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当承载能力在畜群内和畜群间变化时,麋鹿种群动态。

Elk population dynamics when carrying capacities vary within and among herds.

机构信息

Department of Natural Resources and Environmental Studies, University of Northern British Columbia, 3333 University Way, Prince George, BC, V2N4Z9, Canada.

Oregon Cooperative Fish and Wildlife Research Unit, Department of Fisheries and Wildlife, Oregon State University, 104 Nash Hall, Corvallis, OR, 97331, USA.

出版信息

Sci Rep. 2020 Sep 29;10(1):15956. doi: 10.1038/s41598-020-72843-5.

Abstract

Population and land management relies on understanding population regulation and growth, which may be impacted by variation in population growth parameters within and among populations. We explored the interactions between variation in carrying capacity (K), intrinsic population growth rate (r), and strength of density dependence (β) within and among elk (Cervus elaphus) herds in a small part of the geographic range of the species. We also estimated stochastic fluctuations in abundance around K for each herd. We fit linear Ricker growth models using Bayesian statistics to seven time series of elk population survey data. Our results indicate that K and β varied among herds, and that r and β varied temporally within herds. We also found that herds with smaller K had less stochastic fluctuation in abundances around K, but higher temporal variation in β within herds. Population regulation and the rate of return to the equilibrium abundance is often understood in terms of β, but ecological populations are dynamic systems, and temporal variation in population growth parameters may also influence regulation. Population models which accommodate variation both within and among herds in population growth parameters are necessary, even in mild climates, to fully understand population dynamics and manage populations.

摘要

人口和土地管理依赖于对人口调控和增长的理解,而人口增长参数在种群内和种群间的变化可能会对此产生影响。我们探索了在物种的一个小地理范围内,鹿群(Cervus elaphus)的承载能力(K)、内在人口增长率(r)和密度依赖性(β)的变化在种群内和种群间的相互作用。我们还估计了每个鹿群在 K 附近的丰度的随机波动。我们使用贝叶斯统计方法拟合了七个鹿群的种群调查数据的线性 Ricker 增长模型。我们的结果表明,K 和β在鹿群之间存在差异,而 r 和β在鹿群内存在时间变化。我们还发现,K 较小的鹿群在 K 附近的丰度随机波动较小,但鹿群内的β的时间变化较高。种群调控和回归到平衡丰度的速度通常是根据β来理解的,但生态种群是动态系统,种群增长参数的时间变化也可能影响调控。即使在气候温和的情况下,为了充分了解种群动态和管理种群,也需要容纳种群增长参数在种群内和种群间变化的种群模型。

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