Benchmarking successional progress in a quantitative food web

dc.bibliographicCitation.firstPagee90404eng
dc.bibliographicCitation.issue2eng
dc.bibliographicCitation.journalTitlePLoS ONEeng
dc.bibliographicCitation.volume9eng
dc.contributor.authorBoit, A.
dc.contributor.authorGaedke, U.
dc.date.accessioned2020-08-01T15:36:12Z
dc.date.available2020-08-01T15:36:12Z
dc.date.issued2014
dc.description.abstractCentral to ecology and ecosystem management, succession theory aims to mechanistically explain and predict the assembly and development of ecological communities. Yet processes at lower hierarchical levels, e.g. at the species and functional group level, are rarely mechanistically linked to the under-investigated system-level processes which drive changes in ecosystem properties and functioning and are comparable across ecosystems. As a model system for secondary succession, seasonal plankton succession during the growing season is readily observable and largely driven autogenically. We used a long-term dataset from large, deep Lake Constance comprising biomasses, auto- and heterotrophic production, food quality, functional diversity, and mass-balanced food webs of the energy and nutrient flows between functional guilds of plankton and partly fish. Extracting population- and system-level indices from this dataset, we tested current hypotheses about the directionality of successional progress which are rooted in ecosystem theory, the metabolic theory of ecology, quantitative food web theory, thermodynamics, and information theory. Our results indicate that successional progress in Lake Constance is quantifiable, passing through predictable stages. Mean body mass, functional diversity, predator-prey weight ratios, trophic positions, system residence times of carbon and nutrients, and the complexity of the energy flow patterns increased during succession. In contrast, both the mass-specific metabolic activity and the system export decreased, while the succession rate exhibited a bimodal pattern. The weighted connectance introduced here represents a suitable index for assessing the evenness and interconnectedness of energy flows during succession. Diverging from earlier predictions, ascendency and eco-exergy did not increase during succession. Linking aspects of functional diversity to metabolic theory and food web complexity, we reconcile previously disjoint bodies of ecological theory to form a complete picture of successional progress within a pelagic food web. This comprehensive synthesis may be used as a benchmark for quantifying successional progress in other ecosystems.eng
dc.description.versionpublishedVersioneng
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/5293
dc.identifier.urihttps://doi.org/10.34657/3922
dc.language.isoengeng
dc.publisherSan Francisco, CA : Public Library of Science (PLoS)eng
dc.relation.doihttps://doi.org/10.1371/journal.pone.0090404
dc.relation.issn1932-6203
dc.rights.licenseCC BY 4.0 Unportedeng
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/eng
dc.subject.ddc550eng
dc.subject.othercarboneng
dc.subject.otherarticleeng
dc.subject.otherautotrophyeng
dc.subject.otherbiomasseng
dc.subject.otherbody masseng
dc.subject.othercontrolled studyeng
dc.subject.otherfisheng
dc.subject.otherfood qualityeng
dc.subject.otherfood webeng
dc.subject.otherheterotrophyeng
dc.subject.otherinformation scienceeng
dc.subject.otherlake ecosystemeng
dc.subject.othernonhumaneng
dc.subject.otherplanktoneng
dc.subject.otherquality controleng
dc.subject.othersecondary succession (community)eng
dc.subject.otherspecies diversityeng
dc.subject.otherthermodynamicseng
dc.subject.othertrophic leveleng
dc.subject.otherAlgorithmseng
dc.subject.otherAnimalseng
dc.subject.otherEcosystemeng
dc.subject.otherFood Chaineng
dc.subject.otherModels, Theoreticaleng
dc.titleBenchmarking successional progress in a quantitative food webeng
dc.typeArticleeng
dc.typeTexteng
tib.accessRightsopenAccesseng
wgl.contributorPIKeng
wgl.subjectUmweltwissenschafteneng
wgl.typeZeitschriftenartikeleng

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