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Validation of freshwater mussel life-history strategies: A database and multivariate analysis of freshwater mussel life-history traits
Aquatic Conservation: Marine and Freshwater Ecosystems ( IF 2.4 ) Pub Date : 2021-09-09 , DOI: 10.1002/aqc.3713
Adrian P. Moore 1 , Nika Galic 2 , Richard A. Brain 2 , Daniel J. Hornbach 3 , Valery E. Forbes 1
Affiliation  

  1. Freshwater mussels are among the most critically endangered taxa globally. In the United States, 91 out of nearly 300 species are listed as Threatened or Endangered under the Endangered Species Act.
  2. Freshwater mussel species exhibit a range of life-history traits. Owing to the large number of North American species, the rarity of many listed species and the often limited data available for those species, it can be difficult to gather all of the information necessary to develop ecological risk assessments and effective management plans for freshwater mussel species.
  3. The primary objective of this study was to categorize North American freshwater mussel species into life-history categories to aid in the identification of representative species for risk assessment.
  4. To achieve these objectives, a literature review was conducted to identify available life-history data for a large range of mussel species. Using this dataset, two ordinations were performed, non-metric multidimensional scaling and discriminant analysis, to classify mussel species into previously described life-history categories. Both analyses facilitated species classification into life-history categories.
  5. Significant data gaps in basic life-history information still exist for many species, but previously described life-history categories were found to be robust and additional analysis allowed quantitative classification of additional species.


中文翻译:

淡水贻贝生活史策略的验证:淡水贻贝生活史特征的数据库和多变量分析

  1. 淡水贻贝是全球最濒危的类群之一。在美国,根据《濒危物种法》,近 300 种物种中有 91 种被列为受威胁或濒危物种。
  2. 淡水贻贝物种表现出一系列生活史特征。由于北美物种数量众多、许多列入清单的物种稀有且这些物种的可用数据通常有限,因此可能难以收集为淡水贻贝物种制定生态风险评估和有效管理计划所需的所有信息.
  3. 本研究的主要目的是将北美淡水贻贝物种分为生活史类别,以帮助确定代表性物种进行风险评估。
  4. 为实现这些目标,进行了文献综述以确定大量贻贝物种的可用生活史数据。使用此数据集,执行了两个排序,非度量多维缩放和判别分析,将贻贝物种分类为先前描述的生活史类别。两种分析都有助于将物种分类为生活史类别。
  5. 许多物种的基本生活史信息仍然存在显着的数据差距,但发现先前描述的生活史类别是可靠的,额外的分析允许对其他物种进行定量分类。
更新日期:2021-09-09
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