IDEAS home Printed from https://ideas.repec.org/p/ags/aare09/47620.html
   My bibliography  Save this paper

Optimising woody-weed control

Author

Listed:
  • Zull, Andrew F.
  • Cacho, Oscar J.
  • Lawes, Roger A.

Abstract

Woody weeds pose significant threats to the 12.3 billion dollar Australian grazing industry. These weeds reduce stocking rate, increase mustering effort, and impede cattle access to waterways. Two major concerns of woody-weed management are the high cost of weed management with respect to grazing gross margins, and episodic seedling recruitments due to climatic conditions. This case study uses a Stochastic Dynamic Programming (SDP) model to determine the optimal weed management decisions for chinee apple (Ziziphus mauritiana) in northern Australian rangelands to maximise grazing profits. Weed management techniques investigated include: no-control, burning, poisoning, and mechanical removal (blade ploughing). The model provides clear weed management thresholds and decision rules, with respect to weed-free gross margins and weed management costs.

Suggested Citation

  • Zull, Andrew F. & Cacho, Oscar J. & Lawes, Roger A., 2009. "Optimising woody-weed control," 2009 Conference (53rd), February 11-13, 2009, Cairns, Australia 47620, Australian Agricultural and Resource Economics Society.
    • Handle: RePEc:ags:aare09:47620
    DOI: 10.22004/ag.econ.47620
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/47620/files/Zull.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.47620?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Robert Deacon & Charles Kolstad & Allen Kneese & David Brookshire & David Scrogin & Anthony Fisher & Michael Ward & Kerry Smith & James Wilen, 1998. "Research Trends and Opportunities in Environmental and Natural Resource Economics," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 11(3), pages 383-397, April.
    2. Pannell, David J. & Stewart, Vanessa & Bennett, Anne & Monjardino, Marta & Schmidt, Carmel & Powles, Stephen B., 2004. "RIM: a bioeconomic model for integrated weed management of Lolium rigidum in Western Australia," Agricultural Systems, Elsevier, vol. 79(3), pages 305-325, March.
    3. Kennedy, John O. S., 1988. "Principles of dynamic optimization in resource management," Agricultural Economics, Blackwell, vol. 2(1), pages 57-72, June.
    4. Pannell, David J., 1990. "An Economic Response Model Of Herbicide Application For Weed Control," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 34(3), pages 1-19, December.
    5. Pandey, Sushil & Medd, R. W., 1990. "Integration of seed and plant kill tactics for control of wild oats: An economic evaluation," Agricultural Systems, Elsevier, vol. 34(1), pages 65-76.
    6. Odom, Doreen I. S. & Cacho, Oscar J. & Sinden, J. A. & Griffith, Garry R., 2003. "Policies for the management of weeds in natural ecosystems: the case of scotch broom (Cytisus scoparius, L.) in an Australian national park," Ecological Economics, Elsevier, vol. 44(1), pages 119-135, February.
    7. Randall Jones & Oscar Cacho & Jack Sinden, 2006. "The importance of seasonal variability and tactical responses to risk on estimating the economic benefits of integrated weed management," Agricultural Economics, International Association of Agricultural Economists, vol. 35(3), pages 245-256, November.
    8. C. Robert Taylor & Oscar R. Burt, 1984. "Near-Optimal Management Strategies for Controlling Wild Oats in Spring Wheat," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 66(1), pages 50-60.
    9. Monjardino, Marta & Pannell, David J. & Powles, Stephen B., 2005. "The economic value of glyphosate-resistant canola in the management of two widespread crop weeds in a Western Australian farming system," Agricultural Systems, Elsevier, vol. 84(3), pages 297-315, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chalak-Haghighi, Morteza & Pannell, David J., 2010. "Economics of controlling a spreading environmental weed," 2010 Conference (54th), February 10-12, 2010, Adelaide, Australia 58886, Australian Agricultural and Resource Economics Society.
    2. Jones, Randall E. & Cacho, Oscar J., 2000. "A Dynamic Optimisation Model of Weed Control," 2000 Conference (44th), January 23-25, 2000, Sydney, Australia 123685, Australian Agricultural and Resource Economics Society.
