Functional richness outperforms taxonomic richness in predicting ecosystem functioning in natural phytoplankton communities DOI
András Abonyi, Zsófia Horváth, Robert Ptáčník

и другие.

Freshwater Biology, Год журнала: 2017, Номер 63(2), С. 178 - 186

Опубликована: Ноя. 20, 2017

Abstract Recent studies clearly support a positive biodiversity–ecosystem functioning ( BEF ) relationship in phytoplankton. As taxon richness does not quantify functional diversity, approaches have been developed to link community diversity. Compared terrestrial plant communities, only few validated phytoplankton relationships. Furthermore, the ability of and taxonomic measures predicting ecosystem natural communities has compared yet. Here, we analysed using (trait categories response groups sensu Reynolds) broad‐scale dataset from Fennoscandia. First, how compositions were related local environmental predictors. We then performed resource‐use efficiency (the yield biomass standardised by total phosphorus) as an measure. Finally, tested whether between is further enhanced once each measure also considered. Among approaches, trait matrix showed best correspondence with environment. The predicted significantly better than category richness—both full almost all Fennoscandian countries. On top richness, residual variation group positively entire individual Applying reduced complexity data should come along ecological information. showed, however, that both represented some redundancy among taxa meaningful way, our composition Moreover, Reynolds summarises information on contained way represents diversity categories. Interestingly, approach, which exclusively derived field observations rather quantified traits, outperforms dataset. This may highlight traits still limited. Existing can translate into but reliable already predict data.

Язык: Английский

Trait-based modelling in ecology: A review of two decades of research DOI
Liubov Zakharova, Katrin Meyer, Merav Seifan

и другие.

Ecological Modelling, Год журнала: 2019, Номер 407, С. 108703 - 108703

Опубликована: Июль 5, 2019

Язык: Английский

Процитировано

132
Understanding the key ecological traits of cyanobacteria as a basis for their management and control in changing lakes DOI
Evanthia Mantzouki, P. Visser, Myriam Bormans

и другие.

Aquatic Ecology, Год журнала: 2015, Номер 50(3), С. 333 - 350

Опубликована: Июнь 15, 2015

Язык: Английский

Процитировано

126
Effects of temperature and nitrogen availability on the growth of invasive and native cyanobacteria DOI
Mridul K. Thomas, Elena Litchman

Hydrobiologia, Год журнала: 2015, Номер 763(1), С. 357 - 369

Опубликована: Июнь 29, 2015

Язык: Английский

Процитировано

119
Mechanisms shaping size structure and functional diversity of phytoplankton communities in the ocean DOI Creative Commons
Esteban Acevedo‐Trejos,

Gunnar Brandt,

Jorn Bruggeman

и другие.

Scientific Reports, Год журнала: 2015, Номер 5(1)

Опубликована: Март 9, 2015

The factors regulating phytoplankton community composition play a crucial role in structuring aquatic food webs. However, consensus is still lacking about the mechanisms underlying observed biogeographical differences cell size of communities. Here we use trait-based model to disentangle these two contrasting regions Atlantic Ocean. In our model, can self-assemble based on trade-off emerging from relationships between and (1) nutrient uptake, (2) zooplankton grazing, (3) sinking. Grazing 'pushes' towards larger sizes, whereas uptake sinking 'pull' smaller sizes. We find that stable environmental conditions tropics strongly balance forces leading persistently small sizes reduced diversity. contrast, seasonality temperate region causes regularly reorganize via shifts species exhibit, average, bigger higher diversity than tropics. Our results raise importance variability as key mechanism plankton communities ocean call for reassessment current understanding patterns across latitudinal gradients.

Язык: Английский

Процитировано

117
Secondary metabolite gene expression and interplay of bacterial functions in a tropical freshwater cyanobacterial bloom DOI Creative Commons

Kevin Penn,

Jia Wang, Samodha C. Fernando

и другие.

The ISME Journal, Год журнала: 2014, Номер 8(9), С. 1866 - 1878

Опубликована: Март 20, 2014

Abstract Cyanobacterial harmful algal blooms (cyanoHABs) appear to be increasing in frequency on a global scale. The Cyanobacteria can produce toxic secondary metabolites that make freshwater dangerous for drinking and recreation. To characterize microbial activities cyanoHAB, transcripts from eutrophic reservoir Singapore were sequenced six samples collected over one day-night period. Transcripts the Cyanobacterium Microcystis dominated all accompanied by at least 533 genera primarily Cyanobacteria, Proteobacteria, Bacteroidetes Actinobacteria. Within population, abundant genes buoyancy, photosynthesis synthesis of toxin microviridin, suggesting these are necessary competitive dominance Reservoir. During day, enriched energy metabolism while night pathways included DNA replication repair biosynthesis. was dominant source polyketide non-ribosomal peptide synthase (PKS NRPS, respectively) gene clusters. Unexpectedly, expression PKS/NRPS clusters, including toxins microcystin aeruginosin, occurred throughout cycle. most highly expressed cluster is not associated with any known product. four phyla different functions, (Cyanobacteria), breakdown complex organic molecules (Proteobacteria), glycan (Bacteroidetes) plant carbohydrates, such as cellobiose (Actinobacteria). These results provide first estimate metabolite expression, functional partitioning interplay cyanoHAB.

