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0861 |aFs70-5/2022-057E-PDF
1001 |aHoward, Brett R., |eauthor.
24510|aEvaluation of methods for identification of early detection monitoring sites based on habitat suitability for invasive European green crab in the Salish Sea, British Columbia / |cBrett R. Howard, Katie S.P. Gale, Alexandra Davis, Devin A. Lyons, Claudio DiBacco, Emily Grason, P. Sean McDonald, Stephanie J. Green and Thomas W. Therriault.
264 1|aOttawa ON : |bCanadian Science Advisory Secretariat (CSAS), |cAugust 2022.
264 4|c©2022
300 |a1 online resource (vii, 54 pages) : |billustrations (chiefly colour).
336 |atext|btxt|2rdacontent
337 |acomputer|bc|2rdamedia
338 |aonline resource|bcr|2rdacarrier
4901 |aResearch document, |x1919-5044 ; |v2022/057
500 |aIssued also in French under title: Évaluation des méthodes de détermination des sites de surveillance en matière de détection précoce selon le caractère convenable des habitats pour le crabe vert, une espèce envahissante, dans la mer des Salish (Colombie-Britannique).
504 |aIncludes bibliographical references (pages 32-35).
5203 |a"The European Green Crab (EGC) is a high-risk global invader that can devastate coastal marine ecosystems by displacing native species, degrading and disturbing native habitats (including eelgrass), and altering food webs. EGC has recently been detected in the Canadian portion of the Salish Sea. As EGC continue to establish in the region, identifying locations on which to focus limited monitoring resources is an ongoing problem given the vast amount of coastal habitat that could be occupied by the species. A variety of methods can be used to identify highly suitable habitats for EGC at a range of spatial scales. However, none have been evaluated in the context of informing EGC management, nor for the Canadian portion of the Salish Sea. Here we evaluate five individual methods developed to assess habitat suitability for EGC (i.e., MaxEnt, stochastic gradient boosted linear and logistic regression models, a rapid site selection tool, and a qualitative site assessment and ranking tool) and five derived models generated by multiplying the outputs of these individual models. Each model relied on slightly different environmental and habitat input variables affecting EGC invasion success. Thus, rather than identifying a single preferred model, we used a multi-model ensemble approach to identify sites that are expected to be most suitable for the species. The ensemble approach likely increases predictive power by including both environmental and habitat characteristics when identifying priority sites for early detection/monitoring for EGC in the Canadian waters of the Salish Sea. Finally, we describe how the models evaluated here, alone or in combination, could be used to identify additional sites either within the Salish Sea or into new areas"--Abstract, page vii.
650 0|aCarcinus maenas|xHabitat|zSalish Sea (B.C. and Wash.)|xIdentification.
650 0|aCarcinus maenas|xDetection|zSalish Sea (B.C. and Wash.)
650 0|aNonindigenous aquatic pests|xDetection|zSalish Sea (B.C. and Wash.)
650 0|aCarcinus maenas|xMonitoring|zSalish Sea (B.C. and Wash.)
650 0|aNonindigenous aquatic pests|xMonitoring|zSalish Sea (B.C. and Wash.)
7102 |aCanadian Science Advisory Secretariat, |eissuing body.
7101 |aCanada. |bDepartment of Fisheries and Oceans. |bPacific Region, |eissuing body.
77508|tÉvaluation des méthodes de détermination des sites de surveillance en matière de détection précoce selon le caractère convenable des habitats pour le crabe vert, une espèce envahissante, dans la mer des Salish (Colombie-Britannique) / |w(CaOODSP)9.914121
830#0|aResearch document (Canadian Science Advisory Secretariat)|v2022/057.|w(CaOODSP)9.507396
85640|qPDF|s3.87 MB|uhttps://publications.gc.ca/collections/collection_2022/mpo-dfo/fs70-5/Fs70-5-2022-057-eng.pdf