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Quail abundance, hunter effort, and harvest of two texas quail species: implications for hunting management

机译:鹌鹑的丰度,猎人的努力和两种德州鹌鹑物种的收获:对狩猎管理的意义

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摘要

Managing exploited species characterized by declining abundance, such as northern bobwhite Colinus virginianus and scaled quail Callipepla squamata, presents challenges for regulatory agencies and wildlife managers. Our objective was to determine the influence of quail abundance and quail hunter effort on annual bobwhite and scaled quail harvest in Texas, USA. We formulated competing models accounting for quail harvest at both statewide and regional scales using hunter survey and quail abundance data collected by the Texas Parks and Wildlife Department (1978–2012) and evaluated them using multiple linear regression and model selection (AICc). Statewide bobwhite and scaled quail harvest was best predicted by models that included quail abundance, quail hunter-days or total quail hunters, respectively ( R 2 = 0.969 and 0.915, respectively). Our most plausible models also predicted regional quail harvest reasonably well ( R 2 ≥ 0.67), but in some regions diverged from statewide models, with hunter effort alone best explaining quail harvest. Despite our models' high predictive ability, current hunting regulations do not reflect variability in factors driving harvest at the spatial scales we evaluated. Species characterized by limited dispersal ability, such as quails, are at risk of localized overharvest when hunting management cannot limit harvest at the same spatial scale where hunting occurs. For Texas quails, harvest management implemented by individual property managers, rather than statewide hunting regulations, is the most appropriate way to avoid localized overharvest because property managers can control harvest at the scale relevant to both quails and quail hunters.
机译:对以北洋白背Co和鳞鹌鹑Callipepla squamata为特征的丰度下降的已开发物种进行管理,对监管机构和野生动植物管理者提出了挑战。我们的目标是确定鹌鹑丰度和鹌鹑猎人的工作对美国得克萨斯州每年的水牛和成年鹌鹑收获的影响。我们使用得克萨斯州公园和野生动物部(1978-2012)收集的猎人调查和鹌鹑丰度数据,制定了竞争模型来说明州和地区范围内的鹌鹑收获,并使用多元线性回归和模型选择(AICc)对其进行了评估。用包括鹌鹑丰度,鹌鹑猎人天数或鹌鹑猎人总数的模型最好地预测全州的有壳类和定量鹌鹑收获(R 2 分别为0.969和0.915)。我们最合理的模型还预测区域鹌鹑的收成相当好(R 2 ≥0.67),但在某些地区与全州范围的模型有所不同,仅猎人的努力就能最好地解释鹌鹑的收获。尽管我们的模型具有很高的预测能力,但目前的狩猎规定并未反映出我们评估的空间尺度上驱动收获的因素的可变性。当狩猎管理无法在发生狩猎的相同空间尺度上限制收获时,鹌鹑等以散布能力有限为特征的物种就有局部过度收获的风险。对于德克萨斯州的鹌鹑,由个人财产经理实施收割管理,而不是在全州范围内实施捕捞法规,是避免局部过度捕捞的最合适方法,因为财产经理可以在与鹌鹑和鹌鹑猎人相关的规模上控制收割。

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