Please use this identifier to cite or link to this item: https://repositorio.inpa.gov.br/handle/1/23300
Title: Stochastic modeling in human carrying-capacity estimation: A tool for development planning in Amazonia
Authors: Fearnside, Philip Martin
Keywords: en
Issue Date: 2019
metadata.dc.publisher.journal: The Dilemma of Amazonian Development
Abstract: The assumptions associated with carrying-capacity estimates have been a major limitation on attempts to make meaningful estimates. Carrying capacity provides an ideal framework for examining and organizing development goals. The focus of carrying-capacity estimation on sustainability is highly appropriate, and unfortunately often lacking, in development considerations. Consequences of ignoring carrying capacity in planning can be expected to be severe in terms of the suffering and the sacrifice of other goals, such as areas designated for preservation of natural habitats, Amerindian tribes, and so forth. The purpose of a carrying-capacity estimate is to be the primary factor shaping the approach used in estimating and selecting component parts to be included in a development study. A stochastic simulation model, KPROG2, has been written for estimating carrying capacity in a part of Brazil’s Transamazon Highway colonization area. The KPROG2 program represents a starting point for many possible improvements in the theoretical basis of carrying-capacity estimation. © 1983 Taylor & Francis.
metadata.dc.identifier.doi: 10.4324/9780429310041-14
Appears in Collections:Artigos

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.