Diversity of Interaction Types and Ecological Community Stability

By A. Mougi, Michio Kondoh. Science, 2012

779 citations recorded by the source corpus.

Subfields: Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/7a6b2ae2b33ba887c57d4200e99c565f83832b1d

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In Ecology, Evolution, Behavior and Systematics

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Citations in the corpus

Complexity and stability of ecological networks: a review of the theory (2018, background): “Mougi and Kondoh (2012), using random, cascade, and bipartite (Thébault and Fontaine 2010) models, showed that a moderate mixture of antagonistic and mutualistic interactions can stabilize community dynamics, and increasing complexity (species richness and connectance) leads to increased…”
The Structure of Ecological Networks Across Levels of Organization (2020, background): “…work suggests that the combination of antagonistic and mutualistic interactions promotes stability in ecological communities, challenging the long-standing notion that highly interactive, species-rich communities are intrinsically unstable (Hale et al. 2020, Mougi & Kondoh 2012,Qian & Akçay 2020).”
The ecology of the microbiome: Networks, competition, and stability (2015, methodology): “As above, we consider the generalized Lotka-Volterra model with S species outlined in (1), and now follow the same approach as (32) and (18), whereby each species intrinsic growth rate r i is solved for so as to ensure a feasible equilibrium at X = 1.”
Soil microbial diversity during 30 years of grassland restoration on the Loess Plateau, China: Tight linkages with plant diversity (2019, background): “Here, we found that the complexity of microbial co‐occurrence networks increased along a 30‐year grassland restoration chronosequence, which should lead to higher community stability with different community interaction types (Mougi & Kondoh, 2012).”
Structure–stability relationships in networks combining mutualistic and antagonistic interactions (2014, background): “As modifying such assumptions can change the structure–stability relationship (Thébault and Loreau 2005), we verified the robustness of our results with another model respecting the constant interaction effort hypothesis (as in Mougi and Kondoh 2012, Supplementary material Appendix 1 Fig.”
Empirical dynamic modeling for beginners (2017, neutral): “May 1972; Mougi and Kondoh 2012).”