Meyer, Katrin Mareike

[["dc.bibliographiccitation.firstpage","93"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Basic and Applied Ecology"],["dc.bibliographiccitation.lastpage","101"],["dc.bibliographiccitation.volume","14"],["dc.contributor.author","Jeltsch, Florian"],["dc.contributor.author","Blaum, Niels"],["dc.contributor.author","Brose, Ulrich"],["dc.contributor.author","Chipperfield, Joseph D."],["dc.contributor.author","Clough, Yann"],["dc.contributor.author","Farwig, Nina"],["dc.contributor.author","Geissler, Katja"],["dc.contributor.author","Graham, Catherine H."],["dc.contributor.author","Grimm, Volker"],["dc.contributor.author","Hickler, Thomas"],["dc.contributor.author","Huth, Andreas"],["dc.contributor.author","May, Felix"],["dc.contributor.author","Meyer, Katrin M."],["dc.contributor.author","Pagel, Jörn"],["dc.contributor.author","Reineking, Björn"],["dc.contributor.author","Rillig, Matthias C."],["dc.contributor.author","Shea, Katriona"],["dc.contributor.author","Schurr, Frank M."],["dc.contributor.author","Schröder, Boris"],["dc.contributor.author","Tielbörger, Katja"],["dc.contributor.author","Weiss, Lina"],["dc.contributor.author","Wiegand, Kerstin"],["dc.contributor.author","Wiegand, Thorsten"],["dc.contributor.author","Wirth, Christian"],["dc.contributor.author","Zurell, Damaris"],["dc.date.accessioned","2017-09-07T11:52:18Z"],["dc.date.available","2017-09-07T11:52:18Z"],["dc.date.issued","2013"],["dc.description.abstract","Improving our understanding of biodiversity and ecosystem functioning and our capacity to inform ecosystem management requires an integrated framework for functional biodiversity research (FBR). However, adequate integration among empirical approaches (monitoring and experimental) and modelling has rarely been achieved in FBR. We offer an appraisal of the issues involved and chart a course towards enhanced integration. A major element of this path is the joint orientation towards the continuous refinement of a theoretical framework for FBR that links theory testing and generalization with applied research oriented towards the conservation of biodiversity and ecosystem functioning. We further emphasize existing decision-making frameworks as suitable instruments to practically merge these different aims of FBR and bring them into application. This integrated framework requires joint research planning, and should improve communication and stimulate collaboration between modellers and empiricists, thereby overcoming existing reservations and prejudices. The implementation of this integrative research agenda for FBR requires an adaptation in most national and international funding schemes in order to accommodate such joint teams and their more complex structures and data needs. {\\textcopyright} 2013 Gesellschaft f{\\\"{u}}r {\\\"{O}}kologie."],["dc.identifier.doi","10.1016/j.baae.2013.01.001"],["dc.identifier.gro","3148895"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/5533"],["dc.language.iso","en"],["dc.notes.intern","Wiegand Crossref Import"],["dc.notes.status","public"],["dc.notes.submitter","chake"],["dc.relation.issn","1439-1791"],["dc.relation.orgunit","Abteilung Ökosystemmodellierung"],["dc.subject.gro","Biodiversity experiments"],["dc.subject.gro","Biodiversity theory"],["dc.subject.gro","Conservation management"],["dc.subject.gro","Decision-making"],["dc.subject.gro","Ecosystem functions and services"],["dc.subject.gro","Forecasting"],["dc.subject.gro","Functional traits"],["dc.subject.gro","Global change"],["dc.subject.gro","Interdisciplinarity"],["dc.subject.gro","Monitoring programmes"],["dc.title","How can we bring together empiricists and modellers in functional biodiversity research?"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","no"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","108703"],["dc.bibliographiccitation.journal","Ecological Modelling"],["dc.bibliographiccitation.volume","407"],["dc.contributor.author","Zakharova, L."],["dc.contributor.author","Meyer, K. M."],["dc.contributor.author","Seifan, M."],["dc.date.accessioned","2020-12-08T07:28:14Z"],["dc.date.available","2020-12-08T07:28:14Z"],["dc.date.issued","2019"],["dc.description.abstract","Trait-based approaches are an alternative to species-based approaches for functionally linking individual organisms with community structure and dynamics. In the trait-based approach, rather than focusing on the species identity of the organism, the focus is on the organism traits, which represent their physiological, morphological, or life-history characteristics. Although used in ecological research for several decades, this approach only emerged in ecological modelling about twenty years ago. We review this rise of trait-based models and trace the occasional transfer of trait-based modelling concepts between terrestrial plant ecology, animal and microbial ecology, and aquatic ecology, discuss terminology of trait-based approaches and evaluate future implementation of trait-based models, including cross-discipline exchange. Trait-based models have a variety of purposes, such as predicting changes in community patterns under climate and land-use change, understand underlying mechanisms for community assemblies, planning and assessing conservation management, or studying invasion processes. In modelling, trait-based approaches can reduce technical challenges such as computational limitations, scaling problems, and data scarcity. However, we note inconsistencies in the current usage of terms in trait-based approaches and these inconsistencies must be resolved if trait-based concepts are to be easily exchanged between disciplines. Specifically, future trait-based models may further benefit from incorporating intraspecific trait variability and addressing more complex species interactions. We also recommend expanding the combination of trait-based approaches with individual-based modelling to simplify the parameterization of models, to capture plant-plant interactions at the individual level, and to explain community dynamics under global change."],["dc.identifier.doi","10.1016/j.ecolmodel.2019.05.008"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/69445"],["dc.language.iso","en"],["dc.relation.issn","0304-3800"],["dc.relation.orgunit","Abteilung Ökosystemmodellierung"],["dc.subject.gro","Functional traits"],["dc.subject.gro","Functional types"],["dc.subject.gro","Model types"],["dc.subject.gro","Trait-based approach"],["dc.subject.gro","Trait-based model"],["dc.subject.gro","Individual-based modelling"],["dc.title","Trait-based modelling in ecology: A review of two decades of research"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]