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北极植物-传粉者网络的时间发展和崩溃。

Temporal development and collapse of an Arctic plant-pollinator network.

机构信息

Bioinformatics Research Centre, Aarhus University, C, F, Mollers Alle 8, Building 1110, DK-8000 Aarhus C, Denmark.

出版信息

BMC Ecol. 2009 Dec 4;9:24. doi: 10.1186/1472-6785-9-24.

Abstract

BACKGROUND

The temporal dynamics and formation of plant-pollinator networks are difficult to study as it requires detailed observations of how the networks change over time. Understanding the temporal dynamics might provide insight into sustainability and robustness of the networks and how they react to environmental changes, such as global warming. Here we study an Arctic plant-pollinator network in two consecutive years using a simple mathematical model and describe the temporal dynamics (daily assembly and disassembly of links) by random mechanisms.

RESULTS

We develop a mathematical model with parameters governed by the probabilities for entering, leaving and making connections in the network and demonstrate that A. The dynamics is described by very similar parameters in both years despite a strong turnover in the composition of the pollinator community and different climate conditions, B. There is a drastic change in the temporal behaviour a few days before the end of the season in both years. This change leads to the collapse of the network and does not correlate with weather parameters, C. We estimate that the number of available pollinator species is about 80 species of which 75-80% are observed in each year, D. The network does not reach an equilibrium state (as defined by our model) before the collapse set in and the season is over.

CONCLUSION

We have shown that the temporal dynamics of an Arctic plant-pollinator network can be described by a simple mathematical model and that the model allows us to draw biologically interesting conclusions. Our model makes it possible to investigate how the network topology changes with changes in parameter values and might provide means to study the effect of climate on plant-pollinator networks.

摘要

背景

植物-传粉者网络的时间动态和形成很难研究,因为它需要详细观察网络随时间的变化。了解时间动态可以深入了解网络的可持续性和鲁棒性,以及它们如何对环境变化(如全球变暖)做出反应。在这里,我们使用简单的数学模型连续两年研究了北极地区的植物-传粉者网络,并通过随机机制描述了时间动态(每天链接的组装和拆卸)。

结果

我们开发了一个数学模型,其参数由网络中进入、离开和建立连接的概率控制,并证明:A. 尽管传粉者群落的组成发生了强烈变化,且气候条件不同,但两年的动态由非常相似的参数描述;B. 两年中,在季节结束前几天,网络的时间行为发生了急剧变化。这种变化导致网络崩溃,与天气参数无关;C. 我们估计,可用传粉者物种的数量约为 80 种,其中每年观察到的有 75-80%;D. 在崩溃发生和季节结束之前,网络没有达到我们模型定义的平衡状态。

结论

我们表明,北极地区植物-传粉者网络的时间动态可以用一个简单的数学模型来描述,并且该模型使我们能够得出有趣的生物学结论。我们的模型使研究网络拓扑结构随参数值变化的情况成为可能,并可能提供研究气候对植物-传粉者网络影响的手段。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e551/2800837/28d473f20a55/1472-6785-9-24-1.jpg

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