|
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...
Categories: Data;
Tags: Alaska, State of,
Aquatic Biology,
Botany,
Conterminous United States,
Contiguous United States, All tags...
Ecology,
Environmental Health,
Forestry,
Hawaii, State of,
Information Sciences,
USGS Science Data Catalog (SDC),
Wildlife Biology,
Wildlife Disease,
biocontrol,
degreeOfEstablishment,
establishmentMeans,
habitat,
intentional introduction,
introduced,
introduced species,
introduction date,
invasive,
invasive species,
taxonomy, Fewer tags
|
Note: this dataset has been superseded by this new data product: Simpson, A., Turner, R., Blake, R., Liebhold, A., and Dorado, M., 2021, United States Register of Introduced and Invasive Species: U.S. Geological Survey data release, https://doi.org/10.5066/P95XL09Q. Invasive species are a subset of non-native (or nonindigenous) species, and knowing what species are non-native to a region is a first step to managing invasive species. This is the second update to the dataset "First comprehensive list of non-native species established in three major regions of the United States" supporting a USGS Open File Report by the same name published on 2018-10-17. Version 3.0 of the non-native species list, as of 2020-09-15,...
Categories: Data,
Data Release - Revised;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alaska,
Aquatic Biology,
Botany,
Conterminous United States,
Ecology, All tags...
Environmental Health,
Forestry,
Hawaii,
Information Sciences,
Wildlife Biology,
Wildlife Disease,
introduced species,
invasive species,
inventory,
non-native species,
nonindigenous species,
species, Fewer tags
|
The dataset catalogs and describes existing online, federally supported databases and tools dealing with various aspects of a potential national early detection and rapid response invasive species framework. Version 1.0 of this dataset (accessible as a download below, called "deprecated_EDDR databases and tools-20190325.zip") is supplementary material 2 and 3 to the manuscript, "Envisioning a national invasive species information framework" published as part of a special open source issue dealing with invasive species early detection and rapid response by the journal Biological Invasions, Volume 22, Issue 1, January 2020. Version 2.0 (accessible as a download below, called "EDDR databases and tools_V2-0_20200429.xlsx")...
Categories: Data,
Data Release - Revised;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: USGS Science Data Catalog (SDC),
United States of America,
biomonitoring,
databases,
environmental monitoring, All tags...
introduced species,
invasive species,
management tools,
risk assessment tools,
surveillance (monitoring),
warning services,
warning systems, Fewer tags
|
THIS IS A HISTORICAL RECORD. As of December 17, 2021, the BISON application will no longer be available online and has been replaced by https://www.gbif.us. The BISON APIs are still available at https://bison.usgs.gov/#api and the Integrated Publishing Toolkit is still available at https://bison.usgs.gov/ipt. The USGS Biodiversity Information Serving Our Nation (BISON) project is an online all-species mapping information system consisting of a large collection of species occurrence datasets (e.g., plants and animals) found in the United States, U.S. Territories, U.S. marine Exclusive Economic Zones (EEZ), and Canada, with relevant geospatial layers. Species occurrences are records of organisms at a particular...
Categories: Data;
Types: Citation;
Tags: Alabama,
Alaska,
Alberta,
American Samoa,
Arizona, All tags...
Arkansas,
Biodiversity,
BiologicalData,
British Columbia,
California,
Colorado,
Connecticut,
Delaware,
District of Columbia,
Florida,
Georgia,
Guam,
Hawaii,
Idaho,
Illinois,
Indiana,
Iowa,
Kansas,
Kentucky,
Lentic,
Lotic,
Louisiana,
Maine,
Manitoba,
Maryland,
Massachusetts,
Michigan,
Minnesota,
Mississippi,
Missouri,
Montana,
NFHP Cooperator,
Nebraska,
Nevada,
New Brunswick,
New Hampshire,
New Jersey,
New Mexico,
New York,
Newfoundland,
NoVisual,
North Carolina,
North Dakota,
Northern Mariana Islands,
Northwest Territories,
Nova Scotia,
Ohio,
Oklahoma,
Ontario,
Oregon,
Pennsylvania,
Prince Edward Island,
Puerto Rico,
Quebec,
Rhode Island,
Saskatchewan,
South Carolina,
South Dakota,
Spatial Data,
Tennessee,
Texas,
U.S. Virgin Islands,
USGS Science Data Catalog (SDC),
Utah,
Vermont,
Virginia,
Washington,
West Virginia,
Wildlife Biology,
Wisconsin,
Wyoming,
Yukon,
biological collections,
biomonitoring,
endangered species,
endemic species,
indigenous species,
introduced species,
invasive species,
museum collections,
native species,
observation methods,
pollinators,
species,
specimens,
threatened species, Fewer tags
|
The Bureau of Land Management's National Invasive Species Information Management System (NISIMS) is designed to collect field data and store it in a standard database to allow for data sharing and reporting at the local, state and national levels. At this time, the system reports and tracks weed infestations only, Future versions of the system will report and track infestations by all taxa including weeds, birds, fish, and algae. The system also reports and tracks treatments of these invasive weed species infestations on public lands. The tools are based on the use of the BLM system of Enterprise Geographic Information System (EGIS) Architecture approved nationally in 2003. It also depends on the Geospatial Services...
|
View more...
|