IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i21p11849-d665537.html
   My bibliography  Save this article

A Review of Forest Ecosystem Vulnerability and Resilience: Implications for the Rocky Desertification Control

Author

Listed:
  • Haiyan Liu

    (School of Karst Science, State Engineering Technology Institute for Karst Desertification Control, Guizhou Normal University, Guiyang 550001, China)

  • Kangning Xiong

    (School of Karst Science, State Engineering Technology Institute for Karst Desertification Control, Guizhou Normal University, Guiyang 550001, China)

  • Yanghua Yu

    (School of Karst Science, State Engineering Technology Institute for Karst Desertification Control, Guizhou Normal University, Guiyang 550001, China)

  • Tingling Li

    (School of Karst Science, State Engineering Technology Institute for Karst Desertification Control, Guizhou Normal University, Guiyang 550001, China)

  • Yao Qing

    (School of Karst Science, State Engineering Technology Institute for Karst Desertification Control, Guizhou Normal University, Guiyang 550001, China)

  • Zhifu Wang

    (School of Karst Science, State Engineering Technology Institute for Karst Desertification Control, Guizhou Normal University, Guiyang 550001, China)

  • Shihao Zhang

    (School of Karst Science, State Engineering Technology Institute for Karst Desertification Control, Guizhou Normal University, Guiyang 550001, China)

Abstract

With a changing climate and socio-economic development, ecological problems are increasingly serious, research on ecosystem vulnerability and ecological resilience has become a hot topic of study for various institutions. Forests, the “lungs of the earth”, have also been damaged to varying degrees. In recent years, scholars have conducted numerous studies on the vulnerability and resilience of forest ecosystems, but there is a lack of a systematic elaboration of them. The results of a statistical analysis of 217 related documents show: (1) the number of studies published rises wave upon wave in time series, which indicates that this area of study is still at the stage of rising; (2) the research content is concentrated in four dimensions—ecosystem vulnerability assessment, ecosystem vulnerability model prediction, ecological resilience, and management strategies—among which the ecosystem vulnerability assessment research content mainly discusses the evaluation methods and models; (3) the research areas are mainly concentrated in China and the United States, with different degrees of distribution in European countries; and (4) the research institutions are mainly the educational institutions and forestry bureaus in various countries. In addition, this paper also reveals the frontier theory of forest ecosystem vulnerability and resilience research from three aspects—theoretical research, index system, and technical methods—puts forward the problems of current research, and suggests that a universally applicable framework for forest ecosystem vulnerability and resilience research should be built in the future, and theoretical research should be strengthened to comprehensively understand the characteristics of forest ecosystems so that sustainable management strategies can be proposed according to local conditions.

Suggested Citation

  • Haiyan Liu & Kangning Xiong & Yanghua Yu & Tingling Li & Yao Qing & Zhifu Wang & Shihao Zhang, 2021. "A Review of Forest Ecosystem Vulnerability and Resilience: Implications for the Rocky Desertification Control," Sustainability, MDPI, vol. 13(21), pages 1-16, October.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:21:p:11849-:d:665537
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/21/11849/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/21/11849/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. A. Berger & R. Hodge, 1998. "Natural Change in the Environment: A Challenge to the Pressure-State-Response Concept," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 44(2), pages 255-265, June.
    2. Mart-Jan Schelhaas & Geerten Hengeveld & Marco Moriondo & Gert Reinds & Zbigniew Kundzewicz & Herbert Maat & Marco Bindi, 2010. "Assessing risk and adaptation options to fires and windstorms in European forestry," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 15(7), pages 681-701, October.
    3. Xia Cui & Cerian Gibbes & Jane Southworth & Peter Waylen, 2013. "Using Remote Sensing to Quantify Vegetation Change and Ecological Resilience in a Semi-Arid System," Land, MDPI, vol. 2(2), pages 1-23, 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. Ren, Hongge & Zhang, Li & Yan, Min & Zhang, Bo & Ruan, Linlin, 2025. "Improving forest gross primary productivity estimation through climate and trait integration," Ecological Modelling, Elsevier, vol. 501(C).

