S
Stephen R. Carpenter
Researcher at University of Wisconsin-Madison
Publications - 471
Citations - 124197
Stephen R. Carpenter is an academic researcher from University of Wisconsin-Madison. The author has contributed to research in topics: Zooplankton & Ecosystem. The author has an hindex of 131, co-authored 464 publications receiving 109624 citations. Previous affiliations of Stephen R. Carpenter include Royal Swedish Academy of Sciences & University of California, Santa Barbara.
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Use of deep autochthonous resources by zooplankton: Results of a metalimnetic addition of 13C to a small lake
TL;DR: In this article, the authors experimentally enriched the metalimnetic dissolved inorganic carbon (DIC) 13C pool in Peter Lake to enhance the isotopic separation between surface and deep phytoplankton often have similar isotopic compositions.
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Effect of Sampling Frequency on Intersample Variance and Food Consumption Estimates of Nonpiscivorous Largemouth Bass
TL;DR: The effects of sampling frequency on diet variance and on estimated prey consumption by the fish population in an age-II+ cohort of largemouth bass in Michigan's upper peninsula were determined.
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Predicting responses of chlorophyll and primary production to changes in phosphorus, grazing, and dissolved organic carbon (Reply to comment by Nürnberg)
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Experimental test of the pupation window model for development of detritivorous insects
TL;DR: Tests of the model using cohorts of Aedes triseriatus Say led to successful predictions of numbers of pupae, female pupal mass, and female development time, but it is recommended that model parameters be estimated separately for different types of leaf litter.
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A Mixed-Order Model to Assess Contaminant Declines
TL;DR: In this paper, a generalized form of the common first-order decay model is introduced for describing contaminant declines in environmental applications, particularly when declines are a mixture of many underlying processes, leaving the exponent on contaminant concentration as a free parameter allowing the order of the reaction to be determined by the data.