Demographic analysis of an Israeli Carpobrotus population.

Demographic analysis of an Israeli Carpobrotus population.
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DOI:
10.1371/journal.pone.0250879
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发表时间:
2021
期刊:
影响因子:
3.7
通讯作者:
Knight TM
Knight TM
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Bogdan A;Levin SC;Salguero-Gómez R;Knight TM

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Carpobrotus物种是世界各地沿海地区的有害入侵者,特别是在地中海栖息地。人口模型非常适合于识别和理解种群过程和物种生命周期中的阶段,这些阶段可以最有效地进行管理。然而,这些模型的参数化受到了限制,因为很难进入其种群通常被发现的悬崖边位置,以及准确测量个体的生长和传播,这些个体形成了大而密集的垫子。本研究使用小型无人驾驶飞行器(无人机)收集人口统计数据,并对以色列Carpobrotus种群的积分投影模型进行参数化。我们用已知大小的地面目标验证了我们的数据集。通过对渐进增长率以及种群敏感性和弹性的分析,我们证明研究地点的种群在人口统计学上是稳定的,并且减少最大个体的生存和增长将对降低总体种群增长率产生最大的影响。我们的研究结果提供了第一次评估的人口Carpobrotus,一种保护和经济关注,并提供了第一个结构化的人口模型的Aizoaceae家庭的代表,从而有助于我们的全球知识的植物种群动态。此外,我们还展示了使用无人机在未充分研究的栖息地(如沿海生态系统)收集人口数据的优势。
Carpobrotus species are harmful invaders to coastal areas throughout the world, particularly in Mediterranean habitats. Demographic models are ideally suited to identify and understand population processes and stages in the life cycle of the species that could be most effectively targeted with management. However, parameterizing these models has been limited by the difficulty in accessing the cliff-side locations where its populations are typically found, as well as accurately measuring the growth and spread of individuals, which form large, dense mats. This study uses small unmanned aerial vehicles (drones) to collect demographic data and parameterize an Integral Projection Model of an Israeli Carpobrotus population. We validated our data set with ground targets of known size. Through the analysis of asymptotic growth rates and population sensitivities and elasticities, we demonstrate that the population at the study site is demographically stable, and that reducing the survival and growth of the largest individuals would have the greatest effect on reducing overall population growth rate. Our results provide a first evaluation of the demography of Carpobrotus, a species of conservation and economic concern, and provide the first structured population model of a representative of the Aizoaceae family, thus contributing to our global knowledge on plant population dynamics. In addition, we demonstrate the advantages of using drones for collecting demographic data in understudied habitats such as coastal ecosystems.
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