Diversity of habitats and bacterial communities support landscape-scale multifunctionality differently across seasons

In this study, we demonstrate how changes in the diversity of habitat and bacterial communities affect landscape multifunctionality. Habitat diversity may beget species diversity by increasing niche availability and resource complementarity. Species diversity, in turn, generally promotes multifunctionality, i.e. the simultaneous performance of multiple ecosystem functions. However, the relationship between habitat diversity and functioning remains to be explicitly explored. In order to test the relationship between habitat diversity and multifunctionality we constructed experimental landscapes of four different habitats common in shallow-water sediment ecosystems: cyanobacterial mats, Ruppia maritima meadows, silty mud and sandy beach. We manipulated the diversity of these habitats over three consecutive seasons and measured bacterial diversity, benthic microalgal diversity and four functions related to marine nitrogen cycling (gross primary production, nitrogen fixation, denitrification and uptake of dissolved inorganic nitrogen). Our results showed that higher habitat and bacterial diversity, but not benthic microalgal diversity, increased landscape multifunctionality. However, the relative importance of habitat and bacterial diversity varied with season. Habitat diversity was generally the strongest driver, affecting multifunctionality directly in summer and indirectly via bacterial diversity in autumn. In spring, neither of the two aspects of diversity was important. Our study demonstrates the importance of considering temporal differences in both habitat and species diversity for landscape multifunctionality, and the importance of direct and indirect effects in mediating ecosystem functions. Habitat homogenization in concert with loss in biodiversity can thus be a driving force of declining ecosystem functioning and the services they underpin.

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Diversity of habitats and bacterial communities support landscape-scale multifunctionality differently across seasons

10.7287/peerj.preprints.2036v1 ◽

2016 ◽

Cited By ~ 1

Author(s):

Christian Alsterberg ◽

Fabian Roger ◽

Kristina Sundbäck ◽

Jaanis Juhanson ◽

Stefan Hulth ◽

...

Keyword(s):

Species Diversity ◽

Bacterial Diversity ◽

Bacterial Communities ◽

Inorganic Nitrogen ◽

Gross Primary Production ◽

Habitat Diversity ◽

Ecosystem Functions ◽

Ruppia Maritima ◽

Resource Complementarity ◽

The Relationship

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How do Planktonic Particle Collection Methods Affect Bacterial Diversity Estimates and Community Composition in Oligo-, Meso- and Eutrophic Lakes?

Frontiers in Microbiology ◽

10.3389/fmicb.2020.593589 ◽

2020 ◽

Vol 11 ◽

Author(s):

Guijuan Xie ◽

Xiangming Tang ◽

Yi Gong ◽

Keqiang Shao ◽

Guang Gao

Keyword(s):

Species Diversity ◽

Pore Size ◽

Bacterial Diversity ◽

Bacterial Communities ◽

Heterotrophic Bacteria ◽

Lake Taihu ◽

Rrna Gene ◽

Eutrophic Lakes ◽

Particle Collection ◽

Collection Methods

Particles are hotspots of bacterial growth and nutrient recycling in aquatic ecosystems. In the study of particle-attached (PA) and/or free-living (FL) microbial assemblages, the first step is to separate particles from their surrounding water columns. Widely used collection techniques are filtration using different pore size filters, and centrifugation; however, it is unclear how the bacterial diversity, bacterial community structure (BCS) and taxonomic composition of PA assemblages are affected by different particle collection methods. To address this knowledge gap, we collected planktonic particles from eutrophic Lake Taihu, mesotrophic Lake Tianmu, and oligotrophic Lake Fuxian in China, using filtration with five pore size of filters (20, 10, 8.0, 5.0, and 3.0 μm), and centrifugation. Bacterial communities were then analyzed using Illumina MiSeq sequencing of the 16S rRNA gene. We found that PA collection method affected BCS significantly in all lakes. Centrifugation yielded the highest species diversity and lowest mean percentage of photoautotrophic Cyanobacteria in Lake Taihu, but not in the other two lakes, thus highlighting the potential compatibility of this method in the study of PA assemblage in eutrophic lakes. The high bacterial diversity and low relative percentage of Cyanobacteria was in samples retained on 5.0 μm filters in all lakes. These results suggest that collecting PA samples in lakes using filters with 5.0 μm pore size is the preferred protocol, if species diversity and heterotrophic bacteria are the top research priorities, when comparing bacterial communities in different trophic lakes at the same time. The present study offers the possibility of collecting PA samples using unified methods in oligotrophic to eutrophic lakes.

