CAN ECONOMIC COSTS BE FACTORED INTO CONSERVATION PLANNING PROCESSES?

Abstract

Society has been increasingly demanding of better environmental conservation practices as a solution to the ongoing crisis causing extreme weather events and biodiversity loss. Yet, a key issue for the definition of priority locations for protected areas that meet the intended conservation goals remains: how to factor and spatialize monetary costs in the goal-function of the planning for areas that better reflect the decision-making influences in the territory. We presented, in this study, the monetary acquisition costs for land purchasing and the opportunity costs for the Piracicaba, Capivari and Jundiaí watersheds. We adopt an approach derived from spatial analysis and remote sensing methodological processes to compile and link information tabulated from farmer assistance institutions with information on natural elements obtained through land use and land cover mapping. Subsequently, we merged data from the geospatial monetary matrix with exact-objects data obtained from the Operation Land Imager (OLI) multispectral sensor attached to the Landsat 8 satellite. Finally, we identified that the monetary costs for conservation actions in the study area have inverse values and that including them in the planning goal-function can help prioritize protected areas that will be less prone to conflict over land-use due to clashes with the economic activity of a territory.

Keywords: Opportunity Costs, Acquisition Costs, Protected Areas

Author Biographies

Ulises Rodrigo Magdalena, Campinas State University, Campinas (SP), Brazil.

PhD Student in Geography at the State University of Campinas - UNICAMP. Master in Biosystems Engineering and Graduated in Geography from Universidade Federal Fluminense - UFF. He holds a Magisterium from the Specific Center for Training and Improvement of Teaching-CEFAM. He worked at the Biodiversity Assessment and Monitoring Laboratory (SAGE / COPPE-UFRJ) and at the REDE ABROLHOS research group in the development of studies applied to marine conservation. He participated in the SiBBr project at the Center for Scientific Computing and Geoprocessing at the Botanical Garden Research Institute of Rio de Janeiro, IP / JBRJ. He was a member of the Institutional Scholarship Program for Teaching Initiation-PIBID (2011-2013). He participated in the UFF International Academic Mobility program, in the Geotechnical and Geoenvironmental Engineering course at the Instituto Superior de Engenharia do Porto-ISEP, in Portugal, in the first half of 2014.

Cassiano Gustavo Messias, Campinas State University, Campinas (SP), Brazil.

PhD in Geography, from the State University of Campinas (2018). He worked on projects developed in the laboratories of Geomorphology and Soils (ICN-Unifal-MG), Geosoils (Epamig-UFLA), Spatial Analysis and Geoprocessing (IG-Unicamp) and Learning in Logistics and Transport (FEC-Unicamp). Currently, he works as an auditor in the Project for Monitoring Deforestation in the Legal Amazon by Satellite (PRODES), at the National Institute for Space Research (INPE). Area of expertise: Remote Sensing, Geoprocessing, Spatial Analysis and Spatial Data Modeling in GIS.

Juan Pablo Zbrun Luoni, National University of Los Comechingones, San Luis, Argentina.

Master in Spatial Planning from the International University of Barcelona - University of Barcelona, Spain. He was a fellow of the Institutional Scholarship Program for Teaching Initiation (PIBID-CAPES), as well as a fellow of the Confucius Institute for six months at the Normal University of Hebei, China. He is currently an adjunct professor at the "Universidad Nacional de Los Comechingones" (Argentina). He was project manager at the Resurgence Project, Department of Geochemistry at the Fluminense Federal University, UFF, Niterói-RJ and collaborated in the communication area at the Laboratory for Analysis and Processing of Satellite Images Lapis-ICAT-UFAL. He has experience in urban-regional territorial planning with an interest in urban geography. Theme associated with the reality of the countries of South America and China.

Raul Reis Amorim, Campinas State University, Campinas (SP), Brazil.

