IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v10y2018i3p863-d136889.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/10/3/863/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/10/3/863/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Allison Thomson & Katherine Calvin & Steven Smith & G. Kyle & April Volke & Pralit Patel & Sabrina Delgado-Arias & Ben Bond-Lamberty & Marshall Wise & Leon Clarke & James Edmonds, 2011. "RCP4.5: a pathway for stabilization of radiative forcing by 2100," Climatic Change, Springer, vol. 109(1), pages 77-94, November.
    2. Wei Zhang & Yubi Zhu & Jingang Jiang, 2016. "Effect of the Urbanization of Wetlands on Microclimate: A Case Study of Xixi Wetland, Hangzhou, China," Sustainability, MDPI, vol. 8(9), pages 1-13, September.
    3. Arias, Mauricio E. & Cochrane, Thomas A. & Kummu, Matti & Lauri, Hannu & Holtgrieve, Gordon W. & Koponen, Jorma & Piman, Thanapon, 2014. "Impacts of hydropower and climate change on drivers of ecological productivity of Southeast Asia's most important wetland," Ecological Modelling, Elsevier, vol. 272(C), pages 252-263.
    4. Vincenzi, Simone & Zucchetta, Matteo & Franzoi, Piero & Pellizzato, Michele & Pranovi, Fabio & De Leo, Giulio A. & Torricelli, Patrizia, 2011. "Application of a Random Forest algorithm to predict spatial distribution of the potential yield of Ruditapes philippinarum in the Venice lagoon, Italy," Ecological Modelling, Elsevier, vol. 222(8), pages 1471-1478.
    5. Detlef Vuuren & Elke Stehfest & Michel Elzen & Tom Kram & Jasper Vliet & Sebastiaan Deetman & Morna Isaac & Kees Klein Goldewijk & Andries Hof & Angelica Mendoza Beltran & Rineke Oostenrijk & Bas Ruij, 2011. "RCP2.6: exploring the possibility to keep global mean temperature increase below 2°C," Climatic Change, Springer, vol. 109(1), pages 95-116, November.
    6. Eric A. Davidson & Ivan A. Janssens, 2006. "Temperature sensitivity of soil carbon decomposition and feedbacks to climate change," Nature, Nature, vol. 440(7081), pages 165-173, March.
    7. Chen, H. & Zhao, Y.W., 2011. "Evaluating the environmental flows of China's Wolonghu wetland and land use changes using a hydrological model, a water balance model, and remote sensing," Ecological Modelling, Elsevier, vol. 222(2), pages 253-260.
    8. Weidong Man & Hao Yu & Lin Li & Mingyue Liu & Dehua Mao & Chunying Ren & Zongming Wang & Mingming Jia & Zhenghong Miao & Chunyan Lu & Huiying Li, 2017. "Spatial Expansion and Soil Organic Carbon Storage Changes of Croplands in the Sanjiang Plain, China," Sustainability, MDPI, vol. 9(4), pages 1-17, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cai, Yiyong & Newth, David & Finnigan, John & Gunasekera, Don, 2015. "A hybrid energy-economy model for global integrated assessment of climate change, carbon mitigation and energy transformation," Applied Energy, Elsevier, vol. 148(C), pages 381-395.
    2. Fujimori, Shinichiro & Dai, Hancheng & Masui, Toshihiko & Matsuoka, Yuzuru, 2016. "Global energy model hindcasting," Energy, Elsevier, vol. 114(C), pages 293-301.
    3. Yan Lu & Haikun Wang & Qin’geng Wang & Yanyan Zhang & Yiyong Yu & Yu Qian, 2017. "Global anthropogenic heat emissions from energy consumption, 1965–2100," Climatic Change, Springer, vol. 145(3), pages 459-468, December.
    4. Amouzou, Kokou Adambounou & Naab, Jesse B. & Lamers, John P.A. & Borgemeister, Christian & Becker, Mathias & Vlek, Paul L.G., 2018. "CROPGRO-Cotton model for determining climate change impacts on yield, water- and N- use efficiencies of cotton in the Dry Savanna of West Africa," Agricultural Systems, Elsevier, vol. 165(C), pages 85-96.
