Proposta de um conjunto mínimo de indicadores biofísicos para o monitoramento da sustentabilidade em sistemas agroflorestais

• Autor(a) principal: Daniel, Omar
• Data de Publicação: 2015
• Outros Autores: Couto, Laércio, Silva, Elias, Passos, Carlos Alberto Moraes, Garcia, Rasmo, Jucksch, Ivo
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Repositório Institucional da UFLA
• Texto Completo: http://repositorio.ufla.br/jspui/handle/1/14210
• topic: Desenvolvimento sustentável; Indicadores de sustentabilidade; Indicadores ambientais; Sustainable development; Sustainability indicators; Agroforestry systems indicators

Agroforestry Systems are considered sustainable alternatives to intensive production systems and due to the scarcity of research work related to the evaluation of sustainability of Agroforestry Systems, selection criteria are proposed which were applied to indicators already known in the pertinent literature. The objective of this paper comprised therefore the use of the smallest group of indicators which would be able to satisfy the requirements for monitoring environmental sustainability of Agroforestry Systems including or not the animal component. The main conclusions were: the category of endogenous resources involved the greatest number of indicators in the biophysical component; the greatest concentration of indicators in the category of endogenous resources is located in the fauna, flora and soil components; the element technical management showed the major occurrence of indicators in the category of operation of the system; all elements of the category of exogenous resources showed about the same number of indicators; the animal component of the Agroforestry Systems require greater number of indicators; the majority of the indicators suggested in this paper depend only upon the direct observations and only a small number need laboratorial analyses; most indicators suggested is cheap and easy to apply; Agroforestry Systems without the animal component are easier and cheapes to monitor.