Top-down network analysis characterizes hidden termite-termite interactions.
Top-down network analysis characterizes hidden termite-termite interactions.
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DOI：
10.1002/ece3.2313
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发表时间：
2016-09
影响因子：
2.6
通讯作者：
Shea, Katriona
中科院分区：
文献类型：
--
作者：
Campbell, Colin;Russo, Laura;Marins, Alessandra;DeSouza, Og;Schonrogge, Karsten;Mortensen, David;Tooker, John;Albert, Reka;Shea, Katriona
关键词：
生态网络的分析通常是自下而上的，网络是通过观察个体之间的相互作用建立的。涌现的网络属性已经被指示为反映社区中可能是互惠的交互的主导模式（例如，授粉）或拮抗（例如，寄主-寄生物群落）。然而，许多生态群落包含难以直接观察的物种相互作用。在这里，我们建议将细节丰富的参考社区的涌现特性与已知的交互模式进行比较，可以为我们理解细节稀疏的焦点社区提供信息。通过这种自上而下的方法，我们考虑了白蚁物种之间的共存模式，这些白蚁物种作为客人生活在由其他宿主白蚁物种建造的土丘中。白蚁社会对扰动极其敏感，这就排除了通过直接观察来确定它们相互作用的性质。我们进行了文献综述，构建两个网络白蚁丘同居在巴西热带草原和喀麦隆的热带森林。我们对比这些同居网络的属性，共有197个地理上不同的互惠植物传粉和拮抗主机寄生网络。我们分析网络属性的网络，进行主成分分析（PCA），并计算马氏距离的白蚁网络的云的互惠和拮抗网络，以评估在何种程度上的白蚁网络重叠的属性的参考网络。这两个白蚁网络重叠更密切的互惠植物传粉者社区比拮抗主机寄生虫社区，虽然巴西社会与互惠社区重叠更强。分析提出的假设，白蚁同居网络可能是整体互惠。更广泛地说，这项工作为以下论点提供了支持：可以通过与特征良好的社区进行比较来分析神秘社区。
The analysis of ecological networks is generally bottom‐up, where networks are established by observing interactions between individuals. Emergent network properties have been indicated to reflect the dominant mode of interactions in communities that might be mutualistic (e.g., pollination) or antagonistic (e.g., host–parasitoid communities). Many ecological communities, however, comprise species interactions that are difficult to observe directly. Here, we propose that a comparison of the emergent properties from detail‐rich reference communities with known modes of interaction can inform our understanding of detail‐sparse focal communities. With this top‐down approach, we consider patterns of coexistence between termite species that live as guests in mounds built by other host termite species as a case in point. Termite societies are extremely sensitive to perturbations, which precludes determining the nature of their interactions through direct observations. We perform a literature review to construct two networks representing termite mound cohabitation in a Brazilian savanna and in the tropical forest of Cameroon. We contrast the properties of these cohabitation networks with a total of 197 geographically diverse mutualistic plant–pollinator and antagonistic host–parasitoid networks. We analyze network properties for the networks, perform a principal components analysis (PCA), and compute the Mahalanobis distance of the termite networks to the cloud of mutualistic and antagonistic networks to assess the extent to which the termite networks overlap with the properties of the reference networks. Both termite networks overlap more closely with the mutualistic plant–pollinator communities than the antagonistic host–parasitoid communities, although the Brazilian community overlap with mutualistic communities is stronger. The analysis raises the hypothesis that termite–termite cohabitation networks may be overall mutualistic. More broadly, this work provides support for the argument that cryptic communities may be analyzed via comparison to well‐characterized communities.
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影响因子：
3.4
作者：
Almeida-Neto, Mario;Guimaraes, Paulo;Ulrich, Werner
通讯作者：
Ulrich, Werner
影响因子：
3.4
作者：
JONES, CG;LAWTON, JH;SHACHAK, M
通讯作者：
SHACHAK, M
影响因子：
64.8
作者：
Als, TD;Vila, R;Pierce, NE
通讯作者：
Pierce, NE
影响因子：
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作者：
HIGASHI, S;ITO, F
通讯作者：
ITO, F
影响因子：
1.3
作者：
Cristaldo, P. F.;Rosa, C. S.;DeSouza, O.
通讯作者：
DeSouza, O.