Estuarine and Coastal Science and Technology towards Sustainable Ecosystems

The use of remote sensing and GIS to detect and simulate changes in the largest mangrove community of Iran

  • NIYA Ali KOUROSH ,
  • Jinliang HUANG
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  • 1. Coastal and Ocean Management Institute, College of Environment and Ecology, Xiamen University, Xiamen Fujian 361102, China

Received date: 2020-04-21

  Online published: 2021-02-07

Cite this article

NIYA Ali KOUROSH , Jinliang HUANG . The use of remote sensing and GIS to detect and simulate changes in the largest mangrove community of Iran[J]. Journal of East China Normal University(Natural Science), 2020 , 2020(S1) : 94 -98 . DOI: 10.3969/j.issn.1000-5641.202092210

References

1 OLIVER T H, MORECROFT M D. Interactions between climate change and land use change on biodiversity: Attribution problems, risks, and opportunities. Wiley Interdisciplinary Reviews: Climate Change, 2014, 5 (3): 317- 335.
2 DILMAGHANI Y, DANEHKAR A, JOZI S A, et al. Codification of mangrove forests management strategies: Case study of Hara Protected Area, Iran. Journal of Food, Agriculture & Environment, 2011, 9 (2): 508- 513.
3 KOUROSH NIYA A, HUANG J, KAZEMZADEH-ZOW A, et al. Comparison of three hybrid models to simulate land use changes: A case study in Qeshm Island, Iran [J]. Environmental Monitoring and Assessment, 2020, 192: 1-19.
4 KHOORANI A, BINEIAZ M, AMIRI H R. Mangrove forest area changes due to climatic changes (Case study: Forest between the port and the Khamir island). Aquatic Ecology, 2015, (5): 100- 111.
5 MAFI-GHOLAMI D, ZENNER E K, JAAFARI A, et al. Modeling multi-decadal mangrove leaf area index in response to drought along the semi-arid southern coasts of Iran. Science of the Total Environment, 2019, 656, 1326- 1336.
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