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Bacterial diversity and predicted enzymatic function in a multipurpose surface water system – from wastewater effluent discharges to drinking water production

Environmental Microbiome ◽

10.1186/s40793-021-00379-w ◽

2021 ◽

Vol 16 (1) ◽

Author(s):

Ananda Tiwari ◽

Anna-Maria Hokajärvi ◽

Jorge Santo Domingo ◽

Michael Elk ◽

Balamuralikrishna Jayaprakash ◽

...

Keyword(s):

Drinking Water ◽

Surface Water ◽

Bacterial Community ◽

Human Health ◽

Bacterial Diversity ◽

Water Samples ◽

Bacterial Communities ◽

Treatment Process ◽

Pollution Sources ◽

Production Well

Abstract Background Rivers and lakes are used for multiple purposes such as for drinking water (DW) production, recreation, and as recipients of wastewater from various sources. The deterioration of surface water quality with wastewater is well-known, but less is known about the bacterial community dynamics in the affected surface waters. Understanding the bacterial community characteristics —from the source of contamination, through the watershed to the DW production process—may help safeguard human health and the environment. Results The spatial and seasonal dynamics of bacterial communities, their predicted functions, and potential health-related bacterial (PHRB) reads within the Kokemäenjoki River watershed in southwest Finland were analyzed with the 16S rRNA-gene amplicon sequencing method. Water samples were collected from various sampling points of the watershed, from its major pollution sources (sewage influent and effluent, industrial effluent, mine runoff) and different stages of the DW treatment process (pre-treatment, groundwater observation well, DW production well) by using the river water as raw water with an artificial groundwater recharge (AGR). The beta-diversity analysis revealed that bacterial communities were highly varied among sample groups (R = 0.92, p < 0.001, ANOSIM). The species richness and evenness indices were highest in surface water (Chao1; 920 ± 10) among sample groups and gradually decreased during the DW treatment process (DW production well; Chao1: 320 ± 20). Although the phylum Proteobacteria was omnipresent, its relative abundance was higher in sewage and industrial effluents (66–80%) than in surface water (55%). Phyla Firmicutes and Fusobacteria were only detected in sewage samples. Actinobacteria was more abundant in the surface water (≥13%) than in other groups (≤3%). Acidobacteria was more abundant in the DW treatment process (≥13%) than in others (≤2%). In total, the share of PHRB reads was higher in sewage and surface water than in the DW treatment samples. The seasonal effect in bacterial communities was observed only on surface water samples, with the lowest diversity during summer. Conclusions The low bacterial diversity and absence of PHRB read in the DW samples indicate AGR can produce biologically stable and microbiologically safe drinking water. Furthermore, the significantly different bacterial communities at the pollution sources compared to surface water and DW samples highlight the importance of effective wastewater treatment for protecting the environment and human health.

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The spatial heterogeneity of the relationship between gross primary production and sun-induced chlorophyll fluorescence regulated by climate conditions during 2007-2018

Global Ecology and Conservation ◽

10.1016/j.gecco.2021.e01721 ◽

2021 ◽

pp. e01721

Author(s):

Yonglin Wang ◽

Lei Zhou ◽

Jie Zhuang ◽

Leigang Sun ◽

Yonggang Chi

Keyword(s):

Chlorophyll Fluorescence ◽

Primary Production ◽

Spatial Heterogeneity ◽

Gross Primary Production ◽

Climate Conditions ◽

The Relationship

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The relationship between two Synechococcus strains and heterotrophic bacterial communities and its associated carbon flow

Journal of Applied Phycology ◽

10.1007/s10811-020-02343-6 ◽

2021 ◽

Author(s):

Zenghu Zhang ◽

Lili Tang ◽

Yantao Liang ◽

Gang Li ◽

Hongmei Li ◽

...

