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植物-食果动物网络结构的时间变化受鸟类迁徙和果实可获得性的影响。

Temporal changes in the structure of a plant-frugivore network are influenced by bird migration and fruit availability.

作者信息

Ramos-Robles Michelle, Andresen Ellen, Díaz-Castelazo Cecilia

机构信息

Red de Interacciones Multitróficas, Instituto de Ecología, A. C. Xalapa , Veracruz , México.

Instituto de Investigaciones en Ecosistemas y Sustentabilidad, Universidad Nacional Autónoma de México , Morelia , Michoacán , México.

出版信息

PeerJ. 2016 Jun 8;4:e2048. doi: 10.7717/peerj.2048. eCollection 2016.

DOI:10.7717/peerj.2048
PMID:27330852
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4906665/
Abstract

Background. Ecological communities are dynamic collections whose composition and structure change over time, making up complex interspecific interaction networks. Mutualistic plant-animal networks can be approached through complex network analysis; these networks are characterized by a nested structure consisting of a core of generalist species, which endows the network with stability and robustness against disturbance. Those mutualistic network structures can vary as a consequence of seasonal fluctuations and food availability, as well as the arrival of new species into the system that might disorder the mutualistic network structure (e.g., a decrease in nested pattern). However, there is no assessment on how the arrival of migratory species into seasonal tropical systems can modify such patterns. Emergent and fine structural temporal patterns are adressed here for the first time for plant-frugivorous bird networks in a highly seasonal tropical environment. Methods. In a plant-frugivorous bird community, we analyzed the temporal turnover of bird species comprising the network core and periphery of ten temporal interaction networks resulting from different bird migration periods. Additionally, we evaluated how fruit abundance and richness, as well as the arrival of migratory birds into the system, explained the temporal changes in network parameters such as network size, connectance, nestedness, specialization, interaction strength asymmetry and niche overlap. The analysis included data from 10 quantitative plant-frugivorous bird networks registered from November 2013 to November 2014. Results. We registered a total of 319 interactions between 42 plant species and 44 frugivorous bird species; only ten bird species were part of the network core. We witnessed a noteworthy turnover of the species comprising the network periphery during migration periods, as opposed to the network core, which did not show significant temporal changes in species composition. Our results revealed that migration and fruit richness explain the temporal variations in network size, connectance, nestedness and interaction strength asymmetry. On the other hand, fruit abundance only explained connectance and nestedness. Discussion. By means of a fine-resolution temporal analysis, we evidenced for the first time how temporal changes in the interaction network structure respond to the arrival of migratory species into the system and to fruit availability. Additionally, few migratory bird species are important links for structuring networks, while most of them were peripheral species. We showed the relevance of studying bird-plant interactions at fine temporal scales, considering changing scenarios of species composition with a quantitative network approach.

摘要

背景。生态群落是动态集合,其组成和结构随时间变化,构成复杂的种间相互作用网络。互利共生的植物 - 动物网络可通过复杂网络分析来研究;这些网络的特征是具有由广布种核心组成的嵌套结构,这赋予网络稳定性和抗干扰能力。由于季节波动、食物可利用性以及新物种进入系统可能扰乱互利共生网络结构(例如嵌套模式减少),这些互利共生网络结构会有所不同。然而,对于迁徙物种进入季节性热带系统如何改变这种模式尚无评估。本文首次针对高度季节性热带环境中的植物 - 食果鸟类网络研究了涌现的和精细的结构时间模式。

方法。在一个植物 - 食果鸟类群落中,我们分析了由不同鸟类迁徙时期形成的十个时间相互作用网络的核心和边缘所包含的鸟类物种的时间更替。此外,我们评估了果实丰度和丰富度以及候鸟进入系统的情况如何解释网络参数(如网络大小、连通性、嵌套性、专业化程度、相互作用强度不对称性和生态位重叠)的时间变化。该分析包括2013年11月至2014年11月记录的10个定量植物 - 食果鸟类网络的数据。

结果。我们记录了42种植物和44种食果鸟类之间总共319次相互作用;只有10种鸟类是网络核心的一部分。与网络核心不同,我们观察到在迁徙期间网络边缘的物种有显著更替,网络核心的物种组成没有明显的时间变化。我们的结果表明,迁徙和果实丰富度解释了网络大小、连通性、嵌套性和相互作用强度不对称性的时间变化。另一方面,果实丰度仅解释了连通性和嵌套性。

讨论。通过精细分辨率的时间分析,我们首次证明了相互作用网络结构的时间变化如何响应迁徙物种进入系统以及果实可利用性。此外,少数候鸟物种是构建网络的重要环节,而它们中的大多数是边缘物种。我们展示了采用定量网络方法在精细时间尺度上研究鸟类 - 植物相互作用的相关性,同时考虑物种组成的变化情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c410/4906665/02d1719d2b4c/peerj-04-2048-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c410/4906665/16aabf8db431/peerj-04-2048-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c410/4906665/28d7d49dfcd4/peerj-04-2048-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c410/4906665/02d1719d2b4c/peerj-04-2048-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c410/4906665/16aabf8db431/peerj-04-2048-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c410/4906665/28d7d49dfcd4/peerj-04-2048-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c410/4906665/02d1719d2b4c/peerj-04-2048-g003.jpg

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