Environmental heterogeneity among lakes promotes hyper β‐diversity across phytoplankton communities

Maloufi, Selma; Catherine, Arnaud; Mouillot, David; Louvard, Clarisse; Couté, Alain; Bernard, Cécile; Troussellier, Marc

doi:10.1111/fwb.12731

Cited by 71 publications

(40 citation statements)

References 78 publications

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“…Our analyses demonstrated a moderate to low dissimilarity in phytoplankton and cyanobacteria in the Prespa lakes. This is in contrast with results from other lakes and reservoirs of the world with strong environmental heterogeneity [11,47]. High beta diversity in these freshwaters was mainly explained by species turnover.…”

Section: Discussioncontrasting

confidence: 99%

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Ecological Connectivity in Two Ancient Lakes: Impact Upon Planktonic Cyanobacteria and Water Quality

Katsiapi

Genitsaris

Stefanidou

et al. 2019

Water

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The ancient lakes Mikri Prespa and Megali Prespa are located in SE Europe at the transnational triangle and are globally recognized for their ecological significance. They host hundreds of flora and fauna species, and numerous types of habitat of conservational interest. They also provide a variety of ecosystem services. Over the last few decades, the two lakes have been interconnected through a surface water channel. In an attempt to explore whether such a management practice might alter the ecological properties of the two lakes, we investigated a series of community metrics for phytoplankton by emphasizing cyanobacteria. Our results demonstrate that the cyanobacterial metacommunity structure was affected by directional hydrological connectivity and high dispersal rates, and to a lesser extent, by cyanobacterial species sorting. Cyanobacterial alpha diversity was twofold in the shallow upstream Lake Mikri Prespa (Simpson index average value: 0.70) in comparison to downstream Lake Megali Prespa (Simpson index average value: 0.37). The cyanobacterial assemblage of the latter was only a strict subset of that in Mikri Prespa. Similarly, beta diversity components clearly showed a homogenization of cyanobacteria, supporting the hypothesis that water flow enhances fluvial translocation of potentially toxic and bloom-forming cyanobacteria. Degrading of the water quality in the Lake Megali Prespa in anticipation of improving that of the Lake Mikri Prespa is an issue of great concern for the Prespa lakes' protection and conservation.

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Section: Discussioncontrasting

confidence: 99%

“…It is, therefore, globally acknowledged that the management of lakes should aim at maintaining environmental heterogeneity while preventing further eutrophication and expansion of toxic and allelopathic cyanobacteria. This management practice could favour the maintenance of high phytoplankton beta and gamma diversity [11].…”

Section: Introductionmentioning

confidence: 99%

Ecological Connectivity in Two Ancient Lakes: Impact Upon Planktonic Cyanobacteria and Water Quality

Katsiapi

Genitsaris

Stefanidou

et al. 2019

Water

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“…Among the factors that may cause species turnover, environmental heterogeneity is thought to play a major role (Veech & Crist, 2007). Species turnover is expected to be positively correlated with environmental heterogeneity, owing to the increased niche opportunities and possibilities to track variation in resources and conditions (Qian & Ricklefs, 2012;Stegen et al, 2013;Maloufi et al, 2016). Productivity is considered another major driver of beta diversity (Chase & Leibold, 2002;Chase & Ryberg, 2004;Chase, 2010), including for phytoplankton (Ptacnik et al, 2010), but the conclusions regarding its role are contradictory.…”

