Skip to main content
Advanced Search

Filters: Tags: Invasive (X)

101 results (36ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
This dataset indicates areas that invasive plants were removed in SW Portland, Oregon and the amounts that were removed. All work was performed by partners in the West Willamette Restoration Partnership (WWRP): http://wwrpcoordinator.wix.com/wwrp
thumbnail
Las especies invasoras de América del Sur, América Central y el Caribe (invasive species).
thumbnail
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...
thumbnail
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...
What are current conditions for important park natural resources? What are the critical data and knowledge gaps? What are some of the factors that are influencing park resource conditions? Natural Resource Condition Assessments (NRCAs) evaluate and report on the above for a subset of important natural resources in national park units (hereafter, parks). Focal study resources and indicators are selected on a park-by-park basis, guided by use of structured resource assessment and reporting frameworks. Considerations include park resource setting and enabling legislation (what are this park's most important natural resources?) and presently available data and expertise (what can be evaluated at this time?). In addition...
thumbnail
A Vision for the Chihuahuan Desert The Chihuahuan Desert, shared by two nations, is one of the most biologically rich desert ecoregions in the world, alive with large mammals, birds, reptiles and an unmatched diversity of cactus species. The desert’s rivers, streams and springs are considered to be of global significance, home to fish species found nowhere else on earth. Our vision is a Chihuahuan Desert where governments, local communities, non-governmental organizations, academic institutions, landowners, and other stakeholders are working together to ensure that the richness and diversity of wildlife, habitats, natural communities, and ecological processes of the Chihuahuan Desert are conserved and, where necessary,...
thumbnail
The National Forest Management Act (NFMA) of 1976 requires every national forest or grassland managed by the U.S. Forest Service to develop and maintain a Land and Resource Management Plan (often referred to as a forest plan). The forest plan is the principle long-range guidance document for each forest or grassland, providing direction for project and activity decision making. Forest plans articulate goals and objectives, the kinds of uses that are suitable for areas of a national forest, management standards and guidelines that apply to different kinds of activities, and the designation of special areas like Research Natural Areas. Forest plans are strategic in nature and do not compel any action or authorize...
thumbnail
Note: this data release has been superseded by version 2.0, available here: https://doi.org/10.5066/P9V54H5K We developed habitat suitability models for invasive plant species selected by Department of Interior land management agencies. We applied the modeling workflow developed in Young et al. 2020 to species not included in the original case studies. Our methodology balanced trade-offs between developing highly customized models for a few species versus fitting non-specific and generic models for numerous species. We developed a national library of environmental variables known to physiologically limit plant distributions and relied on human input based on natural history knowledge to further narrow the variable...
thumbnail
Las especies invasoras de América del Sur, América Central y el Caribe (invasive species).
thumbnail
This dataset represents survey points for the Asian clam (Corbicula fluminea ) surveyed by the National Parks Service, Aquatics Invasive Species Project in the Sonoran Desert ecoregion.
Introduced (non-native) species that become established may eventually become invasive, so tracking all introduced species provides a baseline for effective modeling of species trends and interactions, geospatially and temporally. The United States Register of Introduced and Invasive Species (US-RIIS) (ver. 2.0, November 2022, https://doi.org/10.5066/P9KFFTOD), as of 2022-10-23, is comprised of three lists, for the localities of Alaska (AK, with 545 records), Hawaii (HI, with 5,628 records), and the conterminous (or lower 48) United States (L48, with 8,527 records). Each includes introduced (non-native), established (reproducing) taxa that: are, or may become, invasive (harmful) in the locality; are not known to...
thumbnail
We developed habitat suitability models for invasive plant species selected by Department of Interior land management agencies. We applied the modeling workflow developed in Young et al. 2020 to species not included in the original case studies. Our methodology balanced trade-offs between developing highly customized models for a few species versus fitting non-specific and generic models for numerous species. We developed a national library of environmental variables known to physiologically limit plant distributions (Engelstad et al. 2022 Table S1: https://doi.org/10.1371/journal.pone.0263056) and relied on human input based on natural history knowledge to further narrow the variable set for each species before...
thumbnail
The LANDFIRE Program developed a rich suite of consistent spatial data sets for the entire United States. These spatial data sets were designed for very large landscape, regional and national applications. Two of these spatial layers are particularly unique and interesting, Departure and Uncharacteristic Vegetation. Departure is a metric that indicates how different the current composition and structure of vegetation is from estimated historical conditions. This metric is identical to Fire Regime Condition Class (FRCC) in LANDFIRE (V1.0), and is generally called FRCC in the fire literature (link to FRCC in LANDFIRE). A departure value is computed for each unique historical vegetation type (called Biophysical...
