Environmental Adaptability and Energy Investment Strategy of Different Cunninghamia lanceolata Clones Based on Leaf Calorific Value and Construction Cost Characteristics

• Published in: Plants (Basel) Vol. 12; no. 14; p. 2723
• Main Authors: Li, Nana, Cao, Yue, Wu, Jinghui, Zhang, Ting, Zou, Xianhua, Ma, Xiangqing, Wu, Pengfei
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 21.07.2023; MDPI
• Subjects: Adaptability; Ashes; Calorific value; Chinese fir; Climate change; Cloning; Construction; Construction costs; Correlation analysis; Cost analysis; Cunninghamia lanceolata; Drought; Efficiency; Energy consumption; Energy utilization; Environmental changes; Environmental impact; Investment policy; Investment strategy; Leaf area; leaf functional traits; Leaves; Lignin; Nitrogen; Nutrients; Physiology; Precipitation; Principal components analysis; Redundancy; subtropical region; utilization strategy; China; calorific value; Chinese fir; leaf functional traits; subtropical region; utilization strategy; climate change
• ISSN: 2223-7747; 2223-7747
• DOI: 10.3390/plants12142723

The calorific value and construction cost of leaves reflect the utilization strategy of plants for environmental resources. Their genetic characteristics and leaf functional traits as well as climate change affect the calorific values. This study explores the differences in energy investment strategies and the response characteristics of energy utilization in leaves to climate change among nine clones of Chinese fir ( ). Considering the objectives, the differences in the energy utilization strategies were analyzed by determining the leaf nutrients, specific leaf area, and leaf calorific value and by calculating the construction cost. The results showed a significant difference in the ash-free calorific value and construction cost of leaves among different Chinese fir clones ( < 0.05). There were also significant differences in leaf carbon (C) content, leaf nitrogen (N) content, specific leaf area, and ash content. The correlation analysis showed that leaves' ash-free calorific value and construction cost were positively correlated with the C content. Principal component analysis (PCA) showed that P2 is inclined to the "fast investment return" energy investment strategy, while L27 is inclined to the "slow investment return" energy investment strategy. Redundancy analysis (RDA) indicates that the monthly average temperature strongly correlates positively with leaf construction cost, N content, and specific leaf area. The monthly average precipitation positively impacts the ash-free calorific value and construction cost of leaves. In conclusion, there are obvious differences in energy investment strategies among different Chinese fir clones. When temperature and precipitation change, Chinese fir leaves can adjust their energy investment to adapt to environmental changes. In the future, attention should be paid to the impact of climate change-related aspects on the growth and development of Chinese fir plantations.