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

Scientific Reports

Volumn 5, Issue , 2015, Pages

  Wang, Ruili ^a,b   Yu, Guirui ^a   He, Nianpeng ^a   Wang, Qiufeng ^a   Zhao, Ning ^a,b   Xu, Zhiwei ^a,b   Ge, Jianping ^c  

^a INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^c BEIJING NORMAL UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CHINA; ECOSYSTEM; FOREST; PLANT LEAF; PLANT STOMA; QUANTITATIVE TRAIT;

CHINA; ECOSYSTEM; FORESTS; PLANT LEAVES; PLANT STOMATA; QUANTITATIVE TRAIT, HERITABLE;

EID: 84942810311     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep14454     Document Type: Article

References (40)

1. Suding, K. N. et al. Scaling environmental change through the community-level: a trait-based response-and-effect framework for plants. Global Change Biol. 14, 1125-1140 (2008).
2. Reichstein, M., Bahn, M., Mahecha, M. D., Kattge, J., Baldocchi, D. D. Linking plant and ecosystem functional biogeography. Proc. Natl. Acad. Sci. USA 111, 13697-13702 (2014).
3. Chapin III, F. S., Matson, P. A., Mooney, H. A. Principles of terrestrial ecosystem ecology (Springer, New York, 2002.
4. Violle, C., Reich, P. B., Pacala, S. W., Enquist, B. J., Kattge, J. The emergence and promise of functional biogeography. Proc. Natl. Acad. Sci. USA 111, 13690-13696 (2014).
5. Garnier, E., Navas, M. L. A trait-based approach to comparative functional plant ecology: concepts, methods and applications for agroecology. A review. Agron. Sustain. Dev. 32, 365-399 (2012).
6. Andersen, K. M., Endara, M. J., Turner, B. L., Dalling, J. W. Trait-based community assembly of understory palms along a soil nutrient gradient in a lower montane tropical forest. Oecologia 168, 519-531 (2012).
7. Yu, G. R. et al. High carbon dioxide uptake by subtropical forest ecosystems in the East Asian monsoon region. Proc. Natl. Acad. Sci. USA 111, 4910-4915 (2014).
8. Zhu, X. J. et al. Spatiotemporal variations of T/ET (the ratio of transpiration to evapotranspiration) in three forests of Eastern China. Ecol. Indic. 52, 411-421 (2015).
9. Hetherington, A. M., Woodward, F. I. The role of stomata in sensing and driving environmental change. Nature 424, 901-908 (2003).
10. Franks, P. J., Beerling, D. J. Maximum leaf conductance driven by CO2 effects on stomatal size and density over geologic time. Proc. Natl. Acad. Sci. USA 106, 10343-10347 (2009).
11. Franks, P. J., Drake, P. L., Beerling, D. J. Plasticity in maximum stomatal conductance constrained by negative correlation between stomatal size and density: an analysis using Eucalyptus globulus. Plant Cell Environ. 32, 1737-1748 (2009).
12. Engineer, C. B. et al. Carbonic anhydrases, EPF2 and a novel protease mediate CO2 control of stomatal development. Nature 513, 246-250 (2014).
13. Al Afas, N., Marron, N., Ceulemans, R. Variability in Populus leaf anatomy and morphology in relation to canopy position, biomass production, and varietal taxon. Ann. Forest Sci. 64, 521-532 (2007).
14. Luomala, E. M., Laitinen, K., Sutinen, S., Kellomaki, S., Vapaavuori, E. Stomatal density, anatomy and nutrient concentrations of Scots pine needles are affected by elevated CO2 and temperature. Plant Cell Environ. 28, 733-749 (2005).
15. Fraser, L. H., Greenall, A., Carlyle, C., Turkington, R., Friedman, C. R. Adaptive phenotypic plasticity of Pseudoroegneria spicata: response of stomatal density, leaf area and biomass to changes in water supply and increased temperature. Ann. Bot. 103, 769-775 (2009).
16. Xu, Z., Zhou, G. Responses of leaf stomatal density to water status and its relationship with photosynthesis in a grass. J. Exp. Bot. 59, 3317-3325 (2008).
17. Ferris, R., Nijs, I., Behaeghe, T., Impens, I. Elevated CO2 and temperature have different effects on leaf anatomy of perennial ryegrass in spring and summer. Ann. Bot. 78, 489-497 (1996).
