00000000nam 2200000za 4500
0019.851888
003CaOODSP
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008180215s2018    oncd    ob   f000 0 eng d
020 |a978-0-660-25243-8
040 |aCaOODSP|beng
041 |aeng|bfre
043 |an-cn-on
0861 |aFs97-4/3152E-PDF
1001 |aReid, Scott, |d1971-
24510|aCan adaptive cluster sampling improve Ontario mussel species at risk monitoring? |h[electronic resource] / |cby Scott M. Reid, Anita LeBaron, and Todd J. Morris.
260 |aBurlington, ON : |bCentral and Arctic Region, Fisheries and Oceans Canada, |c2018.
300 |aiv, 16 p. : |bcharts.
4901 |aCanadian manuscript report of fisheries and aquatic sciences, |x1488-5387 ; |v3152
500 |aIssued by: Great Lakes Laboratory for Fisheries and Aquatic Sciences.
504 |aIncludes bibliographical references (p. 5-7).
5203 |a"Watershed inventories and population monitoring are essential components of efforts to conserve and recover freshwater mussel diversity. Since 2002, a quadrat-based sampling protocol has been used to monitor the status, distribution, and demographics of mussel species at risk in southern Ontario rivers. However, low population densities, typical of most mussel species at risk, limit the effectiveness of the current protocol to support monitoring objectives. In this study, simulation-based methods (computer program SAMPLE) were used to evaluate whether adaptive clustering sampling could improve single-species monitoring”--Abstract, p. iv.
546 |aIncludes pref. material and abstract in French.
69207|2gccst|aEndangered species
69207|2gccst|aMolluscs
69207|2gccst|aEnvironmental management
693 4|aFreshwater mussels
693 4|aSampling
7001 |aLeBaron, Anita.
7001 |aMorris, Todd James, |d1970-
7101 |aCanada. |bDepartment of Fisheries and Oceans. |bCentral and Arctic Region.
7102 |aGreat Lakes Laboratory for Fisheries and Aquatic Sciences.
830#0|aCanadian manuscript report of fisheries and aquatic sciences,|x1488-5387 ; |v3152.|w(CaOODSP)9.505211
85640|qPDF|s546 KB|uhttps://publications.gc.ca/collections/collection_2018/mpo-dfo/Fs97-4-3152-eng.pdf