IDEAS home Printed from https://ideas.repec.org/a/spr/masfgc/v28y2023i5d10.1007_s11027-023-10066-5.html
   My bibliography  Save this article

Pantropical distribution of short-rotation woody plantations: spatial probabilities under current and future climate

Author

Listed:
  • Katharina Schulze

    (Institute for Environmental Studies, Vrije Universiteit Amsterdam)

  • Žiga Malek

    (Institute for Environmental Studies, Vrije Universiteit Amsterdam)

  • Dmitry Schepaschenko

    (International Institute for Applied Systems Analysis (IIASA))

  • Myroslava Lesiv

    (International Institute for Applied Systems Analysis (IIASA))

  • Steffen Fritz

    (International Institute for Applied Systems Analysis (IIASA))

  • Peter H. Verburg

    (Institute for Environmental Studies, Vrije Universiteit Amsterdam
    Swiss Federal Institute for Forest)

Abstract

Short-rotation woody plantations (SRWPs) play a major role in climate change mitigation and adaptation plans, because of their high yields of woody biomass and fast carbon storage. However, their benefits, trade-offs and growing-success are heavily location-dependent. Therefore, spatial data on the distribution of SRWPs are indispensable for assessing current distribution, trade-offs with other uses and potential contributions to climate mitigation. As current global datasets lack reliable information on SRWPs and full global mapping is difficult, we provide a consistent and systematic approach to estimate the spatial distribution of SRWPs in (sub-)tropical biomes under current and future climate. We combined three advanced methods (maximum entropy, random forest and multinomial regression) to evaluate spatially explicit probabilities of SRWPs. As inputs served a large empirical dataset on SRWP observations and 17 predictor variables, covering biophysical and socio-economic conditions. SRWP probabilities varied strongly between regions, and might not be feasible in major parts of (sub-)tropical biomes, challenging the feasibility of global mitigation plans that over-rely on tree plantations. Due to future climatic changes, SRWP probabilities decreased in many areas, particularly pronounced in higher emission scenarios. This indicates a negative feedback with higher emissions resulting in less mitigation potential. Less suitable land for SRWPs in the future could also result in fewer wood resources from these plantations, enhancing pressure on natural forests and hampering sustainability initiatives that use wood-based alternatives. Our results can help adding a more nuanced treatment of mitigation options and forest management in research on biodiversity and land use change.

