Shifting impacts of climate change : long-term patterns of plant response to elevated CO2, drought, and warming across ecosystems
Andresen, Louise C. (University of Gothenburg)
Müller, Christoph (University of Gothenburg)
de Dato, Giovanbattista (University College Dublin. School of Biology and Environmental Science)
Dukes, Jeffrey (Purdue University)
Emmett, Bridget (Center for Ecology and Hydrology)
Estiarte, Marc (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Jentsch, Anke (Bayreuther Zentrum für Ökologie und Umweltforschung)
Kröel-Dulay, György (MTA Ökológiai Kutatóközpont)
Lüscher, Andreas (ETH Zürich. Institut für Agrarwissenschaften)
Niu, Shuli (Agroscope. Institute for Sustainability Sciences)
Peñuelas, Josep (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Reich, Peter (University of Minnesota)
Reinsch, Sabine (Center for Ecology and Hydrology)
Ogaya Inurrigarro, Romà (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Schmidt, Inger Kappel (Københavns universitet)
Schneider, Manuel K. (ETH Zürich. Institut für Agrarwissenschaften)
Sternberg, Marcelo (Tel Aviv University)
Tietema, Albert (Universiteit van Amsterdam)
Zhu, Kai (Rice University)
Bilton, Mark C. (Universität Tübingen)

Fecha:	2016
Resumen:	Field experiments that expose terrestrial ecosystems to climate change factors by manipulations are expensive to maintain, and typically only last a few years. Plant biomass is commonly used to assess responses to climate treatments and to predict climate change impacts. However, response to the treatments might be considerably different between the early years and a decade later. The aim of this data analysis was to develop and apply a method for evaluating changes in plant biomass responses through time, in order to provide a firm basis for discussing how the 'short-term' response might differ from the 'long-term' response. Across 22 sites situated in the northern hemisphere, which covered three continents, and multiple ecosystems (grasslands, shrublands, moorlands, forests, and deserts), we evaluated biomass datasets from long-term experiments with exposure to elevated CO2 (eCO2), warming, or drought. We developed methods for assessing biomass response patterns to the manipulations using polynomial and linear (piecewise) model analysis and linked the responses to site-specific variables such as temperature and rainfall. Polynomial patterns across sites indicated changes in response direction over time under eCO2, warming, and drought. In addition, five distinct pattern types were confirmed within sites: 'no response', 'delayed response', 'directional response', 'dampening response', and 'altered response' patterns. We found that biomass response direction was as likely to change over time as it was to be consistent, and therefore suggest that climate manipulation experiments should be carried out over timescales covering both short- and long-term responses, in order to realistically assess future impacts of climate change.
Derechos:	Tots els drets reservats.
Lengua:	Anglès
Documento:	Article ; recerca ; Versió acceptada per publicar
Materia:	Response curve ; Log response ratio ; Long-term field experiments ; FACE ; Drought ; Warming ; ClimMani ; Break point analysis
Publicado en:	Advances in ecological research, Vol.55 (2016) , p. 437-473, ISSN 0065-2504

DOI: 10.1016/bs.aecr.2016.07.001

Post-print 44 p, 1.6 MB

El registro aparece en las colecciones:
Documentos de investigación > Documentos de los grupos de investigación de la UAB > Centros y grupos de investigación (producción científica) > Ciencias > CREAF (Centre de Recerca Ecològica i d'Aplicacions Forestals)
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