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  • 标题:Modeling of indicators for evaluation the sustainability of artisanal fishing in the surrounding of the National Forest Ibura, northeastern Brazil
  • 本地全文:下载
  • 作者:Carlos Eduardo Silva ; Ricardo Luiz Cavalcanti de Albuquerque Junior ; Cláudia Moura de Melo
  • 期刊名称:Revista Ibero-Americana de Ciências Ambientais
  • 电子版ISSN:2179-6858
  • 出版年度:2013
  • 卷号:4
  • 期号:1
  • 页码:45-55
  • DOI:10.6008/ESS2179-6858.2013.001.0004
  • 语种:English
  • 出版社:Escola Superior de Sustentabilidade
  • 摘要:Brazil is the holder of the greatest biodiversity on the planet, and can not shirk regarding the development of monitoring templates related to nature conservation and sustainable use of natural resources. In this sense, this research aimed to develop a model for evaluating indicators based on the methodology MESMIS (Marco para la Evaluación de Sistemas de Manejo de Recursos Naturales incorporando Indicadores de Sustentabilidade) for use in its level of fishing communities or extractive related to protected areas, based on the existing community of fishermen in the surrounding National Forest Ibura, Brazil. The MESMIS the methodological basis was chosen for model development and evaluation indicators. Descriptive statistics analyzed censitariamente (N=100) with the minimum (MIN), medium (MED), desirable (P75), and maximum (MAX). The resulting model consists of 14 sustainability indicators that meet the attributes: (a) productivity, (b) stability, resilience and reliability, (c) adaptability, (d) equity, (e) self-management. It is possible to conclude that there is technical feasibility and to develop mathematical models of sustainability assessment systems based on indicators. When reviewed in complex revealed that artisanal fisheries developed in the analyzed system has a Relative Sustainability Index (IRS) of 26%. The results also demonstrated that it is possible to reach an IRS=33% based on the local situation (P75).
  • 关键词:Sustainability Indicators; MESMIS; Artisanal Fisheries; Extraction; Conservation Units; Protected Areas
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