J Plant Ecol ›› 2026, Vol. 19 ›› Issue (2): rtaf164.DOI: 10.1093/jpe/rtaf164

• Research Article •    

Leaf non-structural carbohydrates dominantly drive background insect herbivory of temperate tree species in Northeast China

Yuyao Nan1, Chuanshan Zou1,*, Xingchang Wang2, Qi Wang3   

  1. 1School of Forestry, Northeast Forestry University, Harbin 150040, China, 2Center for Ecological Research, Key Laboratory of Sustainable Forest Ecosystem Management—Ministry of Education, Northeast Forestry University, Harbin 150040, China, 3National-Regional Joint Engineering Research Center for Soil Pollution Control and Remediation in South China, Guangdong Key Laboratory of Integrated Agro- Environmental Pollution Control and Management, Institute of Eco-Environmental and Soil Sciences, Guangdong Academy of Science, Guangzhou 510650, China

    *Corresponding author. E-mail: zoucs1980@126.com

  • Received:2024-07-24 Accepted:2025-09-06 Online:2025-11-03 Published:2026-04-01
  • Supported by:
    This work was supported by the National Natural Science Foundation of China 16 (32171765) and the National Key Research and Development Program of China 17 (2022YFD2201100).

叶片非结构性碳水化合物主导中国东北温带树种叶片昆虫取食强度

Abstract: Herbivorous insects shape plant growth and community assembly, while conversely, plant traits, especially leaf traits, profoundly affect herbivore behaviors. However, which leaf traits and how they dominantly drive insect herbivory in a natural forest habitat remain undefined. In this study, we evaluated the background insect herbivory of 45 individual trees from five broadleaved tree species in the northeast of China. Based on that, 17 leaf traits representing four groups—leaf structural traits, photosynthetic pigments, nutrient traits, and secondary metabolites—were measured. Finally, the correlation between 17 leaf traits and background insect herbivory was investigated. The results indicated that the damaged leaf area (DLA) exhibited positive correlations with leaf structural traits (leaf mass per area and leaf size) and nutrient traits (soluble sugar (SS), non-structural carbohydrates (NSC), SS/NSC), and a negative correlation with photosynthetic pigments, nitrogen/phosphorus ratio, and anthocyanins. Meanwhile, SS/NSC, SS, leaf size, total phenol, and phosphorus were identified as the five relatively important leaf traits contributing to DLA by the quantitative estimation based on SHAP (SHapley Additive exPlanations) values. Furthermore, nutrient traits accounted for 52.9% of DLA explanation, showing the most important group of leaf traits. In addition, structural traits and secondary metabolites were found to interactively influence herbivory. These findings provide valuable insights into the complex interactions between host plants and herbivorous insects in forest ecosystems.

Which leaf traits and how they dominantly drive insect herbivory in a natural forest habitat remain undefined. Investigating the relationship between 17 leaf traits representing four groups and damaged leaf area in five broadleaved tree species in Northeast China, this study finds that leaf nutrient content may play a critical role in driving herbivorous insect feeding preference.

Key words: damaged leaf area, quantitative evaluation, leaf traits, structural traits, secondary metabolites

摘要:
植食性昆虫影响植物生长和群落构建,而叶片性状会影响植食性昆虫的取食行为。然而,在天然林中,叶片性状如何驱动昆虫取食仍不明确。本研究测定了中国东北地区5种阔叶树种45个植株叶片昆虫取食强度,以及4类(共17个)叶片性状,包括结构性状、光合色素、营养性状以及次生代谢产含量物,在此基础上,分析了叶片性状与昆虫取食强度之间的关联。结果显示:1)叶片被取食率与结构性状(比叶质量和叶片面积)以及营养性状(可溶性糖、非结构性碳水化合物含量以及二者比值)正相关,而与叶片氮磷比、光合色素和花青素含量负相关。2)基于SHAP (SHapley Additive exPlanations)定量评估发现,可溶性糖与非结构性碳水化合物比值、可溶性糖含量、叶面积、总酚和磷含量是影响叶片取食强度的5个关键性状。3)营养性状对叶片取食强度的影响最大,其相对贡献为52.9%。此外,叶片结构性状和次生代谢产物含量间存在交互作用,共同影响昆虫的取食。上述发现加深了森林生态系统中寄主植物与植食性昆虫之间的复杂互作关系的认识。

关键词: 受损叶片面积, 定量评估, 叶片性状, 结构性状, 次生代谢产物