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Applying search theory to determine the feasibility of eradicating an invasive population in natural environments 31
Cacho, Oscar J.; Hester, Susan M.; Spring, Daniel.
The detectability of invasive organisms influences the feasibility of eradicating an infestation. Search theory offers a framework for defining and measuring detectability, taking account of searcher ability, biological factors and the search environment. In this paper, search theory concepts are incorporated into a population model, and the costs of search and control are calculated as functions of the amount of search effort (the decision variable). Simulations are performed on a set of weed scenarios in a natural environment, involving different combinations of plant longevity, seed longevity and plant fecundity. Results provide preliminary estimates of the cost and duration of eradication programs to assist in prioritising weeds for control. The...
Tipo: Article Palavras-chave: Bioeconomics; Invasive species; Operations research; Population dynamics; Weed control; Resource /Energy Economics and Policy.
Ano: 2007 URL: http://purl.umn.edu/118522
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Optimal management of a flammable forest providing timber and carbon sequestration benefits: an Australian case study 31
Spring, Daniel; Kennedy, John O.S.; Mac Nally, Ralph.
In deciding to keep or fell a forest stand given its age, the risk of loss of timber through wildfire is an important consideration. If trees also have value from sequestration of carbon, another effect of fire is the unplanned loss of stored carbon. Factors affecting the decision to keep or fell trees, and how much to spend on fire protection, are investigated using stochastic dynamic programming, using carbon sequestration in stands of mountain ash in Victoria as a case study. The effect of treating sawlogs as a permanent carbon sink after harvesting is explored.
Tipo: Article Palavras-chave: Forest management; Timber; Carbon; Dynamic; Programming; Resource /Energy Economics and Policy.
Ano: 2005 URL: http://purl.umn.edu/118504
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Weed Search and Control: Theory and Application 31
Cacho, Oscar J.; Spring, Daniel; Pheloung, Paul; Hester, Susan M..
The detectability of invasive organisms influences the costs and benefits of alternative control strategies, and the feasibility of eradicating an infestation. Search theory offers a mathematically rigorous framework for defining and measuring detectability, taking account of searcher ability, biological factors and the search environment. To demonstrate the application of search theory to invasive species control, invasive species detectability is incorporated into a population simulation model. The model is applied to a base set of parameter values that represent reasonable values for a hypothetical weed. The analysis shows the effects of detectability and search time on the duration of an eradication program. Furthermore, for a given level of...
Tipo: Working or Discussion Paper Palavras-chave: Search and control; Search theory; Weed control; Stage matrix; Impedance factors; Population dynamics; Stochastic model; Farm Management.
Ano: 2004 URL: http://purl.umn.edu/12919
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