Monitoring the restoration of Castanhais (Bertholletia excelsa Bonpl.) in the Carajás region - Pará
DOI:
https://doi.org/10.37002/biodiversidadebrasileira.v15i1.2652Abstract
Monitoring is a fundamental stage of restoration, through which we can evaluate the evolution of this initiative, and thus promote adaptive management of the areas. This work aimed to evaluate the effectiveness of using high-resolution satellite images to monitor the evolution of restoration in small areas. We monitored 26 areas, using the MapBiomas BETA Collection, which includes annual maps of land cover and use for the period from 2016 to 2022, with 10 meter resolution. To determine the dynamics of land use, we used the QGIS program. The monitored areas range from 0.03 to 870 hectares and were previously used mainly as pasture areas. We observed an intense dynamic of land use throughout the assessment years (2016 to 2022), much more focused on anthropogenic use than on restoration. The predominant use classes in the areas were: pasture; other non-vegetated areas and forest formation. The sum of pasture areas in 2016 was 937.69 hectares, rising to 649.91 in 2022. The area classified as forest in 2016 went from 1,310 to 1,849 hectares in 2022. Just like the field data, the evaluation carried out using images showed that the evaluated restoration presents ineffective results, considering that the increase in vegetation cover and the consequent reduction of pasture areas in a linear way were not observed. This fact demonstrates the importance of adopting adaptive management strategies that address the specificities of initiatives aimed at restoration. In this way, it is demonstrated that geotechnologies are important tools in the management of areas undergoing restoration, since it is possible to indicate the percentage of area covered by vegetation and classify those that are of interest for restoration nearby, favoring connectivity between fragments.
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1. Lama C Del, Rosa M, Azevedo T, Shimbo J, Teixeira L, Oliveira M, et al. [Internet]. 2024 May 28. RAD2023: Relatório Anual do Desmatamento no Brasil 2023 [Acesso em: 2024 Jun 9]. Disponivel em: http://alerta.mapbiomas.org/team.
2. Van Passel J, Bernardino PN, Lhermitte S, Rius BF, Hirota M, Conradi T, et al. Critical slowing down of the Amazon forest after increased drought occurrence. Proceedings of the National Academy of Sciences. Proceedings of the National Academy of Sciences; 2024;121(22)
:e2316924121. DOI: 10.1073/pnas.2316924121 DOI: https://doi.org/10.1073/pnas.2316924121
3. Holl KD, Lesage J, Amazonas N, Resende A, Simões L, Vizcaya E, et al. Holl KD, editor. Fundamentos da restauração [Internet]. 1st ed. México: UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO Instituto de Física; 2023 [Acesso em: 2023 May 15]. Disponível em: https://books.google.com.br/books/about/Fundamentos_da_restaura%C3%A7%C3%A3o_ecol%C3%B3gica.html?id=hUm7EAAAQBAJ&redir_esc=y
4. SER S for ERIS& PWG. Fundamentos de Restauração Ecológica. Sociedade Internacional para Restauração Ecologica [Internet]. 2004; Disponível em: www.ser.org
5. Mansourian S, Berrahmouni N, Blaser J, Dudley N, Maginnis S, Mumba M, et al. Reflecting on twenty years of forest landscape restoration. Restor Ecol. John Wiley and Sons Inc; 2021;29(7). DOI: https://doi.org/10.1111/rec.13441 DOI: https://doi.org/10.1111/rec.13441
6. de Moraes LFD, Campello EFC, Franco AA. Restauração florestal: Do diagnóstics de degradação ao uso de indicadores ecológicos para o monitoramento das ações. Oecologia Australis. 2010;14(2):437–51. DOI: 10.4257/oeco.2010.1402.07 DOI: https://doi.org/10.4257/oeco.2010.1402.07
7. Bruno Rocha Martins W, Douglas Roque Lima M, de Oliveira Barros Junior U, Sousa Villas-Boas Amorim L, de Assis Oliveira F, Schwartz G. Ecological methods and indicators for recovering and monitoring ecosystems after mining: A global literature review. Vol. 145, Ecological Engineering Elsevier B.V.; 2020. DOI: https://doi.org/10.1016/j.ecoleng.2019.105707
