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Using exclusion rate to unify niche and neutral perspectives on coexistence

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Using exclusion rate to unify niche and neutral perspectives on coexistence. / Carmel, Yohay; Suprunenko, Yevhen; Kunin, William E. et al.
In: Oikos, Vol. 126, No. 10, 10.2017, p. 1451-1458.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Carmel, Y, Suprunenko, Y, Kunin, WE, Kent, R, Belmaker, J, Bar-Massada, A & Cornell, SJ 2017, 'Using exclusion rate to unify niche and neutral perspectives on coexistence', Oikos, vol. 126, no. 10, pp. 1451-1458. https://doi.org/10.1111/oik.04380

APA

Carmel, Y., Suprunenko, Y., Kunin, W. E., Kent, R., Belmaker, J., Bar-Massada, A., & Cornell, S. J. (2017). Using exclusion rate to unify niche and neutral perspectives on coexistence. Oikos, 126(10), 1451-1458. https://doi.org/10.1111/oik.04380

Vancouver

Carmel Y, Suprunenko Y, Kunin WE, Kent R, Belmaker J, Bar-Massada A et al. Using exclusion rate to unify niche and neutral perspectives on coexistence. Oikos. 2017 Oct;126(10):1451-1458. Epub 2017 Jun 5. doi: 10.1111/oik.04380

Author

Carmel, Yohay ; Suprunenko, Yevhen ; Kunin, William E. et al. / Using exclusion rate to unify niche and neutral perspectives on coexistence. In: Oikos. 2017 ; Vol. 126, No. 10. pp. 1451-1458.

Bibtex

@article{2d28d606507e4542aa2cc389dff9ef5e,
title = "Using exclusion rate to unify niche and neutral perspectives on coexistence",
abstract = "The competitive exclusion principle is one of the most influential concepts in ecology. The classical formulation suggests a correlation between competitor species similarity and competition severity, leading to rapid competitive exclusion where species are very similar; yet neutral models show that identical species can persist in competition for long periods. Here, we resolve the conflict by examining two components of similarity – niche overlap and competitive similarity – and modeling the effects of each on exclusion rate (defined as the inverse of time to exclusion). Studying exclusion rate, rather than the traditional focus on binary outcomes (coexistence versus exclusion), allows us to examine classical niche and neutral perspectives using the same currency. High niche overlap speeds exclusion, but high similarity in competitive ability slows it. These predictions are confirmed by a well-known model of two species competing for two resources. Under ecologically plausible scenarios of correlation between these two factors, the strongest exclusion rates may be among moderately similar species, while very similar and highly dissimilar competitors have very low exclusion rates. Adding even small amounts of demographic stochasticity to the model blurs the line between deterministic and probabilistic coexistence still further. Thus, focusing on exclusion rate, instead of on the binary outcome of coexistence versus exclusion, allows a variety of outcomes to result from competitive interactions. This approach may help explain species coexistence in diverse competitive communities and raises novel issues for future work.",
author = "Yohay Carmel and Yevhen Suprunenko and Kunin, {William E.} and Rafi Kent and Jonathan Belmaker and Avi Bar-Massada and Cornell, {Stephen J.}",
year = "2017",
month = oct,
doi = "10.1111/oik.04380",
language = "English",
volume = "126",
pages = "1451--1458",
journal = "Oikos",
issn = "0030-1299",
publisher = "Wiley-Blackwell",
number = "10",

}

RIS

TY - JOUR

T1 - Using exclusion rate to unify niche and neutral perspectives on coexistence

AU - Carmel, Yohay

AU - Suprunenko, Yevhen

AU - Kunin, William E.

AU - Kent, Rafi

AU - Belmaker, Jonathan

AU - Bar-Massada, Avi

AU - Cornell, Stephen J.

PY - 2017/10

Y1 - 2017/10

N2 - The competitive exclusion principle is one of the most influential concepts in ecology. The classical formulation suggests a correlation between competitor species similarity and competition severity, leading to rapid competitive exclusion where species are very similar; yet neutral models show that identical species can persist in competition for long periods. Here, we resolve the conflict by examining two components of similarity – niche overlap and competitive similarity – and modeling the effects of each on exclusion rate (defined as the inverse of time to exclusion). Studying exclusion rate, rather than the traditional focus on binary outcomes (coexistence versus exclusion), allows us to examine classical niche and neutral perspectives using the same currency. High niche overlap speeds exclusion, but high similarity in competitive ability slows it. These predictions are confirmed by a well-known model of two species competing for two resources. Under ecologically plausible scenarios of correlation between these two factors, the strongest exclusion rates may be among moderately similar species, while very similar and highly dissimilar competitors have very low exclusion rates. Adding even small amounts of demographic stochasticity to the model blurs the line between deterministic and probabilistic coexistence still further. Thus, focusing on exclusion rate, instead of on the binary outcome of coexistence versus exclusion, allows a variety of outcomes to result from competitive interactions. This approach may help explain species coexistence in diverse competitive communities and raises novel issues for future work.

AB - The competitive exclusion principle is one of the most influential concepts in ecology. The classical formulation suggests a correlation between competitor species similarity and competition severity, leading to rapid competitive exclusion where species are very similar; yet neutral models show that identical species can persist in competition for long periods. Here, we resolve the conflict by examining two components of similarity – niche overlap and competitive similarity – and modeling the effects of each on exclusion rate (defined as the inverse of time to exclusion). Studying exclusion rate, rather than the traditional focus on binary outcomes (coexistence versus exclusion), allows us to examine classical niche and neutral perspectives using the same currency. High niche overlap speeds exclusion, but high similarity in competitive ability slows it. These predictions are confirmed by a well-known model of two species competing for two resources. Under ecologically plausible scenarios of correlation between these two factors, the strongest exclusion rates may be among moderately similar species, while very similar and highly dissimilar competitors have very low exclusion rates. Adding even small amounts of demographic stochasticity to the model blurs the line between deterministic and probabilistic coexistence still further. Thus, focusing on exclusion rate, instead of on the binary outcome of coexistence versus exclusion, allows a variety of outcomes to result from competitive interactions. This approach may help explain species coexistence in diverse competitive communities and raises novel issues for future work.

U2 - 10.1111/oik.04380

DO - 10.1111/oik.04380

M3 - Journal article

VL - 126

SP - 1451

EP - 1458

JO - Oikos

JF - Oikos

SN - 0030-1299

IS - 10

ER -