He is currently a MS 3.2 professor, and recently approved in the Contest for Free Lecturer in the area of Analysis and Management of Watersheds (title in approval). He is the coordinator of the Graduate Program in Geography and was Head of the Department of Geography (DGEO) for two terms at the Institute of Geosciences (IG) at the State University of Campinas (UNICAMP). He holds a degree in Geography from the State University of Santa Cruz (2005), a Master's in Geography from the State University of Campinas (UNICAMP)-2007, and a PhD in Geography also from UNICAMP (2011). He completes Postdoctoral Internship at UNICAMP (March / 2015). He works in the area of Geography, with emphasis on Physical Geography, working mainly with the following themes: Geosystemic Landscape Analysis, Analysis, Planning and Management of Hydrographic Basins with emphasis on areas subject to floods and droughts, Vulnerability and Risks applied to floods and Planning Environment in Conservation Units.

References

ANDRADE, Daniel Caixeta; ROMEIRO, Ademar R. Valoração de serviços ecossistêmicos : por que e como avançar ? Sustentabilidade em Debate, [S. l.], v. 4, n. 1, p. 43–58, 2014. DOI: https://doi.org/10.18472/SustDeb.v4n1.2013.9199.
ARMSWORTH, Paul R. et al. Factoring economic costs into conservation planning may not improve agreement over priorities for protection. Nature Communications, [S. l.], v. 8, n. 1, 2017. DOI: 10.1038/s41467-017-02399-y. Disponível em: http://dx.doi.org/10.1038/s41467-017-02399-y.

