IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v9y2017i5p708-d97115.html

Modeling the Relative Contributions of Land Use Change and Harvest to Forest Landscape Change in the Taihe County, China

Author

Listed:
  • Zhuo Wu

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

  • Quansheng Ge

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

  • Erfu Dai

    (Key Laboratory of Land Surface Pattern and Simulation, 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

Forests are under pressure from land use change due to anthropogenic activities. Land use change and harvest are the main disturbances of forest landscape changes. Few studies have focused on the relative contributions of different disturbances. In this study, we used the CA-Markov model, a land-use change model, coupled with a forest landscape model, LANDIS-II, to simulate dynamic change in Taihe County, China, from 2010 to 2050. Scenarios analysis was conducted to quantify the relative contributions of land use change and harvest. Our results show that forestland and arable land will remain the primary land-use types in 2050, whereas the built-up land will sprawl drastically. Land use change and harvest may result in the significant loss of forest area and changes in landscape structure. The simulated forest area will increase by 16.2% under the no disturbance scenario. However, under harvest, forest conversion, and integrated scenario, the area will be reduced by 5.2%, 16.5%, and 34.9%, respectively. The effect of harvest is gradually enhanced. The land use change will account for 60% and harvest will account for 40% of forest landscape change in 2050, respectively. Our results may benefit from the integration of regional forest management and land-use policy-making, and help to achieve a trade-off between economy and ecological environment.

Suggested Citation

  • Zhuo Wu & Quansheng Ge & Erfu Dai, 2017. "Modeling the Relative Contributions of Land Use Change and Harvest to Forest Landscape Change in the Taihe County, China," Sustainability, MDPI, vol. 9(5), pages 1-17, April.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:5:p:708-:d:97115
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/9/5/708/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/9/5/708/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ninan, K.N. & Inoue, Makoto, 2013. "Valuing forest ecosystem services: What we know and what we don't," Ecological Economics, Elsevier, vol. 93(C), pages 137-149.
    2. Scheller, Robert M. & Domingo, James B. & Sturtevant, Brian R. & Williams, Jeremy S. & Rudy, Arnold & Gustafson, Eric J. & Mladenoff, David J., 2007. "Design, development, and application of LANDIS-II, a spatial landscape simulation model with flexible temporal and spatial resolution," Ecological Modelling, Elsevier, vol. 201(3), pages 409-419.
    3. Helen Briassoulis, 2000. "Analysis of Land Use Change: Theoretical and Modeling Approaches," Wholbk, Regional Research Institute, West Virginia University, number 17, Fall.
    4. de Bruijn, Arjan & Gustafson, Eric J. & Sturtevant, Brian R. & Foster, Jane R. & Miranda, Brian R. & Lichti, Nathanael I. & Jacobs, Douglass F., 2014. "Toward more robust projections of forest landscape dynamics under novel environmental conditions: Embedding PnET within LANDIS-II," Ecological Modelling, Elsevier, vol. 287(C), pages 44-57.
    5. Yang, Xin & Zheng, Xin-Qi & Chen, Rui, 2014. "A land use change model: Integrating landscape pattern indexes and Markov-CA," Ecological Modelling, Elsevier, vol. 283(C), pages 1-7.
    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. Piotr Krajewski & Iga Solecka & Karol Mrozik, 2018. "Forest Landscape Change and Preliminary Study on Its Driving Forces in Ślęża Landscape Park (Southwestern Poland) in 1883–2013," Sustainability, MDPI, vol. 10(12), pages 1-21, November.
    2. T. V. Ramachandra & Bharath Setturu, 2019. "Sustainable Management of Bannerghatta National Park, India, with the Insights in Land Cover Dynamics," FIIB Business Review, , vol. 8(2), pages 118-131, June.
    3. Yang Ren & Jari Kuuluvainen & Anne Toppinen & Shunbo Yao & Sami Berghäll & Heimo Karppinen & Caixia Xue & Liu Yang, 2018. "The Effect of China’s New Circular Collective Forest Tenure Reform on Household Non-Timber Forest Product Production in Natural Forest Protection Project Regions," Sustainability, MDPI, vol. 10(4), pages 1-17, April.
    4. Zhuo Wu & Erfu Dai & Wenchuan Guan, 2020. "Modeling Subtropical Forest Changes under Climate Change and Close-to-Nature Silviculture: Is There a Tipping Point in an Uncertain Future in Southern China?," Sustainability, MDPI, vol. 12(17), pages 1-14, August.

