IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v14y2025i4p694-d1620033.html
   My bibliography  Save this article

Simulation and Analysis of Changes in Carbon Storage and Ecosystem Services Against the Backdrop of Land Transfer: A Case Study in Lvzenong Park

Author

Listed:
  • Nan Chen

    (School of Management, Hebei University, Baoding 071002, China)

  • Wanqing Nie

    (Department of Economic Management, North China Electric Power University, Baoding 071003, China)

  • Weiguo Fan

    (Department of Economic Management, North China Electric Power University, Baoding 071003, China)

Abstract

Land transfer is a key issue affecting ecosystem services and carbon storage. Land use change can promote or inhibit carbon emission. To study these impacts, a carbon flow model for Lvzenong Park, Yi County, Taihang Mountains, China, was developed using Odum’s energy systems language. The model simulates carbon flow and storage changes from 2015 to 2115 and analyzes changes in ecosystem service values using the equivalent factor method. Finally, two scenarios of economic development and carbon sink protection are set, and the evolution characteristics of carbon storage and ecosystem service under different scenarios are discussed. The key findings include the following: (1) From 2015 to 2115, carbon storage in apple orchards, forests, and grassland systems initially increase then decrease, while soil carbon storage declines steadily and the overall atmospheric CO 2 carbon pool increases. Ecosystem service value decreases by 71.30%. (2) Economic development positively affects apple orchards and atmospheric CO 2 carbon storage but negatively impacts grassland carbon storage. Conversely, carbon sink protection benefits grassland and soil carbon storage but harms the atmospheric CO 2 carbon pool. (3) Under economic development, ecosystem service values initially increase then decline, while under carbon sink protection, they generally rise. These findings provide scientific guidance for formulating land transfer policies and promoting low-carbon development in mountainous regions.

Suggested Citation

  • Nan Chen & Wanqing Nie & Weiguo Fan, 2025. "Simulation and Analysis of Changes in Carbon Storage and Ecosystem Services Against the Backdrop of Land Transfer: A Case Study in Lvzenong Park," Land, MDPI, vol. 14(4), pages 1-26, March.
    • Handle: RePEc:gam:jlands:v:14:y:2025:i:4:p:694-:d:1620033
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/14/4/694/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/14/4/694/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhang, Lan & Feng, Shuyi & Heerink, Nico & Qu, Futian & Kuyvenhoven, Arie, 2018. "How do land rental markets affect household income? Evidence from rural Jiangsu, P.R. China," Land Use Policy, Elsevier, vol. 74(C), pages 151-165.
    2. Rivera, Elmer Ccopa & de Queiroz, Julio Ferraz & Ferraz, José Maria & Ortega, Enrique, 2007. "Systems models to evaluate eutrophication in the Broa Reservoir, São Carlos, Brazil," Ecological Modelling, Elsevier, vol. 202(3), pages 518-526.
    3. Xu, Zihan & Wei, Hejie & Fan, Weiguo & Wang, Xuechao & Huang, Bingling & Lu, Nachuan & Ren, Jiahui & Dong, Xiaobin, 2018. "Energy modeling simulation of changes in ecosystem services before and after the implementation of a Grain-for-Green program on the Loess Plateau—A case study of the Zhifanggou valley in Ansai County,," Ecosystem Services, Elsevier, vol. 31(PA), pages 32-43.
    4. Weiguo Fan & Nan Chen & Wei Yao & Mengmeng Meng & Xuechao Wang, 2021. "Integrating Environmental Impact and Ecosystem Services in the Process of Land Resource Capitalization—A Case Study of Land Transfer in Fuping, Hebei," Sustainability, MDPI, vol. 13(5), pages 1-18, March.
    5. Wang, Bo & Li, Fan & Feng, Shuyi & Shen, Tong, 2020. "Transfer of development rights, farmland preservation, and economic growth: a case study of Chongqing’s land quotas trading program," Land Use Policy, Elsevier, vol. 95(C).
    6. Liu, Yu & Yan, Binjian & Wang, Yue & Zhou, Yingheng, 2019. "Will land transfer always increase technical efficiency in China?—A land cost perspective," Land Use Policy, Elsevier, vol. 82(C), pages 414-421.
    7. Meseret C. Abate & Zhen He & Baozhong Cai & Yuangji Huang & Geremew Betelhemabraham & Tesfaye Bayu & Amsalu K. Addis, 2024. "Environmental Impact of Agricultural Land Transfer in China: A Systematic Review on Sustainability," Sustainability, MDPI, vol. 16(15), pages 1-25, July.
    8. Su, Baozhong & Li, Yuheng & Li, Lequn & Wang, Yue, 2018. "How does nonfarm employment stability influence farmers' farmland transfer decisions? Implications for China’s land use policy," Land Use Policy, Elsevier, vol. 74(C), pages 66-72.
    9. Wu, Xutong & Wang, Shuai & Fu, Bojie & Liu, Yu & Zhu, Yuan, 2018. "Land use optimization based on ecosystem service assessment: A case study in the Yanhe watershed," Land Use Policy, Elsevier, vol. 72(C), pages 303-312.
    10. Zhihua Leng & Yana Wang & Xinshuo Hou, 2021. "Structural and Efficiency Effects of Land Transfers on Food Planting: A Comparative Perspective on North and South of China," Sustainability, MDPI, vol. 13(6), pages 1-18, March.
    11. Lopion, Peter & Markewitz, Peter & Robinius, Martin & Stolten, Detlef, 2018. "A review of current challenges and trends in energy systems modeling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 156-166.
    12. Weiguo Fan & Wei Yao & Kehan Chen, 2023. "Integrating Energy Systems Language and Emergy Approach to Simulate and Analyze the Energy Flow Process of Land Transfer," Land, MDPI, vol. 12(5), pages 1-24, May.
    Full references (including those not matched with items on IDEAS)

