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In silico substrate dependence increases community productivity but threatens biodiversity

Aisling Daly (UGent) , Jan Baetens (UGent) and Bernard De Baets (UGent)
(2016) PHYSICAL REVIEW E. 93(4).
Author
Organization
Abstract
The critical role that biodiversity plays in ecosystem functioning has motivated many studies of themechanisms that sustain biodiversity, a notable example being cyclic competition. We extend existing models of communities with cyclic competition by incorporating variable community evenness and resource dependence in demographic processes, two features that have generally been neglected. In this way, we align previous approaches more closely with real-world microbial ecosystems. We demonstrate the existence of a trade-off between increasing biomass production and maintaining biodiversity. This supports experimental observations of a net negative biodiversity effect on biomass productivity, due to competition effects suffered by highly productive species in diverse communities. Our results also support the important role assigned by microbial ecologists to evenness in maintaining ecosystem stability, thus far largely overlooked in in silico approaches.
Keywords
EVOLUTIONARY GAME-THEORY, ECOSYSTEM FUNCTION, EVENNESS, COOPERATION, DIVERSITY, SELECTION, INDEX

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Citation

Please use this url to cite or link to this publication:

MLA
Daly, Aisling, et al. “In Silico Substrate Dependence Increases Community Productivity but Threatens Biodiversity.” PHYSICAL REVIEW E, vol. 93, no. 4, 2016, doi:10.1103/PhysRevE.93.042414.
APA
Daly, A., Baetens, J., & De Baets, B. (2016). In silico substrate dependence increases community productivity but threatens biodiversity. PHYSICAL REVIEW E, 93(4). https://doi.org/10.1103/PhysRevE.93.042414
Chicago author-date
Daly, Aisling, Jan Baetens, and Bernard De Baets. 2016. “In Silico Substrate Dependence Increases Community Productivity but Threatens Biodiversity.” PHYSICAL REVIEW E 93 (4). https://doi.org/10.1103/PhysRevE.93.042414.
Chicago author-date (all authors)
Daly, Aisling, Jan Baetens, and Bernard De Baets. 2016. “In Silico Substrate Dependence Increases Community Productivity but Threatens Biodiversity.” PHYSICAL REVIEW E 93 (4). doi:10.1103/PhysRevE.93.042414.
Vancouver
1.
Daly A, Baetens J, De Baets B. In silico substrate dependence increases community productivity but threatens biodiversity. PHYSICAL REVIEW E. 2016;93(4).
IEEE
[1]
A. Daly, J. Baetens, and B. De Baets, “In silico substrate dependence increases community productivity but threatens biodiversity,” PHYSICAL REVIEW E, vol. 93, no. 4, 2016.
@article{7243936,
  abstract     = {{The critical role that biodiversity plays in ecosystem functioning has motivated many studies of themechanisms that sustain biodiversity, a notable example being cyclic competition. We extend existing models of communities with cyclic competition by incorporating variable community evenness and resource dependence in demographic processes, two features that have generally been neglected. In this way, we align previous approaches more closely with real-world microbial ecosystems. We demonstrate the existence of a trade-off between increasing biomass production and maintaining biodiversity. This supports experimental observations of a net negative biodiversity effect on biomass productivity, due to competition effects suffered by highly productive species in diverse communities. Our results also support the important role assigned by microbial ecologists to evenness in maintaining ecosystem stability, thus far largely overlooked in in silico approaches.}},
  articleno    = {{042414}},
  author       = {{Daly, Aisling and Baetens, Jan and De Baets, Bernard}},
  issn         = {{2470-0045}},
  journal      = {{PHYSICAL REVIEW E}},
  keywords     = {{EVOLUTIONARY GAME-THEORY,ECOSYSTEM FUNCTION,EVENNESS,COOPERATION,DIVERSITY,SELECTION,INDEX}},
  language     = {{eng}},
  number       = {{4}},
  pages        = {{6}},
  title        = {{In silico substrate dependence increases community productivity but threatens biodiversity}},
  url          = {{http://doi.org/10.1103/PhysRevE.93.042414}},
  volume       = {{93}},
  year         = {{2016}},
}
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