Dynamic landscapes and the influence of human activities in the Yellow River Delta wetland region

湿地 三角洲 生态系统 驱动因素 地理 三角洲 景观生态学 土地利用 环境科学 自然地理学 人口 气候变化 生态学 水文学(农业) 中国 栖息地 地质学 工程类 社会学 航空航天工程 人口学 考古 岩土工程 生物
作者
Xinyu Dou,Huadong Guo,Lu Zhang,Dong Liang,Qi Zhu,Xuting Liu,Heng Zhou,Zhuoran Lv,Yiming Liu,Yiting Gou,Zhoulong Wang
出处
期刊:Science of The Total Environment [Elsevier BV]
卷期号:899: 166239-166239 被引量:33
标识
DOI:10.1016/j.scitotenv.2023.166239
摘要

The Yellow River Delta (YRD) wetland is one of the largest and youngest wetland ecosystems in the world. It plays an important role in regulating climate and maintaining ecological balance in the region. This study analyzes the spatiotemporal changes in land use, wetland migration, and landscape pattern from 2013 to 2022 using Landsat-8 and Sentinel-1 data in YRD. Then wetland landscape changes and the impact of human activities are determined by analyzing correlation between landscape and socio-economic indicators including nighttime light centroid, total light intensity, cultivated land area and centroid, building area and centroid, economic and population. The results show that the total wetland area increased 1426 km2 during this decade. However, the wetland landscape pattern tended to be fragmented from 2013 to 2022, with wetlands of different types interlacing and connectivity decreasing, and distribution becoming more concentrated. Different types of human activities had influences on different aspects of wetland landscape, with the expansion of cultivated land mainly compressing the core area of wetlands from the edge, the expansion of buildings mainly disrupting wetland connectivity, and socio-economic indicators such as total light intensity and the centroid mainly causing wetland fragmentation. The results show the changes of the YRD wetland and provide an explanation of how human activities effect the change of its landscape, which provides available data to achieve sustainable development goals 6.6 and may give an access to measure the change of wetland using human-activity data, which could help to adject behaviors to protect wetlands.
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