Differences in environmental heterogeneity promote the nestedness of Chironomidae metacommunity in Neotropical floodplain lakes

Pinha, Gisele Daiane; Tramonte, Rafael Prandini; Bilia, Camila Gentilin; Takeda, Alice Michiyo

doi:10.1590/s2179-975x7617

Cited by 6 publications

(4 citation statements)

References 51 publications

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“…Two primary factors, environmental heterogeneity and connectivity, are considered as critical in shaping metacommunity structure [ 3 ]. While previous studies have posited that increased environmental heterogeneity leads to stronger environmental selection [ 54 , 55 ], our results do not entirely align with this observation. The decrease in pure environmental effects in these metacommunities throughout the hydroperiod did not align with a reduction in overall environmental heterogeneity.…”

Section: Discussioncontrasting

confidence: 99%

Spatial versus spatio-temporal approaches for studying metacommunities: a multi-taxon analysis in Mediterranean and tropical temporary ponds

Gálvez,

Peres-Neto,

Castillo-Escrivà

et al. 2024

Proc. R. Soc. B.

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Prior research on metacommunities has largely focused on snapshot surveys, often overlooking temporal dynamics. In this study, our aim was to compare the insights obtained from metacommunity analyses based on a spatial approach repeated over time, with a spatio-temporal approach that consolidates all data into a single model. We empirically assessed the influence of temporal variation in the environment and spatial connectivity on the structure of metacommunities in tropical and Mediterranean temporary ponds. Employing a standardized methodology across both regions, we surveyed multiple freshwater taxa in three time periods within the same hydrological year from multiple temporary ponds in each region. To evaluate how environmental, spatial and temporal influences vary between the two approaches, we used nonlinear variation partitioning analyses based on generalized additive models. Overall, this study underscores the importance of adopting spatio-temporal analytics to better understand the processes shaping metacommunities. While the spatial approach suggested that environmental factors had a greater influence, our spatio-temporal analysis revealed that spatial connectivity was the primary driver influencing metacommunity structure in both regions. Temporal effects were equally important as environmental effects, suggesting a significant role of ecological succession in metacommunity structure.

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Section: Discussioncontrasting

confidence: 99%

Spatial versus spatio-temporal approaches for studying metacommunities: a multi-taxon analysis in Mediterranean and tropical temporary ponds

Gálvez,

Peres-Neto,

Castillo-Escrivà

et al. 2024

Proc. R. Soc. B.

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“…Environmental heterogeneity has long since been described as a biodiversity predictor (Yang et al 2015;Bergholz et al 2017;Pinha et al 2017). Heterogeneous sites promote species sorting, resulting in beta diversity among local communities of a metacommunity (Pinha et al 2017;García-Girón et al 2019). This was already demonstrated in the UPRF for several biological groups, ranging from microscopic algae to fish (Padial et al 2012).…”

Section: Discussionmentioning

confidence: 85%

“…Contrary to the observed taxonomic composition, there is poor functional composition differentiation among the ecoregions that are clearly heterogeneous considering multiple ecological features. Environmental heterogeneity has long since been described as a biodiversity predictor (Yang et al 2015;Bergholz et al 2017;Pinha et al 2017). Heterogeneous sites promote species sorting, resulting in beta diversity among local communities of a metacommunity (Pinha et al 2017;García-Girón et al 2019).…”

Section: Discussionmentioning

confidence: 99%

Macrophyte functional composition is stable across a strong environmental gradient of a Neotropical floodplain

Pereto

Padial

2021

Acta Bot. Bras.

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Ecological communities are compared by the similarity or distinctness of their species. Taking into account community composition at a determined site, one could expect a similar reasoning to explain differences in both taxonomic and functional composition due to environmental gradients. We aim to evaluate spatial variation in functional composition of aquatic macrophyte assemblages in a Neotropical floodplain. The studied floodplain is characterized by encompassing different ecoregions considering both differences in environmental features and macrophyte taxonomic composition. Therefore, we hypothesized that macrophyte functional composition would differ among ecoregions but instead found limited differences in functional composition. There was only a little evidence that some life forms are more or less observed in certain ecoregions. Thus, the considerable environmental heterogeneity found at the ecoregion scale is reflected only in taxonomic, and not in functional composition. This result can be explained by different species having high functional redundancy: different functional traits could be recorded in all ecoregions. Therefore, we suggest that the functioning of the entire ecosystem is probably insured by species functional redundancy in this Neotropical floodplain. Nonetheless, we cannot rule out the fact that trait choice could affect interpretations, and so trait selection should be better explored, particularly for aquatic macrophytes.

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“…We used the range of PC1 scores as a measure of EH. A similar method for measuring EH was done by Pinha, Tramonte, Bilia, and Takeda (2017) using PC1 scores and their coefficient of variation. Although we found that the variance explained by PC2 is not trivial (20.69%), we opted to retain only PC1 because it represented most of the data variation (37.66%).…”

Section: Methodsmentioning

confidence: 99%

Environmental heterogeneity influences life‐form richness and species composition but not species richness of aquatic macrophytes in tropical coastal rivers

2020

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1. The coastal rivers of the São Paulo State in SE Brazil have different lengths and seawater influence. We evaluated whether: (1) environmental heterogeneity (EH) is associated with the species and life-form richness of aquatic macrophytes; and (2) EH and geographical distance influence species composition in these coastal rivers. 2. We recorded the macrophyte species and life form occurrence and collected explanatory variables characterising the water, sediment, and river channel at 100 sampling sites over 8 rivers. We applied a principal component analysis to the explanatory variables and calculated the rivers' EH using the range of principal component 1 scores. We also determined the position of each river mouth along the coastline to measure the distance between the rivers. We used quasi-Poisson generalised linear models to evaluate the effects of EH on richness of species and life forms. To determine the effect of EH and geographical distance (Euclidean distance matrices) on the variation in species composition (Jaccard dissimilarity matrix) among the rivers, we applied multiple regressions on distance matrices. 3. The most heterogeneous river had heterogeneity score about five times greater than the least heterogeneous river. Sediment salinity, river width, total phosphorus concentration of water and distance from river mouth were the most important variables contributing to the rivers' EH. We found that EH did not explain variation in species richness; however, it had a significant positive relationship with life-form richness. The effect of EH was greater than that of the geographical distance on the variation in species composition among the rivers. The pairs of rivers with the most similar EH were the most similar in species composition, but not all of them were geographically close. 4. We conclude that EH influences life-form richness but does not influence species richness of aquatic macrophytes in the coastal rivers we studied; however, EH does influence species composition regardless of geographical distance among rivers. K E Y W O R D S aquatic plants, coastal plain, estuaries, macrophyte composition, river heterogeneity | 1895 NUNES Et al. 1 | INTRODUC TI ON Environmental heterogeneity (EH) has been reported as one of the main factors that explain species diversity (Reynolds, Hungate, Chapin, & D'Antonio, 1997), as it can promote high species richness

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Differences in environmental heterogeneity promote the nestedness of Chironomidae metacommunity in Neotropical floodplain lakes

Cited by 6 publications

References 51 publications

Spatial versus spatio-temporal approaches for studying metacommunities: a multi-taxon analysis in Mediterranean and tropical temporary ponds

Spatial versus spatio-temporal approaches for studying metacommunities: a multi-taxon analysis in Mediterranean and tropical temporary ponds

Macrophyte functional composition is stable across a strong environmental gradient of a Neotropical floodplain

Environmental heterogeneity influences life‐form richness and species composition but not species richness of aquatic macrophytes in tropical coastal rivers

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