Zhang Xing, Yu Mengyao, Su Jianxiao, Xu Jiali, Zhang Xueting, Shang Jinlong, Gao Jie
Key Laboratory for the Conservation and Regulation Biology of Species in Special Environments, College of Life Science, Xinjiang Normal University, Urumqi, China.
Key Laboratory of Earth Surface Processes of Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, China.
Front Plant Sci. 2024 Mar 18;15:1372530. doi: 10.3389/fpls.2024.1372530. eCollection 2024.
Leaf nutrient content (nitrogen, phosphorus) and their stoichiometric ratio (N/P) as key functional traits can reflect plant survival strategies and predict ecosystem productivity responses to environmental changes. Previous research on leaf nutrient traits has primarily focused on the species level with limited spatial scale, making it challenging to quantify the variability and influencing factors of forest leaf nutrient traits on a macro scale. This study, based on field surveys and literature collected from 2005 to 2020 on 384 planted forests and 541 natural forests in China, investigates the differences in leaf nutrient traits between forest types (planted forests, natural forests) and their driving factors. Results show that leaf nutrient traits (leaf nitrogen content (LN), leaf phosphorus content (LP), and leaf N/P ratio) of planted forests are significantly higher than those of natural forests (P< 0.05). The impact of climatic and soil factors on the variability of leaf nutrient traits in planted forests is greater than that in natural forests. With increasing forest age, natural forests significantly increase in leaf nitrogen and phosphorus content, with a significant decrease in N/P ratio (P< 0.05). Climatic factors are key environmental factors dominating the spatial variability of leaf nutrient traits. They not only directly affect leaf nutrient traits of planted and natural forest communities but also indirectly through regulation of soil nutrients and stand factors, with their direct effects being more significant than their indirect effects.
叶片养分含量(氮、磷)及其化学计量比(N/P)作为关键功能性状,能够反映植物的生存策略,并预测生态系统生产力对环境变化的响应。以往关于叶片养分性状的研究主要集中在物种层面,空间尺度有限,因此在宏观尺度上量化森林叶片养分性状的变异性及其影响因素具有挑战性。本研究基于2005年至2020年对中国384片人工林和541片天然林的实地调查和文献收集,调查了不同森林类型(人工林、天然林)叶片养分性状的差异及其驱动因素。结果表明,人工林的叶片养分性状(叶片氮含量(LN)、叶片磷含量(LP)和叶片N/P比)显著高于天然林(P<0.05)。气候和土壤因素对人工林叶片养分性状变异性的影响大于天然林。随着林龄的增加,天然林的叶片氮、磷含量显著增加,N/P比显著降低(P<0.05)。气候因素是主导叶片养分性状空间变异性的关键环境因素。它们不仅直接影响人工林和天然林群落的叶片养分性状,还通过调节土壤养分和林分因子间接影响,其直接影响比间接影响更为显著。