thumbnail
The Department of Defense's (DoD) Natural Resources Conservation Program (NR Program) provides policy, guidance, and oversight for management of natural resources on nearly 25 million acres of military land, air, and water resources. The NR Program's goal is to ensure continued access to realistic habitat conditions to support the military's combat readiness mission, while simultaneously working to ensure the long term sustainability of our country's priceless natural heritage. The NR Program 's primary responsibilities are to: Oversee development and implementation of natural resource-related policy, guidance , procedures, and metrics; Ensure Military Service compliance with legislative obligations Executive...
thumbnail
At the direction of the ACC, the 99th Civil Engineering Squadron, Natural and Cultural Resources Flight (99 CES/CEVN) has prepared an Integrated Natural Resource Management Plan (INRMP) to serve as a practical management guideline for the day-to-day operations and management of the natural resources on NAFB and NTTR. The INRMP incorporates natural resource management policies, available regulatory guidance documents, and current natural resource data for NAFB and NTTR to produce a practical guidance document that recognizes and respects the goals and objectives of the Nellis mission while conserving and sustaining the natural resources of both areas. To meet that end, the INRMP provides simple natural resource management...
thumbnail
This Integrated Natural Resources Management Plan (INRMP) is for Fort Bliss and the United States Department of the Army (U.S. Army) in accordance with the Sikes Act Improvement Act, Department of Defense (DoD) Instruction and Manual 4715.03 Natural Resources Conservation Program, U.S. Army Regulation 200-1, Environmental Protection and Enhancement, U.S. Army Strategy for the Environment: Sustain the Mission-Secure the Future. INRMP direction is by a recent series of Department of Defense and Department of the Army guidance memoranda on the Sikes Act and INRMPs. The purpose of this INRMP is to provide guidance for the implementation and management of natural resources on Fort Bliss during the 5-year period from...
thumbnail
Las especies invasoras de América del Sur, América Central y el Caribe (invasive species).
thumbnail
This dataset provides a near-real-time estimate of 2018 herbaceous annual cover with an emphasis on annual grass (Boyte and Wylie. 2016. Near-real-time cheatgrass 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 July 1, 2018. This is the second iteration of an early estimate of herbaceous annual cover for 2018 over the same geographic area. The previous dataset used eMODIS NDVI data gathered through May 1 (https://doi.org/10.5066/P9KSR9Z4). The pixel values for this most recent estimate ranged from 0 to100% with...
thumbnail
We developed habitat suitability models for three invasive plant species: stiltgrass (Microstegium vimineum), sericea lespedeza (Lespedeza cuneata), and privet (Ligustrum sinense). We applied the modeling workflow developed in Young et al. 2020, developing similar models for occurrence data, but also models trained using species locations with percent cover ≥10%, ≥25%, and ≥50%. We chose predictors from a national library of environmental variables known to physiologically limit plant distributions (Engelstad et al. 2022 Table S1) and relied on human input based on natural history knowledge to further narrow the variable set for each species before developing habitat suitability models. We developed models using...
thumbnail
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,...
map background search result map search result map Invasive Removal in SW Portland, OR by West Willamette Restoration Partnership Las especies invasoras de Jamaica (invasive species) Las especies invasoras de Argentina (invasive species) Las especies invasoras de Peru (invasive species) LANDFIRE Data Viewer Natural Resource Condition Assessments Department of Defense's (DoD) Natural Resources Conservation Program Ecoregion-Based Conservation in the Chihuahuan Desert United States Department of Agriculture Forest Service Southwestern Region Plan Revision Fort Bliss Integrated Natural Resources Management Plan Nellis Air Force Base Plan 126-4 Near-real-time Herbaceous Annual Cover in the Sagebrush Ecosystem, USA, July 2018 BLM REA SOD 2010 Asian Clam Occurrence Points (NISS) BLM REA CBR 2010 MBR Invasive Species BLM REA CBR MBR 2010 Invasive Species Near real time estimation of annual exotic herbaceous fractional cover in the sagebrush ecosystem 30m, USA, July 2020 INHABIT species potential distribution across the contiguous United States Data to create and evaluate distribution models for invasive species for different geographic extents Thresholded abundance models for three invasive plant species in the United States Invasive Removal in SW Portland, OR by West Willamette Restoration Partnership Fort Bliss Integrated Natural Resources Management Plan BLM REA SOD 2010 Asian Clam Occurrence Points (NISS) Nellis Air Force Base Plan 126-4 United States Department of Agriculture Forest Service Southwestern Region Plan Revision Ecoregion-Based Conservation in the Chihuahuan Desert Near-real-time Herbaceous Annual Cover in the Sagebrush Ecosystem, USA, July 2018 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 Department of Defense's (DoD) Natural Resources Conservation Program INHABIT species potential distribution across the contiguous United States Data to create and evaluate distribution models for invasive species for different geographic extents Thresholded abundance models for three invasive plant species in the United States LANDFIRE Data Viewer Natural Resource Condition Assessments Las especies invasoras de Jamaica (invasive species) Las especies invasoras de Peru (invasive species)