Keyword(s):

Bacterial Communities ◽

Carbon Flow ◽

The Relationship

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Effect of milk replacer allowance on calf faecal bacterial community profiles and fermentation

Animal Microbiome ◽

10.1186/s42523-021-00088-2 ◽

2021 ◽

Vol 3 (1) ◽

Author(s):

Sandeep Kumar ◽

M. Ajmal Khan ◽

Emma Beijer ◽

Jinxin Liu ◽

Katherine K. Lowe ◽

...

Keyword(s):

Fatty Acids ◽

Body Weight ◽

Bacterial Community ◽

Bacterial Diversity ◽

Serum Protein ◽

Bacterial Communities ◽

Short Chain Fatty Acids ◽

Short Chain ◽

Milk Replacer ◽

Protein Levels

Abstract Background The nutrition of calves from birth until weaning is predominantly from liquid (milk or milk-based) feeds. Liquid feed allowances are often restricted during artificial rearing to accelerate the development of the rumen by promoting solid feed intake. Liquid feeds bypass the rumen and are digested in the lower digestive tract, however, the influence of different types of milk feeds, and their allowances, on the calf hindgut microbiota is not well understood. In this study, faecal samples from 199 calves raised on three different allowances of milk replacer: 10% of initial bodyweight (LA), 20% of initial bodyweight (HA), and ad libitum (ADLIB), were collected just prior to weaning. Bacterial community structures and fermentation products were analysed, and their relationships with calf growth and health parameters were examined to identify potential interactions between diet, gut microbiota and calf performance. Results Differences in the total concentrations of short-chain fatty acids were not observed, but higher milk replacer allowances increased the concentrations of branched short-chain fatty acids and decreased acetate to propionate ratios. The bacterial communities were dominated by Ruminococcaceae, Lachnospiraceae and Bacteroides, and the bacterial diversity of the ADLIB diet group was greater than that of the other diet groups. Faecalibacterium was over three times more abundant in the ADLIB compared to the LA group, and its abundance correlated strongly with girth and body weight gains. Milk replacer intake correlated strongly with Peptococcus and Blautia, which also correlated with body weight gain. Bifidobacterium averaged less than 1% abundance, however its levels, and those of Clostridium sensu stricto 1, correlated strongly with initial serum protein levels, which are an indicator of colostrum intake and passive transfer of immunoglobulins in early life. Conclusions Higher milk replacer intakes in calves increased hindgut bacterial diversity and resulted in bacterial communities and short chain fatty acid profiles associated with greater protein fermentation. Increased abundances of beneficial bacteria such as Faecalibacterium, were also observed, which may contribute to development and growth. Moreover, correlations between microbial taxa and initial serum protein levels suggest that colostrum intake in the first days of life may influence microbiota composition at pre-weaning.

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Spatio-Temporal Variation of the Bacterial Communities along a Salinity Gradient within a Thalassohaline Environment (Saline di Tarquinia Salterns, Italy)

Molecules ◽

10.3390/molecules26051338 ◽

2021 ◽

Vol 26 (5) ◽

pp. 1338

Author(s):

Susanna Gorrasi ◽

Andrea Franzetti ◽

Roberto Ambrosini ◽

Francesca Pittino ◽

Marcella Pasqualetti ◽

...

Keyword(s):

