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Time-dependent interaction modification generated from plant-soil feedback.
Zou, Heng-Xing; Yan, Xinyi; Rudolf, Volker H W.
Affiliation
  • Zou HX; Program in Ecology and Evolutionary Biology, Department of BioSciences, Rice University, Houston, Texas, USA.
  • Yan X; Department of Integrative Biology, The University of Texas at Austin, Austin, Texas, USA.
  • Rudolf VHW; Program in Ecology and Evolutionary Biology, Department of BioSciences, Rice University, Houston, Texas, USA.
Ecol Lett ; 27(5): e14432, 2024 May.
Article in En | MEDLINE | ID: mdl-38698727
ABSTRACT
Pairwise interactions between species can be modified by other community members, leading to emergent dynamics contingent on community composition. Despite the prevalence of such higher-order interactions, little is known about how they are linked to the timing and order of species' arrival. We generate population dynamics from a mechanistic plant-soil feedback model, then apply a general theoretical framework to show that the modification of a pairwise interaction by a third plant depends on its germination phenology. These time-dependent interaction modifications emerge from concurrent changes in plant and microbe populations and are strengthened by higher overlap between plants' associated microbiomes. The interaction between this overlap and the specificity of microbiomes further determines plant coexistence. Our framework is widely applicable to mechanisms in other systems from which similar time-dependent interaction modifications can emerge, highlighting the need to integrate temporal shifts of species interactions to predict the emergent dynamics of natural communities.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Soil Microbiology / Microbiota / Models, Biological Language: En Journal: Ecol Lett Year: 2024 Document type: Article Affiliation country: United States Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Soil Microbiology / Microbiota / Models, Biological Language: En Journal: Ecol Lett Year: 2024 Document type: Article Affiliation country: United States Country of publication: United kingdom