Models for leaf area estimation of three forest species in a short coppice rotation |
| |
| Affiliation: | 2. Postdoctoral in Forest Science, College of Agricultural Sciences, São Paulo State University (UNESP), Botucatu 18610307, Brazil;3. Undergraduate student in Forest Engineering, College of Agricultural Sciences, São Paulo State University (UNESP), Botucatu 18610307, Brazil;4. Department of Crop Science, College of Agricultural Sciences, São Paulo State University (UNESP), Botucatu 18610307, Brazil;5. Department of Rural Engineering and Socioeconomic, College of Agricultural Sciences, São Paulo State University (UNESP), Botucatu 18610307, Brazil;1. Department of Range Management, Science and Research Branch, Islamic Azad University, Tehran, Iran;2. Faculty of Natural Resources, University of Tehran, Iran;3. Medicinal Plants Research Center, Yasuj University of Medical Sciences, Yasuj, Iran;1. CAS Key Laboratory of Ocean and Marginal Sea Geology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, 164 Xingang Xilu, Guangzhou 510301, China;2. Innovation Academy of South China Sea Ecology and Environmental Engineering, Chinese Academy of Sciences, Guangzhou 510301, China;3. University of Chinese Academy of Sciences, Beijing 100049, China;4. Department of Geography, Lingnan Normal University, Zhanjiang, Guangdong 524048, China;5. Department of Archaeology and Natural History, College of Asia and the Pacific, Australian National University, Canberra, Australian Capital Territory, Australia;6. School of Geographical Sciences, Guangzhou University, 230 Waihuan Xilu Xiaoguwei, Guangzhou Universities Town Campus, Guangzhou 510006, China;7. Hadal Science and Technology Research Center, Shanghai Ocean University, Shanghai, China;8. Department of Biology, University of Kentucky, Lexington, KY 40506, USA;1. Department of Heet Education, General Directorate of Education in Anbar, Ministry of Education, Hit, Anbar 31007, Iraq;2. Department of Ecology, College of Applied Sciences, University of Anbar, Hit, Anbar 31007, Iraq;3. Department of Biophysics, College of Applied Sciences, University of Anbar, Hit, Anbar 31007, Iraq |
| |
| Abstract: | It was obtained statistical models to estimate the leaf area (LA) based in the length (L) and the width (W) of Bambusa vulgaris, two different eucalypt clones, AEC-144 (spontaneous hybrid of Eucalyptus urophylla) and LW07 (Eucalyptus urophylla x Eucalyptus grandis), and Salix nigra leaves. The trees or clumps were provbrided from a short rotation coppice (SRC) for bioenergy, mainly characterized by the high tree density, in Botucatu, Sao Paulo, Brazil. It was collected, by chance, more than 4000 leaves that represented a quarter of the coppices. The bamboo and AEC-144 clone were, at the time, 22 months old, while the willow and LW07 clone were 18 months old. Young, intermediate and old leaves were mixed and measured. The measured leaves were correlated to obtain the simple linear eqs. (LA in function of L and W) and multiple linear regression (LA in function of L × W), to each species. All the species shown a positive correlation coefficient (r) to L (r = 0.75 to 0.95), W (r = 0.70 to 0.82) e L × W (r = 0.87 to 0.95), significative to p ≤ .05. The multiple linear models, that used L × W, are the most appropriated once it had better adjustments with the determination coefficients (R2) between 0.76 and 0.91 with exception in the case of S. nigra (willow), the R2 of the simple linear regression using L was similar to the multiple linear regression, 0.90 and 0.91 respectively, showing that it is possible to estimate the LA in willow just using length. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
