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Ecological effects of artificial reefs in Daya Bay of China observed from satellite and in situ measurements

文献类型: 外文期刊

作者: Yu, Jing 1 ; Chen, Pimao 1 ; Tang, Danling; Qin, Chuanxin 1 ;

作者机构: 1.Chinese Acad Fishery Sci, South China Sea Fisheries Res Inst, Sci Observing & Expt Stn South China Sea Fishery, Key Lab Marine Ranching Technol, Guangzhou 510300, Guangdong, Peoples R China

2.Minist Agr, Key Lab South China Sea Fishery Resources Utiliza, Beijing, Peoples R China

3.Key Lab Fishery Ecol & Environm, Guangzhou, Guangdong, Peoples R China

4.Key Lab Fishery Ecol & Environm, Guangzh

关键词: Ecological effects;Artificial reefs;Remote sensing;Daya Bay;China

期刊名称:ADVANCES IN SPACE RESEARCH ( 影响因子:2.152; 五年影响因子:1.978 )

ISSN:

年卷期:

页码:

收录情况: SCI

摘要: Fishery resources along China's coasts have been declining. Could those decline be alleviated by deploying artificial reefs (ARs) in suitable areas? This study investigates effects of a big project conducted in December 2007 that deployed ARs in the southwestern part of Daya Bay. The ARs cover a total dimension of 966.10 x 2850.60 m(2) and surface area of 91,500 m2. This study analyzed the spatial and temporal variations of ecological factors, including Chlorophyll a concentrations (Chl-a), nutrients, attaching organisms and nekton resources, on and around the ARs using both satellite (Moderate Resolution Imaging Spectroradiometer, MODIS) and in situ data. Results showed that the potential affected area of ARs in Daya Bay reached a distance of 4.9 km in the water depth of 12.0-15.2 m. In the study area, Chl-a level reached 2.93 mg m(-2) during the post-AR period (2008-2012), that was higher than the pre-AR period (2002-2007) (2.37 mg m(-2)). Nekton biomass increased by 4.66-16.22 times compared with that in the pre-AR survey, and the species diversity increased by 15%-23%. This parallel trend suggested that ARs might have contribution to the increase in nekton biomass. Long-term observations shall be conducted to understand the response of phytoplankton to ARs. (C) 2015 COSPAR. Published by Elsevier Ltd. All rights reserved.

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