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Topological structure of plant-bee networks in four Mexican environments

机译:四个墨西哥环境中植物-蜜蜂网络的拓扑结构

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We analyzed the topological structure (e.g., links per species, connectance, core-periphery analyses, specialization, nestedness, modularity) of plant-bee interactions of four areas in Mexico. We used qualitative data (binary networks). Mexico exhibits a complex geography and community variation that can affect bee networks. Network architecture is variable within large spatial scales, thus our results should vary according to site characteristics (La Mancha and Totula in Veracruz, Carrillo Puerto in Quintana Roo, and the Tehuacan-Cuicatlan valley, in Puebla), type of vegetation, endemism, altitude, size of area sampled. Network topology varied among sites, and the presence of nested or modular patterns was analyzed for robustness to simulated species extinctions. The lowest species richness was recorded for the Quintana Roo site (15 plant, 25 bee species), and the highest for the Tehuacan-Cuicatlan valley site (88 plant, 231 bee species). There was a tendency to have more connected networks when species richness was low and networks with greater species richness had a higher number of interactions. The distribution of interactions differed between environments but not due to network size and all were significantly nested. The robustness to cumulative extinctions showed a different pattern at each site; the most robust network was at Carrillo Puerto, which also was the site with less species. Sites with more endemic species (e.g. Tehuacan) had more specialized interactions, and were more susceptible to extinction.
机译:我们分析了墨西哥四个地区植物与蜜蜂相互作用的拓扑结构(例如,每个物种的链接,连通性,核心外围分析,专业化,嵌套性,模块性)。我们使用了定性数据(二进制网络)。墨西哥展现出复杂的地理和社区差异,可能会影响蜜蜂网络。网络架构在较大的空间范围内是可变的,因此我们的结果应根据站点的特征(韦拉克鲁斯的拉曼恰和图图拉,金塔纳罗奥州的卡里略波多黎各和普埃布拉的特瓦坎-凯卡特兰河谷),植被类型,地方性,海拔高度而变化,采样区域的大小。网络拓扑因站点而异,并且分析了嵌套或模块化模式的存在以提高其对模拟物种灭绝的鲁棒性。金塔纳罗奥州的物种丰富度最低(15种植物,25种蜜蜂),而特瓦坎-库卡特兰山谷地带的物种丰富度最高(88种植物,231种蜜蜂)。当物种丰富度低而具有更大物种丰富度的网络具有更高数量的相互作用时,则存在具有更多连接网络的趋势。交互的分布在环境之间有所不同,但不是由于网络规模而定,并且所有嵌套都非常明显。累积灭绝的鲁棒性在每个站点都显示出不同的模式。最强大的网络是在卡里略港(Carrillo Puerto),那里也是物种较少的地方。具有更多地方特有物种的地点(例如特瓦坎人)具有更专业的相互作用,并且更容易灭绝。

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