Testing temporal benchmarks effects on the implementation of the new Brazilian Forest Act
Native vegetation in private lands plays an important role in providing ecosystem services and safeguarding biodiversity worldwide. Legal protection rules of this vegetation are thus crucial. In Brazil, since 1934, there has been a requirement for landowners to preserve a percentage of their land co...
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Published in: | Environmental science & policy Vol. 126; pp. 213 - 222 |
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01-12-2021
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Abstract | Native vegetation in private lands plays an important role in providing ecosystem services and safeguarding biodiversity worldwide. Legal protection rules of this vegetation are thus crucial. In Brazil, since 1934, there has been a requirement for landowners to preserve a percentage of their land covered with native vegetation, the Legal Reserve. However, the 1934 legislation applies only to arboreal vegetation, while the protection of savannahs and grasslands begins after 1965 and 1989. The reference year for the application of Legal Reserves can thus have significant impacts on the amount of native vegetation legally protected. Here we tested the effects on Legal Reserve cover in São Paulo State, considering two different legal benchmarks as starting points: 1934 and 1965. Given that the 1934 law precedes the first aerial mapping in Brazil, we developed a methodology to estimate past native vegetation cover through a probabilistic approach. The forest deficit considering 1934 as the initial point is 3% lower than the one starting with the 1965 benchmark. Comparing both scenarios, the 1934 led to a reduction of 1255 farms with Legal Reserve deficit from a total of 30,417. For both scenarios, Legal Reserve deficits were concentrated in the West, Northwest, and Mid-west regions of the state. The outcomes showed that the benchmark change does not significantly affect the total area of Legal Reserves protection, the number of farms potentially benefited by this mechanism, and the amount of native vegetation deficit. However, the use of the 1934 as an initial date for considering protection of Legal Reserve can delay the implementation of the law due to a time-consuming farm-by-farm analysis, once the probabilistic map has an intrinsic limitation for an automatic process. Thus, the environmental gains with the adoption of 1934 as the initial date do not overcome the limitations of using a probabilistic map, suggesting that effective law enforcement depends on reliable and more recent baselines, allowing semi-automated analyses. This scientific evidence can be adopted by the other Brazilian States that have not yet defined the initial legal benchmark, balancing the advantages and disadvantages of adopting the 1934 Forest Act.
•We compare scenarios for the Forest Act implementation considering different past vegetation cover benchmarks (1934 and 1965).•We developed a methodology for estimating native vegetation cover in 1934, because of lack of past spatialized land-use data.•The forest deficit for the benchmark of 1934 is only 3% higher than the one of the 1965 benchmark.•Given the uncertainties of the probabilistic map, the policy implementation can be delayed if 1934 benchmark is adopted.•Even with restrictions, this is the best possible map for the 1934 benchmark and can support decision-making. |
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AbstractList | Native vegetation in private lands plays an important role in providing ecosystem services and safeguarding biodiversity worldwide. Legal protection rules of this vegetation are thus crucial. In Brazil, since 1934, there has been a requirement for landowners to preserve a percentage of their land covered with native vegetation, the Legal Reserve. However, the 1934 legislation applies only to arboreal vegetation, while the protection of savannahs and grasslands begins after 1965 and 1989. The reference year for the application of Legal Reserves can thus have significant impacts on the amount of native vegetation legally protected. Here we tested the effects on Legal Reserve cover in São Paulo State, considering two different legal benchmarks as starting points: 1934 and 1965. Given that the 1934 law precedes the first aerial mapping in Brazil, we developed a methodology to estimate past native vegetation cover through a probabilistic approach. The forest deficit considering 1934 as the initial point is 3% lower than the one starting with the 1965 benchmark. Comparing both scenarios, the 1934 led to a reduction of 1255 farms with Legal Reserve deficit from a total of 30,417. For both scenarios, Legal Reserve deficits were concentrated in the West, Northwest, and Mid-west regions of the state. The outcomes showed that the benchmark change does not significantly affect the total area of Legal Reserves protection, the number of farms potentially benefited by this mechanism, and the amount of native vegetation deficit. However, the use of the 1934 as an initial date for considering protection of Legal Reserve can delay the implementation of the law due to a time-consuming farm-by-farm analysis, once the probabilistic map has an intrinsic limitation for an automatic process. Thus, the environmental gains with the adoption of 1934 as the initial date do not overcome the limitations of using a probabilistic map, suggesting that effective law enforcement depends on reliable and more recent baselines, allowing semi-automated analyses. This scientific evidence can be adopted by the other Brazilian States that have not yet defined the initial legal benchmark, balancing the advantages and disadvantages of adopting the 1934 Forest Act.
