Data/hora: 01/06/2024 19:07:13

Provedor de dados: | Research in Agricultural & Applied Economics (AgEcon Searh)
País: | United States
Título: | Optimising woody-weed control
Autores: | Zull,   Andrew F.; Cacho,   Oscar J.; Lawes,   Roger A.
Data: | 2009-02-19
Ano: | 2009
Palavras-chave: | Woody weeds; Weed control; Chinee apple; Rangelands; Grazing; Stochastic dynamic programming; Livestock Production/Industries.
Resumo: | 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.
Tipo: | Conference Paper or Presentation
Idioma: | Inglês
Identificador: | http://purl.umn.edu/47620
Relação: | Australian Agricultural and Resource Economics Society&gt;2009 Conference (53rd), February 11-13, 2009, Cairns, Australia
Formato: | 12