8. Guerra A, Reis LK, Borges FLG, Ojeda PTA, Pineda DAM, Miranda CO, et al. Ecological restoration in Brazilian biomes: Identifying advances and gaps. Vol. 458, Forest Ecology and Management Elsevier B.V.; 2020. DOI: https://doi.org/10.1016/j.foreco.2019.117802
9. Brancalion PHS, Gorne viani RA, Rodrigues RR, Gandolfi S. Avaliação e monitoramento de áreas em processo de restauração [Internet]. São Paulo; 2013 [Acesso em: 2023 Aug 18]. Disponível em: chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://www.esalqlastrop.com.br/img/aulas/Cumbuca%206(2).pdf
10. Aliança pela Restauração na Amazônia. Recomendações para o monitoramento da restauração na Amazônia [Internet]. 1st ed. Vol. 1 Belém, PA: Aliança pela Restauração na Amazônia; 2022 [Acesso em: 2023 Aug 18]. Disponível em: chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://aliancaamazonia.org.br/wp-content/uploads/2022/11/monitoramento-alianca-web2.pdf
11. Projeto (MapBiomas). Projeto MapBiomas - Coleção 8.0 da série anual de mapas de cobertura e uso do solo no Brasil [Internet]. 2023. Coleção [8.0] da Série Anual de Mapas de Cobertura e Uso de Solo do Brasil - Metodologias MapBiomas [Acesso em: 2023 Mar 21]. Disponível em: https://mapbiomas.org/visao-geral-da-metodologia
12. MapBiomas. https://brasil.mapbiomas.org/2023/08/17/mapbiomas-publica-primeira-colecao-de-mapas-de-cobertura-e-uso-da-terra-com-resolucao-espacial-de-10-metros/ [Internet]. 2023 Nov. A coleção MapBiomas 10 Metros beta
13. Mesquita Da Luz L, Edilson J, Rodrigues C, Carvalho Da Ponte F, Nunes Da Silva C. ATLAS GEOGRÁFICO ESCOLAR DO ESTADO DO PARÁ GAPTA / UFPA BELEM-2013 1a Edição.
14. Alvares CA, Stape JL, Sentelhas PC, De Moraes Gonçalves JL, Sparovek G. Köppen’s climate classification map for Brazil. Meteorologische Zeitschrift. 2013;22(6):711–28. DOI: 10.1127/0941-2948/2013/0507 DOI: https://doi.org/10.1127/0941-2948/2013/0507
15. Lopes MNG, De Souza EB, Ferreira DB da S. Climatologia regional da precipitação no estado do Pará. Revista Brasileira de Climatologia [Internet]. 2013 [Acesso em: 2024 May 9];9:84–102. Disponível em: https://ojs.ufgd.edu.br/index.php/rbclima/article/view/13689/7047
16. Congedo L. Semi-Automatic Classification Plugin: A Python tool for the download and processing of remote sensing images in QGIS. J Open Source Softw. The Open Journal; 2021;6(64):3172. DOI: 10.21105/joss.03172 DOI: https://doi.org/10.21105/joss.03172
17. IBGE. Instituto Brasileiro de Geografia e Estatística - IBGE, editor. Acesso e uso de dados geoespaciais. 14th ed. Vol. 14 Rio de Janeiro: IBGE; 2019.
18. SOBRE. Restauração no Brasil [Internet]. 2024 Jul 10. Sociedade Brasileira de Restauração Ecológica (SOBRE) [Acesso em: 2024 Jul 9]. Disponível em: https://www.sobrestauracao.org/
19. Bartholomew DC, Mosyaftiani A, Morgan B, Shah T, Shaw K, Stillman C, et al. The Global Biodiversity Standard: Manual for assessment and best practices Authors [Internet]. Washington, D.C. USA; 2024 Jul [Acesso em: 2024 Jul 10]. Disponível em: chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://cdn.ymaws.com/www.ser.org/resource/resmgr/docs/The-Global-Biodiversity-Stan.pdf
20. Brancalion P, Viani R, Rodrigues R, Gandolfi S. Avaliação e monitoramento de áreas em processo de restauração. In: Martins S, editor. Restauração ecológica de ecossistemas degradados. [Internet]. 2nd ed. Viçosa: Editora UFV; 2015 [Acesso em: 2024 Jul 11]. Disponível em: chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://www.esalqlastrop.com.br/img/aulas/Cumbuca%206(2).pdf
21. Strassburg B, Branco PD, IRibarrem A, Latawiec A, Salcedo C, Rocha D, et al. Identificando Áreas Prioritárias para Restauração- Bioma Amazônia. Rio de Janeiro; 2022 Nov 10.
