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Modeling ecological traps for the control of feral pigs

机译:模拟生态陷阱以控制野生猪

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摘要

Ecological traps are habitat sinks that are preferred by dispersing animals but have higher mortality or reduced fecundity compared to source habitats. Theory suggests that if mortality rates are sufficiently high, then ecological traps can result in extinction. An ecological trap may be created when pest animals are controlled in one area, but not in another area of equal habitat quality, and when there is density-dependent immigration from the high-density uncontrolled area to the low-density controlled area. We used a logistic population model to explore how varying the proportion of habitat controlled, control mortality rate, and strength of density-dependent immigration for feral pigs could affect the long-term population abundance and time to extinction. Increasing control mortality, the proportion of habitat controlled and the strength of density-dependent immigration decreased abundance both within and outside the area controlled. At higher levels of these parameters, extinction was achieved for feral pigs. We extended the analysis with a more complex stochastic, interactive model of feral pig dynamics in the Australian rangelands to examine how the same variables as the logistic model affected long-term abundance in the controlled and uncontrolled area and time to extinction. Compared to the logistic model of feral pig dynamics, the stochastic interactive model predicted lower abundances and extinction at lower control mortalities and proportions of habitat controlled. To improve the realism of the stochastic interactive model, we substituted fixed mortality rates with a density-dependent control mortality function, empirically derived from helicopter shooting exercises in Australia. Compared to the stochastic interactive model with fixed mortality rates, the model with the density-dependent control mortality function did not predict as substantial decline in abundance in controlled or uncontrolled areas or extinction for any combination of variables. These models demonstrate that pest eradication is theoretically possible without the pest being controlled throughout its range because of density-dependent immigration into the area controlled. The stronger the density-dependent immigration, the better the overall control in controlled and uncontrolled habitat combined. However, the stronger the density-dependent immigration, the poorer the control in the area controlled. For feral pigs, incorporating environmental stochasticity improves the prospects for eradication, but adding a realistic density-dependent control function eliminates these prospects.
机译:生态陷阱是栖息地汇水区,是分散动物的首选,但与原始栖息地相比死亡率更高或繁殖力降低。理论表明,如果死亡率足够高,那么生态陷阱可能导致物种灭绝。当害虫动物被控制在一个地区而不是另一个具有相同栖息地质量的地区时,以及从高密度非控制区到低密度控制区的密度依赖移民时,可能会形成生态陷阱。我们使用了逻辑种群模型来探索如何改变野生猪的栖息地控制比例,控制死亡率和密度依赖性移民的强度如何影响长期种群数量和灭绝时间。在控制区域内外,控制死亡率的增加,控制栖息地的比例以及依赖密度的移民的强度都降低了。在这些参数的较高水平下,野生猪已灭绝。我们使用澳大利亚牧场中更复杂的随机互动的野猪动态模型来扩展分析,以检验与逻辑模型相同的变量如何影响受控区域和非受控区域的长期丰度以及灭绝时间。与野生猪动力学的逻辑模型相比,随机交互模型预测在较低的控制死亡率和控制的栖息地比例下较低的丰度和灭绝。为了改善随机交互模型的真实性,我们将固定死亡率替换为依赖于密度的控制死亡率函数,该函数根据经验从澳大利亚的直升机射击练习中得出。与具有固定死亡率的随机交互式模型相比,具有依赖于密度的控制死亡率函数的模型无法预测受控区域或非受控区域中的丰度大幅下降或变量的任何组合都消失了。这些模型表明,由于密度依赖性地向受控区域的迁移,在理论上消除有害生物是可能的,而无需在整个有害生物范围内对其进行控制。依赖密度的移民越强大,对受控和不受控生境的总体控制就越好。但是,依赖密度的移民越强,所控制区域的控制就越差。对于野猪,结合环境随机性可以改善根除的前景,但是增加现实的依赖密度的控制功能可以消除这些前景。

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