@Article{LemosBeyRunAndAgu:2023:MuOpDe,
               author = "Lemos, C{\'a}ssia Maria Gama and Beyer, Hawthorne L and Runting, 
                         Rebecca K. and Andrade Neto, Pedro Ribeiro de and Aguiar, Ana 
                         Paula Dutra de",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {University 
                         of Queensland} and {University of Melbourne} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Multicriteria optimization to develop cost-effective pes-schemes 
                         to restore multiple environmental benefits in the Brazilian 
                         Atlantic forest",
              journal = "Ecosystem Services",
                 year = "2023",
               volume = "60",
                pages = "e101515",
                month = "Apr.",
             keywords = "Brazilian Forest Code, Cost-effectiveness, Optimization model, 
                         Paraiba Valley, Payments for Ecosystem Services.",
             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.",
                  doi = "10.1016/j.ecoser.2023.101515",
                  url = "http://dx.doi.org/10.1016/j.ecoser.2023.101515",
                 issn = "2212-0416",
             language = "en",
           targetfile = "1-s2.0-S2212041623000074-main.pdf",
        urlaccessdate = "20 maio 2024"
}