Bacterial Diversity ◽

Generalized Linear Models ◽

Bacterial Communities ◽

Linear Models ◽

Salinity Gradient ◽

Sampling Site ◽

Α Diversity ◽

Spatio Temporal ◽

Abundance Variation ◽

Microbiological Aspects

The “Saline di Tarquinia” salterns have been scarcely investigated regarding their microbiological aspects. This work studied the structure and composition of their bacterial communities along the salinity gradient (from the nearby sea through different ponds). The communities showed increasing simplification of pond bacterial diversity along the gradient (particularly if compared to those of the sea). Among the 38 assigned phyla, the most represented were Proteobacteria, Actinobacteria and Bacteroidetes. Differently to other marine salterns, where at the highest salinities Bacteroidetes dominated, preponderance of Proteobacteria was observed. At the genus level the most abundant taxa were Pontimonas, Marivita, Spiribacter, Bordetella, GpVII and Lentibacter. The α-diversity analysis showed that the communities were highly uneven, and the Canonical Correspondence Analysis indicated that they were structured by various factors (sampling site, sampling year, salinity, and sampling month). Moreover, the taxa abundance variation in relation to these significant parameters were investigated by Generalized Linear Models. This work represents the first investigation of a marine saltern, carried out by a metabarcoding approach, which permitted a broad vision of the bacterial diversity, covering both a wide temporal span (two years with monthly sampling) and the entire salinity gradient (from the nearby sea up to the crystallisation ponds).

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Soil Nutrient and Vegetation Diversity Patterns of Alpine Wetlands on the Qinghai-Tibetan Plateau

Sustainability ◽

10.3390/su13116221 ◽

2021 ◽

Vol 13 (11) ◽

pp. 6221

Author(s):

Muyuan Ma ◽

Yaojun Zhu ◽

Yuanyun Wei ◽

Nana Zhao

Keyword(s):

Species Diversity ◽

Tibetan Plateau ◽

Soil Properties ◽

Soil Ph ◽

Plant Biomass ◽

Principal Component ◽

Vegetation Diversity ◽

Vegetation Biomass ◽

Relative Contribution ◽

The Relationship

To predict the consequences of environmental change on the biodiversity of alpine wetlands, it is necessary to understand the relationship between soil properties and vegetation biodiversity. In this study, we investigated spatial patterns of aboveground vegetation biomass, cover, species diversity, and their relationships with soil properties in the alpine wetlands of the Gannan Tibetan Autonomous Prefecture of on the Qinghai-Tibetan Plateau, China. Furthermore, the relative contribution of soil properties to vegetation biomass, cover, and species diversity were compared using principal component analysis and multiple regression analysis. Generally, the relationship between plant biomass, coverage, diversity, and soil nutrients was linear or unimodal. Soil pH, bulk density and organic carbon were also significantly correlated to plant diversity. The soil attributes differed in their relative contribution to changes in plant productivity and diversity. pH had the highest contribution to vegetation biomass and species richness, while total nitrogen was the highest contributor to vegetation cover and nitrogen–phosphorus ratio (N:P) was the highest contributor to diversity. Both vegetation productivity and diversity were closely related to soil properties, and soil pH and the N:P ratio play particularly important roles in wetland vegetation biomass, cover, and diversity.

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Linking climate, gross primary productivity, and site index across forests of the western United States

Canadian Journal of Forest Research ◽

10.1139/x11-086 ◽

2011 ◽

Vol 41 (8) ◽

pp. 1710-1721 ◽

Cited By ~ 53

Author(s):

Aaron R. Weiskittel ◽

Nicholas L. Crookston ◽

Philip J. Radtke

Keyword(s):

Climate Change ◽

Growth Models ◽

Gross Primary Production ◽

Site Index ◽

Nonparametric Model ◽

Climate Change Scenarios ◽

Geographic Scale ◽

Potential Productivity ◽

The One ◽

The Relationship

Assessing forest productivity is important for developing effective management regimes and predicting future growth. Despite some important limitations, the most common means for quantifying forest stand-level potential productivity is site index (SI). Another measure of productivity is gross primary production (GPP). In this paper, SI is compared with GPP estimates obtained from 3-PG and NASA’s MODIS satellite. Models were constructed that predict SI and both measures of GPP from climate variables. Results indicated that a nonparametric model with two climate-related predictor variables explained over 68% and 76% of the variation in SI and GPP, respectively. The relationship between GPP and SI was limited (R2 of 36%–56%), while the relationship between GPP and climate (R2 of 76%–91%) was stronger than the one between SI and climate (R2 of 68%–78%). The developed SI model was used to predict SI under varying expected climate change scenarios. The predominant trend was an increase of 0–5 m in SI, with some sites experiencing reductions of up to 10 m. The developed model can predict SI across a broad geographic scale and into the future, which statistical growth models can use to represent the expected effects of climate change more effectively.

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