Suppr超能文献

气候驱动生态系统中爆发性害虫种群的最优控制

Optimal control of irrupting pest populations in a climate-driven ecosystem.

作者信息

Holland E Penelope, Binny Rachelle N, James Alex

机构信息

Department of Biology, University of York, York, United Kingdom.

Manaaki Whenua Landcare Research, Lincoln, New Zealand.

出版信息

PeerJ. 2018 Dec 20;6:e6146. doi: 10.7717/peerj.6146. eCollection 2018.

Abstract

Irruptions of small consumer populations, driven by pulsed resources, can lead to adverse effects including the decline of indigenous species or increased disease spread. Broad-scale pest management to combat such effects benefits from forecasting of irruptions and an assessment of the optimal control conditions for minimising consumer abundance. We use a climate-based consumer-resource model to predict irruptions of a pest species () population in response to masting (episodic synchronous seed production) and extend this model to account for broad-scale pest control of mice using toxic bait. The extended model is used to forecast the magnitude and frequency of pest irruptions under low, moderate and high control levels, and for different timings of control operations. In particular, we assess the optimal control timing required to minimise the frequency with which pests reach 'plague' levels, whilst avoiding excessive toxin use. Model predictions suggest the optimal timing for mouse control in beech forest, with respect to minimising plague time, is mid-September. Of the control regimes considered, a seedfall driven biannual-biennial regime gave the greatest reduction in plague time and plague years for low and moderate control levels. Although inspired by a model validated using house mouse populations in New Zealand forests, our modelling approach is easily adapted for application to other climate-driven systems where broad-scale control is conducted on irrupting pest populations.

摘要

由脉冲式资源驱动的小型消费者种群爆发,可能会导致包括本土物种数量下降或疾病传播加剧在内的不利影响。应对此类影响的大规模害虫管理受益于对爆发情况的预测以及对使消费者数量降至最低的最佳控制条件的评估。我们使用一个基于气候的消费者-资源模型来预测一种害虫物种()种群对结实(间歇性同步种子生产)的反应,并将该模型扩展到考虑使用毒饵对小鼠进行大规模害虫控制的情况。扩展后的模型用于预测在低、中、高控制水平下以及不同控制操作时间的害虫爆发的规模和频率。特别是,我们评估了将害虫达到“鼠疫”水平的频率降至最低所需的最佳控制时间,同时避免过度使用毒素。模型预测表明,就将鼠疫时间降至最低而言,山毛榉林中控制小鼠的最佳时间是9月中旬。在所考虑的控制方案中,对于低和中等控制水平,由种子降落驱动的两年-两年方案在鼠疫时间和鼠疫年份方面的减少幅度最大。尽管我们的建模方法受到在新西兰森林中使用家鼠种群验证的模型的启发,但它很容易适用于其他针对爆发害虫种群进行大规模控制的气候驱动系统。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/560e/6304269/04e6f7218cdc/peerj-06-6146-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验