Data/hora: 02/06/2024 16:46:31

Provedor de dados: | Research in Agricultural & Applied Economics (AgEcon Searh)
País: | United States
Título: | A DISCRETE STOCHASTIC PROGRAMMING MODEL TO ESTIMATE OPTIMAL BURNING SCHEDULES ON RANGELAND
Autores: | Garoian,   Lee; Conner,   J. Richard; Scifres,   C.J.
Data: | 2003-03-05
Ano: | 1987
Palavras-chave: | Resource /Energy Economics and Policy.
Resumo: | McCartney rose is a range management problem on 500,000 acres of rangeland in Texas.  Roller chopping followed by burning is an effective method of improving infested rangeland.  However, uncertainty associated with implementing effective burns adversely affects economic feasibility of the treatment sequence.  Discrete stochastic programming is used to determine optimal burning schedules under uncertainty.  Optimal schedules and expected net returns vary with changes in the probability of a successful burn.
Tipo: | Journal Article
Idioma: | Inglês

Identificador:

7519

http://purl.umn.edu/30208

Editor: | AgEcon Search
Relação: | Southern Journal of Agricultural Economics&gt;Volume 19, Number 02, December 1987

Formato:

8

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