Validation of freshwater mussel life‐history strategies: A database and multivariate analysis of freshwater mussel life‐history traits
Abstract
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.
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The trilateral life history model was originally developed from analysis of life history variation in fishes and later applied to other taxa including mussels.
“The trilateral life history model reflects trade-offs between juvenile survival, fecundity, and generation time (Figure 1A; Haag, 2012;Winemiller & Rose, 1992) and was originally developed from analysis of life history variation in fishes and later applied to other taxa including mussels (Haag, 2012;Moore et al., 2021).”
From Environmental gradients drive convergence in life history strategies among disparate but coevolved taxonomic groups (2025) · cites this paper as Moore et al., 2021
Cites
Life‐history correlates of extinction risk and recovery potential
Hutchings, J. A., Myers, R. A., García, V. B., Lucifora, L. O., & Kuparinen, A. (2012) · Ecological Applications · doi:10.1890/11-1313.1 · Cited by 234 · see citing works
Jarić, I., Lennox, R. J., Kalinkat, G., Cvijanović, G., & Radinger, J. (2019) · Global Change Biology · doi:10.1111/gcb.14518 · Cited by 79 · see citing works
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Atkinson, C. L., Franzen, A. J., Hopper, G. W., Lopez, J. W., Zbinden, Z. D., & Vaughn, C. C. (2025) · Ecology · doi:10.1002/ecy.70273 · Cited by 3 · see citing works
- Authors
- Moore, A. P., Galic, N., Brain, R. A., Hornbach, D. J., & Forbes, V. E.
- Affiliations
- University of Minnesota (US)
- Syngenta Crop Protection LLC Greensboro NC USA
- Syngenta (United States) (US)
- Macalester College (US)
- Corresponding author
- Moore, Adrian P.
- Venue
- Aquatic Conservation: Marine and Freshwater Ecosystems
- Publisher
- Wiley
- Published
- 2021-09-09
- Volume
- 31
- Issue
- 12
- Pages
- 3386-3402
- ISSN
- 1052-7613 (ISSN-L)
- 1099-0755
- OpenAlex
- W3199975289
- Cited by
- 29
- References
- 2
- Citations by year
- 2026: 5 · 2025: 7 · 2024: 9 · 2023: 5 · 2022: 3
- FWCI
- 2.29
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Aquatic Conservation Marine and Freshwater Ecosystems (publishedVersion)
- Topics
- Physical Sciences › Environmental Science › Ecology › Aquatic Invertebrate Ecology and Behavior
- Physical Sciences › Environmental Science › Global and Planetary Change › Marine Bivalve and Aquaculture Studies
- Life Sciences › Agricultural and Biological Sciences › Insect Science › Mollusks and Parasites Studies
- Keywords
- freshwater mussels, life-history traits, threatened species, environmental risk assessment, species classification, data gaps, Endangered Species Act, conservation management
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