Use este identificador para citar ou linkar para este item: http://hdl.handle.net/1843/51777
Tipo: Artigo de Evento
Título: Mapping socio-biodiversity: do old modelling tools suit new challenges?
Autor(es): Sónia Carvalho Ribeiro
William Leles da Costa
Amanda Ribeiro de Oliveira
Danilo da Silveira Figueira
Isabella Lorenzini da Silva Teixeira
Lilian Aline Machado
Herman Rodrigues Oliveira
Britaldo Silveira Soares Filho
Resumo: This work shows an original use of classical methods in land change modelling. The aim of this study is to model yields (productivity) and economic importance (annual rents) of rubber and Brazil nut in the Brazilian Amazon. Biophysical variables related to rubber and Brazil nut yields as well as market access (commercialization) were used to model favorability of productivity using Weights of Evidence (WofE) method. To favorability of productivity were assigned yields base on case study data. The economic model then combines the map of yields with output prices and costs of collection, processing, and transport to estimate annual rents per hectare for a specific forest plot. For estimating transport costs we used cost friction surface modelling tools. Our results show that yields for Brazil nut averages 8.19±7.41 kg ha-1year-1 and rent averages US$ 5.05±7.49 ha-1year-1. Rubber average yields is of 3.53 kg/ha/year and rubber rents average US$ 0.56±0.7ha-1year-1. Coupling biophysical a nd economic models allowed us to explore which environmental and governance improvements are needed to avoid deforestation and forest degradation in the Brazilian Amazon. Our results also show that despite some methodological issues and the recurrent call for “new” modelling approaches for addressing the complexity of socio ecological systems, “old” modelling tools such as Weight of Evidence and Cost Friction Surface, are still suited for addressing the challenge of mapping socio-biodiversity.
Assunto: Reservas extrativistas
Produtos florestais não madeireiros
Ecologia
Idioma: eng
País: Brasil
Editor: Universidade Federal de Minas Gerais
Sigla da Instituição: UFMG
Departamento: IGC - DEPARTAMENTO DE CARTOGRAFIA
Tipo de Acesso: Acesso Aberto
Identificador DOI: http://doi.org/10.5220/0006383903350340
URI: http://hdl.handle.net/1843/51777
Data do documento: 2017
metadata.dc.url.externa: https://www.scitepress.org/PublicationsDetail.aspx?ID=0uBydNBeIPU%3d&t=1
metadata.dc.relation.ispartof: International Conference on Geographical Information Systems Theory, Applications and Management - GAMOLCS
Aparece nas coleções:Artigo de Evento

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