Delineation of marine ecosystem zones in the northern Arabian Sea during winter

被引:7
|
作者
Shalin, Saleem [1 ,6 ]
Samuelsen, Annette [2 ]
Korosov, Anton [3 ]
Menon, Nandini [1 ]
Backeberg, Bjorn C. [3 ,4 ,5 ]
Pettersson, Lasse H. [3 ]
机构
[1] Nansen Environm Res Ctr India, Kochi, Kerala, India
[2] Nansen Environm & Remote Sensing Ctr, Bergen, Norway
[3] Bjerknes Ctr Climate Res, Bergen, Norway
[4] CSIR, Coastal Syst Res Grp, Nat Resources & Environm, Stellenbosch, South Africa
[5] Univ Cape Town, Dept Oceanog, Nansen Tutu Ctr Marine Environm Res, Cape Town, South Africa
[6] Cent Marine Fisheries Res Inst, Kochi, Kerala, India
基金
新加坡国家研究基金会;
关键词
GENERAL-CIRCULATION MODEL; TROPICAL INDIAN-OCEAN; MIXED-LAYER; INTERANNUAL VARIABILITY; SATELLITE-OBSERVATIONS; PRIMARY PRODUCTIVITY; SURFACE TEMPERATURE; CHLOROPHYLL-A; IN-SITU; MONSOON;
D O I
10.5194/bg-15-1395-2018
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
The spatial and temporal variability of marine autotrophic abundance, expressed as chlorophyll concentration, is monitored from space and used to delineate the surface signature of marine ecosystem zones with distinct optical characteristics. An objective zoning method is presented and applied to satellite-derived Chlorophyll a (Chl a) data from the northern Arabian Sea (50-75 degrees E and 15-30 degrees N) during the winter months (November-March). Principal component analysis (PCA) and cluster analysis (CA) were used to statistically delineate the Chl a into zones with similar surface distribution patterns and temporal variability. The PCA identifies principal components of variability and the CA splits these into zones based on similar characteristics. Based on the temporal variability of the Chl a pattern within the study area, the statistical clustering revealed six distinct ecological zones. The obtained zones are related to the Longhurst provinces to evaluate how these compared to established ecological provinces. The Chl a variability within each zone was then compared with the variability of oceanic and atmospheric properties viz. mixed-layer depth (MLD), wind speed, sea-surface temperature (SST), photosynthetically active radiation (PAR), nitrate and dust optical thickness (DOT) as an indication of atmospheric input of iron to the ocean. The analysis showed that in all zones, peak values of Chl a coincided with low SST and deep MLD. The rate of decrease in SST and the deepening of MLD are observed to trigger the algae bloom events in the first four zones. Lagged cross-correlation analysis shows that peak Chl a follows peak MLD and SST minima. The MLD time lag is shorter than the SST lag by 8 days, indicating that the cool surface conditions might have enhanced mixing, leading to increased primary production in the study area. An analysis of monthly climatological nitrate values showed increased concentrations associated with the deepening of the mixed layer. The input of iron seems to be important in both the open-ocean and coastal areas of the northern and north-western parts of the northern Arabian Sea, where the seasonal variability of the Chl a pattern closely follows the variability of iron deposition.
引用
收藏
页码:1395 / 1414
页数:20
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