The relative influence of the environment, land use, and space on the functional and taxonomic structures of phytoplankton and zooplankton metacommunities in tropical reservoirs

Rocha, Barbbara da Silva; Souza, Carla Albuquerque de; Machado, Karine Borges; Vieira, Ludgero Cardoso Galli; Nabout, João Carlos

doi:10.1086/708949

Cited by 21 publications

(8 citation statements)

References 78 publications

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“…At last, our results evidenced metacommunities dynamics where, during the rainy season, spatially structured environmental predictors could affect the phytoplankton community due to the proximity and greater connectivity of the reservoirs, resulting in a larger influence of the space in the local predictors (Heino et al, 2015;Rocha et al, 2020). On the other hand, landscape was more influential in the dry season, mainly agricultural land uses.…”

Section: Discussionmentioning

confidence: 58%

Local and regional determinants of phytoplankton communities in water reservoirs from the Cerrado biome

et al. 2023

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Aim Based on a study comprising water reservoirs within the Brazilian Cerrado biome, we seek to answer the following question: how does phytoplankton communities respond to environmental, landscape, and spatial predictors? We expected local predictors to be the main factors structuring the communities. Since phytoplankton has high dispersal capacity, the geographical distance would be of minor importance. Methods: We collected phytoplankton samples from 40 water reservoirs in the rainy season and 37 reservoirs in the dry season. We performed a partial Redundancy Analysis (pRDA) to evaluate the factors influencing the variation in the composition of phytoplankton communities. Results We found that spatially structured environmental factors were controlling phytoplankton communities at the rainy season, whereas landscape was the main predictor in the dry season. On the other hand, phytoplankton morphofunctional groups were influenced only by local predictors. Conclusions We demonstrated that phytoplankton dynamics differs between rainy and dry seasons, and that distinct predictors affect phytoplankton communities over seasons.

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Section: Discussionmentioning

confidence: 58%

Local and regional determinants of phytoplankton communities in water reservoirs from the Cerrado biome

et al. 2023

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“…available nutrients, stratification; (Stomp et al 2011, Li et al 2019, Borics et al 2021), which, together with the fact that we focused on the pure spatial effect (i.e. centrality gradient across scales) might have hidden the spatial signal for these groups if both environment and centrality gradients where equally relevant or correlated (Chaparro et al 2018, Loewen et al 2020, Rocha et al 2020). Nonetheless, the current findings point towards the relevance of spatial distribution for the diversity of two key planktonic groups such as bacterioplankton and zooplankton not uniquely related to the fluvial network.…”

Section: Discussionmentioning

confidence: 99%

Mapping planktonic communities: a network approach to assess the role of scale and centrality on their diversity and composition

Cunillera-Montcusí,

Bengtsson,

Matthews

et al. 2024

Preprint

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The distribution of habitats across a landscape and their centrality gradient are key elements defining the effective pathways of dispersal, and thus of metacommunity assembly. Understanding how centrality shapes diversity patterns is essential for predicting the impact of future landscape changes on diversity. While alpine lakes have been extensively studied, often considering the fluvial network as a potential landscape, small planktonic communities have frequently been overlooked as potential dispersers due to their assumed ubiquity. In this study, we investigate the diversity patterns of alpine lake planktonic communities along lake networks constructed at different scales, ranging from 6.5 to 650 km and the fluvial network. We sampled 55 lakes in the northern Alps (16S, 18S, phytoplankton and zooplankton) and calculated several diversity metrics (alpha, beta diversity and LCBD) and multivariate analysis. We then constructed several networks responding to different scales, determined their centrality gradients, and finally explored their relationship with the diversity of each planktonic group. We expected that a groups' diversity would relate differently across scales based on body size, but the outcomes were varied. Bacterioplankton and zooplankton diversity were both affected across scales higher than 100 km, whereas phytoplankton appeared completely unrelated to centrality. Nonetheless, we could observe that when significant, the relationships between diversity and centrality were shared among organisms. These findings not only underscore that planktonic organisms are influenced by landscape configurations larger than the fluvial system but also emphasise the critical role of dispersal for these groups and the scales at which it impacts metacommunity assembly.

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“…The simplification of algal communities to understand the relationship between phytoplankton and the environment usually considers a functional approach. The shape of algae is strongly related to their ecological requirements; therefore, morphology-based groups can be predicted based on environmental conditions (Kruk et al, 2011;Rocha et al, 2020). Genus-level data have also been tested for European and tropical south American ecosystems (Carneiro et al, 2010;Peng et al, 2021;Phillips et al, 2013;Souza et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Trophic assessment of four tropical reservoirs using phytoplankton genera

Rivera¹,

Zapata²,

Villamil³

et al. 2022

Acta Limnol. Bras.

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Aim Monitoring the trophic state of reservoirs requires indices that provide a quick report of the ecosystem to decision makers. This study aimed to develop a system of trophic status indicators for tropical mountain reservoirs using phytoplankton genera. Methods Between 2004 and 2010, four reservoirs for water supply in Bogotá (Colombia), which have different trophic statuses and hydraulic management, were monitored. Samples were collected for the analysis of physical and chemical variables and phytoplankton community. Through multivariate analysis, the significance of the relationships between environmental variables and phytoplankton species and genera was established. Subsequently, trophic indices were proposed as relevant variables. The global trophic index was calculated as the sum of the partial indices. Results Analysis of the main components showed that reservoirs varied chemically depending on trophic status. Phytoplankton were composed of 63 genera, 59% of which were present in the four reservoirs. Although the physical characteristics of water, such as temperature and total solids content, explained a large part of the variation in the genera, a significant relationship between the genera and variables related to trophic state was observed in each reservoir. The multivariate analyses grouping the data by genera showed a behavior similar to the analysis using information at the species level. Plankton indices of trophic state were developed for phosphorus (TP), total Kjeldahl nitrogen (TKN), total organic carbon (TOC), and Secchi disk (SD) using data grouped by genera. The indices were significantly correlated with the values of each variable in each reservoir. Linear regression models showed a significant prediction of chlorophyll-a using TP, TKN, and SD indices in the three reservoirs with the highest trophic level. In addition, the global index showed a significant relationship with variables related to the trophic state. Conclusions Phytoplankton data at the genus level can be used to assess trophic status. The models for SD, TP, and TKN could be used as indicators of the trophic status of the studied reservoirs.

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The relative influence of the environment, land use, and space on the functional and taxonomic structures of phytoplankton and zooplankton metacommunities in tropical reservoirs

Cited by 21 publications

References 78 publications

Local and regional determinants of phytoplankton communities in water reservoirs from the Cerrado biome

Local and regional determinants of phytoplankton communities in water reservoirs from the Cerrado biome

Mapping planktonic communities: a network approach to assess the role of scale and centrality on their diversity and composition

Trophic assessment of four tropical reservoirs using phytoplankton genera

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