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Title

Competitive dominance in plant communities: Modeling approaches and theoretical predictions

AuthorsCapitán, José A.; Cuenda, Sara; Alonso, David CSIC ORCID
KeywordsHierarchical competition
Spatially-explicit stochastic dynamics
Continuous-time Markov processes
Birth-death-immigration processes
Issue Date2020
PublisherElsevier
CitationJournal of Theoretical Biology 502(7) : 110349 (2020)
AbstractQuantitative predictions about the processes that promote species coexistence are a subject of active research in ecology. In particular, competitive interactions are known to shape and maintain ecological communities, and situations where some species out-compete or dominate over some others are key to describe natural ecosystems. Here we develop ecological theory using a stochastic, synthetic framework for plant community assembly that leads to predictions amenable to empirical testing. We propose two stochastic, continuous-time Markov models that incorporate competitive dominance through a hierarchy of species heights. The first model, which is spatially implicit, predicts both the expected number of species that survive and the conditions under which heights are clustered in realized model communities. The second one allows spatially-explicit interactions of individuals and alternative mechanisms that can help shorter plants overcome height-driven competition, and it demonstrates that clustering patterns remain, not only locally but also across increasing spatial scales. Moreover, although plants are actually height-clustered in the spatially-explicit model, plant species abundances are not necessarily skewed to taller plants.
DescriptionEste artículo contiene 15 páginas, 5 figuras.
Publisher version (URL)https://doi.org/10.1016/j.jtbi.2020.110349
URIhttp://hdl.handle.net/10261/215167
ISSN0022-5193
E-ISSN1095-8541
Appears in Collections:(CEAB) Artículos
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