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      Latitudinal variation of leaf stomatal traits from species to community level in forests: linkage with ecosystem productivity

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          Abstract

          To explore the latitudinal variation of stomatal traits from species to community level and their linkage with net primary productivity (NPP), we investigated leaf stomatal density (SD L) and stomatal length (SL L) across 760 species from nine forest ecosystems in eastern China, and calculated the community-level SD (SD C) and SL (SL C) through species-specific leaf area index (LAI). Our results showed that latitudinal variation in species-level SD L and SL L was minimal, but community-level SD C and SL C decreased clearly with increasing latitude. The relationship between SD and SL was negative across species and different plant functional types (PFTs), but positive at the community level. Furthermore, community-level SD C correlated positively with forest NPP, and explained 51% of the variation in NPP. These findings indicate that the trade-off by regulating SD L and SL L may be an important strategy for plant individuals to adapt to environmental changes, and temperature acts as the main factor influencing community-level stomatal traits through alteration of species composition. Importantly, our findings provide new insight into the relationship between plant traits and ecosystem function.

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          The role of stomata in sensing and driving environmental change.

          Stomata, the small pores on the surfaces of leaves and stalks, regulate the flow of gases in and out of leaves and thus plants as a whole. They adapt to local and global changes on all timescales from minutes to millennia. Recent data from diverse fields are establishing their central importance to plant physiology, evolution and global ecology. Stomatal morphology, distribution and behaviour respond to a spectrum of signals, from intracellular signalling to global climatic change. Such concerted adaptation results from a web of control systems, reminiscent of a 'scale-free' network, whose untangling requires integrated approaches beyond those currently used.
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            Model selection for ecologists: the worldviews of AIC and BIC.

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              The emergence and promise of functional biogeography.

              Understanding, modeling, and predicting the impact of global change on ecosystem functioning across biogeographical gradients can benefit from enhanced capacity to represent biota as a continuous distribution of traits. However, this is a challenge for the field of biogeography historically grounded on the species concept. Here we focus on the newly emergent field of functional biogeography: the study of the geographic distribution of trait diversity across organizational levels. We show how functional biogeography bridges species-based biogeography and earth science to provide ideas and tools to help explain gradients in multifaceted diversity (including species, functional, and phylogenetic diversities), predict ecosystem functioning and services worldwide, and infuse regional and global conservation programs with a functional basis. Although much recent progress has been made possible because of the rising of multiple data streams, new developments in ecoinformatics, and new methodological advances, future directions should provide a theoretical and comprehensive framework for the scaling of biotic interactions across trophic levels and its ecological implications.
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                Author and article information

                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group
                2045-2322
                25 September 2015
                2015
                : 5
                : 14454
                Affiliations
                [1 ]Synthesis Research Center of Chinese Ecosystem Research Network, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences , Beijing 100101, China
                [2 ]University of Chinese Academy of Sciences , Beijing 100049, China
                [3 ]College of Life Sciences, Beijing Normal University , Beijing 100875, China
                Author notes
                Article
                srep14454
                10.1038/srep14454
                4585881
                26403303
                04411223-9f41-4e90-aec8-e094a6e53730
                Copyright © 2015, Macmillan Publishers Limited

                This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                History
                : 20 February 2015
                : 16 July 2015
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