TY  - JOUR
A1  - Jeltsch, Florian
A1  - Blaum, Niels
A1  - Brose, Ulrich
A1  - Chipperfield, Joseph D.
A1  - Clough, Yann
A1  - Farwig, Nina
A1  - Geissler, Katja
A1  - Graham, Catherine H.
A1  - Grimm, Volker
A1  - Hickler, Thomas
A1  - Huth, Andreas
A1  - May, Felix
A1  - Meyer, Katrin M.
A1  - Pagel, Jörn
A1  - Reineking, Björn
A1  - Rillig, Matthias C.
A1  - Shea, Katriona
A1  - Schurr, Frank Martin
A1  - Schroeder, Boris
A1  - Tielbörger, Katja
A1  - Weiss, Lina
A1  - Wiegand, Kerstin
A1  - Wiegand, Thorsten
A1  - Wirth, Christian
A1  - Zurell, Damaris
T1  - How can we bring together empiricists and modellers in functional biodiversity research?
JF  - Basic and applied ecology : Journal of the Gesellschaft für Ökologie
N2  - 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.
KW  - Biodiversity theory
KW  - Biodiversity experiments
KW  - Conservation management
KW  - Decision-making
KW  - Ecosystem functions and services
KW  - Forecasting
KW  - Functional traits
KW  - Global change
KW  - Monitoring programmes
KW  - Interdisciplinarity
Y1  - 2013
U6  - https://doi.org/10.1016/j.baae.2013.01.001
SN  - 1439-1791
VL  - 14
IS  - 2
SP  - 93
EP  - 101
PB  - Elsevier
CY  - Jena
ER  - 
TY  - JOUR
A1  - Kissling, W. D.
A1  - Dormann, Carsten F.
A1  - Groeneveld, Juergen
A1  - Hickler, Thomas
A1  - Kühn, Ingolf
A1  - McInerny, Greg J.
A1  - Montoya, Jose M.
A1  - Römermann, Christine
A1  - Schiffers, Katja
A1  - Schurr, Frank Martin
A1  - Singer, Alexander
A1  - Svenning, Jens-Christian
A1  - Zimmermann, Niklaus E.
A1  - O'Hara, Robert B.
T1  - Towards novel approaches to modelling biotic interactions in multispecies assemblages at large spatial extents
JF  - Journal of biogeography
N2  - Aim Biotic interactions within guilds or across trophic levels have widely been ignored in species distribution models (SDMs). This synthesis outlines the development of species interaction distribution models (SIDMs), which aim to incorporate multispecies interactions at large spatial extents using interaction matrices. Location Local to global. Methods We review recent approaches for extending classical SDMs to incorporate biotic interactions, and identify some methodological and conceptual limitations. To illustrate possible directions for conceptual advancement we explore three principal ways of modelling multispecies interactions using interaction matrices: simple qualitative linkages between species, quantitative interaction coefficients reflecting interaction strengths, and interactions mediated by interaction currencies. We explain methodological advancements for static interaction data and multispecies time series, and outline methods to reduce complexity when modelling multispecies interactions. Results Classical SDMs ignore biotic interactions and recent SDM extensions only include the unidirectional influence of one or a few species. However, novel methods using error matrices in multivariate regression models allow interactions between multiple species to be modelled explicitly with spatial co-occurrence data. If time series are available, multivariate versions of population dynamic models can be applied that account for the effects and relative importance of species interactions and environmental drivers. These methods need to be extended by incorporating the non-stationarity in interaction coefficients across space and time, and are challenged by the limited empirical knowledge on spatio-temporal variation in the existence and strength of species interactions. Model complexity may be reduced by: (1) using prior ecological knowledge to set a subset of interaction coefficients to zero, (2) modelling guilds and functional groups rather than individual species, and (3) modelling interaction currencies and species effect and response traits. Main conclusions There is great potential for developing novel approaches that incorporate multispecies interactions into the projection of species distributions and community structure at large spatial extents. Progress can be made by: (1) developing statistical models with interaction matrices for multispecies co-occurrence datasets across large-scale environmental gradients, (2) testing the potential and limitations of methods for complexity reduction, and (3) sampling and monitoring comprehensive spatio-temporal data on biotic interactions in multispecies communities.
KW  - Community ecology
KW  - ecological networks
KW  - global change
KW  - guild assembly
KW  - multidimensional complexity
KW  - niche theory
KW  - prediction
KW  - species distribution model
KW  - species interactions
KW  - trait-based community modules
Y1  - 2012
U6  - https://doi.org/10.1111/j.1365-2699.2011.02663.x
SN  - 0305-0270
VL  - 39
IS  - 12
SP  - 2163
EP  - 2178
PB  - Wiley-Blackwell
CY  - Hoboken
ER  - 
TY  - JOUR
A1  - Radchuk, Viktoriia
A1  - Reed, Thomas
A1  - Teplitsky, Celine
A1  - van de Pol, Martijn
A1  - Charmantier, Anne
A1  - Hassall, Christopher
A1  - Adamik, Peter
A1  - Adriaensen, Frank
A1  - Ahola, Markus P.
