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Climate-dependent scenarios of land use for biodiversity and ecosystem services in the New Aquitaine region

Author

Listed:
  • Ny Andraina Andriamanantena

    (GREThA - Groupe de Recherche en Economie Théorique et Appliquée - UB - Université de Bordeaux - CNRS - Centre National de la Recherche Scientifique)

  • Charly Gaufreteau

    (GREThA - Groupe de Recherche en Economie Théorique et Appliquée - UB - Université de Bordeaux - CNRS - Centre National de la Recherche Scientifique)

  • Jean-Sauveur Ay

    (CESAER - Centre d'Economie et de Sociologie Rurales Appliquées à l'Agriculture et aux Espaces Ruraux - UBFC - Université Bourgogne Franche-Comté [COMUE] - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro Dijon - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement)

  • Luc Doyen

    (GREThA - Groupe de Recherche en Economie Théorique et Appliquée - UB - Université de Bordeaux - CNRS - Centre National de la Recherche Scientifique)

Abstract

The synergies and trade-offs between human well-being, biodiversity, and ecosystem services are under debate for the design of more sustainable public policies. In that perspective, there is a need of quantitative methods to compare all these outcomes under alternative policy scenarios. The present paper provides scenarios at the horizon 2053 for the New Aquitaine region in France. They rely on spatio-temporal models derived from individual land-use choices under climate change. The models are estimated at the national level from 1993 to 2003 fine-scale data. We focus on farming, forestry, and urban land uses along with bird biodiversity scores and a basket of ecosystem services, namely carbon sink, recreation, and water quality. A "climate-economic adaptation" scenario shows that climate-induced land use worsens the negative effects of climate change on biodiversity and several ecosystem services in the long run as compared to a "status quo" scenario. Another scenario with an incentive policy based on a payment for pastures slightly mitigates these impacts on biodiversity and water pollution. However, this turns out to be detrimental for other ecosystem services. This confirms that the design of sustainable policies cannot be limited to uniform strategies and should account for the complexity of ecosystem management.

Suggested Citation

  • Ny Andraina Andriamanantena & Charly Gaufreteau & Jean-Sauveur Ay & Luc Doyen, 2022. "Climate-dependent scenarios of land use for biodiversity and ecosystem services in the New Aquitaine region," Post-Print halshs-03913031, HAL.
  • Handle: RePEc:hal:journl:halshs-03913031
    DOI: 10.1007/s10113-022-01964-6
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-03913031
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    References listed on IDEAS

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    1. Raja Chakir & Olivier Parent, 2009. "Determinants of land use changes: A spatial multinomial probit approach," Papers in Regional Science, Wiley Blackwell, vol. 88(2), pages 327-344, June.
    2. Ruben N. Lubowski & Andrew J. Plantinga & Robert N. Stavins, 2008. "What Drives Land-Use Change in the United States? A National Analysis of Landowner Decisions," Land Economics, University of Wisconsin Press, vol. 84(4), pages 529-550.
    3. R. Quentin Grafton & Luc Doyen & Christophe Béné & Edoardo Borgomeo & Kate Brooks & Long Chu & Graeme S. Cumming & John Dixon & Stephen Dovers & Dustin Garrick & Ariella Helfgott & Qiang Jiang & Pamel, 2019. "Realizing resilience for decision-making," Nature Sustainability, Nature, vol. 2(10), pages 907-913, October.
      • R. Quentin Grafton & Luc Doyen & Christophe Béné & Edoardo Borgomeo & Kate Brooks & Long Chu & Graeme S. Cumming & John Dixon & Stephen Dovers & Dustin Garrick & Ariella Helfgott & Qiang Jiang & Pamel, 2019. "Realizing resilience for decision-making," Post-Print hal-02733372, HAL.
    4. Tardieu, Léa & Tuffery, Laëtitia, 2019. "From supply to demand factors: What are the determinants of attractiveness for outdoor recreation?," Ecological Economics, Elsevier, vol. 161(C), pages 163-175.
    5. Mendelsohn, Robert & Nordhaus, William D & Shaw, Daigee, 1994. "The Impact of Global Warming on Agriculture: A Ricardian Analysis," American Economic Review, American Economic Association, vol. 84(4), pages 753-771, September.
    6. Ricardo, David, 1821. "On the Principles of Political Economy and Taxation," History of Economic Thought Books, McMaster University Archive for the History of Economic Thought, edition 3, number ricardo1821.
    7. L. Doyen & A. Cissé & S. Gourguet & L. Mouysset & P.-Y. Hardy & C. Béné & F. Blanchard & F. Jiguet & J.-C. Pereau & O. Thébaud, 2013. "Ecological-economic modelling for the sustainable management of biodiversity," Computational Management Science, Springer, vol. 10(4), pages 353-364, December.
    8. Jean-Sauveur Ay & Raja Chakir & Julie Le Gallo, 2017. "Aggregated Versus Individual Land-Use Models: Modeling Spatial Autocorrelation to Increase Predictive Accuracy," Post-Print hal-01868560, HAL.
    9. Simpson, Katherine & Hanley, Nick & Armsworth, Paul & de Vries, Frans & Dallimer, Martin, 2021. "Incentivising Biodiversity Net Gain with an Offset Market," 95th Annual Conference, March 29-30, 2021, Warwick, UK (Hybrid) 312052, Agricultural Economics Society - AES.
    10. Carlo Fezzi & Amii R. Harwood & Andrew A. Lovett & Ian J. Bateman, 2017. "The environmental impact of climate change adaptation on land use and water quality," Chapters, in: K. N. Ninan & Makoto Inoue (ed.), Building a Climate Resilient Economy and Society, chapter 2, pages 27-40, Edward Elgar Publishing.
    11. Jean-Sauveur Ay & Raja Chakir & Luc Doyen & Frédéric Jiguet & Paul Leadley, 2014. "Integrated models, scenarios and dynamics of climate, land use and common birds," Climatic Change, Springer, vol. 126(1), pages 13-30, September.
    12. Jean-Sauveur Ay & Raja Chakir & Luc Doyen & Frédéric Jiguet & Paul Leadley, 2014. "Integrated models, scenarios and dynamics of climate, land use and common birds," Climatic Change, Springer, vol. 126(1), pages 13-30, September.
    13. Barry K. Goodwin & Ashok K. Mishra & François N. Ortalo-Magné, 2003. "What's Wrong with Our Models of Agricultural Land Values?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(3), pages 744-752.
    14. Carlo Fezzi & Amii R. Harwood & Andrew A. Lovett & Ian J. Bateman, 2015. "Erratum: The environmental impact of climate change adaptation on land use and water quality," Nature Climate Change, Nature, vol. 5(4), pages 385-385, April.
    15. repec:hal:journl:hal-01135489 is not listed on IDEAS
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    Keywords

    Model-based scenarios; Bio-economics; Climate; Land-useIncentive policy; Birds biodiversity; Ecosystem services;
    All these keywords.

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