Habitat loss alters effects of intransitive higher-order competition on biodiversity: a new metapopulation framework

• Published in: Proceedings of the Royal Society. B, Biological sciences Vol. 287; no. 1940; p. 20201571
• Main Authors: Li, Yinglin, Bearup, Daniel, Liao, Jinbao
• Format: Journal Article
• Language: English
• Published: England The Royal Society 09-12-2020
• Subjects: Biodiversity; Competitive Behavior; Ecology; Ecosystem; Humans; Population Dynamics; habitat loss; metapopulation model; site-occupancy dynamics; higher-order interactions; pairwise competition; intransitive competition
• ISSN: 0962-8452; 1471-2954
• DOI: 10.1098/rspb.2020.1571

Recent studies have suggested that intransitive competition, as opposed to hierarchical competition, allows more species to coexist. Furthermore, it is recognized that the prevalent paradigm, which assumes that species interactions are exclusively pairwise, may be insufficient. More importantly, whether and how habitat loss, a key driver of biodiversity loss, can alter these complex competition structures (and therefore species coexistence) remain unclear. We thus present a new, simple yet comprehensive metapopulation framework that can account for any competition pattern and more complex higher-order interactions (HOIs) among species. We find that competitive intransitivity increases community diversity and that HOIs generally enhance this effect. Essentially, intransitivity promotes species richness by preventing the dominance of a few species, unlike the hierarchical competition, while HOIs facilitate species coexistence through stabilizing community fluctuations. However, variation in species' vital rates and habitat loss can weaken or even reverse such higher-order effects, as their interaction can lead to a more rapid decline in competitive intransitivity under HOIs. Thus, it is essential to correctly identify the most appropriate interaction model for a given system before models are used to inform conservation efforts. Overall, our simple model framework provides a more parsimonious explanation for biodiversity maintenance than the existing theory.