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首页> 外文期刊>Ecological Applications >Designing cost-efficient surveillance for early detection and control of multiple biological invaders
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Designing cost-efficient surveillance for early detection and control of multiple biological invaders

机译:设计具有成本效益的监视,以早期发现和控制多个生物入侵者

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摘要

Wood borers and bark beetles are among the most serious forest pests worldwide. Many such species have become successful invaders, often causing substantial, costly damages to forests. Here we design and evaluate the cost-efficiency of a trap-based surveillance program for early detection of wood borers and bark beetles at risk of establishing in New Zealand. Although costly, a surveillance program could lead to earlier detection of newly established forest pests, thereby increasing the likelihood of successful eradication and reducing control costs and damages from future invasions. We develop a mechanistic bioeconomic model that relates surveillance intensity (i.e., trap density) and invasion size to probabilities of detection and control. It captures the dynamics of invasive species establishment, spread, and damages to urban and plantation forests. We employ the model to design surveillance programs that provide the greatest net present benefits. Our findings suggest that implementing a surveillance trapping program for invasive wood borers and bark beetles would provide positive net benefits under all scenarios considered. The economically optimal trapping strategy calls for a very high investment in surveillance: about 10 000 traps in each year of the 30-year surveillance program, at a present value cost of US$54 million. This strategy provides a 39% reduction in costs compared with no surveillance, corresponding to an expected net present benefit of approximately US$300 million. Although surveillance may provide the greatest net benefits when implemented at relatively high levels, our findings also show that even low levels of surveillance are worthwhile: the economic benefits from surveillance more than offset the rising costs associated with increasing trapping density. Our results also show that the cost-efficiency of surveillance varies across target regions because of differences in pest introduction and damage accumulation rates across locales, with greater surveillance warranted in areas closer to at-risk, high-value resources and in areas that receive more imported goods that serve as an invasion pathway.
机译:木材蛀虫和树皮甲虫是世界上最严重的森林害虫之一。许多这样的物种已成为成功的入侵者,常常对森林造成重大而昂贵的破坏。在这里,我们设计并评估了基于陷阱的监视程序的成本效益,该监视程序用于早期发现有在新西兰建立风险的木wood和树皮甲虫。尽管费用很高,但一项监视计划可能导致较早发现新近形成的森林有害生物,从而增加成功根除的可能性,并减少控制成本和未来入侵造成的破坏。我们开发了一种机械化的生物经济模型,该模型将监视强度(即陷阱密度)和入侵大小与检测和控制的概率相关联。它捕获了入侵物种建立,传播以及对城市和人工林的破坏的动态。我们使用该模型来设计提供最大净现值收益的监视程序。我们的发现表明,在所有考虑到的情况下,实施针对侵入性木蛀虫和树皮甲虫的监视诱捕计划都将带来积极的净收益。经济上最佳的诱捕策略要求对监视进行大量投资:在为期30年的监视计划中,每年约有10,000个陷阱,现值成本为5,400万美元。与没有监控相比,该策略可将成本降低39%,相当于预期的净现值收益约为3亿美元。尽管以相对较高的水平实施监视可能会提供最大的净收益,但我们的研究结果还表明,即使是低水平的监视也值得:监视带来的经济收益可以抵消与捕集密度增加相关的成本上升。我们的结果还表明,由于不同地区有害生物的引入和危害累积率的差异,在目标区域进行监视的成本效益也有所不同,因此,在接近高风险,高价值资源的区域和获得更多资源的区域,应加强监视用作入侵途径的进口商品。

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