Interspecific covariation between stomatal density and other functional leaf traits in a local flora

Botany

Volumn 88, Issue 1, 2010, Pages 30-38

  Loranger, Jessy ^a   Shipley, Bill ^a  

^a UNIVERSITÉ DE SHERBROOKE   (Canada)

Author keywords

Allometry; Comparative ecology; Leaf lamina thickness; SLA; Stomatal density; Variance components

Indexed keywords

ALLOMETRY; CARBON DIOXIDE; CHLOROPHYLL; COMPARATIVE STUDY; FUNCTIONAL MORPHOLOGY; HERB; HERBARIUM; INTERSPECIFIC VARIATION; MODEL TEST; NUMERICAL MODEL; POPULATION DISTRIBUTION; TEMPORAL VARIATION; VARIANCE ANALYSIS;

MAGNOLIOPHYTA;

EID: 76749107118     PISSN: 19162804     EISSN: None     Source Type: Journal    
DOI: 10.1139/B09-103     Document Type: Article

References (42)

1. Al Afas, N., Marron, N., and Ceulemans, R. 2007. Variability in Populus leaf anatomy and morphology in relation to canopy position, biomass production, and varietal taxon. Ann. For. Sci. 64(5): 521-532. doi:10.1051/forest:2007029.
2. Arnon, D.I. 1949. Copper enzymes in isolated chloroplasts: polyphenoloxidase in Beta vulgaris. Plant Physiol. 24(1): 1-15. doi:10.1104/pp.24.1.1. PMID:16654194.
3. Avramov, S., Pemac, D., and Tucic, B. 2007. Phenotypic plasticity in response to an irradiance gradient in Iris pumila: adaptive value and evolutionary constraints. Plant Ecol. 190(2): 275-290. doi:10.1007/s11258-006-9207-3.
4. Beaulieu, J.M., Leitch, I.J., Patel, S., Pendharkar, A., and Knight, C.A. 2008. Genome size is a strong predictor of cell size and stomatal density in angiosperms. New Phytol. 179(4): 975-986. doi:10.1111/j.1469-8137.2008.02528.x. PMID:18564303
5. Beerling, D.J., and Woodward, F.I. 1997. Changes in land plant function over the Phanerozoic: reconstructions based on the fossil record. Bot. J. Linn. Soc. 124: 137-153.
6. 2] and nitrogen on morphological and biomass traits of white birch (Betula papyrifera) seedlings. For. Ecol. Manage. 254(2): 217-224. doi:10.1016/j.foreco.2007.08.002.
7. Carter, R.M. 2007. The myth of dangerous human-caused climate changes. In Proceedings of the Australasian Institute of Mining & Metallurgy, New Leaders Conference, Brisbane, 2-3 May 2007. AusIMM, Brisbane, Queensland, Australia. pp. 61-74. Available from members.iinet.net.au/~glrmc/index.htm.
8. Casson, S., and Gray, J.E. 2008. Influence of environmental factors on stomatal development. New Phytol. 178(1): 9-23. doi:10.1111/j.1469-8137.2007.02351.x. PMID:18266617.
9. 2. Ann. Bot. (Lond.), 73(4): 447-453. doi:10.1006/anbo.1994.1055.
10. Garnier, E., Shipley, B., Roumet, C., and Laurent, G. 2001. A standardized protocol for the determination of specific leaf area and leaf dry matter content. Funct. Ecol. 15(5): 688-695. doi:10.1046/j.0269-8463.2001.00563.x.
11. Gutschick, V.P. 1999. Biotic and abiotic consequences of differences in leaf structure. New Phytol. 143(1): 3-18. doi:10.1046/j.1469-8137.1999.00423.x.
12. Hiscox, J.D., and Isrealstam, G.F. 1979. A method for the extraction of chlorophyll from leaf tissue without maceration. Can. J. Bot. 57(12): 1332-1334. doi:10.1139/b79-163.
13. Hodgson, J.G., Booth, R.E., and Gaitens, P. 1993. Anatomy: functional plant anatomy. In Methods in comparative plant ecology - a manual of laboratory methods. Edited by G.A.F. Hendry and J.P. Grime. Chapman and Hall Press, London, UK. pp. 32-36.
14. Knight, C.A., and Beaulieu, J.M. 2008. Genome size scaling through phenotype space. Ann. Bot. (Lond.), 101(6): 759-766. doi:10.1093/aob/mcm321.
15. 2. Am. J. Bot. 90(4): 610-619. doi:10.3732/ajb.90.4.610.
16. Kürschner, W.M., Stulen, I., Wagner, F., and Kuiper, P.J.C. 1998. Comparison of palaeobotanical observations with experimentaldata on the leaf anatomy of durmast oak [Quercus petraea (Fagaceae)] in response to environmental change. Ann. Bot. (Lond.), 81(5): 657-664. doi:10.1006/anbo.1998.0605.
17. Lake, J.A., Quick, W.P., Beerling, D.J., and Woodward, F.I. 2001. Plant development. Signals from mature to new leaves. Nature, 411(6834): 154. doi:10.1038/35075660. PMID:11346781.
18. Lomax, B.H., Woodward, F.I., Leitch, I.J., Knight, C.A., and Lake, J.A. 2009. Genome size as a predictor of guard cell length in Arabidopsis thaliana is independent of environmental conditions. New Phytol. 181(2): 311-314. doi:10.1111/j.1469-8137.2008.02700.x. PMID:19054335.
