2014
DOI: 10.1111/1365-2656.12299
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Season‐specific and guild‐specific effects of anthropogenic landscape modification on metacommunity structure of tropical bats

Abstract: Summary1. Fragmentation per se due to human land conversion is a landscape-scale phenomenon. Accordingly, assessment of distributional patterns across a suite of potentially connected communities (i.e. metacommunity structure) is an appropriate approach for understanding the effects of landscape modification and complements the plethora of fragmentation studies that have focused on local community structure. To date, metacommunity structure within human-modified landscapes has been assessed with regard to nest… Show more

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Cited by 61 publications
(61 citation statements)
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“…; Cisneros et al. ). Hence, we can expect that different metacommunity structures might emerge in our study system when sampled in different times of the year or in different years.…”
Section: Discussionmentioning
confidence: 97%
“…; Cisneros et al. ). Hence, we can expect that different metacommunity structures might emerge in our study system when sampled in different times of the year or in different years.…”
Section: Discussionmentioning
confidence: 97%
“…In this sense, our selected metrics of fragmentation, habitat loss and edge are more directly related to our hypotheses and to the literature on landscape ecology (see Boscolo & Paul Metzger ; Carrara et al . ; Cisneros, Fagan & Willig ,b; Rocha‐Santos et al . ).…”
Section: Methodsmentioning
confidence: 99%
“…We analysed the effects of landscape configuration and composition on each phylogenetic metric using generalized linear models (GLMs), with Gaussian error and an identity link (normality was tested and confirmed by the Shapiro–Wilk test), as implemented in the ‘glm’ function from stats package. Thus, our GLM related each metric of phylogenetic diversity (PD, MPD and MNTD) and phylogenetic structure (sesPD, sesMPD and sesMNTD), as response variables, with all metrics of landscape configuration and composition (Cisneros, Fagan & Willig ,b), as explanatory (predictor) variables. However, multicollinearity between predictor variables was confirmed by Spearman correlation analysis (see Table S4), and any pair of explanatory variables that have a high correlation ( r ≥ 0.6) were included in separate models and subjected to selection of the best model (Magrach, Santamaría & Larrigana ; The Akaike information criterion of second order (AICc indicated for small sample sizes), with ∆AICc ≤ 2, was used to select our best models (Burnham, Anderson & Huyvaert ), although we also consider all selected models.…”
Section: Statistical Analysesmentioning
confidence: 99%
“…However, these differences should be commonplace as tropical bats must also balance their sex‐specific energy requirements with the spatiotemporal variability of resources and the compositional and configurational heterogeneity of the landscape (Cisneros et al . , Ferreira et al . ).…”
mentioning
confidence: 99%
“…Their responses have been found to be scale‐sensitive, highly species‐ and ensemble‐specific and to vary according to seasonal variation in resource abundance (Cisneros et al . , Arroyo‐Rodríguez et al . , Chambers et al .…”
mentioning
confidence: 99%