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Predicting Wetland Distribution Changes under Climate Change and Human Activities in a Mid- and High-Latitude Region

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  • Dandan Zhao

    (School of Geographical Sciences, Northeast Normal University, Changchun 130024, China)

  • Hong S. He

    (School of Geographical Sciences, Northeast Normal University, Changchun 130024, China
    School of Natural Resources, University of Missouri, Columbia, MO 65211, USA)

  • Wen J. Wang

    (Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China)

  • Lei Wang

    (Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China)

  • Haibo Du

    (School of Geographical Sciences, Northeast Normal University, Changchun 130024, China)

  • Kai Liu

    (School of Geographical Sciences, Northeast Normal University, Changchun 130024, China)

  • Shengwei Zong

    (School of Geographical Sciences, Northeast Normal University, Changchun 130024, China)

Abstract

Wetlands in the mid- and high-latitudes are particularly vulnerable to environmental changes and have declined dramatically in recent decades. Climate change and human activities are arguably the most important factors driving wetland distribution changes which will have important implications for wetland ecological functions and services. We analyzed the importance of driving variables for wetland distribution and investigated the relative importance of climatic factors and human activity factors in driving historical wetland distribution changes. We predicted wetland distribution changes under climate change and human activities over the 21st century using the Random Forest model in a mid- and high-latitude region of Northeast China. Climate change scenarios included three Representative Concentration Pathways (RCPs) based on five general circulation models (GCMs) downloaded from the Coupled Model Intercomparison Project, Phase 5 (CMIP5). The three scenarios (RCP 2.6, RCP 4.5, and RCP 8.5) predicted radiative forcing to peak at 2.6, 4.5, and 8.5 W/m 2 by the 2100s, respectively. Our results showed that the variables with high importance scores were agricultural population proportion, warmness index, distance to water body, coldness index, and annual mean precipitation; climatic variables were given higher importance scores than human activity variables on average. Average predicted wetland area among three emission scenarios were 340,000 ha, 123,000 ha, and 113,000 ha for the 2040s, 2070s, and 2100s, respectively. Average change percent in predicted wetland area among three periods was greatest under the RCP 8.5 emission scenario followed by RCP 4.5 and RCP 2.6 emission scenarios, which were 78%, 64%, and 55%, respectively. Losses in predicted wetland distribution were generally around agricultural lands and expanded continually from the north to the whole region over time, while the gains were mostly associated with grasslands and water in the most southern region. In conclusion, climatic factors had larger effects than human activity factors on historical wetland distribution changes and wetland distributions were predicted to decline remarkably over time under climate change scenarios. Our findings have important implications for wetland resource management and restoration because predictions of future wetland changes are needed for wetlands management planning.

Suggested Citation

  • Dandan Zhao & Hong S. He & Wen J. Wang & Lei Wang & Haibo Du & Kai Liu & Shengwei Zong, 2018. "Predicting Wetland Distribution Changes under Climate Change and Human Activities in a Mid- and High-Latitude Region," Sustainability, MDPI, vol. 10(3), pages 1-14, March.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:3:p:863-:d:136889
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    References listed on IDEAS

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    Cited by:

    1. Erqi Xu & Yimeng Chen, 2019. "Modeling Intersecting Processes of Wetland Shrinkage and Urban Expansion by a Time-Varying Methodology," Sustainability, MDPI, vol. 11(18), pages 1-24, September.
    2. Arayaselassie Abebe Semu & Tamrat Bekele & Ermias Lulekal & Paloma Cariñanos & Sileshi Nemomissa, 2021. "Projected Impact of Climate Change on Habitat Suitability of a Vulnerable Endemic Vachellia negrii (pic.serm.) kyal. & Boatwr (Fabaceae) in Ethiopia," Sustainability, MDPI, vol. 13(20), pages 1-16, October.
    3. Dandan Zhao & Hong S. He & Wen J. Wang & Jiping Liu & Haibo Du & Miaomiao Wu & Xinyuan Tan, 2018. "Distribution and Driving Factors of Forest Swamp Conversions in a Cold Temperate Region," IJERPH, MDPI, vol. 15(10), pages 1-14, September.
    4. Yongcai Dang & Hongshi He & Dandan Zhao & Michael Sunde & Haibo Du, 2020. "Quantifying the Relative Importance of Climate Change and Human Activities on Selected Wetland Ecosystems in China," Sustainability, MDPI, vol. 12(3), pages 1-17, January.
    5. H. Oğuz Çoban & Ömer K. Örücü & E. Seda Arslan, 2020. "MaxEnt Modeling for Predicting the Current and Future Potential Geographical Distribution of Quercus libani Olivier," Sustainability, MDPI, vol. 12(7), pages 1-17, March.

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