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Outlook on a Worldwide Forest Transition

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  • Chris Pagnutti
  • Chris T Bauch
  • Madhur Anand

Abstract

It is not clear whether a worldwide “forest transition” to net reforestation will ever occur, and the need to address the main driver–agriculture–is compelling. We present a mathematical model of land use dynamics based on the world food equation that explains historical trends in global land use on the millennial scale. The model predicts that a global forest transition only occurs under a small and very specific range of parameter values (and hence seems unlikely) but if it does occur, it would have to occur within the next 70 years. In our baseline scenario, global forest cover continues to decline until it stabilizes within the next two centuries at 22% of global land cover, and wild pasture at 1.4%. Under other scenarios the model predicts unanticipated dynamics wherein a forest transition may relapse, heralding a second era of deforestation; this brings into question national-level forest transitions observed in recent decades, and suggests we need to expand our lexicon of possibilities beyond the simple “forest transition/no forest transition” dichotomy. This research also underscores that the challenge of feeding a growing population while conserving natural habitat will likely continue for decades to come.

Suggested Citation

  • Chris Pagnutti & Chris T Bauch & Madhur Anand, 2013. "Outlook on a Worldwide Forest Transition," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-8, October.
  • Handle: RePEc:plo:pone00:0075890
    DOI: 10.1371/journal.pone.0075890
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    References listed on IDEAS

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    1. de Fraiture, Charlotte & Wichelns, D. & Rockstrom, J. & Kemp-Benedict, E. & Eriyagama, Nishadi & Gordon, L. J. & Hanjra, M. A. & Hoogeveen, J. & Huber-Lee, A. & Karlberg, L., 2007. "Looking ahead to 2050: scenarios of alternative investment approaches," Book Chapters,, International Water Management Institute.
    2. Molden, David, 2007. "Water for food, water for life: a comprehensive assessment of water management in agriculture," IWMI Books, Reports H040193, International Water Management Institute.
    3. Angelsen, Arild & Kaimowitz, David, 1999. "Rethinking the Causes of Deforestation: Lessons from Economic Models," The World Bank Research Observer, World Bank, vol. 14(1), pages 73-98, February.
    4. Molden, David, 2007. "Water for food, water for life: a comprehensive assessment of water management in agriculture: summary," IWMI Books, Reports H039769, International Water Management Institute.
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    Cited by:

    1. Leonardo Bianchini & Rosanna Salvia & Giovanni Quaranta & Gianluca Egidi & Luca Salvati & Alvaro Marucci, 2021. "Forest Transition and Metropolitan Transformations in Developed Countries: Interpreting Apparent and Latent Dynamics with Local Regression Models," Land, MDPI, vol. 11(1), pages 1-14, December.
    2. Shane Nowack & Chris T Bauch & Madhur Anand, 2019. "A local optimization framework for addressing conservation conflicts in mosaic ecosystems," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-22, May.
    3. Valerio Moretti & Luca Salvati & Massimo Cecchini & Ilaria Zambon, 2019. "A Long-Term Analysis of Demographic Processes, Socioeconomic ‘Modernization’ and Forest Expansion in a European Country," Sustainability, MDPI, vol. 11(2), pages 1-16, January.
    4. Leblond, Jean-Philippe, 2019. "Revisiting forest transition explanations: The role of “push” factors and adaptation strategies in forest expansion in northern Phetchabun, Thailand," Land Use Policy, Elsevier, vol. 83(C), pages 195-214.
    5. Capmourteres, Virginia & Adams, Justin & Berg, Aaron & Fraser, Evan & Swanton, Clarence & Anand, Madhur, 2018. "Precision conservation meets precision agriculture: A case study from southern Ontario," Agricultural Systems, Elsevier, vol. 167(C), pages 176-185.
    6. Enric Tello & Joan Marull & Roc Padró & Claudio Cattaneo & Francesc Coll, 2020. "The Loss of Landscape Ecological Functionality in the Barcelona Province (1956–2009): Could Land-Use History Involve a Legacy for Current Biodiversity?," Sustainability, MDPI, vol. 12(6), pages 1-15, March.
    7. Zachary Dockstader & Chris T. Bauch & Madhur Anand, 2019. "Interconnections Accelerate Collapse in a Socio-Ecological Metapopulation," Sustainability, MDPI, vol. 11(7), pages 1-13, March.
    8. Ferrara, Carlotta & Carlucci, Margherita & Grigoriadis, Efstathios & Corona, Piermaria & Salvati, Luca, 2017. "A comprehensive insight into the geography of forest cover in Italy: Exploring the importance of socioeconomic local contexts," Forest Policy and Economics, Elsevier, vol. 75(C), pages 12-22.
    9. Margherita Carlucci & Ilaria Zambon & Andrea Colantoni & Luca Salvati, 2019. "Socioeconomic Development, Demographic Dynamics and Forest Fires in Italy, 1961–2017: A Time-Series Analysis," Sustainability, MDPI, vol. 11(5), pages 1-17, March.
    10. Matias Heino & Matti Kummu & Marika Makkonen & Mark Mulligan & Peter H Verburg & Mika Jalava & Timo A Räsänen, 2015. "Forest Loss in Protected Areas and Intact Forest Landscapes: A Global Analysis," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-21, October.

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