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Is it possible to identify habitat for a rare species? Shortjaw Cisco (Coregonus zenithicus) in Lake Huron as a case study

机译:是否可以确定稀有物种的栖息地?以休伦湖为例的短爪思科(Coregonus zenithicus)

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The Government of Canada is considering a recommendation by the Committee on the Status of Endangered Wildlife in Canada to list shortjaw cisco (Coregonus zenithicus) as Threatened throughout its range under the Species At Risk Act (SARA). If the listing is approved, shortjaw cisco will receive legal protection, including protection for its critical habitat.' This study focused on habitat characteristics associated with specimens identified as shortjaw cisco collected with targeted sampling in Lake Huron of the Laurentian Great Lakes. Competing habitat-use models were developed using available data for three physical habitat variables: Water Depth, Substrate Slope, and Cliff Distance, and the models were evaluated using binary logistic regression and ranking of Akaike information criteria. For the habitat factors examined, Water Depth was the most important variable for explaining the observed distribution of identified shortjaw cisco, although this factor alone was not sufficient to adequately represent habitat for this taxonomically uncertain and rare animal. Future habitat discrimination for this hypothesized species at risk must be based on (a) reduction of taxonomic uncertainty, (b) expansion of sampling effort, and (c) consideration of additional physical and ecological habitat factors.
机译:加拿大政府正在考虑加拿大濒危野生动植物状况委员会的一项建议,即根据《濒危物种法》(SARA),在其整个范围内将短颚c(Coregonus zenithicus)列为受威胁物种。如果该清单获得批准,则短颚思科将获得法律保护,包括对其关键栖息地的保护。这项研究的重点是与在劳伦大湖的休伦湖进行的针对性采样所收集的标本为短颚思科的标本有关的栖息地特征。使用三个物理栖息地变量的可用数据开发了竞争性栖息地使用模型:水深,基质坡度和悬崖距离,并使用二元逻辑回归和Akaike信息标准排名对模型进行了评估。对于所研究的栖息地因素,水深是解释观察到的短颚思科发现的分布的最重要变量,尽管仅此因素不足以充分代表该分类学上不确定的稀有动物的栖息地。对该危险物种的未来生境歧视必须基于(a)减少分类学不确定性,(b)扩大采样工作,以及(c)考虑其他物理和生态生境因素。

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