Eco-physiological adaptations that favour freshwater cyanobacteria in a changing climate

Water Research, Journal Year: 2011, Volume and Issue: 46(5), P. 1394 - 1407

Published: Dec. 16, 2011

Language: Английский

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The interaction between climate warming and eutrophication to promote cyanobacteria is dependent on trophic state and varies among taxa

Limnology and Oceanography, Journal Year: 2013, Volume and Issue: 59(1), P. 99 - 114

Published: Dec. 15, 2013

Cyanobacteria are predicted to increase due climate and land use change. However, the relative importance interaction of warming temperatures increased nutrient availability in determining cyanobacterial blooms unknown. We investigated contribution these two factors promoting phytoplankton biovolume freshwater lakes. Specifically, we asked: (1) Which drivers, temperature or nutrients, is a better predictor biovolume? (2) Do nutrients significantly interact affect cyanobacteria, if so, synergistic? (3) Does between explain more variance than each factor alone? analyzed data from > 1000 U.S. lakes demonstrate that most cases, was not synergistic; rather, predominantly controlled biovolume. Interestingly, their dependent on lake trophic state taxon. Nutrients played larger role oligotrophic lakes, while important mesotrophic lakes: Only eutrophic hyper‐eutrophic exhibited significant temperature. Likewise, some taxa, such as Anabaena , were sensitive others, Microcystis compared our results with an extensive literature review found they generally supported by previous studies. As become eutrophic, cyanobacteria will be temperature, but ultimately

Language: Английский

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ERSEM 15.06: a generic model for marine biogeochemistry and the ecosystem dynamics of the lower trophic levels

Geoscientific model development, Journal Year: 2016, Volume and Issue: 9(4), P. 1293 - 1339

Published: April 5, 2016

Abstract. The European Regional Seas Ecosystem Model (ERSEM) is one of the most established ecosystem models for lower trophic levels marine food web in scientific literature. Since its original development early nineties it has evolved significantly from a coastal model North Sea to generic tool simulations shelf seas global ocean. current release contains all essential elements pelagic and benthic parts ecosystem, including microbial web, carbonate system, calcification. Its distribution accompanied by testing framework enabling analysis individual model. Here we provide detailed mathematical description ERSEM components along with case studies mesocosm-type simulations, water column implementations, brief example full-scale application north-western shelf. Validation against situ data demonstrates capability represent contrasting environments.

Language: Английский

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Storm impacts on phytoplankton community dynamics in lakes

Global Change Biology, Journal Year: 2020, Volume and Issue: 26(5), P. 2756 - 2784

Published: March 5, 2020

Abstract In many regions across the globe, extreme weather events such as storms have increased in frequency, intensity, and duration due to climate change. Ecological theory predicts that should large impacts on ecosystem structure function. High winds precipitation associated with can affect lakes via short‐term runoff from watersheds physical mixing of water column. addition, connected rivers streams will also experience flushing high flow rates. Although we a well‐developed understanding how wind alter lake processes some aspects biogeochemical cycling, our mechanistic emergent responses phytoplankton communities is poor. Here provide comprehensive synthesis identifies interact watershed attributes their antecedent conditions generate changes chemical environments. Such restructure dynamics, well result altered ecological function (e.g., carbon, nutrient energy cycling) short‐ long‐term. We summarize current storm‐induced identify knowledge gaps systematic review literature, suggest future research directions gradient types environmental conditions.

Language: Английский

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Functional classifications and their application in phytoplankton ecology

Freshwater Biology, Journal Year: 2014, Volume and Issue: 60(4), P. 603 - 619

Published: Dec. 1, 2014

Summary Ecologists often group organisms based on similar biological traits or taxonomic criteria. However, the use of taxonomy in ecology has many drawbacks because taxa may include species with very different ecological adaptations. Further, characters evolve independently lineages. In this review, we examine main criteria that have been used identification nine modes classifying phytoplankton non‐taxonomically. These approaches are purely morphological and/or structural traits, more complex combinations including physiological and features. Different functional proved able to explain some fraction variance observed spatial temporal distribution patterns algal assemblages, although their effectiveness varies greatly, depending number characteristics used. The attribution single broad groups allowed a few classifications (e.g. Functional Groups , FG ) be assessment status. We stress misuse (by applying them under conditions other than those intended) can serious consequences for interpreting processes. Assigning cannot considered surrogate knowledge ecotypes, specific must always justified circumscribed within limits questions hypotheses. An important future challenge will integrate advances molecular genetics, metabolomics physiology conventional traits; form basis next generation classifications.