Suggested Citation

  • Katharina Schulze & Žiga Malek & Dmitry Schepaschenko & Myroslava Lesiv & Steffen Fritz & Peter H. Verburg, 2023. "Pantropical distribution of short-rotation woody plantations: spatial probabilities under current and future climate," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 28(5), pages 1-22, June.
  • Handle: RePEc:spr:masfgc:v:28:y:2023:i:5:d:10.1007_s11027-023-10066-5
    DOI: 10.1007/s11027-023-10066-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11027-023-10066-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11027-023-10066-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lindsey L. Sloat & Steven J. Davis & James S. Gerber & Frances C. Moore & Deepak K. Ray & Paul C. West & Nathaniel D. Mueller, 2020. "Climate adaptation by crop migration," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
    2. Eric W Fox & Jay M Ver Hoef & Anthony R Olsen, 2020. "Comparing spatial regression to random forests for large environmental data sets," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-22, March.
    3. Tomoko Hasegawa & Shinichiro Fujimori & Petr Havlík & Hugo Valin & Benjamin Leon Bodirsky & Jonathan C. Doelman & Thomas Fellmann & Page Kyle & Jason F. L. Koopman & Hermann Lotze-Campen & Daniel Maso, 2018. "Risk of increased food insecurity under stringent global climate change mitigation policy," Nature Climate Change, Nature, vol. 8(8), pages 699-703, August.
    4. Detlef Vuuren & Jae Edmonds & Mikiko Kainuma & Keywan Riahi & Allison Thomson & Kathy Hibbard & George Hurtt & Tom Kram & Volker Krey & Jean-Francois Lamarque & Toshihiko Masui & Malte Meinshausen & N, 2011. "The representative concentration pathways: an overview," Climatic Change, Springer, vol. 109(1), pages 5-31, November.
    5. Eric A. Coleman & Bill Schultz & Vijay Ramprasad & Harry Fischer & Pushpendra Rana & Anthony M. Filippi & Burak Güneralp & Andong Ma & Claudia Rodriguez Solorzano & Vijay Guleria & Rajesh Rana & Forre, 2021. "Limited effects of tree planting on forest canopy cover and rural livelihoods in Northern India," Nature Sustainability, Nature, vol. 4(11), pages 997-1004, November.
    6. Tomislav Hengl & Jorge Mendes de Jesus & Robert A MacMillan & Niels H Batjes & Gerard B M Heuvelink & Eloi Ribeiro & Alessandro Samuel-Rosa & Bas Kempen & Johan G B Leenaars & Markus G Walsh & Maria R, 2014. "SoilGrids1km — Global Soil Information Based on Automated Mapping," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-17, August.
    7. Janine Bloomfield & Holly Pearson, 2000. "Land Use, Land-Use Change, Forestry, and Agricultural Activities in the Clean Development Mechanism: Estimates of Greenhouse Gas Offset Potential," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 5(1), pages 9-24, March.
    8. Pirard, Romain & Dal Secco, Lise & Warman, Russell, 2016. "Do timber plantations contribute to forest conservation?," Environmental Science & Policy, Elsevier, vol. 57(C), pages 122-130.
    9. Shortall, O.K., 2013. "“Marginal land” for energy crops: Exploring definitions and embedded assumptions," Energy Policy, Elsevier, vol. 62(C), pages 19-27.
    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. Jerome Dumortier & Miguel Carriquiry & Amani Elobeid, 2021. "Impact of climate change on global agricultural markets under different shared socioeconomic pathways," Agricultural Economics, International Association of Agricultural Economists, vol. 52(6), pages 963-984, November.
    2. Prager, Steven D. & Wiebe, Keith D., 2022. "Strategic foresight in One CGIAR: Gaps and needs in approaches and capacity," Other briefs January 2022, International Food Policy Research Institute (IFPRI).
    3. Prager, Steven & Wiebe, Keith, 2021. "Strategic Foresight in the One CGIAR: Gaps and Needs in Approaches and Capacity," SocArXiv 7kfxv, Center for Open Science.
    4. Charlotte Janssens & Petr Havlík & Tamás Krisztin & Justin Baker & Stefan Frank & Tomoko Hasegawa & David Leclère & Sara Ohrel & Shaun Ragnauth & Erwin Schmid & Hugo Valin & Nicole Van Lipzig & Miet M, 2020. "Global hunger and climate change adaptation through international trade," Nature Climate Change, Nature, vol. 10(9), pages 829-835, September.
    5. Jonathan D. Moyer & Audrey Pirzadeh & Mohammod Irfan & José Solórzano & Barbara Stone & Yutang Xiong & Taylor Hanna & Barry B. Hughes, 2023. "How many people will live in poverty because of climate change? A macro-level projection analysis to 2070," Climatic Change, Springer, vol. 176(10), pages 1-18, October.
