The challenge to modelling system interdependency across the natural environment and agriculture

Burdock, R. and Crawford, J. (2012) The challenge to modelling system interdependency across the natural environment and agriculture. Management of Environmental Quality, 23(5), pp. 527-535. (doi: 10.1108/14777831211255105)

Abstract

Purpose: The purpose of this paper is to explore challenges to be incorporated when modelling the relationship between the natural environment and agriculture at the whole‐of‐system level. Design/methodology/approach: This paper uses a systematic approach to build a case supporting an understanding of the concepts necessary when modelling the complex relationships between agriculture and the environment. Examples are given from previous studies on issues to be considered in each of the broad interacting systems. Findings: The paper presents the argument that modelling complexity at the whole‐of‐systems level can inform multiple policy and management interventions to change the future trajectory of the entire integrated system towards a more favourable outcome. Specific to this paper, this is proposed to be one where the total system allows a process that regenerates the natural environment and concurrently provides sufficient nutritious food for society. Modelling is an essential tool for dealing with this level of complexity, providing an understanding of the specific connectivity between elements in agriculture, food nutrition, social support for policy and environmental health. Originality/value: The originality of this paper is that it highlights each of the major system elements of agriculture, the natural environment and society required for a successful model design.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Crawford, Professor John
• Authors: Burdock, R., and Crawford, J.
• College/School: College of Social Sciences > Adam Smith Business School > Management
• Journal Name: Management of Environmental Quality
• Publisher: Emerald
• ISSN: 1477-7835
• ISSN (Online): 1758-6119