BERNASCONI, Paula; BLUMENTRATH, Stefan; BARTON, David N.; RUSCH, Graciela M.; ROMEIRO, Ademar R. Constraining forest certificate’s market to improve cost-effectiveness of biodiversity conservation in São Paulo State, Brazil. PLoS ONE, [S. l.], v. 11, n. 10, p. 1–18, 2016. DOI: 10.1371/journal.pone.0164850.
BLASCHKE, T. Object based image analysis for remote sensing. ISPRS Journal of Photogrammetry and Remote Sensing, [S. l.], v. 65, n. 1, p. 2–16, 2010. DOI: 10.1016/j.isprsjprs.2009.06.004. Disponível em: http://dx.doi.org/10.1016/j.isprsjprs.2009.06.004.
BOYD, James; EPANCHIN-NIELL, Rebecca; SIIKAMAKI, Juha. Conservation Return on Investment Analysis: A Review of Results, Methods, and New Directions. Resources for the Future Discussion Papers, [S. l.], n. January, 2012.
CARWARDINE, Josie; WILSON, Kerrie A.; HAJKOWICZ, Stefan A.; SMITH, Robert J.; KLEIN, Carissa J.; WATTS, Matt; POSSINGHAM, Hugh P. Conservation planning when costs are uncertain. Conservation Biology, [S. l.], v. 24, n. 6, p. 1529–1537, 2010. DOI: 10.1111/j.1523-1739.2010.01535.x.
CONGALTON, Russell G.; GREEN, Kass. Assessing the Accuracy of Remotely Sensed Data. [s.l: s.n.]. DOI: 10.1201/9781420055139.
COSTANZA, Robert et al. The value of the world’s ecosystem services and natural capital. Nature, [S. l.], v. 387, n. 6630, p. 253–260, 1997. DOI: 10.1038/387253a0.
DE GROOT, Rudolf S.; WILSON, Matthew A.; BOUMANS, Roelof M. J. A typology for the classification, description and valuation of ecosystem functions, goods and services. Ecological Economics, [S. l.], v. 41, n. 3, p. 393–408, 2002. DOI: 10.1016/S0921-8009(02)00089-7.
GAROFALO, Danilo Francisco Trovo; MESSIAS, Cassiano Gustavo; LIESENBERG, Veraldo; BOLFE, Édson Luis; FERREIRA, Marcos César. Análise comparativa de classificadores digitais em imagens do Landsat-8 aplicados ao mapeamento temático. Pesquisa Agropecuária Brasileira, [S. l.], v. 50, n. 7, p. 593–604, 2015. DOI: 10.1590/S0100-204X2015000700009. Disponível em: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2015000700593&lng=pt&tlng=pt.
GASPARINI, Kaio Allan Cruz; LYRA, Gustavo Bastos; FRANCELINO, Márcio Rocha; DELGADO, Rafael Coll; DE OLIVEIRA JUNIOR, José Francisco; FACCO, Alexandro Gomes. Técnicas de geoprocessamento e sensoriamento remoto aplicadas na identificação de conflitos do uso da terra em seropédica-RJ. Floresta e Ambiente, [S. l.], v. 20, n. 3, p. 296–306, 2013. DOI: 10.4322/floram.2013.030.
HSU, Chih-Wei; CHANG, Chih-Chung; LIN, Chih-Jen. A Practical Guide to Support Vector Classificatio, 2016.
MARGULES, C.; SARKAR, S. Systematic conservation planning. Cambridge: Cambridge University Press, 2007.
MMA, Ministério do Meio Ambiente. Serviços ecossistêmicos. 2021. Disponível em: https://antigo.mma.gov.br/component/k2/item/15320-serviços-ecossistêmicos.html#serviços-ambientais.
MONTEIRO, Lara M.; BRUM, Fernanda Thiesen; PRESSEY, Robert L.; MORELLATO, Leonor Patricia C.; SOARES-FILHO, Britaldo; LIMA-RIBEIRO, Matheus S.; LOYOLA, Rafael. Evaluating the impact of future actions in minimizing vegetation loss from land conversion in the Brazilian Cerrado under climate change. Biodiversity and Conservation, [S. l.], v. 29, n. 5, p. 1701–1722, 2020. DOI: 10.1007/s10531-018-1627-6. Disponível em: https://doi.org/10.1007/s10531-018-1627-6.
MOORE, Joslin; BALMFORD, Andrew; ALLNUTT, Tom; BURGESS, Neil. Integrating costs into conservation planning across Africa. Biological Conservation, [S. l.], v. 117, n. 3, p. 343–350, 2004. DOI: 10.1016/j.biocon.2003.12.013.
NAIDOO, Robin; BALMFORD, Andrew; FERRARO, Paul J.; POLASKY, Stephen; RICKETTS, Taylor H.; ROUGET, Mathieu. Integrating economic costs into conservation planning. Trends in Ecology and Evolution, [S. l.], v. 21, n. 12, p. 681–687, 2006. DOI: 10.1016/j.tree.2006.10.003.
NAIDOO, Robin; RICKETTS, Taylor H. Mapping the economic costs and benefits of conservation. PLoS Biology, [S. l.], v. 4, n. 11, p. 2153–2164, 2006. DOI: 10.1371/journal.pbio.0040360.
