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      Responses of LAI to rainfall explain contrasting sensitivities to carbon uptake between forest and non-forest ecosystems in Australia

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          Abstract

          Non-forest ecosystems (predominant in semi-arid and arid regions) contribute significantly to the increasing trend and interannual variation of land carbon uptake over the last three decades, yet the mechanisms are poorly understood. By analysing the flux measurements from 23 ecosystems in Australia, we found the the correlation between gross primary production (GPP) and ecosystem respiration (R e) was significant for non-forest ecosystems, but was not for forests. In non-forest ecosystems, both GPP and R e increased with rainfall, and, consequently net ecosystem production (NEP) increased with rainfall. In forest ecosystems, GPP and R e were insensitive to rainfall. Furthermore sensitivity of GPP to rainfall was dominated by the rainfall-driven variation of LAI rather GPP per unit LAI in non-forest ecosystems, which was not correctly reproduced by current land models, indicating that the mechanisms underlying the response of LAI to rainfall should be targeted for future model development.

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          World Map of the Köppen-Geiger climate classification updated

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            Variation among biomes in temporal dynamics of aboveground primary production.

            Interannual variability in aboveground net primary production (ANPP) was assessed with long-term (mean = 12 years) data from 11 Long Term Ecological Research sites across North America. The greatest interannual variability in ANPP occurred in grasslands and old fields, with forests the least variable. At a continental scale, ANPP was strongly correlated with annual precipitation. However, interannual variability in ANPP was not related to variability in precipitation. Instead, maximum variability in ANPP occurred in biomes where high potential growth rates of herbaceous vegetation were combined with moderate variability in precipitation. In the most dynamic biomes, ANPP responded more strongly to wet than to dry years. Recognition of the fourfold range in ANPP dynamics across biomes and of the factors that constrain this variability is critical for detecting the biotic impacts of global change phenomena.
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              Recent trends and drivers of regional sources and sinks of carbon dioxide

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                Author and article information

                Contributors
                lilhchn@gmail.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                15 September 2017
                15 September 2017
                2017
                : 7
                : 11720
                Affiliations
                [1 ]ISNI 0000 0004 1936 7611, GRID grid.117476.2, School of Life Sciences, University of Technology Sydney, ; Sydney, Australia
                [2 ]ISNI 0000 0001 1014 7864, GRID grid.458495.1, Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, South China Botanical Garden, Chinese Academy of Sciences, ; Guangzhou, 510650 China
                [3 ]China and CSIRO Oceans and Atmosphere, PMB 1, Aspendale, Victoria 3195 Australia
                [4 ]ISNI 0000 0004 1936 7910, GRID grid.1012.2, School of Earth and Environment, the University of Western Australia, ; Crawley, Australia
                [5 ]GRID grid.469914.7, CSIRO, Land and Water, ; Canberra, Australia
                [6 ]ISNI 0000 0001 2157 559X, GRID grid.1043.6, Research Institute for the Environment and Livelihoods, Charles Darwin University, ; Casuarina, Australia
                [7 ]ISNI 0000 0001 2256 9319, GRID grid.11135.37, Peking University, ; Beijing, China
                [8 ]ISNI 0000 0004 1760 4150, GRID grid.144022.1, State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A & F University, ; Yangling, 712100 China
                Author information
                http://orcid.org/0000-0002-4614-6203
                http://orcid.org/0000-0002-2731-7150
                http://orcid.org/0000-0002-5298-9573
                http://orcid.org/0000-0003-2765-8040
                http://orcid.org/0000-0001-5533-9886
                http://orcid.org/0000-0002-0442-5730
                http://orcid.org/0000-0002-3562-2323
                Article
                11063
                10.1038/s41598-017-11063-w
                5601939
                28916760
                194abefa-bb5c-49c5-9a89-6ee5aca87cd9
                © The Author(s) 2017

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 30 August 2016
                : 11 August 2017
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