18. Zheng, Y. P. et al. Effects of experimental warming on stomatal traits in leaves of maize (Zea may L.). Ecol. Evol. 3, 3095-3111 (2013).
19. Wang, R. Z. et al. Anatomical and physiological plasticity in Leymus chinensis (Poaceae) along large-scale longitudinal gradient in northeast China. PLoS One 6, e26209 (2011).
20. Yang, X. et al. Large-scale patterns of stomatal traits in Tibetan and Mongolian grassland species. Basic. Appl. Ecol. 15, 122-132 (2014).
21. Stenstrom, A., Jonsdottir, I. S., Augner, M. Genetic and environmental effects on morphology in clonal sedges in the Eurasian Arctic. Am. J. Bot. 89, 1410-1421 (2002).
22. Garnier, E. et al. Plant functional markers capture ecosystem properties during secondary succession. Ecology 85, 2630-2637 (2004).
23. Moles, A. T. et al. Which is a better predictor of plant traits: temperature or precipitation? J. Veg. Sci. 25, 1167-1180 (2014).
24. Kazakou, E. et al. Are trait-based species rankings consistent across data sets and spatial scales? J. Veg. Sci. 25, 235-247 (2014).
25. Liu, G. F. et al. Coordinated variation in leaf and root traits across multiple spatial scales in Chinese semi-arid and arid ecosystems. New Phytol. 188, 543-553 (2010).
26. Drake, P. L., Froend, R. H., Franks, P. J. Smaller, faster stomata: scaling of stomatal size, rate of response, and stomatal conductance. J. Exp. Bot. 64, 495-505 (2013).
27. Woodward, F. I. Do plants really need stomata? J. Exp. Bot. 49, 471-480 (1998).
28. Lammertsma, E. I. et al. Global CO2 rise leads to reduced maximum stomatal conductance in Florida vegetation. Proc. Natl. Acad. Sci. USA 108, 4035-4040 (2011).
29. Eamus, D. Ecophysiological traits of deciduous and evergreen woody species in the seasonally dry tropics. Trends Ecol. Evol. 14, 11-16 (1999).
30. Han, W. X., Fang, J. Y., Reich, P. B., Woodward, F. I., Wang, Z. H. Biogeography and variability of eleven mineral elements in plant leaves across gradients of climate, soil and plant functional type in China. Ecol. Lett. 14, 788-796 (2011).
31. Luo, J. X., Zang, R. G., Li, C. Y. Physiological and morphological variations of Picea asperata populations originating from different altitudes in the mountains of southwestern China. Forest Ecol. Manag. 221, 285-290 (2006).
32. Zhang, X. S., Yang, D. A. Allocation and study on global change transects in China. Quatern. Sci. 1, 43-52 (1995).
33. Cornelissen, J. H. C. et al. A handbook of protocols for standardised and easy measurement of plant functional traits worldwide. Aust. J. Bot. 51, 335-380 (2003).
34. Wang, R. L. et al. Elevation-related variation in leaf stomatal traits as a function of plant functional type: evidence from Changbai Mountain, China. PLoS One 9, e115395 (2014).
35. Ni, J., Zhang, X. S., Scurlock, J. M. O. Synthesis and analysis of biomass and net primary productivity in Chinese forests. Ann. Forest. Sci. 58, 351-384 (2001).
36. Luo, T. X. Patterns of biological production and its mathematical models for main forest types of China. PhD thesis, Chinese Academy of Sciences (1996).
37. Lieth, H., Whittaker, R. H. Primary productivity of the biosphere (Springer, New York, 2012).
38. He, H. L. et al. Large-scale estimation and uncertainty analysis of gross primary production in Tibetan alpine grasslands. J. Geophys. Res. Biogeosci. 119, 466-486 (2014).
39. Zhao, N. et al. The altitudinal patterns of leaf C:N:P stoichiometry are regulated by plant growth form, climate and soil on Changbai Mountain, China. PLoS One 9, e95196 (2014).
40. Aho, K., Derryberry, D., Peterson, T. Model selection for ecologists: the worldviews of AIC and BIC. Ecology 95, 631-636 (2014).