The Impact of Land Use and Landscape Pattern on Ecosystem Services in the Dongting Lake Region, China

Ecosystem services (ES) are directly affected by land use and land cover changes (LUCC); however, the impacts of extended period LUCC on ES are poorly explored. Here, we mapped the 1998–2019 annual land use and land cover in the Dongting Lake Region (China) and explored the spatiotemporal evolution...

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Bibliographic Details
Published in:Remote sensing (Basel, Switzerland) Switzerland), 2023-04, Vol.15 (9), p.2228
Main Authors: Zhao, Jianlun, Liu, Shuguang, Wang, Zhao, Gao, Haiqiang, Feng, Shuailong, Wei, Baojing, Hou, Zhaozhen, Xiao, Fangmeng, Jing, Lei, Liao, Xiaoping
Format: Article
Language:English
Subjects:
Accuracy
Agricultural land
Aquatic ecosystems
Carbon
Carbon sequestration
change detection and classification
Crop yield
Distribution
Dongting Lake
ecosystem service
Ecosystem services
Ecosystems
Environmental aspects
Environmental economics
Environmental impact
Forests
Heterogeneity
Identification and classification
Lakes
Land cover
Land use
land use and land cover
Land use management
Land use planning
Landscape
landscape pattern
Measurement
Natural resources
Optimization
Primary production
Regional planning
Remote sensing
River ecology
Spatial heterogeneity
trade-offs and synergies
Water conservation
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Summary:Ecosystem services (ES) are directly affected by land use and land cover changes (LUCC); however, the impacts of extended period LUCC on ES are poorly explored. Here, we mapped the 1998–2019 annual land use and land cover in the Dongting Lake Region (China) and explored the spatiotemporal evolution of LUCC and landscape patterns (i.e., composition, shape, and aggregation) and their relationship with ES, including carbon storage, gross primary production (GPP), water conservation capacity, and crop yield in the region. The results showed a significant increase in forest areas and impervious surfaces and a decrease in croplands and bare lands with spatial heterogeneity. Carbon storage was strongly correlated with forest, cropland, waterbody, impervious surface, and bare land, and there was a nonlinear relationship between landscape patterns and ES. The trade-offs and synergies (correlations) among ES varied considerably, with crop yield being significantly synergistic with carbon stocks, GPP, or GPP with carbon stocks. This study revealed the nonlinear relationship between landscape patterns and ES, and the mechanism of landscape characteristics on ES. The findings can provide scientific support for regional land use planning, ES regulation, and landscape optimization in the lake region.
ISSN:2072-4292
2072-4292
DOI:10.3390/rs15092228