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Fifty years ago, Robert MacArthur showed that stable equilibria optimize quadratic functions of the population sizes in several important ecological models.
The Community Simulator: A Python package for microbial ecology page arXiv:1904.09367
Marsland III, R., W. Cui, J. Golford, and P. Mehta. 2019 b · 1904
Earlier work this paper cites.
The effect of resource dynamics on species packing in diverse ecosystems
Cui, W., R. Marsland III, and P. Mehta. 2019 · 1911
Earlier work this paper cites.
Some characteristics of simple types of predation and parasitism
Holling, C. S. 1959 · 1959
Earlier work this paper cites.
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MacArthur, R. 1969 · 1969
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Community equilibria and stability, and an extension of the competitive exclusion principle
Levin, S. A. 1970 · 1970
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———. 1970 · 1970
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Macarthur’s minimization principle: a footnote
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Comments on” macarthur’s minimization principle: A footnote”
Gatto, M. 1982 · 1982
Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Lotka-volterra pairwise modeling fails to capture diverse pairwise microbial interactions
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Handbook of linear algebra
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