    6. Ke Liu & Matthew Tom Harrison & Haoliang Yan & De Li Liu & Holger Meinke & Gerrit Hoogenboom & Bin Wang & Bin Peng & Kaiyu Guan & Jonas Jaegermeyr & Enli Wang & Feng Zhang & Xiaogang Yin & Sotirios Ar, 2023. "Silver lining to a climate crisis in multiple prospects for alleviating crop waterlogging under future climates," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    7. Gupta, Rishabh & Mishra, Ashok, 2019. "Climate change induced impact and uncertainty of rice yield of agro-ecological zones of India," Agricultural Systems, Elsevier, vol. 173(C), pages 1-11.
    8. Ayami Hayashi & Fuminori Sano & Takashi Homma & Keigo Akimoto, 2023. "Mitigating trade-offs between global food access and net-zero emissions: the potential contribution of direct air carbon capture and storage," Climatic Change, Springer, vol. 176(5), pages 1-19, May.
    9. Pascalle Smith & Georg Heinrich & Martin Suklitsch & Andreas Gobiet & Markus Stoffel & Jürg Fuhrer, 2014. "Station-scale bias correction and uncertainty analysis for the estimation of irrigation water requirements in the Swiss Rhone catchment under climate change," Climatic Change, Springer, vol. 127(3), pages 521-534, December.
    10. T.M.L. Wigley, 2018. "The Paris warming targets: emissions requirements and sea level consequences," Climatic Change, Springer, vol. 147(1), pages 31-45, March.
    11. Gong, Ziqian & Baker, Justin S. & Wade, Christopher M. & Havlík, Petr, 2024. "Irrigation intensification in U.S. agriculture under climate change – an adaptation mechanism or trade-induced response?," 2024 Annual Meeting, July 28-30, New Orleans, LA 343581, Agricultural and Applied Economics Association.
    12. Islam, AFM Tariqul & Islam, AKM Saiful & Islam, GM Tarekul & Bala, Sujit Kumar & Salehin, Mashfiqus & Choudhury, Apurba Kanti & Dey, Nepal C. & Hossain, Akbar, 2022. "Adaptation strategies to increase water productivity of wheat under changing climate," Agricultural Water Management, Elsevier, vol. 264(C).
    13. Hwang, In Chang, 2013. "Stochastic Kaya model and its applications," MPRA Paper 55099, University Library of Munich, Germany.
    14. Roson, Roberto & Damania, Richard, 2016. "Simulating the Macroeconomic Impact of Future Water Scarcity an Assessment of Alternative Scenarios," Conference papers 332687, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    15. Le Bars, Dewi, 2018. "Uncertainty in sea level rise projections due to the dependence between contributors," Earth Arxiv uvw3s, Center for Open Science.
    16. Taylor, Chris & Cullen, Brendan & D'Occhio, Michael & Rickards, Lauren & Eckard, Richard, 2018. "Trends in wheat yields under representative climate futures: Implications for climate adaptation," Agricultural Systems, Elsevier, vol. 164(C), pages 1-10.
    17. Shinichiro Fujimori & Tomoko Hasegawa & Volker Krey & Keywan Riahi & Christoph Bertram & Benjamin Leon Bodirsky & Valentina Bosetti & Jessica Callen & Jacques Després & Jonathan Doelman & Laurent Drou, 2019. "A multi-model assessment of food security implications of climate change mitigation," Nature Sustainability, Nature, vol. 2(5), pages 386-396, May.
    18. Hamdi-Cherif, Meriem & Waisman, Henri & Guivarch, Céline & Hourcade, Jean-Charles, 2012. "Mitigation costs in second-best economies: time profile of emission reductions and sequencing of accompanying measures," Conference papers 332206, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    19. Schaeffer, Michiel & Gohar, Laila & Kriegler, Elmar & Lowe, Jason & Riahi, Keywan & van Vuuren, Detlef, 2015. "Mid- and long-term climate projections for fragmented and delayed-action scenarios," Technological Forecasting and Social Change, Elsevier, vol. 90(PA), pages 257-268.
    20. Kokou Amega & Yendoubé Laré & Ramchandra Bhandari & Yacouba Moumouni & Aklesso Y. G. Egbendewe & Windmanagda Sawadogo & Saidou Madougou, 2022. "Solar Energy Powered Decentralized Smart-Grid for Sustainable Energy Supply in Low-Income Countries: Analysis Considering Climate Change Influences in Togo," Energies, MDPI, vol. 15(24), pages 1-24, 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:spr:masfgc:v:28:y:2023:i:5:d:10.1007_s11027-023-10066-5. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.