The essential parameters of a resource-based carrying capacity assessment model : an Australian case study

Lane, Murray C., Dawes, Les A., & Grace, Peter (2014) The essential parameters of a resource-based carrying capacity assessment model : an Australian case study. Ecological Modelling, 272, pp. 220-231.

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Abstract

Carrying capacity assessments model a population’s potential self-sufficiency. A crucial first step in the development of such modelling is to examine the basic resource-based parameters defining the population’s production and consumption habits. These parameters include basic human needs such as food, water, shelter and energy together with climatic, environmental and behavioural characteristics. Each of these parameters imparts land-usage requirements in different ways and varied degrees so their incorporation into carrying capacity modelling also differs. Given that the availability and values of production parameters may differ between locations, no two carrying capacity models are likely to be exactly alike. However, the essential parameters themselves can remain consistent so one example, the Carrying Capacity Dashboard, is offered as a case study to highlight one way in which these parameters are utilised. While examples exist of findings made from carrying capacity assessment modelling, to date, guidelines for replication of such studies in other regions and scales have largely been overlooked. This paper addresses such shortcomings by describing a process for the inclusion and calibration of the most important resource-based parameters in a way that could be repeated elsewhere.

Impact and interest:

7 citations in Scopus
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6 citations in Web of Science®

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ID Code: 65503
Item Type: Journal Article
Refereed: Yes
Additional URLs:
Keywords: carrying capacity, population, parameters, dynamic modelling, dashboard, online interface
DOI: 10.1016/j.ecolmodel.2013.10.006
ISSN: 1872-7026
Subjects: Australian and New Zealand Standard Research Classification > ENVIRONMENTAL SCIENCES (050000) > ENVIRONMENTAL SCIENCE AND MANAGEMENT (050200) > Environmental Impact Assessment (050204)
Australian and New Zealand Standard Research Classification > ENVIRONMENTAL SCIENCES (050000) > ENVIRONMENTAL SCIENCE AND MANAGEMENT (050200) > Environmental Management (050205)
Australian and New Zealand Standard Research Classification > ENVIRONMENTAL SCIENCES (050000) > ENVIRONMENTAL SCIENCE AND MANAGEMENT (050200) > Natural Resource Management (050209)
Divisions: Current > Schools > School of Earth, Environmental & Biological Sciences
Current > Institutes > Institute for Future Environments
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2013 Elsevier BV
Copyright Statement: NOTICE: this is the author’s version of a work that was accepted for publication in Ecological Modelling. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Ecological Modelling, 272, (2014) DOI: http://dx.doi.org/10.1016/j.ecolmodel.2013.10.006
Deposited On: 20 Dec 2013 00:01
Last Modified: 25 Jan 2016 05:42

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