    3. Russell J. Gorddard & David J. Pannell & Greg Hertzler, 1995. "An Optimal Control Model For Integrated Weed Management Under Herbicide Resistance," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 39(1), pages 71-87, April.
    4. Morteza Chalak & David J. Pannell, 2015. "Optimal Integrated Strategies to Control an Invasive Weed," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 63(3), pages 381-407, September.
    5. Beltran, Jesusa C. & Pannell, David J. & Doole, Graeme J., 2011. "Economic impacts of high labour cost and herbicide resistance for the management of annual barnyardgrass (Echinochloa crus-galli) in rice production in the Philippines," Working Papers 108770, University of Western Australia, School of Agricultural and Resource Economics.
    6. Jacobs, A. & Kingwell, R., 2016. "The Harrington Seed Destructor: Its role and value in farming systems facing the challenge of herbicide-resistant weeds," Agricultural Systems, Elsevier, vol. 142(C), pages 33-40.
    7. Gorddard, Russell J. & Pannell, David J. & Hertzler, Greg, 1996. "Economic evaluation of strategies for management of herbicide resistance," Agricultural Systems, Elsevier, vol. 51(3), pages 281-298, July.
    8. Jones, Randall E. & Cacho, Oscar J. & Sinden, Jack A., 2003. "Modelling the Dynamics of Weed Management Technologies," 2003 Conference (47th), February 12-14, 2003, Fremantle, Australia 57902, Australian Agricultural and Resource Economics Society.
    9. Pannell, David J., 1994. "The Value Of Information In Herbicide Decision Making For Weed Control In Australian Wheat Crops," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 19(2), pages 1-16, December.
    10. Wallinga, Jacco, 1998. "Analysis of the rational long-term herbicide use: Evidence for herbicide efficacy and critical weed kill rate as key factors," Agricultural Systems, Elsevier, vol. 56(3), pages 323-340, March.
    11. Pannell, David J., 1995. "Optimal Herbicide Strategies Given Yield and Quality Impacts of Weeds," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 63(02), pages 1-7, August.
    12. Jayasuriya, Rohan T. & Jones, Randall E., 2008. "A bioeconomic model for determining the optimal response to a new weed incursion in Australian cropping systems," 2008 Conference (52nd), February 5-8, 2008, Canberra, Australia 6015, Australian Agricultural and Resource Economics Society.
    13. Rohan Jayasuriya & Randall Jones & Remy Ven, 2011. "A bioeconomic model for determining the optimal response strategies for a new weed incursion," Journal of Bioeconomics, Springer, vol. 13(1), pages 45-72, April.
    14. Chalak, Morteza & Pannell, David J., 2012. "Optimising control of an agricultural weed in sheep-production pastures," Agricultural Systems, Elsevier, vol. 109(C), pages 1-8.
    15. Oriade, Caleb Adewale, 1995. "A bioeconomic analysis of site-specific management and delayed planting strategies for weed control," Faculty and Alumni Dissertations 307890, University of Minnesota, Department of Applied Economics.
    16. Jones, Randall E., 2005. "Sustainability and integrated weed management in Australian winter cropping systems: a bioeconomic analysis," 2005 Conference (49th), February 9-11, 2005, Coff's Harbour, Australia 137930, Australian Agricultural and Resource Economics Society.
    17. repec:ags:aare05:137931 is not listed on IDEAS
    18. Scott M. Swinton & Robert P. King, 1994. "The Value of Pest Information in a Dynamic Setting: The Case of Weed Control," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(1), pages 36-46.
    19. Timothy J. Lowe & Paul V. Preckel, 2004. "Decision Technologies for Agribusiness Problems: A Brief Review of Selected Literature and a Call for Research," Manufacturing & Service Operations Management, INFORMS, vol. 6(3), pages 201-208.
    20. Wong, Maisy, 2010. "The Relationship between Marginal Willingness-to-Pay in the Hedonic and Discrete Choice Models," MPRA Paper 51218, University Library of Munich, Germany.
    21. Schmidt, Carmel P & Pannell, David J, 1996. "Economic Issues in Management of Herbicide-Resistant Weeds," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 64(03), pages 1-8, December.

    More about this item

    Keywords

    Livestock Production/Industries;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:aare09:47620. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaresea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.