A1  - Arcese, Peter
A1  - Miguel Aviles, Jesus
A1  - Balbontin, Javier
A1  - Berg, Karl S.
A1  - Borras, Antoni
A1  - Burthe, Sarah
A1  - Clobert, Jean
A1  - Dehnhard, Nina
A1  - de Lope, Florentino
A1  - Dhondt, Andre A.
A1  - Dingemanse, Niels J.
A1  - Doi, Hideyuki
A1  - Eeva, Tapio
A1  - Fickel, Jörns
A1  - Filella, Iolanda
A1  - Fossoy, Frode
A1  - Goodenough, Anne E.
A1  - Hall, Stephen J. G.
A1  - Hansson, Bengt
A1  - Harris, Michael
A1  - Hasselquist, Dennis
A1  - Hickler, Thomas
A1  - Jasmin Radha, Jasmin
A1  - Kharouba, Heather
A1  - Gabriel Martinez, Juan
A1  - Mihoub, Jean-Baptiste
A1  - Mills, James A.
A1  - Molina-Morales, Mercedes
A1  - Moksnes, Arne
A1  - Ozgul, Arpat
A1  - Parejo, Deseada
A1  - Pilard, Philippe
A1  - Poisbleau, Maud
A1  - Rousset, Francois
A1  - Rödel, Mark-Oliver
A1  - Scott, David
A1  - Carlos Senar, Juan
A1  - Stefanescu, Constanti
A1  - Stokke, Bard G.
A1  - Kusano, Tamotsu
A1  - Tarka, Maja
A1  - Tarwater, Corey E.
A1  - Thonicke, Kirsten
A1  - Thorley, Jack
A1  - Wilting, Andreas
A1  - Tryjanowski, Piotr
A1  - Merila, Juha
A1  - Sheldon, Ben C.
A1  - Moller, Anders Pape
A1  - Matthysen, Erik
A1  - Janzen, Fredric
A1  - Dobson, F. Stephen
A1  - Visser, Marcel E.
A1  - Beissinger, Steven R.
A1  - Courtiol, Alexandre
A1  - Kramer-Schadt, Stephanie
T1  - Adaptive responses of animals to climate change are most likely insufficient
JF  - Nature Communications
N2  - Biological responses to climate change have been widely documented across taxa and regions, but it remains unclear whether species are maintaining a good match between phenotype and environment, i.e. whether observed trait changes are adaptive. Here we reviewed 10,090 abstracts and extracted data from 71 studies reported in 58 relevant publications, to assess quantitatively whether phenotypic trait changes associated with climate change are adaptive in animals. A meta-analysis focussing on birds, the taxon best represented in our dataset, suggests that global warming has not systematically affected morphological traits, but has advanced phenological traits. We demonstrate that these advances are adaptive for some species, but imperfect as evidenced by the observed consistent selection for earlier timing. Application of a theoretical model indicates that the evolutionary load imposed by incomplete adaptive responses to ongoing climate change may already be threatening the persistence of species.
Y1  - 2019
U6  - https://doi.org/10.1038/s41467-019-10924-4
SN  - 2041-1723
VL  - 10
PB  - Nature Publ. Group
CY  - London
ER  - 
TY  - JOUR
A1  - Svenning, Jens-Christian
A1  - Gravel, Dominique
A1  - Holt, Robert D.
A1  - Schurr, Frank Martin
A1  - Thuiller, Wilfried
A1  - Muenkemueller, Tamara
A1  - Schiffers, Katja H.
A1  - Dullinger, Stefan
A1  - Edwards, Thomas C.
A1  - Hickler, Thomas
A1  - Higgins, Steven I.
A1  - Nabel, Julia E. M. S.
A1  - Pagel, Jörn
A1  - Normand, Signe
T1  - The influence of interspecific interactions on species range expansion rates
JF  - Ecography : pattern and diversity in ecology ; research papers forum
Y1  - 2014
U6  - https://doi.org/10.1111/j.1600-0587.2013.00574.x
SN  - 0906-7590
SN  - 1600-0587
VL  - 37
IS  - 12
SP  - 1198
EP  - 1209
PB  - Wiley-Blackwell
CY  - Hoboken
ER  - 
TY  - JOUR
A1  - Thuiller, Wilfried
A1  - Albert, Cécile H.
A1  - Araújo, Miguel B.
A1  - Berry, Pam M.
A1  - Cabeza, Mar
A1  - Guisan, Antoine
A1  - Hickler, Thomas
A1  - Midgley, Guy F.
A1  - Paterson, James
A1  - Schurr, Frank Martin
A1  - Sykes, Martin T.
A1  - Zimmermann, Niklaus E.
T1  - Predicting global change impacts on plant species' distributions : future challenges
Y1  - 2008
U6  - https://doi.org/10.1016/j.ppees.2007.09.004
SN  - 1433-8319
ER  -