小兴安岭不同生长型阔叶植物叶性状变异及权衡

doi:10.17521/cjpe.2023.0137

植物生态学报 ›› 2024, Vol. 48 ›› Issue (3): 364-376.DOI: 10.17521/cjpe.2023.0137

所属专题：植物功能性状

小兴安岭不同生长型阔叶植物叶性状变异及权衡

范宏坤, 曾涛, 金光泽, 刘志理^*()

东北林业大学生态研究中心, 森林生态系统可持续经营教育部重点实验室, 东北亚生物多样性研究中心, 哈尔滨 150040

收稿日期:2023-05-17 接受日期:2024-01-30 出版日期:2024-03-20 发布日期:2024-04-24
通讯作者: *(liuzl2093@126.com)
基金资助:
国家重点研发计划(2022YFD2201100);国家自然科学基金(32071533);中央高校基本科研业务费专项资金(2572022DS13)

Leaf trait variation and trade-offs among growth types of broadleaf plants in Xiao Hinggan Mountains

FAN Hong-Kun, ZENG Tao, JIN Guang-Ze, LIU Zhi-Li^*()

Center for Ecological Research, Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Asia Biodiversity Research Center, Northeast Forestry University, Harbin 150040, China

Received:2023-05-17 Accepted:2024-01-30 Online:2024-03-20 Published:2024-04-24
Contact: *(liuzl2093@126.com)
Supported by:
National Key R&D Program of China(2022YFD2201100);National Natural Science Foundation of China(32071533);Fundamental Research Funds for the Central Universities(2572022DS13)

摘要/Abstract

摘要：

植物叶功能性状的变异模式以及相关关系一直是解析植物对气候变化响应机制的关键, 然而不同生长型阔叶植物间叶片结构性状和光合生理性状变异及相关性的异同性尚不清晰。该研究以典型阔叶红松(Pinus koraiensis)林中的优势或常见的18种阔叶植物为研究对象, 通过测量4个结构性状(叶面积(LA)、叶片厚度(LT)、叶干物质含量(LDMC)和比叶质量(LMA))和4个光合生理性状(叶绿素值(SPAD)、胞间CO₂浓度(C_i)、气孔导度(G_s)和净光合速率(P_n)), 分析了在不同生长型阔叶植物叶片结构性状和光合生理性状的变异及相关性。结果表明: 不同生长型植物叶功能性状的变异范围为7.73%-74.54%, 其中种间变异是LA和LT的主要变异来源, C_i、SPAD、LDMC以及LMA的变异主要由生长型驱动, G_s和P_n变异的主要来源是种内; 不同生长型叶功能性状间存在显著差异, 其中草本的LA、LT和C_i显著高于灌木和乔木, 乔木的LMA、LDMC、SPAD、P_n和G_s显著高于灌木和草本; 不同生长型之间P_n和LMA、LDMC之间具有显著的异速生长关系, 且斜率大于1, 而SPAD和LA、LT、LDMC、LMA, C_i与LT、LDMC、LMA之间则呈斜率小于1的异速生长关系; 草本采取“快速投资-收益”型(获取型)策略, 相对而言, 乔木采取“缓慢投资-收益”型(保守型)策略, 灌木采取介于乔木与草本之间的资源利用策略, 这可能与不同生长型植物所处环境的光照条件有关。植物叶片结构性状和光合生理特征的变异及相互关系的研究对于揭示植物资源获取与分配策略具有重要意义。

关键词: 功能性状, 叶光合特性, 叶结构性状, 叶经济谱

Abstract:

Aims Patterns of leaf trait variation and correlation have long been a key aspect in unraveling plant responses to climate change. However, the specifics of how these patterns of leaf structural traits and photosynthetic physiological characteristics align and differ across growth types of broadleaf plants remain unclear.

Methods This study focused on 18 dominant or common broadleaf species in a mixed broadleaf-Korean pine (Pinus koraiensis) forest. We measured four structural traits (leaf area (LA), leaf thickness (LT), leaf dry matter content (LDMC) and leaf mass per area (LMA)) and four photosynthetic physiological traits (leaf chlorophyll value (SPAD), intercellular CO₂ concentration (C_i), stomatal conductance (G_s) and net photosynthetic rate (P_n)). We analyzed the variation and correlations between structural and physiological traits across different growth types of broadleaf plants.

