjusted for small sample size. These results were...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Academics & scientific researchers,
BIOSPHERE,
BIOSPHERE,
BIOSPHERE,
BIOSPHERE,
These heatmaps show a top 3 invasive and problematic plant stressor for grasslands in the Chihuahuan Desert, as ranked by participants, and the concentration of participants who reported as working in each municipality or county who also voted for that stressor across the landscape. 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 top 3 stressors that participants chose. Counties with a small number of participants were not adjusted for small sample size. These results were shared...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Academics & scientific researchers,
BIOSPHERE,
BIOSPHERE,
COMMUNITY DYNAMICS,
COMMUNITY DYNAMICS,
These heatmaps show a top 3 invasive animal stressor for montane areas in the Chihuahuan Desert, as ranked by participants, and the concentration of participants who reported as working in each municipality or county who also voted for that stressor across the landscape. 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 top 3 stressors that participants chose. Counties with a small number of participants were not adjusted for small sample size. These results were shared via a...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Academics & scientific researchers,
BIOSPHERE,
BIOSPHERE,
BIOSPHERE,
BIOSPHERE,
Vegetation transformations after wildfires are a growing issue for forest and shrubland managers in the Inland Pacific Northwest. Severe fires combined with persistent drought and invasive species can slow or prevent the recovery of burned forests and shrublands to their pre-fire states, resulting in ecological, economic, and cultural losses. Forests may be converted to shrub fields or grasslands, and shrublands may be replaced by invasive grasses. While shrublands and grasslands can be important components of these ecosystems, there is growing concern about the increased extent of these vegetation types on the landscape. Despite the severe post-fire vegetation transformations, little is known about where, when,...
Categories: Data,
Project;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: 2023,
Annual Grass Invasion,
CASC,
Drought, Fire and Extreme Weather,
Drought, Fire and Extreme Weather,
Problem: The Great Lakes Restoration Initiative (GLRI) was established to accelerate ecosystem restoration in the Great Lakes by confronting the most serious treats to the region, such as nonpoint source pollution, toxic sediments, and invasive species. Much of the effort associated with GLRI is being placed near the most impacted areas in the Great Lakes Basin. Priority Watersheds have been targeted by the Regional Working Group’s Phosphorus Reduction Work Group. These Priority Watersheds (Fox/Green Bay, Saginaw, Genessee, and Maumee) are characterized by having a high density of agricultural land use and have ecosystem impairments that have been clearly identified. The outlet of each of the Priority Watersheds...
Observations and subtle shifts of vegetation communities in Lake Erie have USGS researchers concerned about the potential for Grass Carp to alter these vegetation communities. Broad-scale surveys of vegetation using remote sensing and GIS mapping, coupled with on-the-ground samples in key locations will permit assessment of the effect Grass Carp may have already had on aquatic vegetation communities and establish baseline conditions for assessing future effects. Existing aerial imagery was used with object-based image analysis to detect and map aquatic vegetation in the eastern basin of Lake Erie.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Ashtabula County,
Asian Carp,
Chautauqua County,
Cuyahoga County,
Emergent Vegetation,
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