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Remote Sensing Assessment of Marine Primary Productivity and Fishery Resources in the Daya Bay, China

文献类型： 外文期刊

作者： Yu, Jing 1 ; Mao, Jiangmei 1 ; Wang, Dongliang 1 ;

作者机构： 1.Chinese Acad Fishery Sci, South China Sea Fisheries Res Inst,Minst Agr & Ru, Guangdong Prov Key Lab Fishery Ecol & Environm, China Sci Observing & Expt Stn South China Sea Fi, Guangzhou 510300, Peoples R China

2.Nanjing Agr Univ, Acad Sci, Plant Phen Res Ctr, Nanjing 210095, Peoples R China

3.Shanghai Ocean Univ, Coll Marine Sci, Shanghai 201306, Peoples R China

关键词： Primary productivity; VGPM; Fishery resources; Daya Bay; China

期刊名称：PAKISTAN JOURNAL OF ZOOLOGY （ 影响因子：0.831； 五年影响因子：0.768 ）

ISSN： 0030-9923

年卷期： 2021 年 53 卷 4 期

页码：

收录情况： SCI

摘要： Marine primary productivity (PP) is closely related with fishery resources. This study benefited a lot by providing the reference for the use of remote sensing data to inverse PP and then to assess fishery resources in typical offshore fishery waters. The paper adopted the inversion analysis of the primary productivity (PP) in the Daya Bay, China applying the vertical generalized production model (VGPM) with ocean color and sea surface temperature (SST) provided by MODIS-Aqua. On the basis of modified VGPM model, fishery resources in the Daya Bay were evaluated according to the Tait model, Cushing model, and trophic dynamics model. Results showed that the seasonal variation of PP was obvious in the bay, the average PP reached the highest in summer (1595.60 mg C.m(-2).d(-1)) and the second in autumn (1274.67 mg C.m(-2).d(-1)). The space distribution of PP decreased gradually from nearshore (greater than 1000 mg C.m(-2).d(-1)) to offshore and outside (800 similar to 1000 mg C.m(-2).d(-1)) of the bay. As one of the most significant influencing factors to PP, chlorophyll a (Chl-a) showed similar characteristics of spatiotemporal distribution. Comparing results of different estimation models, it was found that density of fishery resources assessed by Cushing model matched well with the in-situ investigation data of fishery resources. Marine primary productivity and fishery resources in the Daya Bay were mainly influenced by Chl-a distribution, cage culture and petrochemical sewage (Liu, 2011).

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