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Simulation of wetland distribution in the Yellow River Basin based on an improved Markov-FLUS model

Bibliographic Data

ID15547433
AuthorsHanwen Zhang (0000-0001-9948-791X, corresponding author), Heying Li (0009-0006-5025-8941), Jianchen Zhang (0000-0002-0093-0940), Jiayao Wang (0000-0003-2753-6000), Guangxia Wang (0000-0002-5638-4838), Yamin Shan, Haohua Zheng
Year2024
Volume19
Issue10
Pages104001-104001
Publication date2024-08-13
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/ad6ea5
OpenAlexW4401528581
LanguageEN
References cited39

Wetlands, as a regulator of water cycle and balance, play a key role in preventing flood and drought disasters and protecting biodiversity. The Yellow River Basin is an important ecological barrier and economic zone in our country. By predicting the distribution of wetland landscape and evaluating its evolutionary characteristics, strategies for wetland conservation and utilization in the Yellow River Basin can be formulated. Future land use simulation model can not only simulate the change of multiple land use types, but also reflect the uncertainty of real land use change. In this study, the model was improved and used to predict future wetland changes in the Yellow River Basin. Using the wetland distribution data in 2000 as the initial data, and the wetland distribution data in 2015 as the validation data, setting the parameters according to the land use data of the Yellow River Basin from 1980 to 2000 and the wetland type transfer matrix, after verifying the applicability of the model, the spatial distribution pattern of wetlands in the Yellow River Basin in 2030 was simulated. This research shows that the cost matrix setting method based on the wetland transfer matrix can effectively avoid the errors caused by subjective judgment assignment. By 2030, the wetland distribution in the Yellow River Basin will remain stable, with marshes, paddy fields, and beaches as the main types, similar to 2015. Of all the regions in the Yellow River Basin, Zhengzhou had the highest rate of wetland loss, down 31.94%. On the contrary, Sanmenxia had the highest growth rate of 24.44

Drainage basin · Flood myth · Geography · Hydrology (agriculture · Marsh · Structural basin · Water resource management · Wetland · Wetland Conservation · Environmental Science · Land Use and Ecosystem Services · Wetland Management and Conservation · Ecology · Geology

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