@article{Zull:47620,
      recid = {47620},
      author = {Zull, Andrew F. and Cacho, Oscar J. and Lawes, Roger A.},
      title = {Optimising woody-weed control},
      address = {2009},
      number = {420-2016-26667},
      pages = {12},
      year = {2009},
      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.},
      url = {http://ageconsearch.umn.edu/record/47620},
      doi = {https://doi.org/10.22004/ag.econ.47620},
}