Risk Analysis and Bioeconomics of Invasive Species to Inform Policy and Management

Annual Review of Environment and Resources - Tập 41 Số 1 - Trang 453-488 - 2016
David M. Lodge1,2, Paul W. Simonin2, Stanley W. Burgiel3, Reuben P. Keller4, Jonathan M. Bossenbroek5, Christopher L. Jerde6, Andrew M. Kramer7, Edward S. Rutherford8, Matthew A. Barnes9, Marion E. Wittmann6, W. Lindsay Chadderton10, Jenny L. Apriesnig11, Dmitry Beletsky12, Roger Cooke13, John M. Drake7, Scott P. Egan14, David Finnoff15, Crysta A. Gantz16, Erin K. Grey17, Michael H. Hoff18, Jennifer G. Howeth19, Richard N. Bergman20, Eric R. Larson21, Nicholas E. Mandrak22, Doran M. Mason8, Félix Martínez23, Tammy J. Newcomb24, John D. Rothlisberger25, Andrew J. Tucker10, Travis Warziniack26, Hongyan Zhang12
1Atkinson Center for a Sustainable Future, Cornell University, Ithaca, New York 14853;
2Environmental Change Initiative, University of Notre Dame, South Bend, Indiana 46617;
3Secretariat, National Invasive Species Council, Washington, DC 20240;
4Institute of Environmental Sustainability, Loyola University Chicago, Illinois 60201;
5Department of Environmental Sciences and Lake Erie Center, University of Toledo, Ohio 43606;
6Department of Biology, University of Nevada, Reno, Nevada 89503;,
7Odum School of Ecology, University of Georgia, Athens, Georgia 30602-2202;,
8Great Lakes Environmental Research Laboratory, National Oceanic and Atmospheric Administration, Ann Arbor, Michigan 48108;,
9Department of Natural Resources Management, Texas Tech University, Lubbock, Texas 79409;
10The Nature Conservancy, c/o Notre Dame Environmental Change Initiative, South Bend, Indiana 46617;,
11Department of Agricultural and Resource Economics, Colorado State University, Fort Collins, Colorado 80523;
12Cooperative Institute for Limnology and Ecosystems Research, School of Natural Resources and Environment, University of Michigan, Ann Arbor, Michigan 48108;,
13Resources for the Future, Washington, DC, 20036
14Department of BioSciences, Rice University, Houston, Texas 77005;
15Department of Economics and Finance, University of Wyoming, Laramie, Wyoming 82071;
16Department of Biological Sciences, University of Notre Dame, Indiana 46556.
17Division of Chemistry and Biological Sciences, Governors State University, University Park, Illinois 60484;
18Fish and Aquatic Conservation, US Fish and Wildlife Service, Bloomington, Minnesota 55437;
19Department of Biological Sciences, University of Alabama, Tuscaloosa, Alabama 35487
20Department of Economics, University of Notre Dame, Notre Dame, Indiana, 46556
21Department of Natural Resources and Environmental Sciences, University of Illinois, Urbana, Illinois 61801;
22Department of Biological Sciences, University of Toronto, Scarborough, Ontario M1C 14A, Canada;
23National Centers for Coastal Ocean Science, National Oceanic and Atmospheric Administration, Ann Arbor, Michigan 48108;
24Michigan Department of Natural Resources, Lansing, Michigan 48909;
25US Forest Service, Washington, DC 20250;
26Rocky Mountain Research Station, US Forest Service, Fort Collins, Colorado 80526;

Tóm tắt

Risk analysis of species invasions links biology and economics, is increasingly mandated by international and national policies, and enables improved management of invasive species. Biological invasions proceed through a series of transition probabilities (i.e., introduction, establishment, spread, and impact), and each of these presents opportunities for management. Recent research advances have improved estimates of probability and associated uncertainty. Improvements have come from species-specific trait-based risk assessments (of estimates of introduction, establishment, spread, and impact probabilities, especially from pathways of commerce in living organisms), spatially explicit dispersal models (introduction and spread, especially from transportation pathways), and species distribution models (establishment, spread, and impact). Results of these forecasting models combined with improved and cheaper surveillance technologies and practices [e.g., environmental DNA (eDNA), drones, citizen science] enable more efficient management by focusing surveillance, prevention, eradication, and control efforts on the highest-risk species and locations. Bioeconomic models account for the interacting dynamics within and between ecological and economic systems, and allow decision makers to better understand the financial consequences of alternative management strategies. In general, recent research advances demonstrate that prevention is the policy with the greatest long-term net benefit.

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Annual Review of Environment and Resources

Tập 41 Số 1

453-488

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