首页> 美国卫生研究院文献>other >Climate-Based Models for Pulsed Resources Improve Predictability of Consumer Population Dynamics: Outbreaks of House Mice in Forest Ecosystems
【2h】

Climate-Based Models for Pulsed Resources Improve Predictability of Consumer Population Dynamics: Outbreaks of House Mice in Forest Ecosystems

机译:基于气候的脉冲资源模型提高了消费者种群动态的可预测性:森林生态系统中家鼠的爆发

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Accurate predictions of the timing and magnitude of consumer responses to episodic seeding events (masts) are important for understanding ecosystem dynamics and for managing outbreaks of invasive species generated by masts. While models relating consumer populations to resource fluctuations have been developed successfully for a range of natural and modified ecosystems, a critical gap that needs addressing is better prediction of resource pulses. A recent model used change in summer temperature from one year to the next (ΔT) for predicting masts for forest and grassland plants in New Zealand. We extend this climate-based method in the framework of a model for consumer–resource dynamics to predict invasive house mouse (Mus musculus) outbreaks in forest ecosystems. Compared with previous mast models based on absolute temperature, the ΔT method for predicting masts resulted in an improved model for mouse population dynamics. There was also a threshold effect of ΔT on the likelihood of an outbreak occurring. The improved climate-based method for predicting resource pulses and consumer responses provides a straightforward rule of thumb for determining, with one year’s advance warning, whether management intervention might be required in invaded ecosystems. The approach could be applied to consumer–resource systems worldwide where climatic variables are used to model the size and duration of resource pulses, and may have particular relevance for ecosystems where global change scenarios predict increased variability in climatic events.
机译:准确预测消费者对突发播种事件(桅杆)做出反应的时间和大小,对于理解生态系统动态和管理桅杆产生的入侵物种的爆发非常重要。虽然已经针对一系列自然和改良的生态系统成功开发了将消费者人口与资源波动相关的模型,但需要解决的关键缺口是更好地预测资源脉动。最近的模型使用夏季温度从一年到下一年的变化(ΔT)来预测新西兰森林和草地植物的桅杆。我们在消费者资源动态模型的框架内扩展了这种基于气候的方法,以预测森林生态系统中侵袭性家鼠(小家鼠)的暴发。与以前的基于绝对温度的桅杆模型相比,ΔT预测桅杆的方法导致了鼠标种群动态模型的改进。 ΔT对爆发发生的可能性也有阈值影响。经过改进的基于气候的方法来预测资源波动和消费者反应,为提前一年的预警确定入侵生态系统中是否需要管理干预提供了一条简单的经验法则。该方法可以应用到全球范围内的消费者-资源系统,在该系统中,气候变量被用来模拟资源脉冲的大小和持续时间,并且可能与生态系统特别相关,在生态系统中,全球变化情景预测了气候事件的可变性增加。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号