首页> 外文期刊>Biological Conservation >Using integrated population modelling to quantify the implications of multiple threatening processes for a rapidly declining population.
【24h】

Using integrated population modelling to quantify the implications of multiple threatening processes for a rapidly declining population.

机译:使用综合人口模型来量化多重威胁过程对快速下降的人口的影响。

获取原文
获取原文并翻译 | 示例
           

摘要

Many species of conservation concern are in decline due to threats from multiple sources. To quantify the conservation requirements of these species we need robust estimates of the impact of each threat on the rate of population decline. However, for the vast majority of species this information is lacking. Here we demonstrate the application of integrated population modelling as a means of deriving robust estimates of the impact of multiple threats for a rapidly declining koala (Phascolarctos cinereus) population in South-east Queensland, Australia. Integrated population modelling provides a basis for reducing uncertainty and bias by formally integrating information from multiple data sources into a single model. We quantify mortality rates due to threats from dog attacks, vehicle collisions and disease and the extent to which each of these mortality rates would need to be reduced, or how much habitat would need to be restored, to stop the population declining. We show that the integrated population modelling approach substantially reduces uncertainty. We also show that recovery actions that only address single threats would need to reduce those threats to implausibly low levels to recover the population. This indicates that strategies for simultaneously tackling multiple threats are necessary; a situation that is likely to be true for many of the world's threatened species. This study provides an important framework for quantifying the conservation requirements of species undergoing declines due to multiple threats.Digital Object Identifier http://dx.doi.org/10.1016/j.biocon.2010.12.027
机译:由于来自多种来源的威胁,许多保护方面的物种正在减少。为了量化这些物种的保护需求,我们需要对每种威胁对种群下降速度的影响进行可靠的估计。但是,对于绝大多数物种而言,缺少此信息。在这里,我们演示了综合人口建模的应用,该方法可得出对澳大利亚昆士兰东南部快速下降的考拉( Phascolarctos cinereus )人口多重威胁影响的可靠估计。集成的总体建模为通过将来自多个数据源的信息正式集成到单个模型中提供了减少不确定性和偏差的基础。我们对由于狗袭击,车辆碰撞和疾病造成的威胁而造成的死亡率进行量化,并确定每种死亡率需要降低的程度,或需要恢复多少栖息地以阻止人口下降。我们表明,综合人口建模方法可以大大减少不确定性。我们还表明,仅针对单一威胁的恢复行动需要将这些威胁降低到令人难以置信的低水平,以恢复人口。这表明同时应对多种威胁的策略是必要的;对于世界上许多受威胁物种而言,这种情况可能确实如此。这项研究提供了一个重要的框架,可用于量化由于多种威胁而遭受衰退的物种的保护需求。数字对象标识符http://dx.doi.org/10.1016/j.biocon.2010.12.027

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号