José Jonatan Cruz

Mr. José Jonatan Cruz

Instituto de Investigaciones Oceanografías de la UABC

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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Adriana Gonzalez-SilveraAdriana Gonzalez-Silvera
Adriana Gonzalez-Silvera
Eduardo Santamaria-del-AngelEduardo Santamaria-del-Angel
Eduardo Santamaria-del-Angel
VCVictor Camacho-Ibar
Victor Camacho-Ibar
Jorge Manuel Lopez-CalderonJorge Manuel Lopez-Calderon
Jorge Manuel Lopez-Calderon
José Jonatan CruzJosé Jonatan Cruz
José Jonatan Cruz
AMAlfredo Mercado-Santana
Alfredo Mercado-Santana
In this study, we report the response of phytoplankton community composition to cold and warm interannual events affecting the waters off the Baja California Peninsula from 2007 to 2016 based on data obtained from a single marine station (31.75° N/116.96° W). Included variables were satellite chlorophyll a, sea surface temperature (MODIS/Aqua), upwelling intensity, and field data (phytoplankton pigments, inorganic nutrients, light penetration). Phytoplankton pigments were determined by high performance liquid chromatography, and CHEMTAX software was used to determine the relative contributions of the main taxonomic groups to chlorophyll a. Our results confirm the decrease in phytoplankton biomass due to the influence of the recent Pacific Warm Anomaly (2014) and El Niño 2015–2016. However, this decrease was especially marked at the surface. When data from the entire water column was considered, this decrease was not significant, because at the subsurface Chla did not decrease as much. Nevertheless, significant changes in community composition occurred in the entire water column with Cyanobacteria (including Prochlorococcus) and Prymnesiophytes being dominant at the surface, while Chlorophytes and Prasinophytes made a strong contribution at the subsurface. Analysis of the spatial distribution of SST and satellite chlorophyll a made it possible to infer the spatial extension of these anomalies at a regional scale.