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Landscape Pattern Evolution Processes and the Driving Forces in the Wetlands of Lake Baiyangdian

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  • Cuiping Zhao

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Department of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China)

  • Jiaguo Gong

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Department of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China)

  • Qinghui Zeng

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Department of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China)

  • Miao Yang

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Department of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China)

  • Ying Wang

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Department of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China)

Abstract

The spatiotemporal features of land use changes and the evolution process of landscape pattern from 1980 to 2017 were investigated using historical satellite images from a Landsat Thematic Mapper (TM) for 1980, 1990, 2000, 2005, 2010 and 2017 in the wetlands of Lake Baiyangdian in the North China Plain (NCP). Landscape pattern indices were used to quantify landscape changes in wetlands, and a redundancy analysis (RDA) was conducted to analyze the driving forces and quantitatively explain the effects of human activities and natural changes on wetland fragmentation. The results showed that the total wetland area was 234.4 km 2 in 1980 but it decreased by 8.1% at an average decrease rate of 0.5 km 2 per year. The dominant transition between land use types was from natural wetlands to artificial wetlands, and wetland conversion to dry land and residential land. The RDA results suggested that agricultural activities and total population were the main driving factors affecting wetland landscape. Additionally, climate change provided a potentially favorable environment for agricultural development, due to the increased temperatures and decreased wind speeds. Additionally, governmental policy changes and dam construction also played the roles in land use changes.

Suggested Citation

  • Cuiping Zhao & Jiaguo Gong & Qinghui Zeng & Miao Yang & Ying Wang, 2021. "Landscape Pattern Evolution Processes and the Driving Forces in the Wetlands of Lake Baiyangdian," Sustainability, MDPI, vol. 13(17), pages 1-15, August.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:17:p:9747-:d:625615
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    References listed on IDEAS

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    1. Sanneke van Asselen & Peter H Verburg & Jan E Vermaat & Jan H Janse, 2013. "Drivers of Wetland Conversion: a Global Meta-Analysis," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-1, November.
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    Cited by:

    1. Divya Prakash Mohabey & Jenita M. Nongkynrih & Upendra Kumar, 2024. "Urban growth trend analysis of proposed Greater Silchar City, India, using landscape metrics and Shannon entropy model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(10), pages 25335-25366, October.
    2. Mengyuan Li & Xiaobing Li & Siyu Liu & Xin Lyu & Dongliang Dang & Huashun Dou & Kai Wang, 2022. "Analysis of the Spatiotemporal Variation of Landscape Patterns and Their Driving Factors in Inner Mongolia from 2000 to 2015," Land, MDPI, vol. 11(9), pages 1-16, August.
    3. Yan Sun & Xiaoping Ge & Junna Liu & Yuanyuan Chang & Gang-Jun Liu & Fu Chen, 2021. "Mitigating Spatial Conflict of Land Use for Sustainable Wetlands Landscape in Li-Xia-River Region of Central Jiangsu, China," Sustainability, MDPI, vol. 13(20), pages 1-14, October.
    4. Zhiwei Wan & Hongqi Wu, 2022. "Evolution of Ecological Patterns of Poyang Lake Wetland Landscape over the Last One Hundred Years Based on Historical Topographic Maps and Landsat Images," Sustainability, MDPI, vol. 14(13), pages 1-17, June.

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