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Feral pig population structuring in the rangelands of eastern Australia: applications for designing adaptive management units

机译:澳大利亚东部牧场的野猪种群结构:设计适应性管理单位的应用

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Feral pigs (Sus scrofa) are an invasive species in Australia. Their negative impact on conservation values has been demonstrated, and they are controlled in many areas in the rangelands of Australia. However, they are usually controlled over small, often ad hoc management units (MUs), and previous research has revealed that these MUs can be inadequate. Understanding feral pig population structuring can aid in the design of appropriate MUs. This study documents an approach to improving MUs for feral pig control in the rangelands of Australia. Feral pigs from a 500,000 km2 region were genotyped with 13 polymorphic markers. Genetic analyses were used to identify population structure. Identified sub-populations were then related to geographical and environmental gradients with geographical information systems, regression analysis and with canonical correspondence analysis. Five sub-populations were identified. These were moderately differentiated, with relatively high-migration rates. Two sub-populations in drier, lower elevation areas overlapped, due to extensive migration, probably along the large, inland rivers and flood plains. Sub-populations in higher rainfall environments appeared less likely to migrate. Sub-population differentiation was also dependant on distance, indicating isolation by distance was present. A case study applying an adaptive MU to a previously controlled area is presented. Generally, however, MUs for feral pig control for natural resource protection and endemic disease eradication in the rangelands should take into account geographical size, but also geographic features, especially major rivers in low-rainfall areas.
机译:野猪(Sus scrofa)是澳大利亚的一种入侵物种。它们对保护价值的负面影响已得到证明,并且在澳大利亚牧场的许多地区得到了控制。但是,它们通常是由小型的通常为临时的管理单位(MU)控制的,以前的研究表明这些MU可能不够用。了解野猪种群结构可以帮助设计适当的动车组。这项研究记录了一种在澳大利亚牧场改善MUs来控制野猪的方法。用13个多态性标记对来自500,000 km2 地区的野猪进行基因分型。遗传分析被用来识别种群结构。然后,通过地理信息系统,回归分析和规范对应分析,将确定的亚群与地理和环境梯度相关联。确定了五个亚群。这些是中等分化的,迁移率较高。较干燥的低海拔地区的两个亚种群由于广泛的迁徙而重叠,可能沿着大的内陆河流和洪泛平原。高降雨环境中的亚种群迁移的可能性似乎较小。亚人群分化也取决于距离,表明存在距离隔离。提出了将自适应MU应用于先前控制区域的案例研究。但是,一般而言,在牧场中控制野生猪以保护自然资源和根除地方病的动车组应考虑地理大小,但也要考虑地理特征,特别是低雨量地区的主要河流。

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