19. Luo, J.X., Zang, R.G., and Li, C.Y. 2006. Physiological and morphological variations of Picea asperata populations originating from different altitudes in the mountains of southwestern China. For. Ecol. Manage. 221: 285-290.
20. 2 and temperature. Plant Cell Environ. 28(6): 733-749. doi:10.1111/j.1365-3040.2005.01319.x.
21. 2 springs. Funct. Plant Biol. 31(2): 181-194. doi:10.1071/FP03140.
22. ieme ed. Université de Montréal Press, Montréal, Que.
23. Marino, G., Aqil, M., and Shipley, B. 2010. The leaf economics spectrum and the prediction of photosynthetic light response curves. Funct. Ecol. In press.
24. Miyazawa, S.I., Livingston, N.J., and Turpin, D.H. 2006. Stomatal development in new leaves is related to the stomatal conductance of mature leaves in poplar (Populus trichocarpa _P. deltoides). J. Exp. Bot. 57(2): 373-380. doi:10.1093/jxb/eri278.PMID:16172139.
25. 2 concentration. J. Exp. Bot. 49(90001): 443-452. doi:10.1093/jexbot/49.suppl_1.443.
26. Paoletti, E., and Gellini, R. 1993. Stomatal density variation in beech and holm oak leaves collected over the last 200 years. Acta Oecol. 14: 173-178.
27. 2 enrichment modify the effect of water and high light stress on biomass allocation and relative growth rate of cork oak seedlings? Trees (Berl.), 20(6): 713-724. doi:10.1007/s00468-006-0086-y.
28. Pinhiero, J.C., and Bates, D.M. 2000. Mixed-effects models in S and S-Plus. Springer, New York, N.Y.
29. 2 enrichment and temperature on cotton growth and leaf characteristics. Environ. Exp. Bot. 39(2): 117-129. doi:10.1016/S0098-8472(97)00028-2.
30. Reich, P.B., Walters, M.B., and Ellsworth, D.S. 1997. From tropics to tundra: global convergence in plant functioning. Proc. Natl. Acad. Sci. U.S.A. 94(25): 13730-13734. doi:10.1073/pnas.94.25.13730. PMID:9391094.
31. Rijkers, T., Pons, T.L., and Bongers, F. 2000. The effect of tree height and light availability on photosynthetic leaf traits of four neotropical species differing in shade tolerance. Funct. Ecol. 14(1): 77-86. doi:10.1046/j.1365-2435.2000.00395.x.
32. 2 concentrations and climate from the Late Eocene to Early Miocene: palaeobotanical reconstruction based on fossil floras from Saxony, Germany. Palaeogeogr. Palaeoclimatol. Palaeoecol. 205(1-2): 43-67. doi:10.1016/j.palaeo.2003.11.014.
33. Royer, D.L., Sack, L., Wilf, P., Lusk, C.H., Jordan, G.J., Niinemets, Ü., Wright, I.J., Westoby, M., Cariglino, B., Coley, P.D., Cutter, A.D., Johnson, K.R., Labandeira, C.C., Moles, A.T., Palmer, M.B., and Valladares, F. 2007. Fossil leaf economics quantified: calibration, Eocene case study, and implications. Paleobiology, 33(4): 574-589. doi:10.1666/07001.1.
34. Shipley, B. 2000. Cause and correlation in biology. A user's guide to path analysis, structural equations and causal inference. Cambridge University Press, Cambridge, UK.
35. Shipley, B., Lechowicz, M.J., Wright, I., and Reich, P.B. 2006. Fundamental trade-offs generating the worldwide leaf economics spectrum. Ecology, 87(3): 535-541. doi:10.1890/05-1051.PMID:16602282.
36. Sprent, P. 1969. Models in regression and related topics. Methuen & Co., London, UK.
37. Tay, A.C., and Furukawa, A. 2008. Variations in leaf stomatal density and distribution of 53 vine species in Japan. Plant Species Biol. 23(1): 2-8. doi:10.1111/j.1442-1984.2008.00201.x.
38. 2. Oecologia (Berl.), 143(4): 652-660. doi:10.1007/s00442-005-0025-4.
39. 2 partial-pressure. J. Exp. Bot. 39(12): 1771-1781. doi:10.1093/jxb/39.12.1771.
40. 2 concentration on stomatal density. New Phytol. 131(3): 311-327. doi:10.1111/j.1469-8137.1995.tb03067.x.
41. Wright, I.J., Reich, P.B., Westoby, M., Ackerly, D.D., Baruch, Z., Bongers, F., Cavender-Bares, J., Chapin, T., Cornelissen, J.H., Diemer, M., Flexas, J., Garnier, E., Groom, P.K., Gulias, J., Hikosaka, K., Lamont, B.B., Lee, T., Lee, W., Lusk, C., Midgley, J.J., Navas, M.L., Niinemets, U., Oleksyn, J., Osada, N., Poorter, H., Poot, P., Prior, L., Pyankov, V.I., Roumet, C., Thomas, S.C., Tjoelker, M.G., Veneklaas, E.J., and Villar, R. 2004. The worldwide leaf economics spectrum. Nature, 428(6985): 821-827. doi:10.1038/nature02403. PMID:15103368.
42. Yàñez-Espinosa, L., Terrazas, T., Lòpez-Mata, L., and Valdez-Hernández, J.I. 2003. Leaf trait variation in three species through canopy strata in a semi-evergreen Neotropical forest. Can. J. Bot. 81(4): 398-404. doi:10.1139/b03-031.