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Risk assessments of animal species, plant species, and disease in the United States available online between 1990 and 2023

Metadata Updated: July 20, 2024

Risk assessments describe the risk of a species’ invasion in a location, and many risk assessments have been produced by different institutions for various reasons. However, information is sporadically located online, increasing the difficulty of developing comprehensive lists of species with risk assessments or comparing assessment results across species in locations of interest. Therefore, we aggregated species risk assessments by searching information systems and conducting a literature review. The methods for data aggregation are explained in the larger work citation (Dean et al. 2024). The present dataset documents risk assessments available at different spatial scales (e.g., territory, state, region, nation) for over 7,000 species including (but not limited to) fishes, mammals, reptiles, amphibians, birds, mollusks, crustaceans, insects, plants, algae, and fungi. The dataset was used to help develop SIREN, a national Early Detection and Rapid Response Information System (https://www.usgs.gov/centers/fort-collins-science-center/science/siren-national-early-detection-and-rapid-response). It is important to note that most sources of risk assessments were available when collected in 2023; therefore, it is possible that the risk assessments detailed in the dataset may be removed online for one reason or another since 2023 (e.g., Grisé 2011). Additionally, some sources of risk assessments no longer exist but were described in a summary report or in an information system (e.g., Invasive Species Centre; https://www.invasivespeciescentre.ca/invasive-species/what-is-at-risk/invasive-species-risk-assessment/) in 2023; consequently, a user of the data may need to contact the original source of risk assessments to receive additional information (e.g., NatureServe). Summary reference citations: Dean, E.M., Jordon, A., Agnew, A.C., Hernandez, N.D., Morningstar, C.R., Neilson, M., Piccolomini, S.E., Reichert, B., Wray, A.K., and Daniel, W.M., 2024, America’s Most Wanted Fishes—Cataloging risk assessments to prioritize invasive species for management action: Management of Biological Invasions, v. 15, no. 1, p. 1–20, https://doi.org/10.3391/mbi.2024.15.1.01. Grisé, S., 2011, Evaluating the risk of non-native aquatic species range expansions in a changing climate in Pennsylvania: Shippensburg, Pennsylvania, Shippensburg University, Ph.D. dissertation.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Dates

Metadata Created Date July 20, 2024
Metadata Updated Date July 20, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date July 20, 2024
Metadata Updated Date July 20, 2024
Publisher U.S. Geological Survey
Maintainer
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Identifier USGS:6606b921d34e64ff15499b87
Data Last Modified 20240514
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 77efd963-a356-448b-b972-429fa0cdc31e
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -178.5938,15.2842,-63.9844,71.35
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash b8fbcec5ea5e182c27452bf878988a7d287bfa24b6f8769dc7ef97a76a0e97d3
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -178.5938, 15.2842, -178.5938, 71.35, -63.9844, 71.35, -63.9844, 15.2842, -178.5938, 15.2842}

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