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Modeling habitat of freshwater mussels (Bivalvia:Unionidae) in the lower Great Lakes 25 years after the Dreissena invasion

机译:淡水贻贝(Bivalvia:Unionidae)在Dreeissena入侵后25年的淡水贻贝(Bivalvia:Unionidae)造型栖息地

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Finding remnant populations of species that are of conservation concern can be difficult, particularly in aquatic habitats. Models of ecological niches can aid in the discovery of refuges. Remnant populations of native freshwater mussels (unionids) have been found in Lakes Erie and St Clair. Our goals were to predict undiscovered refuges in Lake Ontario based on habitat analysis from Lake Erie and to conduct surveys to test those predictions. We built a presence-only model on environmental data including attributes of the benthic zone and shoreline where mussels occurred in Lake Erie. We found a link between small- and large-scale variables related to unionid persistence. Bathymetry, fetch, and shoreline geomorphology contributed most to the model. These variables correspond to local-scale environmental factors important for unionid survival, including presence of vegetation and substrate composition, which explained similar to 22% of the variance in presence, abundance, and richness. The model predicted that 0.8% of the near-shore area of Lake Ontario should be habitat for unionids. In surveys at 34 locations on the USA shore of Lake Ontario, we found 1800 unionids of 11 species and showed that areas 500 m from predicted good habitat contained significantly more individuals than near-shore areas not identified as good habitat. We were able to predict new refuges in Lake Ontario successfully even though mussel assemblages differed between Lakes Erie and Ontario, a result signifying generality of our model for conservation approaches to freshwater mussels.
机译:寻找遗留物种的遗留群体,这些物种可能是困难的,特别是在水生栖息地。生态利基的模型可以帮助发现避难所。在湖伊利和圣克莱尔发现了土着淡水贻贝(Unionids)的残余群体。我们的目标是根据伊利湖的栖息地分析,预测安大略湖在安大略湖的未被发现的避难所,并进行调查以测试这些预测。我们在环境数据上建立了一个仅限于环境数据的模型,包括肉体区域和海岸线的属性,其中贻贝发生在伊利湖中。我们发现与UnionID持久性有关的小型和大规​​模变量之间的链接。沐浴般的,提取和海岸线地貌最为贡献到模型。这些变量对应于局部规模的环境因素,这对于植入生存期重要,包括存在植被和底物组合物,这解释了与存在,丰度和丰富度的差异的22%。该模型预测,安大略湖湖近岸地区的0.8%应该是危险的工会。在Antario湖的美国岸边的34个地点进行了调查,我们发现了11种的1800个联盟,并且距离预测的良好栖息地的区域且距离近岸地区没有被确定为良好栖息地的人数显着。即使湖泊Erie和安大略省之间的贻贝组合不同,我们能够成功地预测安大略湖在安大略湖的新避难所,这是我们对淡水贻贝的保护方法的普遍性的一致性。

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