IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i10p4100-d359300.html
   My bibliography  Save this article

Quantitative Assessment of the Relative Impacts of Land Use and Climate Change on the Key Ecosystem Services in the Hengduan Mountain Region, China

Author

Listed:
  • Erfu Dai

    (Lhasa Plateau Ecosystem Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Le Yin

    (University of Chinese Academy of Sciences, Beijing 100049, China
    Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Yahui Wang

    (Lhasa Plateau Ecosystem Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Liang Ma

    (Lhasa Plateau Ecosystem Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Miao Tong

    (Lhasa Plateau Ecosystem Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

Abstract

In the Hengduan Mountain region, soil erosion is the most serious ecological environmental problem. Understanding the impact mechanism of water yield and soil erosion is essential to optimize ecosystem management and improve ecosystem services. This study used the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) and Revised Universal Soil Loss Equation (RUSLE) models to separate the relative contributions of land use and climate change to water yield and soil erosion. The results revealed that: (1) Although soil and water conservation has been strengthened in the past 25 years, both water yield and soil erosion increased from 2010 to 2015 due to the conversion of woodland to grassland, which indicates that continuous benefits after the implementation of ecological restoration projects were not obtained; (2) Climate change played a decisive role in water yield and soil erosion changes in the Hengduan Mountain region from 1990 to 2015, and soil erosion was not only related to the amount of precipitation but also closely related to precipitation intensity; (3) The contribution of land use and climate change to water yield was 26.94% and 73.06%, while for soil erosion, the contribution of land use and climate change was 16.23% and 83.77%, respectively.

Suggested Citation

  • Erfu Dai & Le Yin & Yahui Wang & Liang Ma & Miao Tong, 2020. "Quantitative Assessment of the Relative Impacts of Land Use and Climate Change on the Key Ecosystem Services in the Hengduan Mountain Region, China," Sustainability, MDPI, vol. 12(10), pages 1-18, May.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:10:p:4100-:d:359300
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/10/4100/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/10/4100/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yang Liu & Jun Bi & Jianshu Lv, 2018. "Future Impacts of Climate Change and Land Use on Multiple Ecosystem Services in a Rapidly Urbanizing Agricultural Basin, China," Sustainability, MDPI, vol. 10(12), pages 1-23, December.
    2. Robert Mendelsohn & Ariel Dinar, 2009. "Land Use and Climate Change Interactions," Annual Review of Resource Economics, Annual Reviews, vol. 1(1), pages 309-332, September.
    3. Johannes Reiche & Richard Lucas & Anthea L. Mitchell & Jan Verbesselt & Dirk H. Hoekman & Jörg Haarpaintner & Josef M. Kellndorfer & Ake Rosenqvist & Eric A. Lehmann & Curtis E. Woodcock & Frank Marti, 2016. "Combining satellite data for better tropical forest monitoring," Nature Climate Change, Nature, vol. 6(2), pages 120-122, February.
    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. Chao Yang & Jianrong Fan & Jiali Liu & Fubao Xu & Xiyu Zhang, 2021. "Evaluating the Dominant Controls of Water Erosion in Three Dry Valley Types Using the RUSLE and Geodetector Method," Land, MDPI, vol. 10(12), pages 1-16, November.
    2. Le Yin & Erfu Dai & Guopan Xie & Baolei Zhang, 2021. "Effects of Land-Use Intensity and Land Management Policies on Evolution of Regional Land System: A Case Study in the Hengduan Mountain Region," Land, MDPI, vol. 10(5), pages 1-13, May.
    3. Chunguang Sheng & Guangyu Wang & Yude Geng & Lirong Chen, 2020. "The Correlation Analysis of Futures Pricing Mechanism in China’s Carbon Financial Market," Sustainability, MDPI, vol. 12(18), pages 1-20, September.
    4. Mauro Francini & Lucia Chieffallo & Annunziata Palermo & Maria Francesca Viapiana, 2020. "A Method for the Definition of Local Vulnerability Domains to Climate Change and Relate Mapping. Two Case Studies in Southern Italy," Sustainability, MDPI, vol. 12(22), pages 1-26, November.
    5. Josias Sanou & Anna Tengberg & Hugues Roméo Bazié & David Mingasson & Madelene Ostwald, 2023. "Assessing Trade-Offs between Agricultural Productivity and Ecosystem Functions: A Review of Science-Based Tools?," Land, MDPI, vol. 12(7), pages 1-22, June.
    6. Le Yin & Shumin Zhang & Baolei Zhang, 2022. "Do Ecological Restoration Projects Improve Water-Related Ecosystem Services? Evidence from a Study in the Hengduan Mountain Region," IJERPH, MDPI, vol. 19(7), pages 1-14, March.
    7. Manuel López-Vicente & Elena Calvo-Seas & Sara Álvarez & Artemi Cerdà, 2020. "Effectiveness of Cover Crops to Reduce Loss of Soil Organic Matter in a Rainfed Vineyard," Land, MDPI, vol. 9(7), pages 1-16, July.

