Feilong Huang, Weiliang Fan, H. Du, Xiaojun Xu, Jun Wu, Mengxiang Zheng, Yongjin Du
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Estimation of Leaf Area Index of Moso Bamboo Canopies
ABSTRACT All ground-based estimations of leaf area index (LAI) of Moso bamboo canopies are currently conducted based on indirect remote sensing methods. However, the relatively small values of LAI estimated by previous studies conflict with the expected values of such extremely dense canopies of Moso bamboo. This is the first attempt to accurately estimate the LAI of Moso bamboo canopies using an allometric model based on destructive measurements. The results indicate that (1) LAI of Moso bamboo canopies range was 6.7–30.6 m2·m−2, which is clearly higher than the range 2.2–6.5 m2·m−2 estimated by previous studies; (2) there is a strong linear relationship between LAI and crown density (R2 = 0.947, RMSE = 1.343); (3) LAI is largely underestimated using the digital hemispherical photography (DHP) because of the overestimation of clumping index; and (4) there is a strong exponential relationship between LAI and effective leaf area (Le) estimated using DHP (R2 = 0.734, RMSE = 3.011). Based on the results, three methods are recommended for LAI estimations of Moso bamboo canopies using the allometric relationship, the empirical relationship with crown density, and the empirical relationship with Le.
期刊介绍:
Journal of Sustainable Forestry publishes peer-reviewed, original research on forest science. While the emphasis is on sustainable use of forest products and services, the journal covers a wide range of topics from the underlying biology and ecology of forests to the social, economic and policy aspects of forestry. Short communications and review papers that provide a clear theoretical, conceptual or methodological contribution to the existing literature are also included in the journal.
Common topics covered in the Journal of Sustainable Forestry include:
• Ecology, management, recreation, restoration and silvicultural systems of all forest types, including urban forests
• All aspects of forest biology, including ecophysiology, entomology, pathology, genetics, tree breeding, and biotechnology
• Wood properties, forest biomass, bioenergy, and carbon sequestration
• Simulation modeling, inventory, quantitative methods, and remote sensing
• Environmental pollution, fire and climate change impacts, and adaptation and mitigation in forests
• Forest engineering, economics, human dimensions, natural resource policy, and planning
Journal of Sustainable Forestry provides an international forum for dialogue between research scientists, forest managers, economists and policy and decision makers who share the common vision of the sustainable use of natural resources.