    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. Dumollard, Gaspard, 2018. "Multiple-stand forest management under fire risk: Analytical characterization of stationary rotation ages and optimal carbon sequestration policy," Journal of Forest Economics, Elsevier, vol. 32(C), pages 146-154.
    2. Wusheng Zhao & Peiji Shi & Ya Wan & Yan Yao, 2023. "Coupling and Coordination Relationship between Urbanization Quality and Ecosystem Services in the Upper Yellow River: A Case Study of the Lanzhou–Xining Urban Agglomeration, China," Land, MDPI, vol. 12(5), pages 1-20, May.
    3. Meyar-Naimi, H. & Vaez-Zadeh, S., 2012. "Developing a DSR-HNS policy making framework for electric energy systems," Energy Policy, Elsevier, vol. 42(C), pages 616-627.
    4. John Parkins & Richard Stedman & Jeji Varghese, 2001. "Moving towards local-level indicators of sustainability in forest-based communities: A mixed-method approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 56(1), pages 43-72, October.
    5. SHI, Jia & LEE, Ching-Hung & GUO, Xuesong & ZHU, Zhengwei, 2020. "Constructing an integrated stakeholder-based participatory policy evaluation model for urban traffic restriction," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    6. Narcisa G. Pricope & Andrea E. Gaughan & John D. All & Michael W. Binford & Lucas P. Rutina, 2015. "Spatio-Temporal Analysis of Vegetation Dynamics in Relation to Shifting Inundation and Fire Regimes: Disentangling Environmental Variability from Land Management Decisions in a Southern African Transb," Land, MDPI, vol. 4(3), pages 1-29, July.
    7. Meyar-Naimi, H. & Vaez-Zadeh, S., 2012. "Sustainable development based energy policy making frameworks, a critical review," Energy Policy, Elsevier, vol. 43(C), pages 351-361.
    8. Jorge Soto & Celián Román-Figueroa & Manuel Paneque, 2019. "A Model for Estimating the Vegetation Cover in the High-Altitude Wetlands of the Andes (HAWA)," Land, MDPI, vol. 8(1), pages 1-17, January.
    9. Gaspard Dumollard & Stéphane De Cara, 2018. "Land allocation between a multiple-stand forest and agriculture under storm risk and recursive preferences," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 7(3), pages 256-268, July.
    10. Lagergren, Fredrik & Jönsson, Anna Maria & Blennow, Kristina & Smith, Benjamin, 2012. "Implementing storm damage in a dynamic vegetation model for regional applications in Sweden," Ecological Modelling, Elsevier, vol. 247(C), pages 71-82.
    11. Jingzhong Li & Xiao Xie & Bingyu Zhao & Xiao Xiao & Bing Xue, 2022. "Spatio-Temporal Processes and Characteristics of Vegetation Recovery in the Earthquake Area: A Case Study of Wenchuan, China," Land, MDPI, vol. 11(4), pages 1-17, March.
    12. Gregory, Amanda J. & Atkins, Jonathan P. & Burdon, Daryl & Elliott, Michael, 2013. "A problem structuring method for ecosystem-based management: The DPSIR modelling process," European Journal of Operational Research, Elsevier, vol. 227(3), pages 558-569.
    13. Zhaoyi Wan & Chengyi Zhao & Jianting Zhu & Xiaofei Ma & Jiangzi Chen & Junhao Wang, 2024. "Assessment and Prediction of Coastal Ecological Resilience Based on the Pressure–State–Response (PSR) Model," Land, MDPI, vol. 13(12), pages 1-19, December.
    14. Blennow, Kristina, 2012. "Adaptation of forest management to climate change among private individual forest owners in Sweden," Forest Policy and Economics, Elsevier, vol. 24(C), pages 41-47.
    15. Thiele, Jan C. & Nuske, Robert S. & Ahrends, Bernd & Panferov, Oleg & Albert, Matthias & Staupendahl, Kai & Junghans, Udo & Jansen, Martin & Saborowski, Joachim, 2017. "Climate change impact assessment—A simulation experiment with Norway spruce for a forest district in Central Europe," Ecological Modelling, Elsevier, vol. 346(C), pages 30-47.
    16. Fullman, Timothy J. & Bunting, Erin L. & Kiker, Gregory A. & Southworth, Jane, 2017. "Predicting shifts in large herbivore distributions under climate change and management using a spatially-explicit ecosystem model," Ecological Modelling, Elsevier, vol. 352(C), pages 1-18.
    17. Sacchelli, Sandro & De Meo, Isabella & Paletto, Alessandro, 2013. "Bioenergy production and forest multifunctionality: A trade-off analysis using multiscale GIS model in a case study in Italy," Applied Energy, Elsevier, vol. 104(C), pages 10-20.
    18. Maxim, Laura & Spangenberg, Joachim H. & O'Connor, Martin, 2009. "An analysis of risks for biodiversity under the DPSIR framework," Ecological Economics, Elsevier, vol. 69(1), pages 12-23, November.
    19. Juan F. Fernández-Manjarrés & Paloma Ruiz-Benito & Miguel A. Zavala & J. Julio Camarero & Fernando Pulido & Vânia Proença & Laetitia Navarro & Roxane Sansilvestri & Elena Granda & Laura Marqués & Mart, 2018. "Forest Adaptation to Climate Change along Steep Ecological Gradients: The Case of the Mediterranean-Temperate Transition in South-Western Europe," Sustainability, MDPI, vol. 10(9), pages 1-18, August.
    20. Wei Zhang & Xiaodong Lu & Zhuangxiu Xie & Jianjun Ma & Jiaming Zang, 2024. "Study on the Spatiotemporal Evolution of Habitat Quality in Highly Urbanized Areas Based on Bayesian Networks: A Case Study from Shenzhen, China," Sustainability, MDPI, vol. 16(24), pages 1-25, December.

    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:13:y:2021:i:21:p:11849-:d:665537. 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.