IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v14y2025i4p798-d1629889.html
   My bibliography  Save this article

Application of Forest Integrity Assessment to Determine Community Diversity in Plantation Forests Managed Under Carbon Sequestration Projects in the Western Qinba Mountains, China

Author

Listed:
  • Chun-Jing Wang

    (Sichuan Academy of Forestry, Chengdu 610081, China
    Sichuan Provincial Forestry and Grassland Key Laboratory of Combating Desertilicatlon, Chengdu 610081, China)

  • Dong-Zhou Deng

    (Sichuan Academy of Forestry, Chengdu 610081, China
    Sichuan Provincial Forestry and Grassland Key Laboratory of Combating Desertilicatlon, Chengdu 610081, China)

  • Wu-Xian Yan

    (Sichuan Academy of Forestry, Chengdu 610081, China
    Sichuan Provincial Forestry and Grassland Key Laboratory of Combating Desertilicatlon, Chengdu 610081, China)

  • Zhi-Wen Gao

    (Climate Bridge Ltd. (Shanghai), Shanghai 200120, China)

  • Shan-Feng Huang

    (Climate Bridge Ltd. (Shanghai), Shanghai 200120, China)

  • Ji-Zhong Wan

    (Key Laboratory of Mountain Surface Processes and Ecological Regulation, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610299, China)

Abstract

The development of carbon sequestration projects in plantation forests has the potential to offer win–win outcomes for the environment and economy. The Climate, Community, and Biodiversity (CCB) Standards ensure that a particular forest project will deliver tangible climate, community, and biodiversity benefits. According to the CCB Standards, it is necessary to assess community diversity in plantation forests. Our study provides indicators of community diversity based on Forest Integrity Assessment (FIA) according to the CCB Standards for carbon sequestration projects in Tianshui City, Gansu Province, China, which is located in the western Qinba Mountains. Herein, we estimated plantation forest conditions based on a forest condition assessment. Linear regression models were used to explore the relationships between FIA scores and community diversity (such as species richness, Shannon–Wiener index, inverse Simpson’s index, and Pielou’s evenness index quantified by species abundance) in plantation forests managed under carbon sequestration projects. The high community diversity reaches the CCB Standards. FIA scores were closely associated with Pielou’s evenness index of plant communities in plantation forests managed under carbon sequestration projects (R 2 = 0.104; mean square error = 0.014; standard error = 0.104; p = 0.012). A complex topography had positive effects on species richness, while a rich standing condition had negative effects on the Shannon–Wiener index. Forest conditions have been used as indicators of community diversity in plantation forests managed under carbon sequestration projects. The occurrence of climber and animal species should be used as indicators for enhancing community diversity to meet the CCB Standards. Furthermore, plant species richness benefits from a complex topography. However, our study had the limitation that the FIA could not cover the full range of environmental conditions. Our study provides a practical reference for applying the CCB Standards to plantation forests managed under carbon sequestration projects.

