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Food web rewiring drives long-term compositional differences and late-disturbance interactions at the community level.
Polazzo, Francesco; Marina, Tomás I; Crettaz-Minaglia, Melina; Rico, Andreu.
Afiliação
  • Polazzo F; Institutos Madrileño de Estudios Avanzados (IMDEA) Water Institute, 28805 Madrid, Spain.
  • Marina TI; Centro Austral de Investigaciones Científicas, Consejo Nacional de Investigaciones Científicas y Técnicas, C1033AAJ Ushuaia, Argentina.
  • Crettaz-Minaglia M; Institutos Madrileño de Estudios Avanzados (IMDEA) Water Institute, 28805 Madrid, Spain.
  • Rico A; Institutos Madrileño de Estudios Avanzados (IMDEA) Water Institute, 28805 Madrid, Spain.
Proc Natl Acad Sci U S A ; 119(17): e2117364119, 2022 04 26.
Article em En | MEDLINE | ID: mdl-35439049
Ecological communities are constantly exposed to multiple natural and anthropogenic disturbances. Multivariate composition (if recovered) has been found to need significantly more time to be regained after pulsed disturbance compared to univariate diversity metrics and functional endpoints. However, the mechanisms driving the different recovery times of communities to single and multiple disturbances remain unexplored. Here, we apply quantitative ecological network analyses to try to elucidate the mechanisms driving long-term community-composition dissimilarity and late-stage disturbance interactions at the community level. For this, we evaluate the effects of two pesticides, nutrient enrichment, and their interactions in outdoor mesocosms containing a complex freshwater community. We found changes in interactions strength to be strongly related to compositional changes and identified postdisturbance interaction-strength rewiring to be responsible for most of the observed compositional changes. Additionally, we found pesticide interactions to be significant in the long term only when both interaction strength and food-web architecture are reshaped by the disturbances. We suggest that quantitative network analysis has the potential to unveil ecological processes that prevent long-term community recovery.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ecossistema / Cadeia Alimentar Idioma: En Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Espanha

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ecossistema / Cadeia Alimentar Idioma: En Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Espanha