•We compare scenarios for the Forest Act implementation considering different past vegetation cover benchmarks (1934 and 1965).•We developed a methodology for estimating native vegetation cover in 1934, because of lack of past spatialized land-use data.•The forest deficit for the benchmark of 1934 is only 3% higher than the one of the 1965 benchmark.•Given the uncertainties of the probabilistic map, the policy implementation can be delayed if 1934 benchmark is adopted.•Even with restrictions, this is the best possible map for the 1934 benchmark and can support decision-making. |
Author | Brites, Alice de Mello, Kaline dos Santos, Zenilda Ledo Tavares, Paulo André Pinto, Luís Fernando Guedes Metzger, Jean Paul Rodrigues, Ricardo Ribeiro Guidotti, Vinícius Molin, Paulo Guilherme Sparovek, Gerd Joly, Carlos Alfredo |
Author_xml | – sequence: 1 givenname: Paulo André surname: Tavares fullname: Tavares, Paulo André email: patavares@usp.br organization: University of São Paulo, Luiz de Queiroz College of Agriculture, Soil Science Department, Av. Pádua Dias, 11, 13418-900 Piracicaba, SP, Brazil – sequence: 2 givenname: Alice orcidid: 0000-0002-6500-4243 surname: Brites fullname: Brites, Alice email: alicebrites@usp.br organization: University of São Paulo, Luiz de Queiroz College of Agriculture, Soil Science Department, Av. Pádua Dias, 11, 13418-900 Piracicaba, SP, Brazil – sequence: 3 givenname: Vinícius surname: Guidotti fullname: Guidotti, Vinícius email: vinicius@imaflora.org organization: Imaflora, Estrada Chico Mendes, 185, 13426-420 Piracicaba, SP, Brazil – sequence: 4 givenname: Paulo Guilherme surname: Molin fullname: Molin, Paulo Guilherme email: pgmolin@gmail.com organization: Federal University of São Carlos, Center for Nature Sciences, Rodovia Lauri Simões de Barros, km 12, 18245-970 Buri, SP, Brazil – sequence: 5 givenname: Kaline surname: de Mello fullname: de Mello, Kaline email: kaline.mello@usp.br organization: University of São Paulo, Institute of Biosciences, Department of Ecology, Rua do Matão, 321, Trav. 14, 05508-090 São Paulo, SP, Brazil – sequence: 6 givenname: Zenilda Ledo surname: dos Santos fullname: dos Santos, Zenilda Ledo email: zenilda.santos@alumni.usp.br organization: University of São Paulo, Luiz de Queiroz College of Agriculture, Soil Science Department, Av. Pádua Dias, 11, 13418-900 Piracicaba, SP, Brazil – sequence: 7 givenname: Luís Fernando Guedes surname: Pinto fullname: Pinto, Luís Fernando Guedes email: luisfernando@sosma.org.br organization: SOS Mata Atlântica Foundation, Av. Paulista, 2073 - Horsa 1 - Conj. 1318, 01311-300, São Paulo, SP, Brazil – sequence: 8 givenname: Jean Paul surname: Metzger fullname: Metzger, Jean Paul email: jpm@ib.usp.br organization: University of São Paulo, Institute of Biosciences, Department of Ecology, Rua do Matão, 321, Trav. 14, 05508-090 São Paulo, SP, Brazil – sequence: 9 givenname: Ricardo Ribeiro surname: Rodrigues fullname: Rodrigues, Ricardo Ribeiro email: rrresalq@usp.br organization: University of São Paulo, Luiz de Queiroz College of Agriculture, Department of Biological Sciences, Av. Pádua Dias, 11, 13418-260 Piracicaba, SP, Brazil – sequence: 10 givenname: Carlos Alfredo surname: Joly fullname: Joly, Carlos Alfredo email: cjoly@unicamp.br organization: University of Campinas, Biology Institute, Rua Monteiro Lobato, 255, 13083-862 Campinas, SP, Brazil – sequence: 11 givenname: Gerd orcidid: 0000-0001-8301-8529 surname: Sparovek fullname: Sparovek, Gerd email: gerd@usp.br organization: University of São Paulo, Luiz de Queiroz College of Agriculture, Soil Science Department, Av. Pádua Dias, 11, 13418-900 Piracicaba, SP, Brazil |
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Keywords | Legal Reserve Biodiversity conservation Forest cover probability Governance Environmental policy Land use |
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