TY - JOUR
T1 - Spatio-temporal variability of chlorophyll-a and environmental variables in the Panama bight
AU - Corredor-Acosta, Andrea
AU - Cortés-Chong, Náyade
AU - Acosta, Alberto
AU - Pizarro-Koch, Matias
AU - Vargas, Andrés
AU - Medellín-Mora, Johanna
AU - Saldías, Gonzalo S.
AU - Echeverry-Guerra, Valentina
AU - Gutiérrez-Fuentes, Jairo
AU - Betancur-Turizo, Stella
N1 - Publisher Copyright:
© 2020 by the authors.
PY - 2020/7/1
Y1 - 2020/7/1
N2 - The analysis of synoptic satellite data of total chlorophyll-a (Chl-a) and the environmental drivers that influence nutrient and light availability for phytoplankton growth allows us to understand the spatio-temporal variability of phytoplankton biomass. In the Panama Bight Tropical region (PB; 1-9°N, 79-84°W), the spatial distribution of Chl-a is mostly related to the seasonal wind patterns and the intensity of localized upwelling centers. However, the association between the Chl-a and different physical variables and nutrient availability is still not fully assessed. In this study, we evaluate the relationship between the Chl-a and multiple physical (wind, Ekman pumping, geostrophic circulation, mixed layer depth, sea level anomalies, river discharges, sea surface temperature, and photosynthetically available radiation) and chemical (nutrients) drivers in order to explain the spatio-temporal Chl-a variability in the PB. We used satellite data of Chl-a and physical variables, and a re-analysis of a biogeochemical product for nutrients (2002-2016). Our results show that at the regional scale, the Chl-a varies seasonally in response to the wind forcing and sea surface temperature. However, in the coastal areas (mainly Gulf of Panama and off central-southern Colombia), the maximum non-seasonal Chl-a values are found in association with the availability of nutrients by river discharges, localized upwelling centers and the geostrophic circulation field. From this study, we infer that the interplay among these physical-chemical drivers is crucial for supporting the phytoplankton growth and the high biodiversity of the PB region.
AB - The analysis of synoptic satellite data of total chlorophyll-a (Chl-a) and the environmental drivers that influence nutrient and light availability for phytoplankton growth allows us to understand the spatio-temporal variability of phytoplankton biomass. In the Panama Bight Tropical region (PB; 1-9°N, 79-84°W), the spatial distribution of Chl-a is mostly related to the seasonal wind patterns and the intensity of localized upwelling centers. However, the association between the Chl-a and different physical variables and nutrient availability is still not fully assessed. In this study, we evaluate the relationship between the Chl-a and multiple physical (wind, Ekman pumping, geostrophic circulation, mixed layer depth, sea level anomalies, river discharges, sea surface temperature, and photosynthetically available radiation) and chemical (nutrients) drivers in order to explain the spatio-temporal Chl-a variability in the PB. We used satellite data of Chl-a and physical variables, and a re-analysis of a biogeochemical product for nutrients (2002-2016). Our results show that at the regional scale, the Chl-a varies seasonally in response to the wind forcing and sea surface temperature. However, in the coastal areas (mainly Gulf of Panama and off central-southern Colombia), the maximum non-seasonal Chl-a values are found in association with the availability of nutrients by river discharges, localized upwelling centers and the geostrophic circulation field. From this study, we infer that the interplay among these physical-chemical drivers is crucial for supporting the phytoplankton growth and the high biodiversity of the PB region.
KW - Ekman pumping
KW - Geostrophic circulation
KW - Nutrients
KW - Panama bight
KW - Photosynthetically available radiation
KW - Satellite chlorophyll-a
KW - Sea surface temperature
KW - Wind stress
UR - http://www.scopus.com/inward/record.url?scp=85087544889&partnerID=8YFLogxK
U2 - 10.3390/rs12132150
DO - 10.3390/rs12132150
M3 - Article
AN - SCOPUS:85087544889
SN - 2072-4292
VL - 12
JO - Remote Sensing
JF - Remote Sensing
IS - 13
M1 - 2150
ER -