SDG- and GMAG-oriented analysis of multi scenarios spatiotemporal changes and evaluation of the effectiveness and potential of mangrove forests-Reference-Cited by-同舟云学术

SDG- and GMAG-oriented analysis of multi scenarios spatiotemporal changes and evaluation of the effectiveness and potential of mangrove forests

Published:2024-04-26 Issue:1 Volume:17 Page:
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Ling Ziyan¹²,Jiang Weiguo²,Peng Kaifeng³,Zhang Ze²,Wu Zhifeng⁴,Zhong Shiquan¹,Chu Aiping¹,Xiao Zhijie²,Sun Ziyu²

Affiliation:

1. Key Laboratory of Environmental Change and Resource Use in Beibu Gulf, Ministry of Education, School of Geography and Planning, Nanning Normal University, Nanning, People’s Republic of China

2. State Key Laboratory of Remote Sensing Science, Faculty of Geographical Sciences, Beijing Normal University, Beijing, People’s Republic of China

3. College of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, People’s Republic of China

4. School of Geography and Remote Sensing, Guangzhou University, Guangzhou, People’s Republic of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2024.2346274

Reference43 articles.

1. Global Mangrove Extent Change 1996–2020: Global Mangrove Watch Version 3.0

2. Mangrove Floristics and Biogeography Revisited: Further Deductions from Biodiversity Hot Spots, Ancestral Discontinuities, and Common Evolutionary Processes

3. Duke N. I. Nagelkerken T. Agardy S. Wells H. Van Lavieren and M. Huxham. 2014. “The Importance of Mangroves to People: A Call to Action.” Cambridge: United Nations Environment Programme World Conservation Monitoring Centre (UNEP-WCMC). http://researchrepository.napier.ac.uk/Output/429439.

4. Spatiotemporal Mapping and Monitoring of Mangrove Forests Changes From 1990 to 2019 in the Northern Emirates, UAE Using Random Forest, Kernel Logistic Regression and Naive Bayes Tree Models

5. Dynamics of mangrove forests in Shenzhen Bay in response to natural and anthropogenic factors from 1988 to 2017