2017
DOI: 10.1371/journal.pone.0187142
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Spatial-temporal dynamics of neotropical velvet ant (Hymenoptera: Mutillidae) communities along a forest-savanna gradient

Abstract: Understanding how and why biological communities are organized over space and time is a major challenge and can aid biodiversity conservation in times of global changes. Herein, spatial-temporal variation in the structure of velvet ant communities was examined along a forest-savanna gradient in the Brazilian Cerrado to assess the roles of environmental filters and interspecific interactions upon community assembly. Velvet ants were sampled using 25 arrays of Y-shaped pitfall traps with drift fences for one yea… Show more

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Cited by 5 publications
(2 citation statements)
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References 111 publications
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“…In each sample plot, a data-logger (Onset HOBO U23 Pro v2 temperature/relative humidity data logger) was installed to record the air temperature and relative humidity every minute during the 15-day sampling period. Data were collected as previously described in Alvarenga et al (2017) . In general, 14 micro-climatic variables were derived of which seven are related to humidity, such as absolute maximum relative humidity (Hmaxa), absolute minimum relative humidity (Hmina), absolute standard deviation of relative humidity (Hsda), maximum relative humidity (Hmax), mean relative humidity (Hmean), minimum relative humidity (Hmin), standard deviation of relative humidity (Hsd).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…In each sample plot, a data-logger (Onset HOBO U23 Pro v2 temperature/relative humidity data logger) was installed to record the air temperature and relative humidity every minute during the 15-day sampling period. Data were collected as previously described in Alvarenga et al (2017) . In general, 14 micro-climatic variables were derived of which seven are related to humidity, such as absolute maximum relative humidity (Hmaxa), absolute minimum relative humidity (Hmina), absolute standard deviation of relative humidity (Hsda), maximum relative humidity (Hmax), mean relative humidity (Hmean), minimum relative humidity (Hmin), standard deviation of relative humidity (Hsd).…”
Section: Methodsmentioning
confidence: 99%
“…Remote sensing, for instance, provides global and easily accessible data that serve as a proxy for vegetation structure and composition at different spatial scales ( Tuomisto et al, 2003a ; Tuomisto et al, 2003b ; Tuomisto et al, 2019 ; Turner et al, 2003 ; Salovaara et al, 2005 ; Rocchini et al, 2018 ). On the other hand, microclimate variables that are remotely inferred using modeling ( Algar, Morley & Boyd, 2018 ) or directly measured on the ground with data loggers ( Alvarenga et al, 2017 ) can provide greater refinement and accuracy in quantifying microhabitat variations ( Milling et al, 2018 ). Together, functional traits, remote sensing, and microclimate variables can help to better characterize species-environment interactions and distribution of organisms ( Petchey & Gaston, 2002 ; Maximiano et al, 2020 ).…”
Section: Introductionmentioning
confidence: 99%