    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. Weiguo Fan & Wei Yao & Kehan Chen, 2023. "Integrating Energy Systems Language and Emergy Approach to Simulate and Analyze the Energy Flow Process of Land Transfer," Land, MDPI, vol. 12(5), pages 1-24, May.
    2. Zhang, Yuanxia & Halder, Pradipta & Zhang, Xiaoning & Qu, Mei, 2020. "Analyzing the deviation between farmers' Land transfer intention and behavior in China's impoverished mountainous Area: A Logistic-ISM model approach," Land Use Policy, Elsevier, vol. 94(C).
    3. Meseret Abatechanie & Baozhong Cai & Fang Shi & Yuanji Huang, 2022. "The Environmental and Socio-Economic Effect of Farmland Management Right Transfer in China: A Systematic Review," Land, MDPI, vol. 11(8), pages 1-21, August.
    4. Lili Chen & Hongsheng Chen & Chaohui Zou & Ye Liu, 2021. "The Impact of Farmland Transfer on Rural Households’ Income Structure in the Context of Household Differentiation: A Case Study of Heilongjiang Province, China," Land, MDPI, vol. 10(4), pages 1-20, April.
    5. Li, Bowei & Shen, Yueqin, 2021. "Effects of land transfer quality on the application of organic fertilizer by large-scale farmers in China," Land Use Policy, Elsevier, vol. 100(C).
    6. Qianru Yu & Chen-Chieh Feng & NuanYin Xu & Luo Guo & Dan Wang, 2019. "Quantifying the Impact of Grain for Green Program on Ecosystem Service Management: A Case Study of Exibei Region, China," IJERPH, MDPI, vol. 16(13), pages 1-17, June.
    7. Xiaolin Guo & Guanming Shi & Linyi Zheng & Wenrong Qian, 2022. "How Does the Land Rental Market Participation Affect Household Efficiency? Evidence from Rural China," IJERPH, MDPI, vol. 19(23), pages 1-14, December.
    8. Shichao Yuan & Jian Wang, 2022. "Involution Effect: Does China’s Rural Land Transfer Market Still Have Efficiency?," Land, MDPI, vol. 11(5), pages 1-18, May.
    9. Wenjing Han & Zhengfeng Zhang & Xiaoling Zhang & Li He, 2021. "Farmland Rental Participation, Agricultural Productivity, and Household Income: Evidence from Rural China," Land, MDPI, vol. 10(9), pages 1-22, August.
    10. Peng Wang & Fanzhi Wang, 2022. "A study of the impact of land transfer decisions on household income in rural China," PLOS ONE, Public Library of Science, vol. 17(10), pages 1-17, October.
    11. Yuanjie Zhang & Shichao Yuan & Jian Wang & Jian Cheng & Daolin Zhu, 2022. "How Do the Different Types of Land Costs Affect Agricultural Crop-Planting Selections in China?," Land, MDPI, vol. 11(11), pages 1-18, October.
    12. Gao, Jia & Song, Ge & Sun, Xueqing, 2020. "Does labor migration affect rural land transfer? Evidence from China," Land Use Policy, Elsevier, vol. 99(C).
    13. Lian Ke & Shan Cheng & Diqiang Chen & Ying Li, 2023. "Why Is the Income Effect of Farmland Transfer Inconsistent between Transferred-Out and Transferred-In Households?," Sustainability, MDPI, vol. 15(9), pages 1-19, April.
    14. Bin Yang & Zhanqi Wang & Bo Zhang & Di Zhang, 2020. "Allocation Efficiency, Influencing Factors and Optimization Path of Rural Land Resources: A Case Study in Fang County of Hubei Province, China," IJERPH, MDPI, vol. 17(16), pages 1-16, August.
    15. Fei, Rilong & Lin, Ziyi & Chunga, Joseph, 2021. "How land transfer affects agricultural land use efficiency: Evidence from China’s agricultural sector," Land Use Policy, Elsevier, vol. 103(C).
    16. Jianghua Guan & Ke Huang & Xi Lan & Junfeng Zhang & Huiqin Li, 2022. "Impact of Confirmation of Farmland Rights on Farmers’ Welfare: Based on the Micro-Empirical Investigation of Farmers in China," Sustainability, MDPI, vol. 14(15), pages 1-13, August.
    17. Jundong Hu & Hong Wang & Yu Song, 2023. "Spatio-Temporal Evolution and Driving Factors of “Non-Grain Production” in Hubei Province Based on a Non-Grain Index," Sustainability, MDPI, vol. 15(11), pages 1-19, June.
    18. Chaozheng Zhang & Danling Chen, 2021. "Fragmentation Reduction through Farmer-Led Land Transfer and Consolidation? Experiences of Rice Farmers in Wuhan Metropolitan Area, China," Agriculture, MDPI, vol. 11(7), pages 1-14, July.
    19. Chen, Dengshuai & Li, Jing & Yang, Xiaonan & Zhou, Zixiang & Pan, Yuqi & Li, Manchun, 2020. "Quantifying water provision service supply, demand and spatial flow for land use optimization: A case study in the YanHe watershed," Ecosystem Services, Elsevier, vol. 43(C).
    20. Jia Gao & Rongrong Zhao & Xiao Lyu, 2022. "Is There Herd Effect in Farmers’ Land Transfer Behavior?," Land, MDPI, vol. 11(12), pages 1-15, December.

    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:jlands:v:14:y:2025:i:4:p:694-:d:1620033. 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.