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Cited by 310

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Predicting crustacean zooplankton species richness

Dodson, Stanley·1992·Limnology and Oceanography

Abstract

Data from 66 North American lakes were collected to construct a model for predicting the number of crustacean zooplankton species expected in a lake. The chosen lakes have a range from 4 m2 to 80 × 109 m2 surface area, range from ultra-oligotrophic to hypereutrophic, and have zooplankton species lists based on several years of observation. The number of crustacean zooplankton species in a lake is significantly correlated with lake size, average rate of photosynthesis (parabolic function), and the number of lakes within 20 km. A multiple linear regression model, using these three independent variables, explains ∼75% of the variation in log species richness. Prediction of species richness was not enhanced by knowledge of lake depth, salinity, elevation, latitude, longitude, or distance to the nearest lake. The North American species-area curve is statistically different from and steeper than the corresponding European curve.

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Metadata

Authors
Dodson, S.
Venue
Limnology and Oceanography
Publisher
Wiley
Published
1992-06
Volume
37
Issue
4
Pages
848-856
ISSN
0024-3590 (ISSN-L)
OpenAlex
W2005123511
Cited by
310
References
12
FWCI
3.34
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Predicting crustacean zooplankton species richness. https://app.cochat.ai/papers/10.4319/lo.1992.37.4.0848
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Dodson, S. (1992). Predicting crustacean zooplankton species richness. Limnology and Oceanography. https://doi.org/10.4319/lo.1992.37.4.0848

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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.