Variability of Net Primary Productivity and Associated Biophysical Drivers in Bahía de La Paz (Mexico)

The use of information net primary productivity (NPP) from remote ocean color sensors is increasingly common in marine sciences. resulting has been used to explain variations at different spatio-temporal scales and the presence climate phenomena, such as El Niño Southern Oscillation, global warming. Satellite sensing data were analyzed Bahía de La Paz (BLP), Mexico, determine variation NPP. In addition, situ hydrographic obtained characterize water properties bay. satellite agree with measurements, validating observations over this region. NPP generally presented seasonal maximum values winter-spring minimum summer–autumn. variance explained by measured variables was ranked Chl-a < DEN SST PAR WSC. highest occurred when subtropical subsurface (SsStW) relatively shallow. Due divergence mixing processes, provided nutrients euphotic zone, consequently an increase changes plankton biomass observed. annual trends respect that similar; however, it necessary number validation studies. measurements allowed for main biophysical modulate time be identified. satellite-derived classifies BLP a high zone 432 g C m−2 year−1. satisfactory should incorporated into