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Modelling factors affecting landholders' adoption of recommended natural resource management practices in the Wet Tropics region (Part A)

Nick Emtage, Carl Smith and John Herbohn
School of Integrative Systems, The University of Queensland

With complementary report (Part B) by Dr Bob Maczkowiack, The University of Queensland, 'Development of Bayesian Belief Network models linking the characteristics and circumstances of North Queensland landholders to their adoption of recommended land management practices'

ISBN 9781921359484
Published March 2010

MTSRF Project 4.9.4 - Integrating ecology, economics and people in forest and landscapes

Abstract

This report presents the results from a series of analyses that examined the adoption of a number of currently recommended practices (CRPs) to improve natural resource management (NRM) in the Wet Tropics region of far northern Queensland. The practices examined include a number that could be adopted by any rural landholder, those that could be applied by crop growers, and those that could be applied by graziers. Practices examined that could be applied by any landholder include the preparation of property or business plans, the encouragement of regrowth of native vegetation, attending short courses related to land management and participation in Government NRM programs. Practices examined that relate particularly to graziers include the fencing of native vegetation areas, fencing of waterways and the use of soil testing prior to fertiliser application. Practices examined that relate particularly to crop growers include the use of soil testing, minimum tillage, stubble retention, the use of legume rotations and the use of earthworks to control soil movement.
In general, compared to those that have not adopted CRPs relating to agriculture (e.g. soil testing and the adoption of minimum tillage), those that have adopted industry CRPs:

  • Are more motivated to build their business;
  • Support a greater number of people with income from the property;
  • Operate larger scaled enterprises;
  • Are more reliant on their property enterprises for income;
  • Tend to live in the 'lowland' (coastal plain) areas of the region;
  • Are more interested in information generally, particularly from 'enterprise' groups;
  • Have undertaken short courses on land management and have prepared a property or business plan;
  • Participate in more social groups (particularly 'industry' groups);
  • Have higher levels of trust for 'productivity' groups; and
  • Are more concerned about the future viability of agriculture.

The pattern of differences between landholders and their landholdings in regard to the adoption of the CRPs that relate to vegetation management differs to those related to agricultural industries, where the greatest adoption tends to be by those landholders with smaller landholding areas who are less reliant on agriculture for their income. In relation to the adoption of CRPs within the cropping industry there is some evidence of differences in the rates of adoption between differing parts of the region, particularly between the 'upland' and 'lowland' areas. While these general patterns of characteristics of those who have adopted recommended practices are evident, it is also apparent that there are a number of differences in the characteristics of landholders' attitudes, their landholdings and their behaviour that are unique to each CRP. A series of Bayesian Belief Networks were constructed and assessed for a subset of the CRPs that were examined for this report. The construction, testing and manipulation of these networks revealed that there is strong potential to use this technique to identify and illustrate the many inter-relationships between factors affecting the adoption of recommended practices.

The analysis of the spatial relationships commenced with the assessment of variations in attitudes, characteristics of the landholdings and practices that differed between landholders and their holdings according to their proximity to the Wet Tropics World Heritage Area (WTWHA). Landholders' properties were classified into a number of classes according to the minimum distance they are to the boundary of the WTWHA. Of all the analyses undertaken, the only significant result was that landholders whose properties are within one hundred metres of the boundary of the WTWHA are more concerned about the impacts of 'pests and weeds' than those whose properties are more than two kilometres from the boundary. A variety of additional research questions that could be addressed and datasets that could be used are described in this report.

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