Language: Английский

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The use of multiple biological traits in marine community ecology and its potential in ecological indicator development

Ecological Indicators, Journal Year: 2017, Volume and Issue: 76, P. 81 - 96

Published: Jan. 22, 2017

Language: Английский

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Five Years of Experimental Warming Increases the Biodiversity and Productivity of Phytoplankton

PLoS Biology, Journal Year: 2015, Volume and Issue: 13(12), P. e1002324 - e1002324

Published: Dec. 17, 2015

Phytoplankton are key components of aquatic ecosystems, fixing CO2 from the atmosphere through photosynthesis and supporting secondary production, yet relatively little is known about how future global warming might alter their biodiversity associated ecosystem functioning. Here, we explore structure, function, a planktonic metacommunity was altered after five years experimental warming. Our outdoor mesocosm experiment open to natural dispersal regional species pool, allowing us effects in context dynamics. Warming 4°C led 67% increase richness phytoplankton, more evenly-distributed abundance, higher rates gross primary productivity. elevated productivity indirectly, by increasing biomass local phytoplankton communities. also systematically shifted taxonomic functional trait composition favoring large, colonial, inedible taxa, suggesting stronger top-down control, mediated zooplankton grazing played an important role. Overall, our findings suggest that temperature can modulate coexistence, such mechanisms, could, some cases,

Language: Английский

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Competition for nutrients and light: testing advances in resource competition with a natural phytoplankton community

Ecology, Journal Year: 2018, Volume and Issue: 99(5), P. 1108 - 1118

Published: Feb. 17, 2018

A key challenge in ecology is to understand how nutrients and light affect the biodiversity community structure of phytoplankton plant communities. According resource competition models, ratios limiting are major determinants species composition. At high nutrient levels, however, interactions may shift for light, which might make less relevant. The "nutrient-load hypothesis" merges these two perspectives, by extending classic model include light. Here, we test five predictions nutrient-load hypothesis using multispecies experiments. marine sampled from North Sea was inoculated laboratory chemostats provided with different nitrogen (N) phosphorus (P) loads induce either single limitation or co-limitation N, P, Four were validated In particular, limitations favored dominance species. Increasing caused changes composition, even if N:P ratio remained constant, shifting all treatments, small became dominant whereas larger competitively excluded, supporting common view that cell size provides a competitive advantage under resource-limited conditions. Contrary expectation, treatments led coexistence diatoms, cyanobacteria green algae, resulting higher diversity than predicted theory. Because coexisting comprised three phyla photosynthetic pigments, speculate niche differentiation spectrum play role. Our results show mechanistic models integrate nutrient-based light-based approaches provide an important step forward predict changing

Language: Английский

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Phytoplankton niches, traits and eco-evolutionary responses to global environmental change

Marine Ecology Progress Series, Journal Year: 2012, Volume and Issue: 470, P. 235 - 248

Published: July 6, 2012

MEPS Marine Ecology Progress Series Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout JournalEditorsTheme Sections 470:235-248 (2012) - DOI: https://doi.org/10.3354/meps09912 Phytoplankton niches, traits and eco-evolutionary responses global environmental change Elena Litchman1,2,*, Kyle F. Edwards1, Christopher A. Klausmeier1,2, Mridul K. Thomas1 1Michigan State University, Kellogg Biological Station, Hickory Corners, Michigan 49060, USA 2Centre for Ocean Life Section of Climate, DTU Aqua, 2920 Charlottenlund, Denmark *Email: [email protected] ABSTRACT: are major primary producers in aquatic ecosystems sensitive various aspects change. They can respond through phenotypic plasticity, species sorting, genetic adaptation, or a combination these processes. Here we present conceptual, experimental theoretical ways predict different phytoplankton Using ecological niches their multiple stressors is promising new approach. Functional phytoplankton, such as resource utilization tolerance curves factors like temperature, be used define along axes. Characterization pairwise higher dimension trade-offs among should help possible niche changes dimensions simultaneously. The potential evolutionary assessed using evolution experiments with individual strains, well communities, because may depend on presence competitors, grazers, parasites. pressures induced by have interactive effects and, thus, investigated Novel models trait community context provide additional insights into adaptation trajectories under diverse scenarios. KEY WORDS: Ecological · Climate Trait-based approach Trade-off Experimental Community Adaptive dynamics Full text pdf format PreviousNextCite this article as: Litchman E, Edwards KF, Klausmeier CA, Thomas MK Mar Ecol Prog Ser 470:235-248. Export citation Tweet linkedIn Cited Published Vol. 470. Online publication date: December 06, 2012 Print ISSN: 0171-8630; 1616-1599 Copyright © Inter-Research.

Language: Английский

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Linking zooplankton communities to ecosystem functioning: toward an effect-trait framework

Journal of Plankton Research, Journal Year: 2016, Volume and Issue: 39(1), P. 3 - 12

Published: Sept. 10, 2016

The renewed interest in trait-based approaches has offered a stimulating, conceptual framework for predicting species distributions, assessing community composition and determining biodiversity–ecosystem linkages. However, despite previous attempts to clarify trait terminology its application, selecting ecologically meaningful traits that mechanistically link levels of biological organization remains challenge aquatic ecology. Response can be used capture assembly processes along environmental gradients, while effect hold the potential predict ecosystem functions. Although related organismal physiology body best allow extrapolation from individuals processes, such are still rarely incorporated within plankton functional or classifications numerous reasons. Synthesizing current knowledge on zooplankton, we call better implementation metrics as descriptors structure. We then capitalize concepts bioenergetics ecology propose hierarchical zooplankton classification, identifying key fulfilling functions linking these likely influenced. Our provides insight regarding trade-offs, with implications feedbacks ecosystems, aiming bridge gap between biogeochemistry.

Language: Английский

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