The early detection of and rapid response (EDRR) to invasive species: a conceptual framework and federal capacities assessment
Overview & Synopsis
(Uploaded by Plazi for the IPBES Invasive Alien Species Assessment) Globalization necessitates that we address the negative externalities of international trade and transport, including biological invasion. The US government defines invasive species to mean, "with regard to a particular ecosystem, a non-native organism whose introduction causes, or is likely to cause, economic or environmental harm, or harm to human, animal, or plant health." Here we address the role of early detection of and rapid response to invasive species (EDRR) in minimizing the impact of invasive species on US interests. We provide a review of EDRR's usage as a federal policy and planning term, introduce a new conceptual framework for EDRR, and assess US federal capacities for enacting well-coordinated EDRR. Developing a national EDRR program is a worthwhile goal; our assessment nonetheless indicates that the federal government and its partners need to overcome substantial conceptual, institutional, and operational challenges that include establishing clear and consistent terminology use, strategically identifying and communicating agency functions, improving interagency budgeting, facilitating the application of emerging technologies and other resources to support EDRR, and making information relevant to EDRR preparedness and implementation more readily accessible. This paper is the first in a special issue of Biological Invasions that includes 12 complementary papers intended to inform the development and implementation of a national EDRR program. © 2019, The Author(s).
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Document Information
| Document Title | The early detection of and rapid response (EDRR) to invasive species: a conceptual framework and federal capacities assessment |
|---|---|
| Author / Organization | Reaser, Jamie K., Burgiel, Stanley W., Kirkey, Jason, Brantley, Kelsey A., Veatch, Sarah D., Burgos-Rodríguez, Jhoset |
| Subject & Discipline | Scientific Research & Data |
| Categories | Science & Mathematics |
| Publication Year | 2020 |
| License / Rights | Creative Commons Attribution 4.0 |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
Zenodo
(zenodo.org)
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| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-5128 |
| Original Source Link | Visit Source Page on zenodo.org » |