22. Rodrigues RR, Padovezi A, Farah FT, Garcia LC, Sanglade LG, Brancalion PHS, et al. Protocolo de monitoramento para Programas e Projetos de Restauração Florestal. Pacto pela Restauração da Mata Atlântica [Internet]. 2013 [Acesso em: 2024 Jul 10];1:1–61. Disponível em: chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://www.pactomataatlantica.org.br/wp-content/uploads/2021/05/protocolo-de-monitoramento-pt.pdf
23. Bartholomew DC, Mosyaftiani A, Morgan B, Shah T, Shaw K, Stillman C, et al. Remote Sensing Survey. In: The Global Biodiversity Standard: Manual for assessment and best practices Authors. [Internet]. 1st ed. Washington, D.C. USA: Botanic Gardens Conservation International.; 2024 [Acesso em: 2024 Jul 10]. Disponível em: chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://cdn.ymaws.com/www.ser.org/resource/resmgr/docs/The-Global-Biodiversity-Stan.pdf
24. Lamb D. Undertaking large-scale forest restoration to generate ecosystem services. Restor Ecol. John Wiley & Sons, Ltd; 2018;26(4):657–66. DOI: https://doi.org/10.1111/rec.12706 DOI: https://doi.org/10.1111/rec.12706
25. Ghazoul J, Chazdon R. Annual Review of Environment and Resources Degradation and Recovery in Changing Forest Landscapes: A Multiscale Conceptual Framework. Annu Rev Environ Resour. 2017;42:161–88. DOI: 10.1146/annurev-environ DOI: https://doi.org/10.1146/annurev-environ-102016-060736
26. Parker VT. The Scale of Successional Models and Restoration Objectives. Restor Ecol. John Wiley & Sons, Ltd; 1997;5(4):301–6. DOI: https://doi.org/10.1046/j.1526-100X.1997.00031.x DOI: https://doi.org/10.1046/j.1526-100X.1997.00031.x
27. Ruíz J, Vargas O, Rodríguez N. Restoration priorities: Integrating successional states and landscape resilience in tropical dry forest compensation projects in Colombia. Applied Geography. 2023;157:103021. DOI: https://doi.org/10.1016/j.apgeog.2023.103021 DOI: https://doi.org/10.1016/j.apgeog.2023.103021
28. Leite M de S, Tambosi LR, Romitelli I, Metzger JP. Landscape ecology perspective in restoration projects for biodiversity conservation: A review. Natureza a Conservacao. Fundacao O Boticario de Protecao a Naturezas; 2013;11(2):108–18. DOI: 10.4322/natcon.2013.019 DOI: https://doi.org/10.4322/natcon.2013.019
29. Crouzeilles R, Curran M, Ferreira MS, Lindenmayer DB, Grelle CE V, Rey Benayas JM. A global meta-analysis on the ecological drivers of forest restoration success. Nat Commun. 2016;7(1):11666. DOI: 10.1038/ncomms11666 DOI: https://doi.org/10.1038/ncomms11666
30. Holl KD, Reid JL, Chaves-Fallas JM, Oviedo-Brenes F, Zahawi RA. Local tropical forest restoration strategies affect tree recruitment more strongly than does landscape forest cover. Journal of Applied Ecology. John Wiley & Sons, Ltd; 2017;54(4):1091–9. DOI: https://doi.org/10.1111/1365-2664.12814 DOI: https://doi.org/10.1111/1365-2664.12814
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