Early detection monitoring for aquatic non-indigenous species: Optimizing surveillance, incorporating advanced technologies, and identifying research needs.

Autor: Trebitz AS; U.S. Environmental Protection Agency, National Health and Environmental Effects Laboratory, Duluth, MN, 55804, USA. Electronic address: trebitz.anett@epa.gov., Hoffman JC; U.S. Environmental Protection Agency, National Health and Environmental Effects Laboratory, Duluth, MN, 55804, USA. Electronic address: Hoffman.joel@epa.gov., Darling JA; U.S. Environmental Protection Agency, National Exposure Research Laboratory, Durham, NC, 27713, USA. Electronic address: darling.john@epa.gov., Pilgrim EM; U.S. Environmental Protection Agency, National Exposure Research Laboratory, Cincinnati, OH, 45268, USA. Electronic address: pilgrim.erik@epa.gov., Kelly JR; U.S. Environmental Protection Agency, National Health and Environmental Effects Laboratory, Duluth, MN, 55804, USA. Electronic address: jackrussellkelly@gmail.com., Brown EA; Université du Québec à Montréal, Montreal, Québec, H2L 2C4, Canada. Electronic address: emily.angharad@gmail.com., Chadderton WL; The Nature Conservancy, c/o Environmental Change Initiative, South Bend, IN, 46617, USA. Electronic address: lchadderton@TNC.org., Egan SP; Rice University, BioSciences Department, Houston, TX, 77005, USA. Electronic address: scott.p.egan@rice.edu., Grey EK; Governors State University, Division of Chemistry and Biological Sciences, University Park, IL, 60484, USA. Electronic address: erin.k.grey81@gmail.com., Hashsham SA; Engineering Research Center, Michigan State University, East Lansing, MI, 48823, USA. Electronic address: hashsham@egr.msu.edu., Klymus KE; University of Toledo, Great Lakes Genetics/Genomics Laboratory, Department of Environmental Sciences, Toledo, OH, 43606, USA. Electronic address: kklymus@usgs.gov., Mahon AR; Central Michigan University, Department of Biology, Institute for Great Lakes Research, Mount Pleasant, MI, 48859, USA. Electronic address: mahon2a@cmich.edu., Ram JL; Wayne State University, Department of Physiology, Detroit, MI, 48201, USA. Electronic address: jeffram@wayne.edu., Schultz MT; U.S. Army Corps of Engineers, Engineer Research and Development Center, Environmental Laboratory, Vicksburg, MS, 39180, USA. Electronic address: Martin.T.Schultz@usace.army.mil., Stepien CA; National Oceanic and Atmospheric Administration, Pacific Marine Environmental Lab, Seattle, WA, 98115, USA. Electronic address: carol.stepien@noaa.gov., Schardt JC; U.S. Environmental Protection Agency, Great Lakes National Program Office, Chicago, IL, 60604, USA. Electronic address: schardt.james@epa.gov.
Jazyk: angličtina
Zdroj: Journal of environmental management [J Environ Manage] 2017 Nov 01; Vol. 202 (Pt 1), pp. 299-310. Date of Electronic Publication: 2017 Jul 22.
DOI: 10.1016/j.jenvman.2017.07.045
Abstrakt: Following decades of ecologic and economic impacts from a growing list of nonindigenous and invasive species, government and management entities are committing to systematic early- detection monitoring (EDM). This has reinvigorated investment in the science underpinning such monitoring, as well as the need to convey that science in practical terms to those tasked with EDM implementation. Using the context of nonindigenous species in the North American Great Lakes, this article summarizes the current scientific tools and knowledge - including limitations, research needs, and likely future developments - relevant to various aspects of planning and conducting comprehensive EDM. We begin with the scope of the effort, contrasting target-species with broad-spectrum monitoring, reviewing information to support prioritization based on species and locations, and exploring the challenge of moving beyond individual surveys towards a coordinated monitoring network. Next, we discuss survey design, including effort to expend and its allocation over space and time. A section on sample collection and analysis overviews the merits of collecting actual organisms versus shed DNA, reviews the capabilities and limitations of identification by morphology, DNA target markers, or DNA barcoding, and examines best practices for sample handling and data verification. We end with a section addressing the analysis of monitoring data, including methods to evaluate survey performance and characterize and communicate uncertainty. Although the body of science supporting EDM implementation is already substantial, research and information needs (many already actively being addressed) include: better data to support risk assessments that guide choice of taxa and locations to monitor; improved understanding of spatiotemporal scales for sample collection; further development of DNA target markers, reference barcodes, genomic workflows, and synergies between DNA-based and morphology-based taxonomy; and tools and information management systems for better evaluating and communicating survey outcomes and uncertainty.
(Published by Elsevier Ltd.)
Databáze: MEDLINE
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