| Autor: |
McNamara DE; 1 Department of Physics and Physical Oceanography, Center for Marine Science, University of North Carolina , 601 South College Road, Wilmington, NC 28403 , USA., Cortale N; 1 Department of Physics and Physical Oceanography, Center for Marine Science, University of North Carolina , 601 South College Road, Wilmington, NC 28403 , USA., Edwards C; 2 Center for Marine Biodiversity and Conservation, Scripps Institution of Oceanography, University of California - San Diego , 9500 Gilman Drive, La Jolla, CA 92093-0202 , USA., Eynaud Y; 2 Center for Marine Biodiversity and Conservation, Scripps Institution of Oceanography, University of California - San Diego , 9500 Gilman Drive, La Jolla, CA 92093-0202 , USA., Sandin SA; 2 Center for Marine Biodiversity and Conservation, Scripps Institution of Oceanography, University of California - San Diego , 9500 Gilman Drive, La Jolla, CA 92093-0202 , USA. |
| Abstrakt: |
Nonlinear time-series forecasting, or empirical dynamic modelling, has been used extensively in the past two decades as a tool for distinguishing between random temporal behaviour and nonlinear deterministic dynamics. Previous authors have extended nonlinear time-series forecasting to continuous spatial data. Here, we adjust spatial forecasting to handle discrete data and apply the technique to explore the ubiquity of nonlinear determinism in irregular spatial configurations of coral and algal taxa from Palmyra Atoll, a relatively pristine reef in the central Pacific Ocean. We find that the spatial distributions of coral and algal taxa show signs of nonlinear determinism in some locations and that these signals can change through time. We introduce the hypothesis that nonlinear spatial determinism may be a signal of systems in intermediate developmental (i.e. successional) stages, with spatial randomness characterizing early (i.e. recruitment dominated) and late-successional (i.e. 'climax' or attractor) phases. Common state-based metrics that sum community response to environmental forcing lack resolution to detect dynamics of (potential) recovery phases; incorporating signal of spatial patterning among sessile taxa holds unique promise to elucidate dynamical characters of complex ecological systems, thereby enhancing study and response efforts. |
