scholarly journals A Multivariate Analysis Framework to Detect Key Environmental Factors Affecting Spatiotemporal Variability of Chlorophyll-a in a Tropical Productive Estuarine-Lagoon System

2018 ◽  
Vol 10 (6) ◽  
pp. 853
Author(s):  
Regina Lins ◽  
Jean-Michel Martinez ◽  
David Motta Marques ◽  
José Cirilo ◽  
Paulo Medeiros ◽  
...  
Diversity ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 389
Author(s):  
Min-Ho Seo ◽  
Hyeon-Jung Kim ◽  
Seok-Ju Lee ◽  
So-Yeon Kim ◽  
Yang-Ho Yoon ◽  
...  

To understand the environmental factors affecting the spatiotemporal distribution of copepods, sampling was conducted seasonally in a small mesotidal inlet and estuary located in Doam Bay of southwestern Korea. The study area was divided seasonally into two or three station groups (estuarine, mixed, and coastal) by a cluster analysis and non-metric multidimensional scaling based on copepod abundance. Acartia forticrusa, A. hudsonica, A. ohtsukai, Paracalanus parvus s. l., Pseudodiaptomus marinus, Tortanus derjugini, T. dextrilobatus, T. forcipatus, Oithona spp., and harpacticoids were important species for grouping the stations. The spatiotemporal distribution of the first two species was restricted to the estuarine area in summer and significantly correlated with temperature, salinity, and chlorophyll-a concentration. The distribution of other brackish species, such as T. derjugini and T. dextrilobatus, significantly correlated with temperature, salinity, and chlorophyll-a concentration. In contrast, A. hudsonica significantly correlated with dinoflagellate density and turbidity in winter, in addition to the abovementioned environmental factors. Acartia hudsonica also maintained a large population in the estuarine area in fall and winter, and its distribution extended across the entire bay in spring. Other coastal species occurred in all areas and did not significantly correlate with environmental factors. Therefore, brackish species in the study area may have developed seasonally different behaviors to sustain their populations.


2017 ◽  
Vol 9 (6) ◽  
pp. 516 ◽  
Author(s):  
Regina Lins ◽  
Jean-Michel Martinez ◽  
David Motta Marques ◽  
José Cirilo ◽  
Carlos Fragoso

2021 ◽  
Vol 174 ◽  
pp. 215-236
Author(s):  
Matheus Henrique Tavares ◽  
Regina Camara Lins ◽  
Tristan Harmel ◽  
Carlos Ruberto Fragoso Jr. ◽  
Jean-Michel Martínez ◽  
...  

Author(s):  
Suzana Maria Loures de Oliveira Marcionilio ◽  
Karine Borges Machado ◽  
Fernanda Melo Carneiro ◽  
Manuel Eduardo Ferreira ◽  
Priscilla Carvalho ◽  
...  

2020 ◽  
Vol 169 ◽  
pp. 102915 ◽  
Author(s):  
L.M. Martínez Álvarez ◽  
L.A.M. Ruberto ◽  
J.M. Gurevich ◽  
W.P. Mac Cormack

2020 ◽  
Vol 13 (1) ◽  
pp. 30
Author(s):  
Wenlong Xu ◽  
Guifen Wang ◽  
Long Jiang ◽  
Xuhua Cheng ◽  
Wen Zhou ◽  
...  

The spatiotemporal variability of phytoplankton biomass has been widely studied because of its importance in biogeochemical cycles. Chlorophyll a (Chl-a)—an essential pigment present in photoautotrophic organisms—is widely used as an indicator for oceanic phytoplankton biomass because it could be easily measured with calibrated optical sensors. However, the intracellular Chl-a content varies with light, nutrient levels, and temperature and could misrepresent phytoplankton biomass. In this study, we estimated the concentration of phytoplankton carbon—a more suitable indicator for phytoplankton biomass—using a regionally adjusted bio-optical algorithm with satellite data in the South China Sea (SCS). Phytoplankton carbon and the carbon-to-Chl-a ratio (θ) exhibited considerable variability spatially and seasonally. Generally, phytoplankton carbon in the northern SCS was higher than that in the western and central parts. The regional monthly mean phytoplankton carbon in the northern SCS showed a prominent peak during December and January. A similar pattern was shown in the central part of SCS, but its peak was weaker. Besides the winter peak, the western part of SCS had a secondary maximum of phytoplankton carbon during summer. θ exhibited significant seasonal variability in the northern SCS, but a relatively weak seasonal change in the western and central parts. θ had a peak in September and a trough in January in the northern and central parts of SCS, whereas in the western SCS the minimum and maximum θ was found in August and during October–April of the following year, respectively. Overall, θ ranged from 26.06 to 123.99 in the SCS, which implies that the carbon content could vary up to four times given a specific Chl-a value. The variations in θ were found to be related to changing phytoplankton community composition, as well as dynamic phytoplankton physiological activities in response to environmental influences; which also exhibit much spatial differences in the SCS. Our results imply that the spatiotemporal variability of θ should be considered, rather than simply used a single value when converting Chl-a to phytoplankton carbon biomass in the SCS, especially, when verifying the simulation results of biogeochemical models.


CATENA ◽  
2021 ◽  
Vol 204 ◽  
pp. 105360
Author(s):  
Shive Prakash Rai ◽  
Jacob Noble ◽  
Dharmaveer Singh ◽  
Yadhvir Singh Rawat ◽  
Bhishm Kumar

Sign in / Sign up

Export Citation Format

Share Document