Section: Introductionmentioning

confidence: 99%

Temporal variation in phytoplankton beta diversity patterns and metacommunity structures across subtropical reservoirs

et al. 2017

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Summary Analysing the beta diversity components and spatial patterns of species distribution may provide key insights into how local communities respond to human‐induced environmental changes. Indeed, analysing temporal variation in spatial patterns of species distribution may reveal trends of biotic homogenisation and its likely causes. We used an eight‐year phytoplankton data set generated from to 17 reservoirs in Brazil to analyse the temporal variability in beta diversity and its turnover and nestedness components. This data set was also used to determine metacommunity structures across these subtropical reservoirs. We tested whether there was any long‐term temporal trend in beta diversity that might be indicative of biotic homogenisation or differentiation. We also tested how temporal variation was related to climatic conditions, environmental heterogeneity, productivity and cyanobacterial dominance. Lastly, we verified whether the phytoplankton metacommunity showed non‐random structure. We did not find supporting evidence for biotic homogenisation among the reservoirs. Rather, we did find that nestedness decreased during the study. Environmental heterogeneity was the main variable positively related to phytoplankton beta diversity, while high ammonium concentration and cyanobacterial abundance were negatively correlated with spatial variation among the reservoirs. Despite the noticeable temporal variation in metacommunity structures, the phytoplankton species responded similar to latent environmental gradients. Clementsian patterns found mainly in fall and winter were consistent with differences in species composition between sites, reinforcing the role of environmental filtering in driving changes in these metacommunities. Our results suggest that eutrophication control is essential to prevent biotic homogenisation, at least in our study system. We also highlight that metacommunity patterns detected in snapshot surveys should not be extrapolated temporally.

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“…The distinction between these two views can result from effects at different temporal scales (Korhonen et al, 2010) since short-time-scale sampling may not sufficiently cover the species pool. However, it can also be caused by the spatial extent of the study, affecting which variables are important for microbes (Verleyen et al, 2009;Heino et al, 2014;Maloufi et al, 2016). In the following we focus on the latter question related to spatial variation in microbial communities.…”

Section: Introductionmentioning

confidence: 99%

Disentangling multi‐scale environmental effects on stream microbial communities

Jyrkänkallio‐Mikkola

Meier

Heino

et al. 2017

Journal of Biogeography

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Aim Climate change and anthropogenic environmental deterioration strongly affect aquatic microbial communities. Although microbes have irreplaceable roles in various ecosystems, the spatial variation in microbial communities has received less attention in comparison to macro‐organisms. Studies aiming to disentangle the effects of local environmental, catchment and climatic variables on microbial communities are also rare. Here, we disentangled the effects of local, catchment, spatial and climatic variables on boreal stream diatom and bacterial communities. Location Western Finland Methods We sampled 21 boreal river basins comprising 105 study sites spanning 520 km in north‐south direction and 330 km in east‐west direction in western Finland. We used principal coordinates of neighbour matrix analysis (PCNM), redundancy analyses (RDA), variation partitioning, boosted regression trees (BRT) and regression analyses to examine variation in community composition and species richness. Results Water chemistry and physical variables had significant effects on the community composition of both microbial groups. Catchment level variables explained a slightly larger amount of variation in diatom community composition than local level variables. Agriculture was the most significant determinant of variation in diatom community composition among catchment level variables and was also related with variation in the richness of both groups. Of spatial and climatic variables, growing degree days (GDD) and spatial variables were the most significant drivers determining diatom community composition. GDD was also positively associated with the richness of diatoms and bacteria. Unique effects of spatial and climate variables accounted for the largest amount of variation in the community composition of both diatoms and bacteria. Main conclusions Our results highlight that aquatic microbial communities can exhibit biogeographical variation at regional scales due to the joint influence of local, catchment and climatic variables, and possibly because of dispersal limitation. Catchment properties, especially agriculture, can be used as a proxy for the effects of landscape alteration on aquatic microbial communities.

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Environmental heterogeneity among lakes promotes hyper β‐diversity across phytoplankton communities

Cited by 71 publications

References 78 publications

Ecological Connectivity in Two Ancient Lakes: Impact Upon Planktonic Cyanobacteria and Water Quality

Ecological Connectivity in Two Ancient Lakes: Impact Upon Planktonic Cyanobacteria and Water Quality

Temporal variation in phytoplankton beta diversity patterns and metacommunity structures across subtropical reservoirs

Disentangling multi‐scale environmental effects on stream microbial communities

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