Specific leaf area estimation model building based on leaf dry matter content of Cunninghamia lanceolata |
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| Affiliation: | Faculty of Life Science and Technology, Central South University of Forestry and Technology, Changsha 410004, China; Huitong National Field Station for Scientific Observation and Research of Chinese Fir Plantation Ecosystem in Hunan Province, Huitong, Hunan 418307, China; and National Engineering Laboratory for Applied Forest Ecological Technology in Southern China, Changsha 410004, China |
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| Abstract: | Aims With progresses of leaf functional traits study, there is an increasing demand to explore the life history strategy and trade-offs in plants, as well as estimate stand productivity, by employing easy and simple leaf parameters. For instance, the interconversion between leaf dry matter content (LDMC) and specific leaf area (SLA) just fit the bill. Cunninghamia lanceolata serves as one of the most important afforestation evergreen needle species in subtropical zone. Building the SLA estimation model based on LDMC could provide a new approach to estimate SLA, and establish a connection path between mechanism explanation and productivity evaluation. Moreover, it could also build a bridge between individual level and large-scale, as well as between actuarial and estimation. |
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| Keywords: | Cunninghamia lanceolata" target="_blank">Cunninghamia lanceolata')">Cunninghamia lanceolata specific leaf area" target="_blank">specific leaf area')"> specific leaf area leaf dry matter content" target="_blank">leaf dry matter content')">leaf dry matter content model estimation" target="_blank">model estimation')">model estimation leaf functional traits" target="_blank">leaf functional traits')">leaf functional traits |
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