Kun-Fang Cao

Kun-Fang Cao

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Research Focus & Metrics

Academic Career Length

30Years (1997-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 September 2015 in New Phytologist
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SGSean M. Gleason
Sean M. Gleason
MWMark Westoby
Mark Westoby
SJSteven Jansen
Steven Jansen
BCBrendan Choat
Brendan Choat
UHUwe G. Hacke
Uwe G. Hacke
AZAmy E. Zanne
Amy E. Zanne
Summary: The evolution of lignified xylem allowed for the efficient transport of water under tension, but also exposed the vascular network to the risk of gas emboli and the spread of gas between xylem conduits, thus impeding sap transport to the leaves. A well‐known hypothesis proposes that the safety of xylem (its ability to resist embolism formation and spread) should trade off against xylem efficiency (its capacity to transport water). We tested this safety–efficiency hypothesis in branch xylem across 335 angiosperm and 89 gymnosperm species. Safety was considered at three levels: the xylem water potentials where 12%, 50% and 88% of maximal conductivity are lost. Although correlations between safety and efficiency were weak (r2 < 0.086), no species had high efficiency and high safety, supporting the idea for a safety–efficiency tradeoff. However, many species had low efficiency and low safety. Species with low efficiency and low safety were weakly associated (r2 < 0.02 in most cases) with higher wood density, lower leaf‐ to sapwood‐area and shorter stature. There appears to be no persuasive explanation for the considerable number of species with both low efficiency and low safety. These species represent a real challenge for understanding the evolution of xylem.

14 January 2016 in New Phytologist
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CRCatherine Roumet
Catherine Roumet
MBMarine Birouste
Marine Birouste
CPCatherine Picon‐Cochard
Catherine Picon‐Cochard
MGMurielle Ghestem
Murielle Ghestem
NONormaniza Osman
Normaniza Osman
ASAlexia Stokes
Alexia Stokes

17 October 2014 in Ecology Letters
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MBMegan K. Bartlett
Megan K. Bartlett
YZYa Zhang
Ya Zhang
NKNissa Kreidler
Nissa Kreidler
SSShanwen Sun
Shanwen Sun
RARico Ardy
Rico Ardy
LSLawren Sack
Lawren Sack

5 July 2012 in Methods in Ecology and Evolution
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MBMegan K. Bartlett
Megan K. Bartlett
CSChristine Scoffoni
Christine Scoffoni
RARico Ardy
Rico Ardy
YZYa Zhang
Ya Zhang
SSShanwen Sun
Shanwen Sun
LSLawren Sack
Lawren Sack
Summary: 1. Across plant species, drought tolerance and distributions with respect to water availability are strongly correlated with two physiological traits, the leaf water potential at wilting, that is, turgor loss point (πtlp), and the cell solute potential at full hydration, that is, osmotic potential (πo). We present methods to determine these parameters 30 times more rapidly than the standard pressure–volume (p–v) curve approach, making feasible community‐scale studies of plant drought tolerance.2. We optimized existing methods for measurements of πo using vapour‐pressure osmometry of freeze‐thawed leaf discs from 30 species growing in two precipitation regimes, and developed the first regression relationships to accurately estimate pressure–volume curve values of both πo and πtlp from osmometer values.3. The πo determined with the osmometer (πosm) was an excellent predictor of the πo determined from the p–v curve (πpv,r2 = 0·80). Although the correlation of πosm and πpv enabled prediction, the relationship departed from the 1 : 1 line. The discrepancy between the methods could be quantitatively accounted for by known sources of error in osmometer measurements, that is, dilution by the apoplastic water, and solute dissolution from destroyed cell walls. An even stronger prediction of πpv could be made using πosm, leaf density (ρ), and their interaction (r2 = 0·85, all P < 2 × 10−10).4. The πosm could also be used to predict πtlp (r2 = 0·86). Indeed, πosm was a better predictor of πtlp than leaf mass per unit area (LMA; r2 = 0·54), leaf thickness (T; r2 = 0·12), ρ (r2 = 0·63), and leaf dry matter content (LDMC; r2 = 0·60), which have been previously proposed as drought tolerance indicators. Models combining πosm with LMA, T, ρ, or LDMC or other p–v curve parameters (i.e. elasticity and apoplastic fraction) did not significantly improve prediction of πtlp.5. This osmometer method enables accurate measurements of drought tolerance traits across a wide range of leaf types and for plants with diverse habitat preferences, with a fraction of effort of previous methods. We expect it to have wide application for predicting species responses to climate variability and for assessing ecological and evolutionary variation in drought tolerance in natural populations and agricultural cultivars.

