Early Detection and Rapid Response (EDRR) to Nonnative Wildlife in South Florida
Vol. 2019 No. 2, Wildlife Ecology and Conservation
Vol. 2019 No. 2

Early Detection and Rapid Response (EDRR) to Nonnative Wildlife in South Florida: WEC-409/UW454, 4/2019

Wildlife Ecology and Conservation
https://doi.org/10.32473/edis-uw454-2019
Published 2019-04-30
Justin Dalaba
University of Florida Fort Lauderdale Research and Education Center
Frank Mazzotti
University of Florida Fort Lauderdale Research and Education Center
photo of a squatting scientist grasping and holding up a Burmese python behind the head
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PDF-2019

Supplementary Files

Figure 1. Accumulation Curve
Figure 2. Invasion Curve
Figure 3. EDRR Conceptual Model
Figure 4. Sacred Ibis
Figure 5. Nile Crocodile

Keywords

Early Detection and Rapid Response
non-native wildlife
Everglades
introduced species
invasive species

How to Cite

Dalaba, Justin, and Frank Mazzotti. 2019. “Early Detection and Rapid Response (EDRR) to Nonnative Wildlife in South Florida: WEC-409 UW454, 4 2019”. EDIS 2019 (2). Gainesville, FL. https://doi.org/10.32473/edis-uw454-2019.
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Abstract

Invasive nonnative wildlife threaten successful restoration of Everglades ecosystems in south Florida. If nothing is done while an invasion is in the beginning stages, populations can grow and become much more difficult to manage, as happened with the Burmese pythons. This 4-page fact sheet written by Justin R. Dalaba and Frank J. Mazzotti and published by the UF/IFAS Wildlife Ecology and Conservation Department explains how the Early Detection and Rapid Response method works and how to apply it to increase the likelihood that an invasion will be successfully contained or eradicated while an invasive population is still small and localized.
http://edis.ifas.ufl.edu/uw454

Accessibility Summary:

In accordance with Title II regulations this content meets all points of exemption as Archived web content and/or Preexisting conventional electronic documents.

https://doi.org/10.32473/edis-uw454-2019
view on EDIS
PDF-2019

References

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