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Multicriteria optimization to develop cost-effective pes-schemes to restore multiple environmental benefits in the Brazilian Atlantic forest

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  • Lemos, Cassia M.G.
  • Beyer, Hawthorne L.
  • Runting, Rebecca K.
  • Andrade, Pedro R.
  • Aguiar, Ana P.D.

Abstract

Understanding the cost-effectiveness of restoration initiatives is critical for their successful implementation. In this context, this study presents a new approach to investigating the cost-effectiveness of different forest landscape restoration strategies for achieving multiple restoration goals. The approach is based on an optimization model that allocates forest restoration to maximize three environmental benefits (biodiversity conservation, carbon stock increase, and soil loss reduction) while minimizing the cost. We explore scenarios based on the Brazilian Forest Code and the National Policy for Payment for Ecosystem Services. Our optimization approach simultaneously achieves high levels of multiple environmental benefits - more than 90% of the maximum possible biodiversity, carbon, and soil in a cost-effective manner for all scenarios. Variation among the scenarios in the absolute performance concerning the three objectives was small (within 2.5%) compared to variation in costs (up to 19.4%). These results reinforce the importance of quantifying trade-offs among objectives to a better understanding of the cost-effectiveness of restoration initiatives before their implementation.

Suggested Citation

  • Lemos, Cassia M.G. & Beyer, Hawthorne L. & Runting, Rebecca K. & Andrade, Pedro R. & Aguiar, Ana P.D., 2023. "Multicriteria optimization to develop cost-effective pes-schemes to restore multiple environmental benefits in the Brazilian Atlantic forest," Ecosystem Services, Elsevier, vol. 60(C).
    • Handle: RePEc:eee:ecoser:v:60:y:2023:i:c:s2212041623000074
    DOI: 10.1016/j.ecoser.2023.101515
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    References listed on IDEAS

    as
    1. Bernardo B. N. Strassburg & Alvaro Iribarrem & Hawthorne L. Beyer & Carlos Leandro Cordeiro & Renato Crouzeilles & Catarina C. Jakovac & André Braga Junqueira & Eduardo Lacerda & Agnieszka E. Latawiec, 2020. "Global priority areas for ecosystem restoration," Nature, Nature, vol. 586(7831), pages 724-729, October.
    2. Beyer, Hawthorne L. & Dujardin, Yann & Watts, Matthew E. & Possingham, Hugh P., 2016. "Solving conservation planning problems with integer linear programming," Ecological Modelling, Elsevier, vol. 328(C), pages 14-22.
    3. Rebecca K. Runting & Ruslandi & Bronson W. Griscom & Matthew J. Struebig & Musnanda Satar & Erik Meijaard & Zuzana Burivalova & Susan M. Cheyne & Nicolas J. Deere & Edward T. Game & F. E. Putz & Jessi, 2019. "Larger gains from improved management over sparing–sharing for tropical forests," Nature Sustainability, Nature, vol. 2(1), pages 53-61, January.
    4. Sven Wunder & Jan Börner & Driss Ezzine-de-Blas & Sarah Feder & Stefano Pagiola, 2020. "Payments for Environmental Services: Past Performance and Pending Potentials," Annual Review of Resource Economics, Annual Reviews, vol. 12(1), pages 209-234, October.
    5. López-Cubillos, Sofia & Runting, Rebecca K. & Suárez-Castro, Andrés F. & Williams, Brooke A. & Armenteras, Dolors & Manuel Ochoa-Quintero, Jose & McDonald-Madden, Eve, 2022. "Spatial prioritization to achieve the triple bottom line in Payment for ecosystem services design," Ecosystem Services, Elsevier, vol. 55(C).
    6. Hissa, Leticia de Barros Viana & Aguiar, Ana Paula Dutra & Camargo, Rafael Rodrigues & Lima, Leticia Santos de & Gollnow, Florian & Lakes, Tobia, 2019. "Regrowing forests contribution to law compliance and carbon storage in private properties of the Brazilian Amazon," Land Use Policy, Elsevier, vol. 88(C).
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