Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/29921
Title: Towards more predictive and interdisciplinary climate change ecosystem experiments
Authors: RINEAU, Francois 
MALINA, Robert 
BEENAERTS, Natalie 
ARNAUTS, Natascha 
Bardgett, Richard. D
Berg, Matty P.
Boerema, Annelies
BRUCKERS, Liesbeth 
CLERINX, Jan 
Davin, Edouard L.
De Boeck, Hans J.
De Dobbelaer, Tom
Dondini, Marta
De Laender, Frederik
Ellers, Jacintha
Franken, Oscar
Gilbert, Lucy
Gudmundsson, Lukas
Janssens, Ivan A.
Johnson, David
LIZIN, Sebastien 
Longdoz, Bernard
Meire, Patrick
Meremans, Dominique
Milbau, Ann
MORETTI, Michele 
Nijs, Ivan
NOBEL, Anne 
POP, Sorin 
Puetz, Thomas
REYNS, Wouter 
Roy, Jacques
SCHUETZ, Jochen 
Seneviratne, Sonia I.
Smith, Pete
SOLMI, Francesca 
Staes, Jan
Thiery, Wim
THIJS, Sofie 
Vanderkelen, Inne
Van Landuyt, Wouter
Verbruggen, Erik
WITTERS, Nele 
Zscheischler, Jakob
VANGRONSVELD, Jaco 
Issue Date: 2019
Publisher: NATURE PUBLISHING GROUP
Source: Nature Climate Change, 9, p. 809-816
Abstract: Despite great advances, experiments concerning the response of ecosystems to climate change still face considerable challenges, including the high complexity of climate change in terms of environmental variables, constraints in the number and amplitude of climate treatment levels, and the limited scope of responses and interactions covered. Drawing on the expertise of researchers from a variety of disciplines, this Perspective outlines how computational and technological advances can help in designing experiments that can contribute to overcoming these challenges, and also outlines a first application of such an experimental design.
Document URI: http://hdl.handle.net/1942/29921
ISSN: 1758-678X
e-ISSN: 1758-6798
DOI: 10.1038/s41558-019-0609-3
ISI #: WOS:000493735100012
Rights: 2019, Springer Nature
Category: A1
Type: Journal Contribution
Validations: ecoom 2020
Appears in Collections:Research publications

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