The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Coupling long‐term studies with meta‐analysis to investigate impacts of non‐native crayfish on zoobenthic communities
Abstract
Summary: 1. Biological invasions are widely recognised as a significant component of human‐caused environmental change and a primary threat to native biodiversity. The negative impacts of species invasions are particularly evident for freshwater crayfish faunas. 2. This study provides novel insight into the ecological effects of native and non‐native crayfish on zoobenthic communities (with emphasis on the non‐native rusty crayfish,Orconectes rusticus) across broad scales by combining a meta‐analysis of small‐scale experimental studies with a long‐term observational study conducted over a 24 year period in Sparkling Lake, Wisconsin, U.S.A. (46°00′N, 89°42′W). 3. The meta‐analysis summarised quantitatively the results of cage experiments for seven species of crayfish spanning four continents. We found that total zoobenthos densities (primarily Gastropoda and Diptera) were significantly lower in treatments containing crayfish relative to controls; a result that was significant for non‐native crayfish but not for crayfish in their native range, perhaps owing to a small sample size. In contrast to other species, rusty crayfish were also negatively associated with Ephemeroptera. 4. Results from the time series analysis comparing temporal trends in rusty crayfish and invertebrate abundances from Sparkling Lake were consistent with the findings from the meta‐analysis. Rusty crayfish were negatively correlated with the abundance of total zoobenthos, Diptera, Ephemeroptera and Odonata, as well as families of Trichoptera. 5. By coupling the results from short and long‐term research, our study offers greater insight into the nature of crayfish‐invertebrate interactions in aquatic systems, revealing consistent effects of invasive crayfish on native fauna. The control and management of invasive species is facilitated by the knowledge that well executed small‐scale studies may be extrapolated to understand larger‐scale ecological interactions.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Ecosystems and Human Well-being: Synthesis
Assessment, M. E. (2005) · Island Press · doi:10.5281/zenodo.18167309 · Cited by 10,665
Global Biodiversity Scenarios for the Year 2100
Sala, O. E., Stuart Chapin, F., III, Armesto, J. J., Berlow, E., Bloomfield, J., Dirzo, R., Huber-Sanwald, E., Huenneke, L. F., Jackson, R. B., et al. (2000) · Science · doi:10.1126/science.287.5459.1770 · Cited by 9,280
Cited by
Global ecological impacts of invasive species in aquatic ecosystems
Gallardo, B., Clavero, M., Sánchez, M. I., & Vilà, M. (2016) · Global Change Biology · doi:10.1111/gcb.13004 · Cited by 1,245
Metadata
- Authors
- MCCARTHY, J. M., HEIN, C. L., OLDEN, J. D., & JAKE VANDER ZANDEN, M.
- Venue
- Freshwater Biology
- Publisher
- Wiley
- Published
- 2006-01-05
- Volume
- 51
- Issue
- 2
- Pages
- 224-235
- ISSN
- 0046-5070 (ISSN-L)
- 1365-2427
- OpenAlex
- W2118026786
- Cited by
- 164
- References
- 2
- FWCI
- 7.98
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Coupling long‐term studies with meta‐analysis to investigate impacts of non‐native crayfish on zoobenthic communities. https://app.cochat.ai/papers/10.1111/j.1365-2427.2005.01485.x
- The paper
- MCCARTHY, J. M., HEIN, C. L., OLDEN, J. D., & JAKE VANDER ZANDEN, M. (2006). Coupling long‐term studies with meta‐analysis to investigate impacts of non‐native crayfish on zoobenthic communities. Freshwater Biology. https://doi.org/10.1111/j.1365-2427.2005.01485.x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.