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The Exotic (EXO) and Native (NAT) biodiversity features represent exotic and native plant species communities in the Georgia Basin. These features (or rasters) were created following similar methods as Schuster & Arcese (2013), wherein they modelled and mapped bird species distributions using presence-absence data from ebird (http://ebird.org/content/ebird/about/; Sullivan et al. 2009). Plant species occurrence data were drawn from several sources (Boag 2014; Dr. E Gonzales; Dr. Joe Bennett; E-Flora BC 2013). Data for the 20 most abundant native and exotic plant species (40 species total) identified by Bennett (2014) were used to map the NAT and EXO communities, respectively (species list can be found in Appendix...
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The Establishment Potential Surface for Ips typographus was produced in the State of Alaska conterminous in 1 square kilometer (km2) units by the U.S. Forest Service, Forest Health Technology Enterprise Teams (FHTET) Invasive Species Program.
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The Establishment Potential Surface for Sirex noctilio was produced for the conterminous United States in 1 square kilometer (km2) units by the U.S. Forest Service, Forest Health Technology Enterprise Teams (FHTET) Invasive Species Steering Committee. The products intended use in conjunction with the Introduction Potential Surface is to develop a Susceptibility Potential Surface for Sirex noctilio. Four primary datasets with standardized values from 0 to 10 were used as variables in the analysis. Each dataset was multiplied by its arithmetic weight and the resultant values were combined in a weighted overlay (Eastman 1999). The final Establishment Potential Surface output values also range from 0 to 10; with 10...
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This map shows risk models for invasive species within the ecoregion. Samples of invasive species are presenting -- falling within 4 categories (exotic, annual grasses, noxious forbs, and woody riparian). Bioclimate data for cheatgrass and tamarisk weed is also shown. The input dataset used for all analysis done for these models are also included. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics...
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This map shows risk models for invasive species within the ecoregion. Samples of invasive species are presenting -- falling within 4 categories (exotic, annual grasses, noxious forbs, and woody riparian). Bioclimate data for cheatgrass and tamarisk weed is also shown. The input dataset used for all analysis done for these models are also included. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics...
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This dataset provides early estimates of 2021 exotic annual grasses (EAG) fractional cover predicted on May 3rd. We develop and release EAG fractional cover map with an emphasis on cheatgrass (Bromus tectrorum) but it also includes number of other species, i.e., Bromus arvensis L., Bromus briziformis, Bromus catharticus Vahl, Bromus commutatus, Bromus diandrus, Bromus hordeaceus L., Bromus japonicus, Bromus madritensis L., Bromus racemosus, Bromus rubens L., Bromus secalinus L., Bromus texensis (Shear) Hitchc., and medusahead (Taeniatherum caput-medusae. The dataset was generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory, and Monitoring data (AIM) plots; Harmonized...
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These datasets provide early estimates of 2022 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a bi-weekly basis from May to early July. The EAG estimates are developed within one week of the latest satellite observation used for that version. Each bi-weekly release contains four fractional cover maps along with their corresponding confidence maps for: 1) a group of 16 species of EAGs, 2) cheatgrass (Bromus tectorum); 3) medusahead (Taeniatherum caput-medusae); and 4) Sandberg bluegrass (Poa secunda). These datasets were generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory, and Monitoring (AIM) data plots; Harmonized Landsat...
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The dryland ecosystems of the western United States have been invaded by exotic annual grasses, such as cheatgrass (Bromus tectorum L.), that has promoted increased fire activity and reduced biodiversity detrimental to socio-environmental systems. The use of remote sensing tools to monitor exotic annual grass cover and dynamics over large areas can support early detection and rapid response initiatives. This dataset was generated using in situ observations from Bureau of Land Management's (BLM) Assessment, Inventory, and Monitoring data (AIM) plots, weekly composites of harmonized Landsat and Sentinel-2 (HLS) data, relevant environmental, vegetation, remotely sensed, and geophysical factors and machine learning...
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The dataset provides a near real time estimation of 2020 herbaceous mostly annual fractional cover predicted on July 1st with an emphasis on annual exotic grasses Historically, similar maps were produced at a spatial resolution of 250m (Boyte et al. 2019 https://doi.org/10.5066/P96PVZIF., Boyte et al. 2018 https://doi.org/10.5066/P9RIV03D.), but starting this year we are mapping at a 30m resolution (Pastick et al. 2020 doi:10.3390/rs12040725). This dataset was generated using in situ observations from Bureau of Land Management’s (BLM) Assessment, Inventory, and Monitoring data (AIM) plots; weekly composites of harmonized Landsat and Sentinel-2 (HLS) data (https://hls.gsfc.nasa.gov/); relevant environmental, vegetation,...