PETTORELLI, Nathalie; GRAHAM, Nicholas A. J.; SEDDON, Nathalie; MARIA DA CUNHA BUSTAMANTE, Mercedes; LOWTON, Matthew J.; SUTHERLAND, William J.; KOLDEWEY, Heather J.; PRENTICE, Honor C.; BARLOW, Jos. Time to integrate global climate change and biodiversity science‐policy agendas. Journal of Applied Ecology, [S. l.], n. March, p. 1–10, 2021. DOI: 10.1111/1365-2664.13985.
PONZONI, Flávio Jorge; ALMEIDA, Eugênio Sper De. A estimativa do parâmetro Kappa (K) da análise multivariada discreta no contexto de um SIG. In: ANAIS VIII SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO 1996, Anais [...]. [s.l: s.n.] p. 5.
PORTO, Rubem La Laina. Técnicas quantitativas para o gerenciamento de recursos hídricos. Porto Alegre: Editora da Universidade/UFRGS/Associação Brasileira de Recursos Hídricos, 1997.
PRESSEY, Robert L.; CABEZA, Mar; WATTS, Matthew E.; COWLING, Richard M.; WILSON, Kerrie A. Conservation planning in a changing world. Trends in Ecology and Evolution, [S. l.], v. 22, n. 11, p. 583–592, 2007. DOI: 10.1016/j.tree.2007.10.001.
PRESSEY, Robert L.; HUMPHRIES, C. J.; MARGULES, C. R.; WILLIAMS, P. H. Beyond Opportunism: Key Principles for Systematic Reserve Selection. [S. l.], v. 8, n. 4, p. 1–5, 1993. Disponível em: papers://773e1414-d1d9-45a1-893d-01f089442455/Paper/p710.
PRESSEY; WHISH, G. ..; BARRETT, T. ..; WATTS, M. .. Effectiveness of protected areas in north-eastern New South Wales: recent trends in six measures. Biological Conservation, [S. l.], v. 106, n. 1, p. 57–69, 2002. DOI: 10.1016/S0006-3207(01)00229-4. Disponível em: https://www.sciencedirect.com/science/article/pii/S0006320701002294. Acesso em: 16 out. 2019.
ROBINSON, David J.; REDDING, Nicholas J.; CRISP, David J. Implementation of a Fast Algorithm for Segmenting SAR Imagery 2002.
ROCHEDO, Pedro R. R. et al. The threat of political bargaining to climate mitigation in Brazil. Nature Climate Change, [S. l.], v. 8, n. 8, p. 695–698, 2018. DOI: 10.1038/s41558-018-0213-y. Disponível em: https://doi.org/10.1038/s41558-018-0213-y.
SMITH, Robert J.; GOODMAN, Peter S.; MATTHEWS, Wayne S. Systematic conservation planning: A review of perceived limitations and an illustration of the benefits, using a case study from Maputaland, South Africa. Oryx, [S. l.], v. 40, n. 4, p. 400–410, 2006. DOI: 10.1017/S0030605306001232.
STUMPF, André; KERLE, Norman. Object-oriented mapping of landslides using Random Forests. Remote Sensing of Environment, [S. l.], v. 115, n. 10, p. 2564–2577, 2011. DOI: 10.1016/j.rse.2011.05.013. Disponível em: http://dx.doi.org/10.1016/j.rse.2011.05.013.
TEIXEIRA, João B. et al. A habitat-based approach to predict impacts of marine protected areas on fishers. Conservation Biology, [S. l.], v. 32, n. 5, p. 1096–1106, 2018. DOI: 10.1111/cobi.12974.
UNITED, Nations; UNION, European; NATIONS, Food and Agriculture Organization of the United; DEVELOPMENT, Organisation for Economic Co-operation and; GROUP, World Bank. System of Environmental Economic Accounting 2012: Experimental Ecosystem Accounting. New York: OECD, 2014. DOI: 10.1787/9789210562850-en. Disponível em: https://www.oecd-ilibrary.org/environment/system-of-environmental-economic-accounting-2012_9789210562850-en.
WU, Ting Fan; LIN, Chih Jen; WENG, Ruby C. Probability estimates for multi-class classification by pairwise coupling. Journal of Machine Learning Research, [S. l.], v. 5, p. 975–1005, 2004.
XIAOYING, Jin. (12) Patent Application Publication (10) Pub. No.: US 2009/0123070 A1 2009.
Published
05/11/2022
How to Cite
MAGDALENA, Ulises Rodrigo et al. CAN ECONOMIC COSTS BE FACTORED INTO CONSERVATION PLANNING PROCESSES?. Mercator, Fortaleza, v. 21, nov. 2022. ISSN 1984-2201. Available at: <http://www.mercator.ufc.br/mercator/article/view/e21017>. Date accessed: 21 feb. 2024. doi: https://doi.org/10.4215/rm2022.e21017.
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