Agro-forestry evaluation: using goal programming: a case study in the Canterbury foothills: A thesis submitted in partial fulfilment of the requirements for the degree of Master of Applied Science in the University of Canterbury [Centre for Resource Management, University of Canterbury and Lincoln College]

dc.contributor.authorPercival, B. S.
dc.date.accessioned2011-02-15T04:07:19Z
dc.date.available2011-02-15T04:07:19Z
dc.date.issued1986
dc.description.abstractThe assessment of multiple land uses is a challenging area in applied policy-related research. The question of which land use combinations best meet the needs of society is complicated by the fact that various use options are not directly comparable. Goal programming is a method by which multiple land use can be assessed, without the need to convert levels of output to a common measurement unit. By specification of priorities and levels of achievement the optimal mix of uses can chosen to meet the goals of the users. This study is an introduction to practical Goal programming with the use of agro-forestry versus pure pastoral farming and pure forestry as an example of conflicting land use. Although not a complicated example, the study demonstrates the key attributes of Goal programming, including multiple measurement units for outputs, the use of priority weightings, the setting of achievement levels and sensitivity analysis of results. The role of the program analyst is not to make the choice, but to present the results so that the decision-maker can clearly understand the implications of making a final decision. In this study a major issue was that of tree density for agro-forestry. Agro-forestry has an economic advantage over conventional pastoral farming on the lower producing foothills where diversification into other less conventional forms of pastoral farming is not practical. A major limitation to the establishment of agro-forestry is the high initial capital requirement and the length of time before any substantial benefits can be gained. The results suggest that the tree density of 100 stems per hectare is the most profitable but this tree density is still expensive, showing negative returns in most years and only in year 30 does any substantial benefit accrue.en
dc.format.extentxiv, 254 pages
dc.identifier.urihttps://hdl.handle.net/10182/3265
dc.identifier.wikidataQ112848146
dc.language.isoen
dc.publisherLincoln College, University of Canterbury
dc.rights.accessRightsDigital thesis can be viewed by current staff and students of Lincoln University only. If you are the author of this item, please contact us if you wish to discuss making the full text publicly available.en
dc.rights.urihttps://researcharchive.lincoln.ac.nz/pages/rights
dc.subjectgoal programmingen
dc.subjectagroforestryen
dc.subjectmultiple land usesen
dc.subjectCanterburyen
dc.subjectmultiple criteria decision making (MCDM)en
dc.subjecttree densityen
dc.subjectdecision makingen
dc.subjectland useen
dc.subjectfoothillsen
dc.subject.anzsrcANZSRC::070501 Agroforestryen
dc.subject.anzsrcANZSRC::070105 Agricultural Systems Analysis and Modellingen
dc.subject.anzsrcANZSRC::140201 Agricultural Economicsen
dc.subject.anzsrcANZSRC::050205 Environmental Managementen
dc.titleAgro-forestry evaluation: using goal programming: a case study in the Canterbury foothills: A thesis submitted in partial fulfilment of the requirements for the degree of Master of Applied Science in the University of Canterbury [Centre for Resource Management, University of Canterbury and Lincoln College]en
dc.typeThesisen
lu.contributor.unitDepartment of Environmental Management
lu.thesis.supervisorLeathers, K
lu.thesis.supervisorO'Connor, K. F.
thesis.degree.grantorUniversity of Canterburyen
thesis.degree.levelMastersen
thesis.degree.nameMaster of Applied Scienceen
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