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Relationship between hydroclimatic variables and reservoir wetland landscape pattern indices: A case study of the Sanmenxia Reservoir wetland on the Yellow River, China
Stockholm University, Faculty of Science, Department of Physical Geography. China Institute of Water Resources and Hydropower Research, China.
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Number of Authors: 62020 (English)In: Journal of Earth System Science, E-ISSN 0973-774X, Vol. 129, no 1, article id 83Article in journal (Refereed) Published
Abstract [en]

Reservoir construction has led to the development of numerous wetlands, and these wetlands play an important role in global environmental change. In this paper, we investigate the relationship between reservoir wetlands and hydroclimatic variables. We used the MODIS land cover product to extract the wetland area of the Sanmenxia Reservoir, China. Then, various indices of reservoir wetland landscape patterns were calculated. Principal component analysis was performed to build the Sanmenxia Reservoir wetland comprehensive landscape pattern index (CLPI) to depict the changes in Sanmenxia Reservoir wetlands from 2001 to 2013. Pearson correlation analysis was used to assess their relationship. The following results were obtained. Firstly, the Sanmenxia Reservoir wetland area considerably declined and the landscape heterogeneity decreased from 2001 to 2013, especially in 2004. Secondly, the CLPI is significantly negatively correlated with annual runoff and significantly positively correlated with annual sediment discharge, annual average water level and annual shallow groundwater table in Sanmenxia Reservoir regions. Additionally, due to the decline in the reservoir wetland area, the values of Shannon's diversity index and Simpson's diversity index decreased in the study area. Therefore, the study suggests that maintaining a stable and healthy reservoir wetland area should be the focus of ecological reservoir management.

Place, publisher, year, edition, pages
2020. Vol. 129, no 1, article id 83
Keywords [en]
Sanmenxia Reservoir wetland landscape patterns, hydroclimatic variables, landscape pattern indices, principal component analysis
National Category
Earth and Related Environmental Sciences Biological Sciences
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URN: urn:nbn:se:su:diva-181068DOI: 10.1007/s12040-020-1347-7ISI: 000519564100002OAI: oai:DiVA.org:su-181068DiVA, id: diva2:1427775
Available from: 2020-05-01 Created: 2020-05-01 Last updated: 2025-01-31Bibliographically approved

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Jarsjö, Jerker

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