Язык: Английский

Процитировано

104
Temperature effects on growth rates and fatty acid content in freshwater algae and cyanobacteria DOI Creative Commons

Jakob O. Nalley,

Daniel R. O’Donnell, Elena Litchman

и другие.

Algal Research, Год журнала: 2018, Номер 35, С. 500 - 507

Опубликована: Окт. 3, 2018

Язык: Английский

Процитировано

102
Metabolic traits predict the effects of warming on phytoplankton competition DOI Creative Commons
Elvire Bestion, Bernardo García‐Carreras,

Charlotte‐Elisa Schaum

и другие.

Ecology Letters, Год журнала: 2018, Номер 21(5), С. 655 - 664

Опубликована: Март 25, 2018

Understanding how changes in temperature affect interspecific competition is critical for predicting ecological communities with global warming. Here, we develop a theoretical model that links differences the dependence of resource acquisition and growth to outcome pairwise phytoplankton. We parameterised our these metabolic traits derived from six species freshwater phytoplankton tested its ability predict all combinations factorial experiment, manipulating nutrient availability. The correctly predicted 72% experiments, competitive advantage determined by difference thermal sensitivity rates two species. These results demonstrate play key role determining influence lay foundation mechanistically effects warming complex, multi-species communities.

Язык: Английский

Процитировано

85
Eco-evolutionary emergence of macroecological scaling in plankton communities DOI
Jonas Wickman, Elena Litchman, Christopher A. Klausmeier

и другие.

Science, Год журнала: 2024, Номер 383(6684), С. 777 - 782

Опубликована: Фев. 15, 2024

Macroecological scaling patterns, such as between prey and predator biomass, are fundamental to our understanding of the rules biological organization ecosystem functioning. Although these patterns ubiquitous, how they arise is poorly understood. To explain we used an eco-evolutionary predator-prey model parameterized using data for phytoplankton zooplankton. We show that allometric relationships at lower levels organization, body-size nutrient uptake predation, give rise food web levels. Our predicted macroecological exponents agree well with observed values across ecosystems. findings explicitly connect different ecological evolutionary mechanisms, yielding testable hypotheses emerge.

Язык: Английский

Процитировано

14
Invited Review - Fight on Plankton! or, Phytoplankton Shape and Size as Adaptive Tools to Get Ahead in the Struggle for Life DOI
Luigi Naselli‐Flores, Rossella Barone

Cryptogamie Algologie, Год журнала: 2011, Номер 32(2), С. 157 - 204

Опубликована: Май 1, 2011

A renewed interest in investigating the relationships existing between body size and environmental variables is pervading ecological studies. Phytoplankton has a long tradition as model system studies of community ecology several research concepts were developed using these organisms. In this paper we try to review relevance analyzing morphological features phytoplankton ecology. Starting with brief account allometric phytoplankton, i) examine physical context which grow, ii) highlight role their nutrient uptake, that shape light harvesting. Moreover, way morphology organisms cope hydrodynamical conditions given water-body are considered. addition, also included paragraph on grazing moulding structure assemblages. An main currents about definition morpho-functional traits offered. All approaches, can be viewed complementary taxonomy, both molecular "traditional", promising tools better understand functioning aquatic ecosystems may offer vast array new perspectives field well simplified tool perform water quality monitoring.

Язык: Английский

Процитировано

93
An Automated Platform for Phytoplankton Ecology and Aquatic Ecosystem Monitoring DOI
Francesco Pomati, Jukka Jokela,

Marco Simona

и другие.

Environmental Science & Technology, Год журнала: 2011, Номер 45(22), С. 9658 - 9665

Опубликована: Окт. 7, 2011

High quality monitoring data are vital for tracking and understanding the causes of ecosystem change. We present a potentially powerful approach phytoplankton aquatic monitoring, based on integration scanning flow-cytometry characterization counting algal cells with multiparametric vertical water profiling. This affords high-frequency abundance, functional traits diversity, coupled environmental conditions growth over structure deep body. Data from pilot study revealed effects an disturbance event community in Lake Lugano (Switzerland), characterized by reduction cytometry-based diversity period cyanobacterial dominance. These changes were missed traditional limnological methods, employed parallel to monitoring. Modeling importance integrated spatiotemporal data, including circadian time-lags variability column, understand drivers dynamic processes. The described represents progress toward automated trait-based analysis natural communities. Streamlining measurements may represent resource understanding, modeling managing ecosystems under impact change, yielding insight into processes governing resistance resilience.

Язык: Английский

Процитировано

92