000123685 001__ 123685
000123685 005__ 20180122221135.0
000123685 037__ $$a411-2016-25765
000123685 041__ $$aen_US
000123685 245__ $$aA Dynamic Optimisation Model of Weed Control
000123685 260__ $$c2000-01
000123685 269__ $$a2000-01
000123685 300__ $$a13
000123685 336__ $$aConference Paper/ Presentation
000123685 520__ $$aIt is argued in this paper that static approaches to weed management, where the
benefits and costs are only considered within a single season, are inappropriate for
assessing the economic benefits of weed control technologies. There are carryover
effects from weed management as weeds that escape control in one season may
reproduce and replenish weed populations in following seasons. Consequently, it is
appropriate to view weed control in the context of a resource management problem
where the goal is to determine the optimal inter-temporal level of weed control that
maximises economic benefits over some pre-determined period of time.
A dynamic optimisation model for weed control is presented. Using the tools of
comparative static analysis and Pontryagin's maximum principle, the conditions for
optimal input use (ie weed control) are compared for static and dynamic situations. It
is shown that a higher level of input use for a given weed population is optimal using
a dynamic framework than would be derived under a static framework. The analysis is
further extended by the incorporation of uncertainty and shows that the optimal level
of weed control is also affected by uncertainty in herbicide efficacy and the survival
of weed seeds produced. A case study of the optimal long-term management under
deterministic and stochastic conditions of an annual cropping weed, Avena fatua, is
000123685 542__ $$fLicense granted by Elizabeth Hilber (hilb0033@umn.edu) on 2012-05-21T18:56:53Z (GMT):

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000123685 650__ $$aCrop Production/Industries
000123685 700__ $$aJones, Randall E.
000123685 700__ $$aCacho, Oscar J.
000123685 8564_ $$s146089$$uhttp://ageconsearch.umn.edu/record/123685/files/Jones.pdf
000123685 887__ $$ahttp://purl.umn.edu/123685
000123685 909CO $$ooai:ageconsearch.umn.edu:123685$$pGLOBAL_SET
000123685 912__ $$nSubmitted by Elizabeth Hilber (hilb0033@umn.edu) on 2012-05-21T19:10:37Z
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000123685 912__ $$nMade available in DSpace on 2012-05-21T19:10:39Z (GMT). No. of bitstreams: 1
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  Previous issue date: 2000-01
000123685 982__ $$gAustralian Agricultural and Resource Economics Society>2000 Conference (44th), January 23-25, 2000, Sydney, Australia
000123685 980__ $$a411