Temporal Beta Diversity of Bird Assemblages in Agricultural Landscapes: Land Cover Change vs. Stochastic Processes

Baselga, Andrés; Bonthoux, Sébastien; Balent, Gérard

doi:10.1371/journal.pone.0127913

Cited by 71 publications

(73 citation statements)

References 44 publications

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“…Additionally, in other situations, the environmental variables are not important to bird communities structure. For instance, Baselga et al (2015) examined the beta diversity of bird communities in agricultural landscapes of France. They found that the change in land cover had little impact on the communities.…”

Section: Discussionmentioning

confidence: 99%

Bird diversity along a gradient of fragmented habitats of the Cerrado

Jesus

Pedro

Bispo

2017

An. Acad. Bras. Ciênc.

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Understanding the factors that affect biodiversity is of central interest to ecology, and essential to species conservation and ecosystems management. We sampled bird communities in 17 forest fragments in the Cerrado biome, the Central-West region of Brazil. We aimed to know the communities structure pattern and the influence of geographical distance and environmental variables on them, along a gradient of fragmented habitats at both local and landscape scales. Eight structural variables of the fragments served as an environmental distance measurement at the local scale while five metrics served as an environmental distance measurement at the landscape scale. Species presence-absence data were used to calculate the dissimilarity index. Beta diversity was calculated using three indices (β sim , β nes and β sor ), representing the spatial species turnover, nestedness and total beta diversity, respectively. Spatial species turnover was the predominant pattern in the structure of the communities. Variations in beta diversity were explained only by the environmental variables of the landscape with spatial configuration being more important than the composition. This fact indicates that, in Cerrado of Goiás avian communities structure, deterministic ecological processes associated to differences in species responses to landscape fragmentation are more important than stochastic processes driven by species dispersal.

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Section: Discussionmentioning

confidence: 99%

Bird diversity along a gradient of fragmented habitats of the Cerrado

Jesus

Pedro

Bispo

2017

An. Acad. Bras. Ciênc.

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“…Envisioning a gradient of environmental disturbance, a high degree of turnover between communities would indicate the presence of species unique to disturbed and undisturbed sites. In the absence of stochastic processes generating turnover through random extinctions and/or colonisations (Stegen et al 2013, Baselga et al 2015, these species should be specialists adapted to specific parts of the gradient. Conversely, strong NRD would reflect the progressive erosion of species richness with increasing disturbance due to environmental filtering, and the occupation of most or all of the gradient by a number of disturbancetolerant generalists (Gutiérrez-Cánovas et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Drought intensification drives turnover of structure and function in stream invertebrate communities

et al. 2018

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Climatic extremes are becoming more frequent and intense across much of the globe, potentially transforming the biodiversity and functioning of affected ecosystems. In freshwaters, hydrological extremes such as drought can regulate beta diversity, acting as powerful environmental filters to dictate the complement of species and functional traits found at local and landscape scales. New methods that enable beta diversity and its functional equivalent to be partitioned into turnover (replacement of species/functions) and nestedness‐resultant (gain/loss of species/functions) components may offer novel insights into the parallel impacts of drought on ecosystem structure and function. Using a series of artificial channels (mesocosms) designed to mimic perennial headwater streams, we experimentally manipulated streamflows to simulate a gradient of drought intensity. We then modelled taxonomic and functional turnover and nestedness of macroinvertebrate communities along this gradient, validating direct gradient approaches (bootstrapping, Mantel tests) against null models of nestedness. Drought intensification produced significant environmental distance decay trends (i.e. communities became increasingly taxonomically and functionally dissimilar the more differentially disturbed by drought they were). Taxonomic distance decay was primarily driven by turnover, while the functional trend reflected a combination of richness differences and turnover at different points along the gradient. Taxonomic and functional distance decay slopes were not significantly different, implying that communities were functionally vulnerable to drying. The increased frequency and intensity of droughts predicted under most climate change scenarios could thus profoundly modify not only the structure of running water invertebrate communities, but also the ecosystem functions they underpin.

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“…number of extinction events). However, another, and arguably more statistically robust, way of analysing temporal changes in species assemblages uses dissimilarity indices, which allow researchers to partition out the effect of richness differences between samples (Baselga 2010, Baselga et al 2015. One such approach is to use the framework of temporal beta-diversity.…”

Section: Introductionmentioning

confidence: 99%

“…to assess how composition changes across a set of sites or along an ecological gradient (Anderson et al 2011). Temporal beta-diversity is a similar concept, where betadiversity is calculated for the same location at different times, and in conjunction with a suitable null model the analysis of temporal beta-diversity can be used to determine whether changes in assemblages across time are due to deterministic processes or stochastic colonisation and extinction events (Baselga et al 2015). Temporal beta-diversity sensu stricto has been much less studied relative to spatial beta-diversity (but see Baselga et al 2015, Tonkin et al 2017.…”

Section: Introductionmentioning

confidence: 99%

“…Temporal beta-diversity is a similar concept, where betadiversity is calculated for the same location at different times, and in conjunction with a suitable null model the analysis of temporal beta-diversity can be used to determine whether changes in assemblages across time are due to deterministic processes or stochastic colonisation and extinction events (Baselga et al 2015). Temporal beta-diversity sensu stricto has been much less studied relative to spatial beta-diversity (but see Baselga et al 2015, Tonkin et al 2017. Beta-diversity can be calculated using a variety of different approaches (Anderson et al 2011) and in this study we focus on the use of dissimilarity indices to calculate beta-diversity, in particular Sørensen dissimilarity.…”

Section: Introductionmentioning

confidence: 99%

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Differential temporal beta‐diversity patterns of native and non‐native arthropod species in a fragmented native forest landscape

et al. 2018

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An important factor that hinders the management of non‐native species is a general lack of information regarding the biogeography of non‐natives, and, in particular, their rates of turnover. Here, we address this research gap by analysing differences in temporal beta‐diversity (using both pairwise and multiple‐time dissimilarity metrics) between native and non‐native species, using a novel time‐series dataset of arthropods sampled in native forest fragments in the Azores. We use a null model approach to determine whether temporal beta‐diversity was due to deterministic processes or stochastic colonisation and extinction events, and linear modelling selection to assess the factors driving variation in temporal beta‐diversity between plots. In accordance with our predictions, we found that the temporal beta‐diversity was much greater for non‐native species than for native species, and the null model analyses indicated that the turnover of non‐native species was due to stochastic events. No predictor variables were found to explain the turnover of native or non‐native species. We attribute the greater turnover of non‐native species to source‐sink processes and the close proximity of anthropogenic habitats to the fragmented native forest plots sampled in our study. Thus, our findings point to ways in which the study of turnover can be adapted for future applications in habitat island systems. The implications of this for biodiversity conservation and management are significant. The high rate of stochastic turnover of non‐native species indicates that attempts to simply reduce the populations of non‐native species in situ within native habitats may not be successful. A more efficient management strategy would be to interrupt source‐sink dynamics by improving the harsh boundaries between native and adjacent anthropogenic habitats.

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Temporal Beta Diversity of Bird Assemblages in Agricultural Landscapes: Land Cover Change vs. Stochastic Processes

Cited by 71 publications

References 44 publications

Bird diversity along a gradient of fragmented habitats of the Cerrado

Bird diversity along a gradient of fragmented habitats of the Cerrado

Drought intensification drives turnover of structure and function in stream invertebrate communities

Differential temporal beta‐diversity patterns of native and non‐native arthropod species in a fragmented native forest landscape

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