Inferring coexistence likelihood in changing environments from ecological time series.

ABSTRACT: Inferring coexistence metrics, such as niche and fitness differences, in changing environments is key for understanding the mechanism behind species coexistence and predicting its likelihood. However, it first requires estimating the per capita interactions between organisms and their intrinsic growth rates-parameters that are typically measured by isolating organisms from their natural context. Here, we first use weighted multivariate regression on the per capita growth rates of populations to estimate these key ecological parameters directly from time-series data of species-rich communities. Second, we infer niche differences and species resistance, which are two important metrics for understanding species coexistence. Our approach allows these metrics to vary over time and under differe

SUBMITTER: Nguyen PL 

PROVIDER: S-EPMC12280950 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature