000	03247nam  2200469zi 4500
001	9.890932
003	CaOODSP
005	20221107172735
006	m     o  d f
007	cr cn|||||||||
008	200826t20202020oncab   ob   f000 0 eng d
020	|a9780660359014
040	|aCaOODSP|beng|erda|cCaOODSP
041	0 |aeng|beng|bfre
043	|an-cn-on|an-us-mi
086	1 |aFs97-6/3399E-PDF
100	1 |aMidwood, Jonathan D., |eauthor.
245	10|aDevelopment of a submerged aquatic vegetation model for the St. Clair and Detroit Rivers / |cby Jonathan D. Midwood.
264	1|a[Ottawa] : |bFisheries and Oceans Canada = Pêches et océans Canada, |c2020.
264	4|c©2020
300	|a1 online resource (v, 13 pages) : |bcolour illustrations, colour maps.
336	|atext|btxt|2rdacontent
337	|acomputer|bc|2rdamedia
338	|aonline resource|bcr|2rdacarrier
490	1 |aCanadian technical report of fisheries and aquatic sciences, |x1488-5379 ; |v3399
504	|aIncludes bibliographical references (pages 7-8).
520	3 |a"Submerged aquatic vegetation (SAV) is an important component in aquatic ecosystems, providing numerous ecosystem services including habitat for fishes throughout their life history. In the St. Clair and Detroit River Areas of Concern (AOC), accurate maps of the distribution and cover of SAV are important for assessing the distribution and condition of fish habitat within these AOC. To support these efforts, this report details the development of random forest models for SAV presence and percent cover. The final SAV presence and percent cover models included all three available environmental parameters: depth, velocity, and effective fetch. A unique dataset indicated that the best SAV presence model had an overall accuracy of over 93% (Kappa >0.85) while the best SAV percent cover model explained the most variance (>75%) and had the lowest root mean square error (19.3). The resulting models are now available to be applied spatially within these AOC and should prove useful in the assessment of the status of the fish and wildlife populations beneficial use impairment"--Abstract, page v.
546	|aIncludes abstracts in English and French.
650	0|aAquatic plants|zDetroit River (Mich. and Ont.)
650	0|aAquatic plants|zSaint Clair River (Mich. and Ont.)
650	0|aFishes|xHabitat|zDetroit River (Mich. and Ont.)
650	0|aFishes|xHabitat|zSaint Clair River (Mich. and Ont.)
650	6|aRandom forests.
650	6|aPlantes aquatiques|zDetroit, Rivière de (Mich. et Ont.)
650	6|aPlantes aquatiques|zSainte-Claire, Rivière (Mich. et Ont.)
650	6|aPoissons|xHabitat|zDetroit, Rivière du (Mich. et Ont.)
650	6|aPoissons|xHabitat|zSainte-Claire, Rivière (Mich. et Ont.)
650	6|aForêts d'arbres décisionnels.
710	1 |aCanada. |bDepartment of Fisheries and Oceans, |eissuing body.
710	2 |aGreat Lakes Laboratory for Fisheries and Aquatic Sciences, |eissuing body.
830	#0|aCanadian technical report of fisheries and aquatic sciences ;|v3399.|w(CaOODSP)9.504449
856	40|qPDF|s1.62 MB|uhttps://publications.gc.ca/collections/collection_2020/mpo-dfo/Fs97-6-3399-eng.pdf