    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. Sipei Pan & Jiale Liang & Wanxu Chen & Jiangfeng Li & Ziqi Liu, 2021. "Gray Forecast of Ecosystem Services Value and Its Driving Forces in Karst Areas of China: A Case Study in Guizhou Province, China," IJERPH, MDPI, vol. 18(23), pages 1-20, November.
    2. Hodjo, Manzamasso & Dalton, Timothy & Nakelse, Tebila, 2021. "Cereal Land Allocation Under Weather and Price Uncertainties in West Africa," 2021 Conference, August 17-31, 2021, Virtual 315177, International Association of Agricultural Economists.
    3. McFadden, Jonathan & Miranowski, John, "undated". "Climate Change Impacts on the Intensive and Extensive Margins of US Agricultural Land," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170512, Agricultural and Applied Economics Association.
    4. McFadden, Jonathan R., 2015. "Essays on climate change adaptation and biotechnologies in U.S. agriculture," ISU General Staff Papers 201501010800005635, Iowa State University, Department of Economics.
    5. Yasin Bektaş & Adem Sakarya, 2023. "The Relationship between the Built Environment and Climate Change: The Case of Turkish Provinces," Sustainability, MDPI, vol. 15(2), pages 1-14, January.
    6. Odozi, John C., 2015. "The economic impact of climate change on small farms in Nigeria: A Ricardian approach," MPRA Paper 68188, University Library of Munich, Germany.
    7. Upadhaya, Suraj & Dwivedi, Puneet, 2019. "The role and potential of blueberry in increasing deforestation in southern Georgia, United States," Agricultural Systems, Elsevier, vol. 173(C), pages 39-48.
    8. Yan, Dan & Schneider, Uwe A. & Schmid, Erwin & Huang, He Qing & Pan, Lihu & Dilly, Oliver, 2013. "Interactions between land use change, regional development, and climate change in the Poyang Lake district from 1985 to 2035," Agricultural Systems, Elsevier, vol. 119(C), pages 10-21.
    9. Sabrina Auci & Andrea Pronti, 2020. "Innovation in Irrigation Technologies for Sustainable Agriculture: An Endogenous Switching Analysis on Italian Farms’ Land Productivity," SEEDS Working Papers 1220, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Dec 2020.
    10. André Alves & Filipe Marcelino & Eduardo Gomes & Jorge Rocha & Mário Caetano, 2022. "Spatiotemporal Land-Use Dynamics in Continental Portugal 1995–2018," Sustainability, MDPI, vol. 14(23), pages 1-29, November.
    11. Asfaw, Solomon & Pallante, Giacomo & Palma, Alessandro, 2020. "Distributional impacts of soil erosion on agricultural productivity and welfare in Malawi," Ecological Economics, Elsevier, vol. 177(C).
    12. McCarl, Bruce A. & Attavanich, Witsanu & Musumba, Mark & Mu, Jianhong E. & Aisabokhae, Ruth, 2011. "Land Use and Climate Change," MPRA Paper 83993, University Library of Munich, Germany, revised 2014.
    13. Sung Ju Cho & Bruce McCarl, 2021. "Major United States Land Use as Influenced by an Altering Climate: A Spatial Econometric Approach," Land, MDPI, vol. 10(5), pages 1-16, May.
    14. Butsic, Van & Schwab, Benjamin & Baumann, Matthias & Brenner, Jacob C., 2017. "Inside the Emerald Triangle: Modeling the Placement and Size of Cannabis Production in Humboldt County, CA USA," Ecological Economics, Elsevier, vol. 142(C), pages 70-80.
    15. Samuele, De Petris & Federica, Ghilardi & Filippo, Sarvia & Enrico, Borgogno-Mondino, 2022. "A simplified method for water depth mapping over crops during flood based on Copernicus and DTM open data," Agricultural Water Management, Elsevier, vol. 269(C).
    16. Catherine Ticehurst & Zheng-Shu Zhou & Eric Lehmann & Fang Yuan & Medhavy Thankappan & Ake Rosenqvist & Ben Lewis & Matt Paget, 2019. "Building a SAR-Enabled Data Cube Capability in Australia Using SAR Analysis Ready Data," Data, MDPI, vol. 4(3), pages 1-19, July.

    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:12:y:2020:i:10:p:4100-:d:359300. 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.