Influences Of Sampling Effort On Detected Patterns And Structuring Processes Of A Neotropical Plant-hummingbird Network.

dc.creatorVizentin-Bugoni, Jeferson
dc.creatorMaruyama, Pietro K
dc.creatorDebastiani, Vanderlei J
dc.creatorDuarte, L da S
dc.creatorDalsgaard, Bo
dc.creatorSazima, Marlies
dc.date2016-Jan
dc.date2016-05-23T19:40:40Z
dc.date2016-05-23T19:40:40Z
dc.date.accessioned2018-03-29T01:28:12Z
dc.date.available2018-03-29T01:28:12Z
dc.identifierThe Journal Of Animal Ecology. v. 85, n. 1, p. 262-272, 2016-Jan.
dc.identifier1365-2656
dc.identifier10.1111/1365-2656.12459
dc.identifierhttp://www.ncbi.nlm.nih.gov/pubmed/26476103
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/235346
dc.identifier26476103
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1303589
dc.descriptionVirtually all empirical ecological interaction networks to some extent suffer from undersampling. However, how limitations imposed by sampling incompleteness affect our understanding of ecological networks is still poorly explored, which may hinder further advances in the field. Here, we use a plant-hummingbird network with unprecedented sampling effort (2716 h of focal observations) from the Atlantic Rainforest in Brazil, to investigate how sampling effort affects the description of network structure (i.e. widely used network metrics) and the relative importance of distinct processes (i.e. species abundances vs. traits) in determining the frequency of pairwise interactions. By dividing the network into time slices representing a gradient of sampling effort, we show that quantitative metrics, such as interaction evenness, specialization (H2 '), weighted nestedness (wNODF) and modularity (Q; QuanBiMo algorithm) were less biased by sampling incompleteness than binary metrics. Furthermore, the significance of some network metrics changed along the sampling effort gradient. Nevertheless, the higher importance of traits in structuring the network was apparent even with small sampling effort. Our results (i) warn against using very poorly sampled networks as this may bias our understanding of networks, both their patterns and structuring processes, (ii) encourage the use of quantitative metrics little influenced by sampling when performing spatio-temporal comparisons and (iii) indicate that in networks strongly constrained by species traits, such as plant-hummingbird networks, even small sampling is sufficient to detect their relative importance for the frequencies of interactions. Finally, we argue that similar effects of sampling are expected for other highly specialized subnetworks.
dc.description85
dc.description262-272
dc.languageeng
dc.relationThe Journal Of Animal Ecology
dc.relationJ Anim Ecol
dc.rightsembargo
dc.sourcePubMed
dc.subjectNodf
dc.subjectQuanbimo
dc.subjectConnectance
dc.subjectForbidden Links
dc.subjectModularity
dc.subjectNestedness
dc.subjectNetwork Metrics
dc.subjectNeutrality
dc.subjectPlant-pollinator Networks
dc.subjectSpecialization
dc.titleInfluences Of Sampling Effort On Detected Patterns And Structuring Processes Of A Neotropical Plant-hummingbird Network.
dc.typeArtículos de revistas


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