Influences of traits and processes on productivity and functional composition in grasslands: A modeling study

DC FieldValueLanguage
dc.contributor.authorSchmid, Julia S.
dc.contributor.authorHuth, Andreas
dc.contributor.authorTaubert, Franziska
dc.date.accessioned2021-12-23T16:15:57Z-
dc.date.available2021-12-23T16:15:57Z-
dc.date.issued2021
dc.identifier.issn03043800
dc.identifier.urihttps://osnascholar.ub.uni-osnabrueck.de/handle/unios/11659-
dc.description.abstractGrasslands are an important habitat for many plant species whose functional diversity and composition influences ecosystem functioning and services. Despite several field studies, still uncertainties remain about the interplay of species traits and ecosystem processes that lead to the functional diversity observed in grasslands. Here, we used an individual-based process-oriented model to simulate a biodiversity field experiment located in Central Europe. With the focus on plant functional types (PFT), the simulation model well reproduced vegetation attributes of grassland communities at different diversity levels (of up to four PFTs of grasses, small herbs, tall herbs and legumes). To understand how plant traits and competition between plants affects the functional composition of grasslands, we tested in a simulation study the impact of different ecosystem processes and detected sensitive plant traits. According to our model results, competition for space affects community productivity stronger than competition for light. While some traits increase and strengthen the growth of plants, other functional traits make plants stronger through advantages in demographic processes. Our model-based findings can be substantiated by several independent field studies in terms of relative yield, plant density, plant biomass and life span of plant functional types. The methods and analyses shown here represent a promising step for the development of grassland models to investigate the complex structures and dynamics of temperate grasslands in complement to field studies.
dc.description.sponsorshipFederal Ministry of Food and Agriculture (BMEL) via the Federal Office for Agriculture and Food (BLE); The project is supported (was supported) by funds of the Federal Ministry of Food and Agriculture (BMEL) based on a decision of the Parliament of the Federal Republic of Germany via the Federal Office for Agriculture and Food (BLE) under the innovation support program.
dc.language.isoen
dc.publisherELSEVIER
dc.relation.ispartofECOLOGICAL MODELLING
dc.subjectBIODIVERSITY
dc.subjectCOMMUNITIES
dc.subjectCompetition
dc.subjectDIVERSITY
dc.subjectEcology
dc.subjectEnvironmental Sciences & Ecology
dc.subjectFERTILIZATION
dc.subjectFunctional composition
dc.subjectIndividual-based modeling
dc.subjectLAND-USE
dc.subjectNITROGEN
dc.subjectPlant functional types
dc.subjectPlant traits
dc.subjectPLANT-SPECIES RICHNESS
dc.subjectPLASTICITY
dc.subjectRESPONSES
dc.subjectTemperate grassland
dc.subjectVARIABILITY
dc.titleInfluences of traits and processes on productivity and functional composition in grasslands: A modeling study
dc.typejournal article
dc.identifier.doi10.1016/j.ecolmodel.2020.109395
dc.identifier.isiISI:000612041200003
dc.description.volume440
dc.contributor.orcid0000-0003-2378-8980
dc.identifier.eissn18727026
dc.publisher.placeRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
dcterms.isPartOf.abbreviationEcol. Model.
dcterms.oaStatushybrid
crisitem.author.deptInstitut für Umweltsystemforschung-
crisitem.author.deptidresearchcenter5-
crisitem.author.parentorgUniversität Osnabrück-
crisitem.author.netidHuAn907-
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