Important findings Leaf functional traits displayed variation ranges spanning from 7.73% to 74.54%. Interspecific differences accounted for the majority of variability for LA and LT, while growth type primarily drove variation in C_i, SPAD, LDMC, and LMA. G_s and P_n variation originate mainly from intraspecific differences. There were significant differences among growth types for all leaf traits. Specifically, herbs showed significantly higher LA, LT, and C_i compared to shrubs and trees, trees exhibited significantly elevated LMA, LDMC, SPAD, P_n, and G_s compared to shrubs and herbs. There were significant isometric relationships between P_n and LMA, LDMC among growth types, with slopes above 1. For SPAD versus LA, LT, LDMC, LMA, along with C_i versus LT, LDMC, LMA, slopes remained under 1, indicating allometric growth relationships. Herbs displayed a resource-acquisitive strategy, while trees adopted a relatively conservative strategy. Falling intermediate, shrubs struck a balance, possibly linked to the light levels across their habitats. Investigating trade-off and connections between leaf structure and photosynthetic physiology proves critical for understanding resource acquisition and allocation mechanism in plants.

Key words: functional trait, leaf photosynthetic characteristics, leaf structural traits, leaf economic spectrum

范宏坤, 曾涛, 金光泽, 刘志理. 小兴安岭不同生长型阔叶植物叶性状变异及权衡. 植物生态学报, 2024, 48(3): 364-376. DOI: 10.17521/cjpe.2023.0137

FAN Hong-Kun, ZENG Tao, JIN Guang-Ze, LIU Zhi-Li. Leaf trait variation and trade-offs among growth types of broadleaf plants in Xiao Hinggan Mountains. Chinese Journal of Plant Ecology, 2024, 48(3): 364-376. DOI: 10.17521/cjpe.2023.0137

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链接本文: https://www.plant-ecology.com/CN/10.17521/cjpe.2023.0137

https://www.plant-ecology.com/CN/Y2024/V48/I3/364

图/表 7

表1 小兴安岭18种阔叶植物叶面积(LA)、叶片厚度(LT)、比叶质量(LMA)、叶干物质含量(LDMC)、叶绿素值(SPAD)、净光合速率(Pn)、胞间CO2浓度(Ci)以及气孔导度(Gs)的统计信息

Table 1 Statistical information of leaf area (LA), leaf thickness (LT), leaf chlorophyll value (SPAD), leaf dry matter content (LDMC), leaf mass per area (LMA), net photosynthetic rate (Pn), intercellular CO2 concentration (Ci), stomatal conductance (Gs) of 18 broadleaf plants in Xiao Hinggan Mountains

性状 Trait	极小值 Min	极大值 Max	中位数 Median	均值 Mean	标准差 SD	偏度 Skewness	峰度 Kurtosis	变异系数 ^KCV (%)
LA (cm²)	0.978	423.847	23.936	33.974	39.314	4.114	23.582	74.54
LT (10^-2 mm)	5.667	26.000	12.000	12.495	3.022	0.813	1.043	21.24
LMA (g·cm^-2)	0.001	0.010	0.004	0.004	0.002	1.026	0.860	35.03
LDMC (g·g^-1)	0.077	0.951	0.332	0.327	0.110	0.857	3.166	26.74
SPAD	13.900	56.250	40.500	39.041	6.210	-0.881	0.716	15.84
P_n (µmol·m^-2)	0.195	21.995	5.864	7.082	3.943	1.182	1.369	45.09
C_i (µmol·mol^-1)	232.922	393.615	324.072	325.852	26.829	-0.094	0.513	7.73
G_s (mol·m^-2·s^-1)	0.018	0.676	0.159	0.193	0.119	1.250	1.406	45.57

图1 小兴安岭18种阔叶植物8个叶性状变异的方差分解。Ci, 胞间CO2浓度; Gs, 气孔导度; LA, 叶面积; LDMC, 叶干物质含量; LMA, 比叶质量; LT, 叶片厚度; Pn, 净光合速率; SPAD, 叶绿素值。

Fig. 1 Variance decomposition of variation in 8 leaf traits of 18 broadleaf plants in Xiao Hinggan Mountains. Ci, intercellular CO2 concentration; Gs, stomatal conductance; LA, leaf area; LDMC, leaf dry matter content; LMA, leaf mass per area; LT, leaf thickness; Pn, net photosynthetic rate; SPAD, leaf chlorophyll value.

