The impact of data resolution on dynamic causal inference in multiscale ecological networks.

ABSTRACT: While it is commonly accepted that ecosystem dynamics are nonlinear, what is often not acknowledged is that nonlinearity implies scale-dependence. With the increasing availability of high-resolution ecological time series, there is a growing need to understand how scale and resolution in the data affect the construction and interpretation of causal networks-specifically, networks mapping how changes in one variable drive changes in others as part of a shared dynamic system ("dynamic causation"). We use Convergent Cross Mapping (CCM), a method specifically designed to measure dynamic causation, to study the effects of varying temporal and taxonomic/functional resolution in data when constructing ecological causal networks. As the system is viewed at different scales relationships will appea

SUBMITTER: Saberski E 

PROVIDER: S-EPMC11538442 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature