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结合确定性和随机性人口统计学阐明入侵性皮蠹甲虫 Trogoderma granarium 的适合度成分。

Elucidating fitness components of the invasive dermestid beetle Trogoderma granarium combining deterministic and stochastic demography.

机构信息

Laboratory of Agricultural Zoology and Entomology, Department of Crop Science, Agricultural University of Athens, Athens, Greece.

Directorate of Plant Produce Protection, Greek Ministry of Rural Development and Food, Athens, Greece.

出版信息

PLoS One. 2019 Feb 14;14(2):e0212182. doi: 10.1371/journal.pone.0212182. eCollection 2019.

DOI:10.1371/journal.pone.0212182
PMID:30763344
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6375610/
Abstract

The invasive dermestid khapra beetle, Trogoderma granarium, is an important pest of stored products that is subject to strict phytosanitary measures. In this study, we conducted a demographic analysis of this species at 30, 35 and 40°C, combining deterministic and stochastic approaches. The net reproductive rate, the intrinsic rate of increase, the finite rate of increase and the doubling time did not differ significantly between 30 and 35°C, while at 40°C we detected negative values of the intrinsic rate of increase and the doubling time. The Briere model fit the data well with respect to the intrinsic rate of increase. Females of roughly 63, 42 and 21 days old reached their maximum reproductive potential at 30, 35 and 40°C, respectively. The stochastic models of this study allowed for checking model fit and the characterization of the most suitable distribution for each component of the process. We expect these results to have bearing on the management of T. granarium since they could be combined with models related to international trade and climatic change, alerting specialists towards early detection strategies against this species.

摘要

入侵性皮蠹 khapra 甲虫,Trogoderma granarium,是一种重要的仓储害虫,受到严格的植物检疫措施的限制。在这项研究中,我们在 30、35 和 40°C 下对该物种进行了人口统计学分析,结合了确定性和随机性方法。净生殖率、内禀增长率、有限增长率和倍增时间在 30°C 和 35°C 之间没有显著差异,而在 40°C 时,我们检测到内禀增长率和倍增时间的负值。Briere 模型很好地拟合了内禀增长率的数据。在 30、35 和 40°C 下,雌性分别约 63、42 和 21 天达到最大生殖潜力。本研究的随机模型允许检查模型拟合度,并对每个过程组件的最合适分布进行特征描述。我们希望这些结果对 T. granarium 的管理产生影响,因为它们可以与与国际贸易和气候变化相关的模型相结合,提醒专家采取早期检测策略来应对这种物种。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27a0/6375610/f841be47429e/pone.0212182.g007.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27a0/6375610/2a7c76da7c30/pone.0212182.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27a0/6375610/ef103c98d8c8/pone.0212182.g002.jpg
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