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解读不同森林类型的叶子分配策略的变化,使用叶子经济特征和反射光谱在不同森林类型的变化

Tingting Dong^1,2,3, Fengqi Wu^1,2,3, Yuki Tsujii⁴

¹State Key Laboratory of Forage Breeding-by-Design and Utilization, Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Xiangshan, Beijing, 100093, China.

The New phytologist

|May 19, 2025

概括

植物通过改变叶子的P分数来适应 (P) 的使用,而保守的策略提高了效率. 反射光谱学有效地预测了各种植物群落的这些P分数.

科学领域:

植物生态学植物生态学
生物地质化学生物地质化学
生理生态生态学生理生态学

背景情况:

将叶子 (P) 分配为功能分量是优化P使用和植物适应的关键.
了解不同植物群落的叶子P分数和P使用策略的变异性是具有挑战性的.

研究的目的:

探索在中国三大生物群中58种木质物种中叶子P分数和叶子经济特征之间的关系.
开发和比较基于特征和光谱模型来预测叶子P分数.
评估反射率光谱对于叶子P分量的大规模表征的潜力.

主要方法:

研究了五种叶子P分离物 (酸盐P,P_i;脂质P,P_L;核酸P,P_N;代谢物P,P_M;和残留的P,P_R).
与温带,亚热带和热带森林中的11个叶子经济特征相关的P分数.
开发并验证了基于特征的和光谱模型,用于预测叶子P分数.

主要成果:

采用保守策略的植物增加了P_N和P_M的比例,同时减少了P_i和P_L,提高了光合作用的P使用效率.
与基于特征的模型相比,光谱模型对跨位点叶子P分数 (度和比例) 的预测能力更强.
对光谱模型的R^{2值在度的0.50-0.88和比例的0.43-0.70之间.}

结论:

叶子P分配策略与植物经济特征相关,并影响P使用效率.
反射光谱为评估叶子P分数和植物P使用策略提供了一种可靠和可扩展的方法.
这种方法可以改善陆地表面模型中植物P循环的生理表现.

关键词:

叶子 P 分数叶子经济学频谱经济学叶子反射光谱学叶子反射光谱学限制营养素的限制光合作用光合作用.工厂的P使用策略.植物的功能特征植物的功能特征

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