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Network analyses can be used to examine multi-species interactions and have been applied to many ecological interactions such as food webs, antagonistic relationships such as plant- herbivory, and mutualistic relationships. A particular focus has been on plant-pollinator interactions given their importance in driving terrestrial ecosystem functions. These networks can be structured with various attributes, which have been measured with network indices to describe the interactions. The indices of interest for this study are connectance, diversity of interactions, generality, vulnerability, nestedness, and specialization. Natural perturbations, such as drought or climate change, have the potential to alter the structure of these networks. We compared network structure between 2017, a year with normal precipitation and 2018, a year with extreme drought conditions in East River Valley in western Colorado, USA. Phenological mismatch and the decrease in relative abundances as a result of drought were predicted to cause changes in network structure. We constructed quantitative networks were built at three sites by collecting floral visitation data through capturing of pollinators. We compared the indices from 2017 and 2018 and the network structures showed a significant difference in diversity of interactions, meanwhile showing visible differences in connectance, nestedness, and specialization. Fife 3
Knowledge graph centered on Comparing Plant-Pollinator Network Structure betwe with 47 nodes and 115 connections. Top connected: Gothic, Two-form Bumble Bee, Bumble Bees, Yellow-fronted Bumble Bee, Buff-tailed Bumble Bee.
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