    5. Favero, Alice & Massetti, Emanuele, 2014. "Trade of woody biomass for electricity generation under climate mitigation policy," Resource and Energy Economics, Elsevier, vol. 36(1), pages 166-190.
    6. Ritchie, Justin & Dowlatabadi, Hadi, 2017. "The 1000 GtC coal question: Are cases of vastly expanded future coal combustion still plausible?," Energy Economics, Elsevier, vol. 65(C), pages 16-31.
    7. Zhou, Sheng & Kyle, G. Page & Yu, Sha & Clarke, Leon E. & Eom, Jiyong & Luckow, Patrick & Chaturvedi, Vaibhav & Zhang, Xiliang & Edmonds, James A., 2013. "Energy use and CO2 emissions of China's industrial sector from a global perspective," Energy Policy, Elsevier, vol. 58(C), pages 284-294.
    8. Fujimori, Shinichiro & Masui, Toshihiko & Matsuoka, Yuzuru, 2014. "Development of a global computable general equilibrium model coupled with detailed energy end-use technology," Applied Energy, Elsevier, vol. 128(C), pages 296-306.
    9. 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.
    10. Zhihui Li & Xiangzheng Deng & Xi Chu & Gui Jin & Wei Qi, 2019. "An Outlook on the Biomass Energy Development Out to 2100 in China," Computational Economics, Springer;Society for Computational Economics, vol. 54(4), pages 1359-1377, December.
    11. Silva Herran, Diego & Tachiiri, Kaoru & Matsumoto, Ken'ichi, 2019. "Global energy system transformations in mitigation scenarios considering climate uncertainties," Applied Energy, Elsevier, vol. 243(C), pages 119-131.
    12. Kim, Sojung & Kim, Sumin, 2022. "Hybrid simulation framework for the production management of an ethanol biorefinery," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    13. Zhou, Sheng & Wang, Yu & Zhou, Yuyu & Clarke, Leon E. & Edmonds, James A., 2018. "Roles of wind and solar energy in China’s power sector: Implications of intermittency constraints," Applied Energy, Elsevier, vol. 213(C), pages 22-30.
    14. Nathalie Spittler & Ganna Gladkykh & Arnaud Diemer & Brynhildur Davidsdottir, 2019. "Understanding the Current Energy Paradigm and Energy System Models for More Sustainable Energy System Development," Post-Print hal-02127724, HAL.
    15. Wiltshire, Kathryn H & Tanner, Jason E, 2020. "Comparing maximum entropy modelling methods to inform aquaculture site selection for novel seaweed species," Ecological Modelling, Elsevier, vol. 429(C).
    16. Yuichiro Yoshida & Han Soo Lee & Bui Huy Trung & Hoang-Dung Tran & Mahrjan Keshlav Lall & Kifayatullah Kakar & Tran Dang Xuan, 2020. "Impacts of Mainstream Hydropower Dams on Fisheries and Agriculture in Lower Mekong Basin," Sustainability, MDPI, vol. 12(6), pages 1-21, March.
    17. Md. Zonayet & Alok Kumar Paul & Md. Faisal-E-Alam & Khalid Syfullah & Rui Alexandre Castanho & Daniel Meyer, 2023. "Impact of Biochar as a Soil Conditioner to Improve the Soil Properties of Saline Soil and Productivity of Tomato," Sustainability, MDPI, vol. 15(6), pages 1-18, March.
    18. Yang, Wei & Yang, Zhifeng & Qin, Yan, 2011. "An optimization approach for sustainable release of e-flows for lake restoration and preservation: Model development and a case study of Baiyangdian Lake, China," Ecological Modelling, Elsevier, vol. 222(14), pages 2448-2455.
    19. S . K. Oni & F. Mieres & M. N. Futter & H. Laudon, 2017. "Soil temperature responses to climate change along a gradient of upland–riparian transect in boreal forest," Climatic Change, Springer, vol. 143(1), pages 27-41, July.
    20. Elena A. Mikhailova & Garth R. Groshans & Christopher J. Post & Mark A. Schlautman & Gregory C. Post, 2019. "Valuation of Soil Organic Carbon Stocks in the Contiguous United States Based on the Avoided Social Cost of Carbon Emissions," Resources, MDPI, vol. 8(3), pages 1-15, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:10:y:2018:i:3:p:863-:d:136889. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.