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The response of mature forest ecosystems to a rising atmospheric carbon dioxide concentration (span classCombining double low line"inline-formula"iC/ia/span) is a major uncertainty in projecting the future trajectory of the Earth's climate. Although leaf-level net photosynthesis is typically stimulated by exposure to elevated span classCombining double low line"inline-formula"iC/ia/span (espan classCombining double low line"inline-formula"iC/ia/span), it is unclear how this stimulation translates into carbon cycle responses at the ecosystem scale. Here we estimate a key component of the carbon cycle, the gross primary productivity (GPP), of a mature native eucalypt forest exposed to free-air span classCombining double low line"inline-formula"CO2/span enrichment (the EucFACE experiment). In this experiment, light-saturated leaf photosynthesis increased by 19andthinsp;% in response to a 38andthinsp;% increase in span classCombining double low line"inline-formula"iC/ia/span. We used the process-based forest canopy model, MAESPA, to upscale these leaf-level measurements of photosynthesis with canopy structure to estimate the GPP and its response to espan classCombining double low line"inline-formula"iC/ia/span. We assessed the direct impact of espan classCombining double low line"inline-formula"iC/ia/span, as well as the indirect effect of photosynthetic acclimation to espan classCombining double low line"inline-formula"iC/ia/span and variability among treatment plots using different model scenarios./p At the canopy scale, MAESPA estimated a GPP of 1574andthinsp;gandthinsp;Candthinsp;mspan classCombining double low line"inline-formula"-2/spanandthinsp;yrspan classCombining double low line"inline-formula"-1/span under ambient conditions across 4 years and a direct increase in the GPP of span classCombining double low line"inline-formula"+/span11andthinsp;% in response to espan classCombining double low line"inline-formula"iC/ia/span. The smaller canopy-scale response simulated by the model, as compared with the leaf-level response, could be attributed to the prevalence of RuBP regeneration limitation of leaf photosynthesis within the canopy. Photosynthetic acclimation reduced this estimated response to 10andthinsp;%. After taking the baseline variability in the leaf area index across plots in account, we estimated a field GPP response to espan classCombining double low line"inline-formula"iC/ia/span of 6andthinsp;% with a 95andthinsp;% confidence interval (span classCombining double low line"inline-formula"-/span2andthinsp;%, 14andthinsp;%). These findings highlight that the GPP response of mature forests to espan classCombining double low line"inline-formula"iC/ia/span is likely to be considerably lower than the response of light-saturated leaf photosynthesis. Our results provide an important context for interpreting the espan classCombining double low line"inline-formula"iC/ia/span responses of other components of the ecosystem carbon cycle. © Author(s) 2020. Martin G. De Kauwe was supported by the NSW Research Attraction and Acceleration Program (RAAP). Euc-FACE was built as an initiative of the Australian Government as part of the Nation Building Economic Stimulus Plan and is supported by the Australian Commonwealth in collaboration with Western Sydney University.

Póster presentado en el XIM4 4th Xylem International Meeting Padua, 25-27 September 2019

Summary: Leaf dark respiration (R dark ) is an important yet poorly quantified component of the global carbon cycle. Given this, we analyzed a new global database of R dark and associated leaf traits. Data for 899 species were compiled from 100 sites (from the Arctic to the tropics). Several woody and nonwoody plant functional types (PFTs) were represented. Mixed-effects models were used to disentangle sources of variation in R dark . Area-based R dark at the prevailing average daily growth temperature (T) of each site increased only twofold from the Arctic to the tropics, despite a 20°C increase in growing T (8-28°C). By contrast, R dark at a standard T (25°C, R dark 25 ) was threefold higher in the Arctic than in the tropics, and twofold higher at arid than at mesic sites. Species and PFTs at cold sites exhibited higher R dark 25 at a given photosynthetic capacity (V cmax 25 ) or leaf nitrogen concentration ([N]) than species at warmer sites. R dark 25 values at any given V cmax 25 or [N] were higher in herbs than in woody plants. The results highlight variation in R dark among species and across global gradients in T and aridity. In addition to their ecological significance, the results provide a framework for improving representation of R dark in terrestrial biosphere models (TBMs) and associated land-surface components of Earth system models (ESMs). © 2015 New Phytologist Trust.

Plant traits – the morphological, anatomical, physiological, biochemical and phenological characteristics of plants and their organs – determine how primary producers respond to environmental factors, affect other trophic levels, influence ecosystem processes and services and provide a link from species richness to ecosystem functional diversity. Trait data thus represent the raw material for a wide range of research from evolutionary biology, community and functional ecology to biogeography. Here we present the global database initiative named TRY, which has united a wide range of the plant trait research community worldwide and gained an unprecedented buy-in of trait data: so far 93 trait databases have been contributed. The data repository currently contains almost three million trait entries for 69 000 out of the world's 300 000 plant species, with a focus on 52 groups of traits characterizing the vegetative and regeneration stages of the plant life cycle, including growth, dispersal, establishment and persistence. A first data analysis shows that most plant traits are approximately log-normally distributed, with widely differing ranges of variation across traits. Most trait variation is between species (interspecific), but significant intraspecific variation is also documented, up to 40% of the overall variation. Plant functional types (PFTs), as commonly used in vegetation models, capture a substantial fraction of the observed variation – but for several traits most variation occurs within PFTs, up to 75% of the overall variation. In the context of vegetation models these traits would better be represented by state variables rather than fixed parameter values. The improved availability of plant trait data in the unified global database is expected to support a paradigm shift from species to trait-based ecology, offer new opportunities for synthetic plant trait research and enable a more realistic and empirically grounded representation of terrestrial vegetation in Earth system models.

