Modeling present and future distribution of plankton populations in a coastal upwelling zone: the copepod Calanus chilensis as a study case.

ABSTRACT: Predicting species distribution in the ocean has become a crucial task to assess marine ecosystem responses to ongoing climate change. In the Humboldt Current System (HCS), the endemic copepod Calanus chilensis is one of the key species bioindicator of productivity and water masses. Here we modeled the geographic distribution of Calanus chilensis for two bathymetric ranges, 0-200 and 200-400 m. For the 0-200 m layer, we used the Bayesian Additive Regression Trees (BART) method, whereas, for the 200-400 m layer, we used the Ensembles of Small Models (ESMs) method and then projected the models into two future scenarios to assess changes in geographic distribution patterns. The models were evaluated using the multi-metric approach. We identified that chlorophyll-a (0.34), Mixed Layer Depth (0

SUBMITTER: Rivera R 

PROVIDER: S-EPMC9950369 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature