Cited by 29Aquatic Invertebrate Ecology and BehaviorMarine Bivalve and Aquaculture StudiesMollusks and Parasites Studies

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

Moore, Adrian P., Galic, Nika, Brain, Richard A., Hornbach, Daniel J., Forbes, Valery E.·2021·Aquatic Conservation: Marine and Freshwater Ecosystems

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.

Integrity signals

Registry

Crossref · 10.1002/aqc.3713

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • 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).”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review