Globally consistent influences of seasonal precipitation limit grassland biomass response to elevated CO2 View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-02

AUTHORS

Mark J. Hovenden, Sebastian Leuzinger, Paul C. D. Newton, Andrew Fletcher, Simone Fatichi, Andreas Lüscher, Peter B. Reich, Louise C. Andresen, Claus Beier, Dana M. Blumenthal, Nona R. Chiariello, Jeffrey S. Dukes, Juliane Kellner, Kirsten Hofmockel, Pascal A. Niklaus, Jian Song, Shiqiang Wan, Aimée T. Classen, J. Adam Langley

ABSTRACT

Rising atmospheric carbon dioxide concentration should stimulate biomass production directly via biochemical stimulation of carbon assimilation, and indirectly via water savings caused by increased plant water-use efficiency. Because of these water savings, the CO2 fertilization effect (CFE) should be stronger at drier sites, yet large differences among experiments in grassland biomass response to elevated CO2 appear to be unrelated to annual precipitation, preventing useful generalizations. Here, we show that, as predicted, the impact of elevated CO2 on biomass production in 19 globally distributed temperate grassland experiments reduces as mean precipitation in seasons other than spring increases, but that it rises unexpectedly as mean spring precipitation increases. Moreover, because sites with high spring precipitation also tend to have high precipitation at other times, these effects of spring and non-spring precipitation on the CO2 response offset each other, constraining the response of ecosystem productivity to rising CO2. This explains why previous analyses were unable to discern a reliable trend between site dryness and the CFE. Thus, the CFE in temperate grasslands worldwide will be constrained by their natural rainfall seasonality such that the stimulation of biomass by rising CO2 could be substantially less than anticipated. More... »

PAGES

167-173

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41477-018-0356-x

DOI

http://dx.doi.org/10.1038/s41477-018-0356-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112021056

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30737508


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

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Turtle is a human-readable linked data format.

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RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41477-018-0356-x'


 

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