Skewed weak and Pareto-tailed strong interactions accompany community diversity and complexity
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arXiv
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| Natura: | Preprint |
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2026
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| _version_ | 1866914574799732736 |
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| author | Hojo, Takuya Arakaki, Taiko Fujimoto, Koichi |
| author_facet | Hojo, Takuya Arakaki, Taiko Fujimoto, Koichi |
| contents | Ecological communities are often characterized by many weak and few strong interspecific interactions, yet their quantitative structure, generative basis, and links to community-level properties remain poorly understood. Using two empirical datasets of plant--animal networks, we show that both trophic and mutualistic interaction strengths distribute skewed weak and Pareto-strong tails (SWAPS), as quantified by positive skewness and extreme value theory, respectively. We further find that interaction strengths are taxon-specific and largely constrained within taxa. In community assembly simulations based on a generalized Lotka--Volterra model, this taxonomic conservatism, together with multiple interaction types beyond trophic and mutualistic ones, is required for the emergence of SWAPS distribution. Notably, SWAPS distribution emerges not only at the species level but also across lineages, and its emergence accompanies increases in community diversity and complexity. Together, these results identify SWAPS distribution as a previously unrecognized interaction signature of ecological communities and provide a new perspective on the organization of community-level properties. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2605_17220 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Skewed weak and Pareto-tailed strong interactions accompany community diversity and complexity Hojo, Takuya Arakaki, Taiko Fujimoto, Koichi Populations and Evolution Adaptation and Self-Organizing Systems Biological Physics Ecological communities are often characterized by many weak and few strong interspecific interactions, yet their quantitative structure, generative basis, and links to community-level properties remain poorly understood. Using two empirical datasets of plant--animal networks, we show that both trophic and mutualistic interaction strengths distribute skewed weak and Pareto-strong tails (SWAPS), as quantified by positive skewness and extreme value theory, respectively. We further find that interaction strengths are taxon-specific and largely constrained within taxa. In community assembly simulations based on a generalized Lotka--Volterra model, this taxonomic conservatism, together with multiple interaction types beyond trophic and mutualistic ones, is required for the emergence of SWAPS distribution. Notably, SWAPS distribution emerges not only at the species level but also across lineages, and its emergence accompanies increases in community diversity and complexity. Together, these results identify SWAPS distribution as a previously unrecognized interaction signature of ecological communities and provide a new perspective on the organization of community-level properties. |
| title | Skewed weak and Pareto-tailed strong interactions accompany community diversity and complexity |
| topic | Populations and Evolution Adaptation and Self-Organizing Systems Biological Physics |
| url | https://arxiv.org/abs/2605.17220 |