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Spatially Modeling the Synergistic Impacts of Global Warming and Sea-Level Rise on Coral Reefs in the South China Sea

文献类型：期刊论文

作者Zuo, Xiuling1,2; Su, Fenzhen3; Yu, Kefu1,2,4; Wang, Yinghui1,2; Wang, Qi5; Wu, Huisheng6
刊名REMOTE SENSING
出版日期2021-07-01
卷号13期号:13页码:18
关键词global warming sea-level rise coral reefs spatial model south China sea
DOI10.3390/rs13132626
通讯作者Yu, Kefu(kefuyu@scsio.ac.cn)
英文摘要Global warming and sea-level rise (SLR) induced by rising atmospheric CO2 concentrations can cause coral bleaching, death, and submergence of the world's coral reefs. Adopting the GIS and RS methods, we modeled how these two stressors combine to influence the future growth of the atolls and table reefs of three archipelagoes in the South China Sea (SCS), based on geomorphic and ecological zones. A large-scale survey of the coral communities in Xisha Islands in 2014, Dongsha Islands in 2014-2016 and Nansha Islands in 2007 provided zone-specific process datasets on the range of reef accretion rates. Sea surface temperature and extreme (minimum and maximum) SLR data above 1985-2005 levels by 2100 in the SCS were derived from the Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (AR5) models forced with the Representative Concentration Pathways (RCPs). Our model projected that: (1) the Xisha Islands and Dongsha Islands may have a better growth status, because the reef flat biotic sparse zone may be recolonized with hard coral and become a biotic dense zone; (2) the southern Nansha Islands reefs have a risk of stopping growing due to their earlier annual bleaching years. The increasing of water depths of these reefs is stronger in the RCP with more emissions. Our approach offers insights into the best-case and worst-case impacts of two global environmental pressures on potential future reef growth under a changing climate.
WOS关键词REMOTE-SENSING DATA ; CARBONATE PRODUCTION ; SURFACE TEMPERATURE ; NANSHA ISLANDS ; TORRES STRAIT ; ATOLL ; VARIABILITY ; GROWTH ; FLATS ; CMIP5
资助项目National Natural Science Foundation of China[41801341] ; National Natural Science Foundation of China[42090041] ; National Natural Science Foundation of China[42030502] ; Guangxi Natural Science Foundation of China[2018JJB150030] ; BaGui Scholars Program Foundation[2014BGXZGX03] ; Innovation Project of Guangxi Graduate Education[YCBZ2020006] ; Chinese Academy of Science[XDA13010400] ; Guangxi scientific projects[AD17129063] ; Guangxi scientific projects[AA17204074]
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000671223600001
出版者MDPI
资助机构National Natural Science Foundation of China ; Guangxi Natural Science Foundation of China ; BaGui Scholars Program Foundation ; Innovation Project of Guangxi Graduate Education ; Chinese Academy of Science ; Guangxi scientific projects
源URL[http://ir.igsnrr.ac.cn/handle/311030/163801]  
专题中国科学院地理科学与资源研究所
通讯作者Yu, Kefu
作者单位1.Guangxi Univ, Guangxi Lab Study Coral Reefs South China Sea, Nanning 530004, Peoples R China
2.Guangxi Univ, Sch Marine Sci, Nanning 530004, Peoples R China
3.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
4.Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai 519080, Peoples R China
5.Shandong Jianzhu Univ, Sch Surveying & Geoinformat, Jinan 250101, Peoples R China
6.China Univ Petr Huadong, Coll Oceanog & Space Informat, Qingdao 266580, Peoples R China
推荐引用方式
GB/T 7714		 Zuo, Xiuling,Su, Fenzhen,Yu, Kefu,et al. Spatially Modeling the Synergistic Impacts of Global Warming and Sea-Level Rise on Coral Reefs in the South China Sea[J]. REMOTE SENSING,2021,13(13):18.
APA Zuo, Xiuling,Su, Fenzhen,Yu, Kefu,Wang, Yinghui,Wang, Qi,&Wu, Huisheng.(2021).Spatially Modeling the Synergistic Impacts of Global Warming and Sea-Level Rise on Coral Reefs in the South China Sea.REMOTE SENSING,13(13),18.
MLA Zuo, Xiuling,et al."Spatially Modeling the Synergistic Impacts of Global Warming and Sea-Level Rise on Coral Reefs in the South China Sea".REMOTE SENSING 13.13(2021):18.

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来源：地理科学与资源研究所

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