Suggested Citation

  • Chun-Jing Wang & Dong-Zhou Deng & Wu-Xian Yan & Zhi-Wen Gao & Shan-Feng Huang & Ji-Zhong Wan, 2025. "Application of Forest Integrity Assessment to Determine Community Diversity in Plantation Forests Managed Under Carbon Sequestration Projects in the Western Qinba Mountains, China," Land, MDPI, vol. 14(4), pages 1-12, April.
  • Handle: RePEc:gam:jlands:v:14:y:2025:i:4:p:798-:d:1629889
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/14/4/798/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/14/4/798/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kallio, A. Maarit I. & Solberg, Birger & Käär, Liisa & Päivinen, Risto, 2018. "Economic impacts of setting reference levels for the forest carbon sinks in the EU on the European forest sector," Forest Policy and Economics, Elsevier, vol. 92(C), pages 193-201.
    2. Olschewski, Roland & Benítez, Pablo C., 2010. "Optimizing joint production of timber and carbon sequestration of afforestation projects," Journal of Forest Economics, Elsevier, vol. 16(1), pages 1-10, January.
    3. Ansuategi, Alberto & Escapa, Marta, 2002. "Economic growth and greenhouse gas emissions," Ecological Economics, Elsevier, vol. 40(1), pages 23-37, January.
    4. Eugene A. Rosa & Thomas Dietz, 2012. "Human drivers of national greenhouse-gas emissions," Nature Climate Change, Nature, vol. 2(8), pages 581-586, August.
    5. Kenneth Richards & Krister Andersson, 2001. "The leaky sink: persistent obstacles to a forest carbon sequestration program based on individual projects," Climate Policy, Taylor & Francis Journals, vol. 1(1), pages 41-54, March.
    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. Filewod, Ben & McCarney, Geoff, 2023. "Avoiding leakage from nature-based offsets by design," LSE Research Online Documents on Economics 117927, London School of Economics and Political Science, LSE Library.
    2. Filewod, Ben & McCarney, Geoff, 2023. "Avoiding leakage from nature-based offsets by design," LSE Research Online Documents on Economics 117928, London School of Economics and Political Science, LSE Library.
    3. Kaika, Dimitra & Zervas, Efthimios, 2013. "The environmental Kuznets curve (EKC) theory. Part B: Critical issues," Energy Policy, Elsevier, vol. 62(C), pages 1403-1411.
    4. Ao Yang & Mao Yang & Fuyong Zhang & Aza Azlina Md Kassim & Peixu Wang, 2024. "Has Digital Financial Inclusion Curbed Carbon Emissions Intensity? Considering Technological Innovation and Green Consumption in China," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(4), pages 19127-19156, December.
    5. Hwang, In Chang, 2013. "Stochastic Kaya model and its applications," MPRA Paper 55099, University Library of Munich, Germany.
    6. Abid Rashid Gill & Kuperan K. Viswanathan & Sallahuddin Hassan, 2017. "Is Environmental Kuznets Curve Still Relevant?," International Journal of Energy Economics and Policy, Econjournals, vol. 7(1), pages 156-165.
    7. repec:ehu:ikerla:6370 is not listed on IDEAS
    8. Szajkó, Gabriella & Rácz, Viktor József & Kis, András, 2024. "The role of price incentives in enhancing carbon sequestration in the forestry sector of Hungary," Forest Policy and Economics, Elsevier, vol. 158(C).
    9. Torres-Brito, David Israel & Cruz-Aké, Salvador & Venegas-Martínez, Francisco, 2023. "Impacto de los contaminantes por gases de efecto invernadero en el crecimiento económico en 86 países (1990-2019): Sobre la curva inversa de Kuznets [Impact of the Effect of Greenhouse Gas Pollutan," MPRA Paper 119031, University Library of Munich, Germany.
    10. Xie, Yalin & Lei, Xiangdong & Shi, Jingning, 2020. "Impacts of climate change on biological rotation of Larix olgensis plantations for timber production and carbon storage in northeast China using the 3-PGmix model," Ecological Modelling, Elsevier, vol. 435(C).
    11. Perez, Carlos & Roncoli, Carla & Neely, Constance & Steiner, Jean L., 2007. "Can carbon sequestration markets benefit low-income producers in semi-arid Africa? Potentials and challenges," Agricultural Systems, Elsevier, vol. 94(1), pages 2-12, April.
    12. Lin, Brian Chi-ang, 2006. "A sustainable perspective on the knowledge economy: A critique of Austrian and mainstream views," Ecological Economics, Elsevier, vol. 60(1), pages 324-332, November.
    13. Pan, Wenqi & Chang, Wei-Yew & Wu, Ting & Zhang, Han & Ning, Zhuo & Yang, Hongqiang, 2021. "Impacts of the China-US trade restrictions on the global forest sector: A bilateral trade flow analysis," Forest Policy and Economics, Elsevier, vol. 123(C).
    14. Squalli, Jay, 2017. "Renewable energy, coal as a baseload power source, and greenhouse gas emissions: Evidence from U.S. state-level data," Energy, Elsevier, vol. 127(C), pages 479-488.
    15. Xiaoqing Zhu & Tiancheng Zhang & Weijun Gao & Danying Mei, 2020. "Analysis on Spatial Pattern and Driving Factors of Carbon Emission in Urban–Rural Fringe Mixed-Use Communities: Cases Study in East Asia," Sustainability, MDPI, vol. 12(8), pages 1-16, April.
    16. John P DeLong & Oskar Burger, 2015. "Socio-Economic Instability and the Scaling of Energy Use with Population Size," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-12, June.
    17. Agust'n Pérez-Barahona & Benteng Zou, 2006. "Energy-saving technological progress in a vintage capital model," Chapters, in: Carlos de Miguel & Xavier Labanderia & Baltasar Manzano (ed.), Economic Modelling of Climate Change and Energy Policies, chapter 11, pages 166-179, Edward Elgar Publishing.
    18. Shahiduzzaman, Md & Layton, Allan, 2017. "Decomposition analysis for assessing the United States 2025 emissions target: How big is the challenge?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 372-383.
    19. Escapa García, Marta & Ansuategui Cobo, José Alberto & Pérez, Azucena, 2003. "International and Intergenerational Dimensions of Climate Change: North-South Cooperation in an Overlapping Generations Framework," IKERLANAK 2003-06, Universidad del País Vasco - Departamento de Fundamentos del Análisis Económico I.
    20. Jorgenson, Andrew & Schor, Juliet & Huang, Xiaorui, 2017. "Income Inequality and Carbon Emissions in the United States: A State-level Analysis, 1997–2012," Ecological Economics, Elsevier, vol. 134(C), pages 40-48.
    21. Jingling Chen & Tao Eric Hu & Rob van Tulder, 2019. "Is the Environmental Kuznets Curve Still Valid: A Perspective of Wicked Problems," Sustainability, MDPI, vol. 11(17), pages 1-17, 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:jlands:v:14:y:2025:i:4:p:798-:d:1629889. 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.