21 February 2018 in Tree Physiology
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SZShidan Zhu
Shidan Zhu
YCYa-Jun Chen
Ya-Jun Chen
QYQing Ye
Qing Ye
PHPeng-Cheng He
Peng-Cheng He
HLHui Liu
Hui Liu
KCKun-Fang Cao
Kun-Fang Cao
Leaf turgor loss point (πtlp) indicates the capacity of a plant to maintain cell turgor pressure during dehydration, which has been proven to be strongly predictive of the plant response to drought. In this study, we compiled a data set of πtlp for 1752 woody plant individuals belonging to 389 species from nine major woody biomes in China, along with reduced sample size of hydraulic and leaf carbon economics data. We aimed to investigate the variation of πtlp across biomes varying in water availability. We also tested two hypotheses: (i) πtlp predicts leaf hydraulic safety margins and (ii) it is correlated with leaf carbon economics traits. Our results showed that there was a positive relationship between πtlp and aridity index: biomes from humid regions had less negative values than those from arid regions. This supports the idea that πtlp may reflect drought tolerance at the scale of woody biomes. As expected, πtlp was significantly positively correlated with leaf hydraulic safety margins that varied significantly across biomes, indicating that this trait may be useful in modelling changes of forest components in response to increasing drought. Moreover, πtlp was correlated with a suite of coordinated hydraulic and economics traits; therefore, it can be used to predict the position of a given species along the ‘fast–slow’ whole-plant economics spectrum. This study expands our understanding of the biological significance of πtlp not only in drought tolerance, but also in the plant economics spectrum.

4 January 2012 in Journal of Ecology
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ZFZe-Xin Fan
Ze-Xin Fan
SZShi‐Bao Zhang
Shi‐Bao Zhang
Guang-You HaoGuang-You Hao
Guang-You Hao
JSJ.W. Ferry Slik
J.W. Ferry Slik
KCKun-Fang Cao
Kun-Fang Cao
Summary: 1. Stem xylem characteristics have a great impact on growth and adult stature of trees because of their role in mechanical support, long‐distance water transport and whole‐plant carbon allocation. Yet, despite the potential causal link between xylem traits and plant growth/adult stature, most studies have tried to link wood density, an indirect but easy to measure proxy for wood properties, to tree growth and size.2. To determine whether xylem traits outperform wood density as predictors of tree growth and stature, we evaluated the covariation among wood density, xylem anatomical traits, tree diameter growth rate and adult stature in 40 Asian tropical tree species through principal component analyses and through bivariate correlation, both across species and across phylogenetically independent contrasts.3. Vessel diameter exhibited a tight negative relationship with vessel frequency. Wood density showed a significant correlation with vessel diameter and density, but not with vessel fraction. Most correlations between functional traits indicate adaptive coordination, demonstrated by significant correlations between phylogenetically independent contrasts.4. Across species, diameter growth rate and adult stature were positively correlated with vessel lumen diameter and potential hydraulic conductivity, but not with wood density. Thus, our results suggest that xylem anatomical traits that are linked to hydraulic conductivity are better predictors of tree growth rate and adult stature than wood density.5. Synthesis. We found that xylem anatomical traits have a more significant influence on whole‐plant performance due to their direct association with stem hydraulic conductivity, whereas wood density is decoupled from hydraulic function due to complex variations in xylem components.