Next Article in Journal
Towards Amazon Forest Restoration: Automatic Detection of Species from UAV Imagery
Next Article in Special Issue
An Adaptive Piecewise Harmonic Analysis Method for Reconstructing Multi-Year Sea Surface Chlorophyll-A Time Series
Previous Article in Journal
Quantitative Assessment of Landslide Risk Based on Susceptibility Mapping Using Random Forest and GeoDetector
Previous Article in Special Issue
Changes in Ecosystems and Ecosystem Services in the Guangdong-Hong Kong-Macao Greater Bay Area since the Reform and Opening Up in China
Article

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

by 1,2,†, 3,†, 1,2,4,*, 1,2, 5 and 6
1
Guangxi Laboratory on the Study of Coral Reefs in the South China Sea, Guangxi University, Nanning 530004, China
2
School of Marine Sciences, Guangxi University, Nanning 530004, China
3
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
4
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519080, China
5
School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, China
6
College of Oceanography and Space Informatics, China University of Petroleum (Huadong), Qingdao 266580, China
*
Author to whom correspondence should be addressed.
Shared first authorship.
Academic Editor: John Burns
Remote Sens. 2021, 13(13), 2626; https://doi.org/10.3390/rs13132626
Received: 19 May 2021 / Revised: 26 June 2021 / Accepted: 30 June 2021 / Published: 4 July 2021
(This article belongs to the Special Issue GIS and RS in Ocean, Island and Coastal Zone)
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. View Full-Text
Keywords: global warming; sea-level rise; coral reefs; spatial model; south China sea global warming; sea-level rise; coral reefs; spatial model; south China sea
Show Figures

Graphical abstract

MDPI and ACS Style

Zuo, X.; Su, F.; Yu, K.; Wang, Y.; Wang, Q.; Wu, H. Spatially Modeling the Synergistic Impacts of Global Warming and Sea-Level Rise on Coral Reefs in the South China Sea. Remote Sens. 2021, 13, 2626. https://doi.org/10.3390/rs13132626

AMA Style

Zuo X, Su F, Yu K, Wang Y, Wang Q, Wu H. Spatially Modeling the Synergistic Impacts of Global Warming and Sea-Level Rise on Coral Reefs in the South China Sea. Remote Sensing. 2021; 13(13):2626. https://doi.org/10.3390/rs13132626

Chicago/Turabian Style

Zuo, Xiuling, Fenzhen Su, Kefu Yu, Yinghui Wang, Qi Wang, and Huisheng Wu. 2021. "Spatially Modeling the Synergistic Impacts of Global Warming and Sea-Level Rise on Coral Reefs in the South China Sea" Remote Sensing 13, no. 13: 2626. https://doi.org/10.3390/rs13132626

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop