Abstract
Nondestructive methods to estimate individual leaf area (LA) accurately, by leaf length (L) and/or width (W), is helpful for the in situ and successive LA measurements. However, leaf shape and size may covary with environment and thus alter the coefficients of LA estimation models. To test such hypothesis, we carried out an experiment by measuring Saussurea stoliczkai C. B. Clarke leaves along an altitudinal transect in Damxung county, central Tibet. In July 2011, we selected seven sites at about every 150 m in altitude from 4,350 m to 5,250 m a.s.l. A total of 1,389 leaves (182 to 203 leaves for each site) were measured. For each site, models developed by two leaf dimensions [LA = a (L×W) + b] could estimate LA more accurately than those by single dimension. L, W, LA and leaf shape index (L:W ratio) all decreased with increasing altitude, leading to significant differences in coefficients of two-dimension model between almost every two sites. Accordingly, a common two-dimension model is unlikely to occur for S. stoliczkai across the whole altitudinal transect, indicating that the varying leaf shape may alter the coefficient of LA estimation models.
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Abbreviations
- ANCOVA :
-
analysis of covariance
- L:
-
leaf length
- LA:
-
leaf area
- MSE:
-
mean square errors
- T:
-
tolerance value
- VIF:
-
variance inflation factor
- W:
-
leaf width
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Acknowledgements: We are grateful to the staff in Grassland Station of Damxung county for their assistance in sample collection. Also, we thank the anonymous reviewers for their valuable suggestions to improve the manuscript. This work is funded by the National Natural Science Foundation of China (40901038, 31170451).
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Wang, Z., Zhang, L. Leaf shape alters the coefficients of leaf area estimation models for Saussurea stoliczkai in central Tibet. Photosynthetica 50, 337–342 (2012). https://doi.org/10.1007/s11099-012-0039-1
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DOI: https://doi.org/10.1007/s11099-012-0039-1