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These datasets provide early estimates of 2021 fractional cover for exotic annual grass (EAG) species and a native perennial grass predicted on July 1 using satellite observation data available no later than June 28th. Four fractional cover maps comprise this release, along with the corresponding confidence maps, for: 1) a group of 17 species of EAGs (i.e., Bromus arvensis L., Bromus briziformis, Bromus catharticus Vahl, Bromus commutatus, Bromus diandrus, Bromus hordeaceus L., Bromus hordeaceus spp. hordeaceus, Bromus japonicus, Bromus madritensis L., Bromus madritensis L. ssp. rubens (L.) Duvin, Bromus L., Bromus racemosus, Bromus rubens L., Bromus secalinus L., Bromus tectorum L., Bromus texensis (Shear) Hitchc.,...
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These datasets provide early estimates of 2022 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a bi-weekly basis from May to early July. The EAG estimates are developed within one week of the latest satellite observation used for that version. Each bi-weekly release contains four fractional cover maps along with their corresponding confidence maps for: 1) a group of 16 species of EAGs, 2) cheatgrass (Bromus tectorum); 3) medusahead (Taeniatherum caput-medusae); and 4) Sandberg bluegrass (Poa secunda). These datasets were generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory, and Monitoring (AIM) data plots; Harmonized Landsat...
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The Susceptibility Potential Surface for Ips typographus was produced for the State of Alaska in 1 square kilometer (km2) units by the USDA Forest Service, Forest Health Technology Enterprise Team's (FHTET) Invasive Species Program. Supporting information for this product was taken from Exotic Forest Pest (ExFor) website http://spfnic.fs.fed.us/exfor/).
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These datasets provide historical (2016 – 2020) estimates of fractional cover for exotic annual grass (EAG) species and a native perennial bunch grass. The study area covers arid and semi-arid rangelands of the western U.S. Four fractional cover maps per year comprise this release, along with the corresponding confidence maps, for: 1) a group of 17 species of EAGs; 2) cheatgrass (Bromus tectrorum); 3) medusahead (Taeniatherum caput-medusae); and 4) Sandberg bluegrass (poa secunda). These datasets were generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory, and Monitoring (AIM) plots; remotely sensed data from the Harmonized Landsat and Sentinel-2 (HLS) product, i.e., Normalized...
The invasion paradox describes the co-occurrence of independent lines of support for both a negative and a positive relationship between native biodiversity and the invasions of exotic species. The paradox leaves the implications of native?exotic species richness relationships open to debate: Are rich native communities more or less susceptible to invasion by exotic species? We reviewed the considerable observational, experimental, and theoretical evidence describing the paradox and sought generalizations concerning where and why the paradox occurs, its implications for community ecology and assembly processes, and its relevance for restoration, management, and policy associated with species invasions. The crux...
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Locations of exotic (Invasive) plant species mapped by CBI on the Crestridge Ecological Reserve in 2000.
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The Establishment Potential Surface for Ips typographus was produced for the conterminous United States in 1 square kilometer (km2) units by the U.S. Forest Service (USFS), Forest Health Technology Enterprise Teams (FHTET) Invasive Species Steering Committee; a multidisciplinary team with participation from USFS and the USDA Animal and Plant Health Inspection Service (APHIS). Supporting information for this product was taken from Exotic Forest Pest (ExFor) website (http://spfnic.fs.fed.us/exfor/).
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These datasets provide early estimates of 2022 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a bi-weekly basis from May to early July. The EAG estimates are developed within one week of the latest satellite observation used for that version. Each bi-weekly release contains four fractional cover maps along with their corresponding confidence maps for: 1) a group of 16 species of EAGs, 2) cheatgrass (Bromus tectorum); 3) medusahead (Taeniatherum caput-medusae); and 4) Sandberg bluegrass (Poa secunda). These datasets were generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory, and Monitoring (AIM) data plots; Harmonized Landsat...