    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. Zhou, Zaixing & Gustafson, Eric J. & Ollinger, Scott V. & Ouimette, Andrew P. & Miranda, Brian R. & Duveneck, Matthew J. & Foster, Jane R. & Sturtevant, Brian R. & Bronson, Dustin R. & Laflower, Danel, 2025. "Integrating nitrogen and carbon cycling into LANDIS-II/PnET-Succession to improve forest landscape modeling: methods and sensitivity analyses," Ecological Modelling, Elsevier, vol. 510(C).
    2. Nij Tontisirin & Sutee Anantsuksomsri, 2021. "Economic Development Policies and Land Use Changes in Thailand: From the Eastern Seaboard to the Eastern Economic Corridor," Sustainability, MDPI, vol. 13(11), pages 1-20, May.
    3. Gustafson, Eric J. & Sturtevant, Brian R. & Miranda, Brian R. & Duveneck, Matthew J., 2024. "Overcoming conceptual hurdles to accurately represent trees as cohorts in forest landscape models," Ecological Modelling, Elsevier, vol. 490(C).
    4. Zhao, Jianheng & Daigneault, Adam & Weiskittel, Aaron & Wei, Xinyuan, 2023. "Climate and socioeconomic impacts on Maine's forests under alternative future pathways," Ecological Economics, Elsevier, vol. 214(C).
    5. Nguyen, Minh Duc & Ancev, Tiho & Randall, Alan, 2020. "Forest governance and economic values of forest ecosystem services in Vietnam," Land Use Policy, Elsevier, vol. 97(C).
    6. Simons-Legaard, Erin & Legaard, Kasey & Weiskittel, Aaron, 2021. "Projecting complex interactions between forest harvest and succession in the northern Acadian Forest Region," Ecological Modelling, Elsevier, vol. 456(C).
    7. Ameray, Abderrahmane & Cavard, Xavier & Cyr, Dominic & Valeria, Osvaldo & Girona, Miguel Montoro & Bergeron, Yves, 2024. "One century of carbon dynamics in the eastern Canadian boreal forest under various management strategies and climate change projections," Ecological Modelling, Elsevier, vol. 498(C).
    8. Cécile C. Remy & Alisa R. Keyser & Dan J. Krofcheck & Marcy E. Litvak & Matthew D. Hurteau, 2021. "Future fire-driven landscape changes along a southwestern US elevation gradient," Climatic Change, Springer, vol. 166(3), pages 1-20, June.
    9. Yang, Yuanyuan & Bao, Wenkai & Liu, Yansui, 2020. "Scenario simulation of land system change in the Beijing-Tianjin-Hebei region," Land Use Policy, Elsevier, vol. 96(C).
    10. Tan Li & Qingguo Zhang & Ying Zhang, 2018. "Modelling a Compensation Standard for a Regional Forest Ecosystem: A Case Study in Yanqing District, Beijing, China," IJERPH, MDPI, vol. 15(4), pages 1-20, March.
    11. Seidl, Rupert & Fernandes, Paulo M. & Fonseca, Teresa F. & Gillet, François & Jönsson, Anna Maria & Merganičová, Katarína & Netherer, Sigrid & Arpaci, Alexander & Bontemps, Jean-Daniel & Bugmann, Hara, 2011. "Modelling natural disturbances in forest ecosystems: a review," Ecological Modelling, Elsevier, vol. 222(4), pages 903-924.
    12. Ager, Alan A. & Barros, Ana M.G. & Day, Michelle A. & Preisler, Haiganoush K. & Spies, Thomas A. & Bolte, John, 2018. "Analyzing fine-scale spatiotemporal drivers of wildfire in a forest landscape model," Ecological Modelling, Elsevier, vol. 384(C), pages 87-102.
    13. Hashem Dadashpoor & Neda Malekzadeh & Sadegh Saeidishirvan, 2023. "A typology of metropolitan spatial structure: a systematic review," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(12), pages 13667-13693, December.
    14. Ahammad, Ronju & Stacey, Natasha & Sunderland, Terry C.H., 2019. "Use and perceived importance of forest ecosystem services in rural livelihoods of Chittagong Hill Tracts, Bangladesh," Ecosystem Services, Elsevier, vol. 35(C), pages 87-98.
    15. Wang, Qinying & He, Hong S. & Liu, Kai & Zong, Shengwei & Du, Haibo, 2023. "Comparing simulated tree biomass from daily, monthly, and seasonal climate input of terrestrial ecosystem model," Ecological Modelling, Elsevier, vol. 483(C).
    16. Liu, Zhaoyang & Hanley, Nick & Campbell, Danny, 2020. "Linking urban air pollution with residents’ willingness to pay for greenspace: A choice experiment study in Beijing," Journal of Environmental Economics and Management, Elsevier, vol. 104(C).
    17. Yusuyunjiang Mamitimin & Zibibula Simayi & Ayinuer Mamat & Bumairiyemu Maimaiti & Yunfei Ma, 2023. "FLUS Based Modeling of the Urban LULC in Arid and Semi-Arid Region of Northwest China: A Case Study of Urumqi City," Sustainability, MDPI, vol. 15(6), pages 1-14, March.
    18. Suich, Helen & Howe, Caroline & Mace, Georgina, 2015. "Ecosystem services and poverty alleviation: A review of the empirical links," Ecosystem Services, Elsevier, vol. 12(C), pages 137-147.
    19. Hérivaux, Cécile & Grémont, Marine, 2019. "Valuing a diversity of ecosystem services: The way forward to protect strategic groundwater resources for the future?," Ecosystem Services, Elsevier, vol. 35(C), pages 184-193.
    20. Lucash, Melissa S. & Marshall, Adrienne M. & Weiss, Shelby A. & McNabb, John W. & Nicolsky, Dmitry J. & Flerchinger, Gerald N. & Link, Timothy E. & Vogel, Jason G. & Scheller, Robert M. & Abramoff, Ro, 2023. "Burning trees in frozen soil: Simulating fire, vegetation, soil, and hydrology in the boreal forests of Alaska," Ecological Modelling, Elsevier, vol. 481(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:9:y:2017:i:5:p:708-:d:97115. 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.