Validation of freshwater mussel life-history strategies: A database and multivariate analysis of freshwater mussel life-history traits

被引:13
|
作者
Moore, Adrian P. [1 ]
Galic, Nika [2 ]
Brain, Richard A. [2 ]
Hornbach, Daniel J. [3 ]
Forbes, Valery E. [1 ]
机构
[1] Univ Minnesota, Ecol Evolut & Behav, 1479 Gartner Ave, St Paul, MN 55108 USA
[2] Syngenta Crop Protect LLC, Greensboro, NC USA
[3] Macalester Coll, Environm Studies, St Paul, MN 55105 USA
关键词
discriminant analysis; life history; multidimensional scaling; ordination; representative species; unionids; PESTICIDE RISK-ASSESSMENT; EXTINCTION RISK; R-SELECTION; FISH; FECUNDITY; PREDICT; GROWTH; SHELL; DIVERSITY; LONGEVITY;
D O I
10.1002/aqc.3713
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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. 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. 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. 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. 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.
引用
收藏
页码:3386 / 3402
页数:17
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