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      Stable Water Use Efficiency of Tibetan Alpine Meadows in Past Half Century: Evidence from Wool δ 13C Values

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          Abstract

          Understanding the influences of climatic changes on water use efficiency (WUE) of Tibetan alpine meadows is important for predicting their long-term net primary productivity (NPP) because they are considered very sensitive to climate change. Here, we collected wool materials produced from 1962 to 2010 and investigated the long-term WUE of an alpine meadow in Tibet on basis of the carbon isotope values of vegetation ( δ 13C veg). The values of δ 13C veg decreased by 1.34‰ during 1962–2010, similar to changes in δ 13C values of atmospheric CO 2. Carbon isotope discrimination was highly variable and no trend was apparent in the past half century. Intrinsic water use efficiency ( W i ) increased by 18 μmol·mol –1 (approximately 23.5%) during 1962–2010 because the increase in the intercellular CO 2 concentration (46 μmol·mol –1) was less than that in the atmospheric CO 2 concentration ( C a , 73 μmol·mol –1). In addition, W i increased significantly with increasing growing season temperature and C a . However, effective water use efficiency ( W e ) remained relatively stable, because of increasing vapor pressure deficit. C a , precipitation, and growing season temperature collectively explained 45% of the variation of W e . Our findings indicate that the W e of alpine meadows in the Tibetan Plateau remained relatively stable by physiological adjustment to elevated C a and growing season temperature. These findings improve our understanding and the capacity to predict NPP of these ecosystems under global change scenarios.

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          Some relationships between the biochemistry of photosynthesis and the gas exchange of leaves.

          A series of experiments is presented investigating short term and long term changes of the nature of the response of rate of CO2 assimilation to intercellular p(CO2). The relationships between CO2 assimilation rate and biochemical components of leaf photosynthesis, such as ribulose-bisphosphate (RuP2) carboxylase-oxygenase activity and electron transport capacity are examined and related to current theory of CO2 assimilation in leaves of C3 species. It was found that the response of the rate of CO2 assimilation to irradiance, partial pressure of O2, p(O2), and temperature was different at low and high intercellular p(CO2), suggesting that CO2 assimilation rate is governed by different processes at low and high intercellular p(CO2). In longer term changes in CO2 assimilation rate, induced by different growth conditions, the initial slope of the response of CO2 assimilation rate to intercellular p(CO2) could be correlated to in vitro measurements of RuP2 carboxylase activity. Also, CO2 assimilation rate at high p(CO2) could be correlated to in vitro measurements of electron transport rate. These results are consistent with the hypothesis that CO2 assimilation rate is limited by the RuP2 saturated rate of the RuP2 carboxylase-oxygenase at low intercellular p(CO2) and by the rate allowed by RuP2 regeneration capacity at high intercellular p(CO2).
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            Rising atmospheric carbon dioxide: plants FACE the future.

            Atmospheric CO(2) concentration ([CO(2)]) is now higher than it was at any time in the past 26 million years and is expected to nearly double during this century. Terrestrial plants with the C(3) photosynthetic pathway respond in the short term to increased [CO(2)] via increased net photosynthesis and decreased transpiration. In the longer term this increase is often offset by downregulation of photosynthetic capacity. But much of what is currently known about plant responses to elevated [CO(2)] comes from enclosure studies, where the responses of plants may be modified by size constraints and the limited life-cycle stages that are examined. Free-Air CO(2) Enrichment (FACE) was developed as a means to grow plants in the field at controlled elevation of CO(2) under fully open-air field conditions. The findings of FACE experiments are quantitatively summarized via meta-analytic statistics and compared to findings from chamber studies. Although trends agree with parallel summaries of enclosure studies, important quantitative differences emerge that have important implications both for predicting the future terrestrial biosphere and understanding how crops may need to be adapted to the changed and changing atmosphere.
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              Primary production and rain use efficiency across a precipitation gradient on the Mongolia Plateau.

              Understanding how the aboveground net primary production (ANPP) of arid and semiarid ecosystems of the world responds to variations in precipitation is crucial for assessing the impacts of climate change on terrestrial ecosystems. Rain-use efficiency (RUE) is an important measure for acquiring this understanding. However, little is known about the response pattern of RUE for the largest contiguous natural grassland region of the world, the Eurasian Steppe. Here we investigated the spatial and temporal patterns of ANPP and RUE and their key driving factors based on a long-term data set from 21 natural arid and semiarid ecosystem sites across the Inner Mongolia steppe region in northern China. Our results showed that, with increasing mean annual precipitation (MAP), (1) ANPP increased while the interannual variability of ANPP declined, (2) plant species richness increased and the relative abundance of key functional groups shifted predictably, and (3) RUE increased in space across different ecosystems but decreased with increasing annual precipitation within a given ecosystem. These results clearly indicate that the patterns of both ANPP and RUE are scale dependent, and the seemingly conflicting patterns of RUE in space vs. time suggest distinctive underlying mechanisms, involving interactions among precipitation, soil N, and biotic factors. Also, while our results supported the existence of a common maximum RUE, they also indicated that its value could be substantially increased by altering resource availability, such as adding nitrogen. Our findings have important implications for understanding and predicting ecological impacts of global climate change and for management practices in arid and semiarid ecosystems in the Inner Mongolia steppe region and beyond.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                11 December 2015
                2015
                : 10
                : 12
                : e0144752
                Affiliations
                [001]Key Laboratory of Ecosystem Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
                University of Leipzig, GERMANY
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: HY. Performed the experiments: HY. Analyzed the data: HY NH YH. Contributed reagents/materials/analysis tools: HY NH YH. Wrote the paper: HY NH SL. Revised the manuscript: PS XZ.

                Article
                PONE-D-15-22275
                10.1371/journal.pone.0144752
                4676705
                26660306
                20b9d52c-b7db-425b-b8c6-99456df34a7a
                © 2015 Yang et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

                History
                : 24 May 2015
                : 23 November 2015
                Page count
                Figures: 4, Tables: 1, Pages: 13
                Funding
                This work was supported by Natural Sciences Foundation of China ( http://www.nsfc.gov.cn/) grants 31470506 (NH) and 31100336 (HY), and Knowledge Innovation Project of the Chinese Academy of Sciences ( http://english.igsnrr.cas.cn/) grant 201003011 (HY). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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