Anticipating fluctuations of bigeye tuna in the Pacific Ocean from three-dimensional ocean biogeochemistry

1. Subseasonal to decadal ocean forecasting can make significant contributions to achieving effective management of living marine resources in a changing ocean. Most applications rely on indirect proxies, however, often measured at the ocean surface and lacking a direct mechanistic link to the dynamics of marine populations.
2. Here we take advantage of three-dimensional, dynamical reconstructions and forecasts of ocean biogeochemistry based on a global Earth System Model to hindcast and assess the capacity to anticipate fluctuations in the dynamics of bigeye tuna (Thunnus obesus Lowe) in the Pacific Ocean during the last six decades. We reconstructed spatial patterns in catch per unit effort (CPUE) through the combination of physiological indices capturing both habitat preferences and physiological tolerance limits in bigeye tuna.
3. Our analyses revealed a sequence of four distinct regimes characterized by changes in the zonal distribution and average CPUE of bigeye tuna in the Pacifi..., Reconstructions and forecasts of bigeye tuna CPUE in the Pacific Ocean. The data set  also includes environmental covariates and habitat quality indices described in the text and derived from BGC fields. Ocean reanalysis and decade-long forecast experiments provided by the Ensemble Coupled Data Assimilation system integrating the Carbon, Ocean Biogeochemistry and Lower Trophics biogeochemical model [ECDA-COBALT; see Park et al 2018 and Park et al 2019].
Please check the file `readme.qmd` for further details., Dataset includes both R rds files that can be explored using R function readRDS, and NetCDF files that, among many other alternatives (see e.g. the software list at Unidata), can be explored using software packages like Panoply or ncview.