Demographic analysis of Israeli Carpobrotus populations: management strategies and future directions
Demographic analysis of Israeli Carpobrotus populations: management strategies and future directions
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DOI：
10.1101/2020.12.08.415174
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发表时间：
2020-12
期刊：
影响因子：
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通讯作者：
A. Bogdan;Sam C. Levin;R. Salguero‐Gómez;T. Knight
中科院分区：
文献类型：
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作者：
A. Bogdan;Sam C. Levin;R. Salguero‐Gómez;T. Knight
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。人口统计模型非常适合识别和了解物种生命周期中的种群过程和阶段，这些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，因为难以进入通常发现其种群的悬崖边位置，也难以准确测量形成大而密的垫子的个体的生长和传播。本研究使用小型无人机（UAV、无人机）收集人口数据并参数化以色列 Carpobrotus 种群的整体投影模型。我们使用已知大小的地面目标验证了我们的数据集。通过对渐近增长率以及人口敏感性和弹性的分析，我们证明研究地点的人口在人口统计上是稳定的，并且减少最大个体的生存和增长将对降低总体人口增长率产生最大的影响。我们的研究结果对Carpobrotus（一种受保护和经济关注的物种）的人口学进行了首次评估，并提供了相思科代表的第一阶段种群模型，从而有助于我们对植物种群动态的全球了解。此外，我们还展示了使用无人机在沿海生态系统等未充分研究的栖息地收集人口统计数据的优势。
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 individuals, which form large, dense mats. This study uses small unmanned aerial vehicles (UAVs, 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 stage-based 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.