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The dataset provides an estimate of 2020 herbaceous mostly annual fractional cover predicted on May 1st with an emphasis on annual exotic grasses Historically, similar maps were produced at a spatial resolution of 250m (Boyte et al. 2019 https://doi.org/10.5066/P9ZEK5M1., Boyte et al. 2018 https://doi.org/10.5066/P9KSR9Z4.), but we are now mapping at a 30m resolution (Pastick et al. 2020 doi:10.3390/rs12040725). This dataset was generated using in situ observations from Bureau of Land Management’s (BLM) Assessment, Inventory, and Monitoring data (AIM) plots; weekly composites of harmonized Landsat and Sentinel-2 (HLS) data (https://hls.gsfc.nasa.gov/); relevant environmental, vegetation, remotely sensed, and geophysical...
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Locations of invasive plant species mapped by CBI on the Crestridge Ecological Reserve in 2010.
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The Exotic (EXO) and Native (NAT) biodiversity features represent exotic and native plant species communities in the Georgia Basin. These features (or rasters) were created following similar methods as Schuster & Arcese (2013), wherein they modelled and mapped bird species distributions using presence-absence data from ebird (http://ebird.org/content/ebird/about/; Sullivan et al. 2009). Plant species occurrence data were drawn from several sources (Boag 2014; Dr. E Gonzales; Dr. Joe Bennett; E-Flora BC 2013). Data for the 20 most abundant native and exotic plant species (40 species total) identified by Bennett (2014) were used to map the NAT and EXO communities, respectively (species list can be found in Appendix...


map background search result map search result map 2010 Invasive Plants (TBA), Crestridge Exotic Species Locations, Crestridge, San Diego Establishment Potential Surface for European Spruce Bark Beetle (Ips typographus) in the conterminous US Susceptibility Surface Model for European Spruce Bark Beetle (Ips typographus) in the State of Alaska Establishment Potential Surface for European Spruce Bark Beetle (Ips typographus) in the State of Alaska Establishment Potential Surface for woodwasp (Sirex noctilio) for the conterminous US Current Exotic Communities Exotic Communites, RCP 45 BLM REA CBR 2010 MBR Invasive Species BLM REA CBR MBR 2010 Invasive Species Early estimates of Annual Exotic Herbaceous Fractional Cover in the Sagebrush Ecosystem, USA, May 2020 Fractional estimates of exotic annual grass cover in dryland ecosystems of western United States (2016 – 2019) Near real time estimation of annual exotic herbaceous fractional cover in the sagebrush ecosystem 30m, USA, July 2020 Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, May 2021, v1 Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, July 2021, (ver 2.0, January 2022) Fractional Estimates of Multiple Exotic Annual Grass (EAG) Species and Sandberg bluegrass in the Sagebrush Biome, USA, 2016 - 2020 2. Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2022 (ver 3.0, May 18th, 2022) 3. Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2022 (ver 4.0, June 3rd, 2022) 5. Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2022 (ver 6.0, July 1st, 2022) 2010 Invasive Plants (TBA), Crestridge Exotic Species Locations, Crestridge, San Diego Current Exotic Communities Exotic Communites, RCP 45 Early estimates of Annual Exotic Herbaceous Fractional Cover in the Sagebrush Ecosystem, USA, May 2020 Near real time estimation of annual exotic herbaceous fractional cover in the sagebrush ecosystem 30m, USA, July 2020 BLM REA CBR MBR 2010 Invasive Species BLM REA CBR 2010 MBR Invasive Species Fractional estimates of exotic annual grass cover in dryland ecosystems of western United States (2016 – 2019) Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, May 2021, v1 Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, July 2021, (ver 2.0, January 2022) Fractional Estimates of Multiple Exotic Annual Grass (EAG) Species and Sandberg bluegrass in the Sagebrush Biome, USA, 2016 - 2020 2. Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2022 (ver 3.0, May 18th, 2022) 3. Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2022 (ver 4.0, June 3rd, 2022) 5. Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2022 (ver 6.0, July 1st, 2022) Establishment Potential Surface for European Spruce Bark Beetle (Ips typographus) in the conterminous US Establishment Potential Surface for woodwasp (Sirex noctilio) for the conterminous US Susceptibility Surface Model for European Spruce Bark Beetle (Ips typographus) in the State of Alaska Establishment Potential Surface for European Spruce Bark Beetle (Ips typographus) in the State of Alaska