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Factors affecting the cost of weed biocontrol programs in New Zealand
Institution:1. Landcare Research, Private Bag 92170, Auckland, New Zealand;2. Landcare Research, P.O. Box 69040, Lincoln, New Zealand;1. Technische Universität München, Department of Agriculture and Food Economics, Alte Akademie 12, 85354 Freising, Germany;2. Wageningen University, Agricultural Economics and Rural Policy, Hollandseweg 1, 6706KN Wageningen, Netherlands;1. Landcare Research, Private Bag 92170, Auckland, New Zealand;2. AgResearch Invermay, PB 50034 Mosgiel, New Zealand;3. Better Border Biosecurity (B3), New Zealand;1. Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora 3083, Australia;2. School of BioSciences, The University of Melbourne, Parkville 3052, Australia;3. State Herbarium of South Australia, Department of Environment & Water, Adelaide 5000, Australia;4. NSW Department of Primary Industries, Wagga Wagga Agricultural Institute, Wagga Wagga, 2650, Australia;5. Agriculture Victoria, Hamilton, Victoria 3030, Australia;1. Department of Zoology and Entomology, University of the Free State, P.O. Box 339, Bloemfontein 9300, South Africa;2. Weeds Division, Plant Protection Research Institute, Agricultural Research Council, Private Bag X6006, Hilton 3245, South Africa;1. Centre for Invasion Biology, Department of Botany and Zoology, Stellenbosch University, Private Bag X1, Matieland, 7602, South Africa;2. CSIRO Health & Biosecurity, Brisbane, GPO Box 2593, Brisbane 4001, Australia;3. CSIRO Health & Biosecurity, Canberra, GPO Box 1700, Canberra 2601, Australia;4. CABI, Rue des Grillons 1, 2800 Delémont, Switzerland
Abstract:Many national schemes for setting priorities for invasive weed management have emphasized the current or future impacts of the weed more than the cost or feasibility of control, perhaps because the latter may be difficult to estimate. As part of a project to improve prioritization of weed biocontrol targets in New Zealand, we investigated factors that were hypothesized to influence the cost of conducting weed biological control, using data from New Zealand programs. Taxonomic isolation of the target weed, relative to commercially important plants and native flora was not a significant influence on program cost, although we present evidence that disease, which to date has only affected agents released against taxonomically isolated weed targets, has masked the importance of taxonomic isolation in New Zealand. Opposition to biocontrol has caused delays, but has not had a major influence on the cost of biocontrol in New Zealand, probably because weed species with the greatest potential for opposition were identified during feasibility studies and avoided, or because conflicts were resolved by conducting cost-benefit analyses that were minor components of the total program costs. Only two factors explained virtually all the variance in program cost: program type (repeat programs were cheaper than novel/pioneering programs); and the number of agent species released. The predicted cost of future weed biocontrol programs can now be incorporated into decision-making tools ranking New Zealand weed biocontrol targets. Efficiencies in future programs are most likely to be gained by better agent selection so that fewer agents are released. For repeat programs this could be achieved by waiting until monitoring has been conducted overseas, so that the best agents or combination of agents can be selected for any particular weed. This reiterates the need for better post-release evaluation of weed biocontrol agent effectiveness worldwide.
Keywords:Weed biological control  Target selection  Prioritization  Cost
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