International audience

13 páginas.- 7 figuras.- 92 referencias, The mechanisms by which woody plants recover xylem hydraulic capacity after drought stress are not well understood, particularly with regard to the role of embolism refilling. We evaluated the recovery of xylem hydraulic capacity in young Eucalyptus saligna plants exposed to cycles of drought stress and rewatering. Plants were exposed to moderate and severe drought stress treatments, with recovery monitored at time intervals from 24 h to 6 months after rewatering. The percentage loss of xylem vessels due to embolism (PLV) was quantified at each time point using microcomputed tomography with stem water potential (Ψx) and canopy transpiration (Ec) measured before scans. Plants exposed to severe drought stress suffered high levels of embolism (47.38% ± 10.97% PLV) and almost complete canopy loss. No evidence of embolism refilling was observed at 24 h, 1 week, or 3 weeks after rewatering despite rapid recovery in Ψx. Recovery of hydraulic capacity was achieved over a 6-month period by growth of new xylem tissue, with canopy leaf area and Ec recovering over the same period. These findings indicate that E. saligna recovers slowly from severe drought stress, with potential for embolism to persist in the xylem for many months after rainfall events. © 2022 John Wiley & Sons Ltd., This study was supported by an ARC Discovery Project (DP170100761) to BC and TJB and an ARC Future Fellowship (FT130101115) to BC. BM acknowledges support from the ARC Laureate Fellowship FL190100003. CMR‐D was supported by an Individual Fellowship from the European Union's Horizon 2020 research and innovation program under the Marie Skłodowska‐Curie grant agreement no. 751918‐AgroPHYS. JMRP was supported by the ORNL, managed by UT‐Battelle, LLC, for the DOE under contract DE‐AC05‐1008 00OR22725.

14 páginas.- 6 figuras.- referencias.- Additional Supporting Information may be found online in the Supporting Information section at the end of the article https://nph.onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1111%2Fnph.16746&file=nph16746-sup-0001-SupInfo.pdf, Hydraulic failure of the plant vascular system is a principal cause of forest die-off under drought. Accurate quantification of this process is essential to our understanding of the physiological mechanisms underpinning plant mortality. Imaging techniques increasingly are applied to estimate xylem cavitation resistance. These techniques allow forin situmeasurement of embolism formation in real time, although the benefits and trade-offs associated with different techniques have not been evaluated in detail. Here we compare two imaging methods, microcomputed tomography (microCT) and optical vulnerability (OV), to standard hydraulic methods for measurement of cavitation resistance in seven woody species representing a diversity of major phylogenetic and xylem anatomical groups. Across the seven species, there was strong agreement between cavitation resistance values (P-50) estimated from visualization techniques (microCT and OV) and between visual techniques and hydraulic techniques. The results indicate that visual techniques provide accurate estimates of cavitation resistance and the degree to which xylem hydraulic function is impacted by embolism. Results are discussed in the context of trade-offs associated with each technique and possible causes of discrepancy between estimates of cavitation resistance provided by visual and hydraulic techniques., This work was supported by an ARC Discovery Projec t(DP170100761) to BC and TJB and an ARC Future Fellowship (FT130101115) to BC. We thank Daniel Hausermann, ChrisHall and Anton Maksimenko from the Australian SynchrotronImaging and Medical Beamline in Melbourne for assisting withthe micro-computed tomography methodology, as well as thetechnical staff at SOLEIL. Travel funding for AG to attendbeamtime at SOLEIL was provided by the International Syn-chrotron Access Program (ISAP) managed by the Australian Syn-chrotron. CMR-D was supported by an Individual Fellowshipfrom the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agree-ment no. 751918-AgroPHYS

Owen K. Atkin [et al.].- Received: 8 July 2014, Accepted: 29 November 2014, Leaf dark respiration (Rdark) is an important yet poorly quantified component of the global carbon cycle. Given this, we analyzed a new global database of Rdark and associated leaf traits., Data for 899 species were compiled from 100 sites (from the Arctic to the tropics). Several woody and nonwoody plant functional types (PFTs) were represented. Mixed-effects models were used to disentangle sources of variation in Rdark., Area-based Rdark at the prevailing average daily growth temperature (T) of each site increased only twofold from the Arctic to the tropics, despite a 20°C increase in growing T (8–28°C). By contrast, Rdark at a standard T (25°C, Rdark25) was threefold higher in the Arctic than in the tropics, and twofold higher at arid than at mesic sites. Species and PFTs at cold sites exhibited higher Rdark25 at a given photosynthetic capacity (Vcmax25) or leaf nitrogen concentration ([N]) than species at warmer sites. Rdark25 values at any given Vcmax25 or [N] were higher in herbs than in woody plants., The results highlight variation in Rdark among species and across global gradients in T and aridity. In addition to their ecological significance, the results provide a framework for improving representation of Rdark in terrestrial biosphere models (TBMs) and associated land-surface components of Earth system models (ESMs).