图2 小兴安岭不同生长型18种阔叶植物8个叶性状的变异。不同小写字母表示不同生长型的叶性状之间具有显著差异(p < 0.05)。Ci, 胞间CO2浓度; Gs, 气孔导度; LA, 叶面积; LDMC, 叶干物质含量; LMA, 比叶质量; LT, 叶片厚度; Pn, 净光合速率; SPAD, 叶绿素值。H, 草本; S, 灌木; T, 乔木。

Fig. 2 Variation of 8 leaf traits of 18 broadleaf plants among trees, shrubs and herbs in Xiao Hinggan Mountains. Different lowercase letters indicate that the leaf traits of different growth types are significantly different (p < 0.05). Ci, intercellular CO2 concentration; Gs, stomatal conductance; LA, leaf area; LDMC, leaf dry matter content; LMA, leaf mass per area; LT, leaf thickness; Pn, net photosynthetic rate; SPAD, leaf chlorophyll value. H, herb; S, shrub; T, tree.

图3 小兴安岭18种阔叶植物8种叶性状之间的Spearman相关分析热图。Ci, 胞间CO2浓度; Gs, 气孔导度; LA, 叶面积; LDMC, 叶干物质含量; LMA, 比叶质量; LT, 叶片厚度; Pn, 净光合速率; SPAD, 叶绿素值。***, p < 0.001。

Fig. 3 Correlation among 8 leaf traits of 18 broadleaf plants in Xiao Hinggan Mountains. Ci, intercellular CO2 concentration; Gs, stomatal conductance; LA, leaf area; LDMC, leaf dry matter content; LMA, leaf mass per area; LT, leaf thickness; Pn, net photosynthetic rate; SPAD, leaf chlorophyll value. ***, p < 0.001.

图4 小兴安岭不同生长型对阔叶植物叶性状相关关系的影响。如果性状没有显著相关性(p > 0.05), 则不显示线条。Ci, 胞间CO2浓度; Gs, 气孔导度; LA, 叶面积; LDMC, 叶干物质含量; LMA, 比叶质量; LT, 叶片厚度; Pn, 净光合速率; slope, 斜率; SPAD, 叶绿素值。

Fig. 4 Correlations between leaf traits of herb, shrub and tree broadleaf plants in Xiao Hinggan Mountains. If there is no significant correlation between traits (p > 0.05), lines are not displayed. Ci, intercellular CO2 concentration; Gs, stomatal conductance; LA, leaf area; LDMC, leaf dry matter content; LMA, leaf mass per area; LT, leaf thickness; Pn, net photosynthetic rate; SPAD, leaf chlorophyll value.

图5 小兴安岭乔木、灌木、草本阔叶植物叶片结构性状、生理性状和所有性状的主成分(PC)分析。A, 结构性状的主成分分析。B, 生理性状的主成分分析。C, 所有性状(8个叶性状)的主成分分析。Ci, 胞间CO2浓度; Gs, 气孔导度; LA, 叶面积; LDMC, 叶干物质含量; LMA, 比叶质量; LT, 叶片厚度; Pn, 净光合速率; SPAD, 叶绿素值。颜色用于区分植物的不同生长型。

Fig. 5 Principal component (PC) analysis of structural traits, physiological traits and total traits among tree, shrub and herb broadleaf plants in Xiao Hinggan Mountains. A, Principal component analysis for structural traits. B, Principal component analysis for physiological traits. C, Principal component analysis for all traits (eight leaf traits). Ci, intercellular CO2 concentration; Gs, stomatal conductance; LA, leaf area; LDMC, leaf dry matter content; LMA, leaf mass per area; LT, leaf thickness; Pn, net photosynthetic rate; SPAD, leaf chlorophyll value. Color is used to distinguish three different growth types.

图6 小兴安岭乔木、灌木、草本阔叶植物叶片结构性状第一主成分(PC1)、生理性状PC1和所有性状PC1之间的回归关系。A, 结构性状PC1和生理性状PC1之间的关系。B, 结构性状PC1和所有性状PC1之间的关系。C, 生理性状PC1和所有性状PC1之间的关系。slope, 斜率。

Fig. 6 Regression relationships among first principle component (PC1) of leaf structural traits, PC1 of physiological traits and PC1 of total traits among tree, shrub and herb broadleaf plants in Xiao Hinggan Mountains. A, Relationships between structural traits PC1 and physiological traits PC1. B, Relationships between structural traits PC1 and total traits PC1. C, Relationships between physiological traits PC1 and total traits PC1.

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小兴安岭不同生长型阔叶植物叶性状变异及权衡

Leaf trait variation and trade-offs among growth types of broadleaf plants in Xiao Hinggan Mountains

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