Your browser doesn't support javascript.
loading
Emergent competition shapes top-down versus bottom-up control in multi-trophic ecosystems.
Feng, Zhijie; Marsland, Robert; Rocks, Jason W; Mehta, Pankaj.
Afiliação
  • Feng Z; Department of Physics, Boston University, Boston, Massachusetts, United States of America.
  • Marsland R; Department of Physics, Boston University, Boston, Massachusetts, United States of America.
  • Rocks JW; Department of Physics, Boston University, Boston, Massachusetts, United States of America.
  • Mehta P; Department of Physics, Boston University, Boston, Massachusetts, United States of America.
PLoS Comput Biol ; 20(2): e1011675, 2024 Feb.
Article em En | MEDLINE | ID: mdl-38330086
ABSTRACT
Ecosystems are commonly organized into trophic levels-organisms that occupy the same level in a food chain (e.g., plants, herbivores, carnivores). A fundamental question in theoretical ecology is how the interplay between trophic structure, diversity, and competition shapes the properties of ecosystems. To address this problem, we analyze a generalized Consumer Resource Model with three trophic levels using the zero-temperature cavity method and numerical simulations. We derive the corresponding mean-field cavity equations and show that intra-trophic diversity gives rise to an effective "emergent competition" term between species within a trophic level due to feedbacks mediated by other trophic levels. This emergent competition gives rise to a crossover from a regime of top-down control (populations are limited by predators) to a regime of bottom-up control (populations are limited by primary producers) and is captured by a simple order parameter related to the ratio of surviving species in different trophic levels. We show that our theoretical results agree with empirical observations, suggesting that the theoretical approach outlined here can be used to understand complex ecosystems with multiple trophic levels.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ecossistema / Ecologia Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ecossistema / Ecologia Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos