武夷山49种木本植物叶片与细根经济谱

doi:10.17521/cjpe.2020.0280

植物生态学报 ›› 2021, Vol. 45 ›› Issue (3): 242-252.DOI: 10.17521/cjpe.2020.0280

武夷山49种木本植物叶片与细根经济谱

王钊颖¹, 陈晓萍¹, 程英², 王满堂³, 钟全林¹^,⁴, 李曼¹, 程栋梁¹^,⁴^,^*()

¹福建师范大学福建省植物生理生态重点实验室, 福州 350007
²江西武夷山国家级自然保护区管理局, 江西上饶 334500
³枣庄学院城市与建筑工程学院, 山东枣庄 277160
⁴福建师范大学地理研究所, 福州 350007

收稿日期:2020-08-14 接受日期:2021-01-26 出版日期:2021-03-20 发布日期:2021-05-17
通讯作者: 程栋梁
作者简介:* (chengdl02@aliyun.com)
基金资助:
国家自然科学基金(32071555);国家自然科学基金(31722007);国家自然科学基金(31971643);国家重点研发计划(2017YFC0505400);福建省杰出青年滚动项目(2018J07003)

Leaf and fine root economics spectrum across 49 woody plant species in Wuyi Mountains

WANG Zhao-Ying¹, CHEN Xiao-Ping¹, CHENG Ying², WANG Man-Tang³, ZHONG Quan-Lin¹^,⁴, LI Man¹, CHENG Dong-Liang¹^,⁴^,^*()

¹Fujian Provincial Key Laboratory of Plant Eco-physiology, Fujian Normal University, Fuzhou 350007, China
²Administrative Bureau of Jiangxi Wuyishan National Nature Reserve, Shangrao, Jiangxi 334500, China
³School of City and Architecture Engineering, Zaozhuang University, Zaozhuang, Shandong 277160, China
⁴Institute of Geography, Fujian Normal University, Fuzhou 350007, China

Received:2020-08-14 Accepted:2021-01-26 Online:2021-03-20 Published:2021-05-17
Contact: CHENG Dong-Liang
Supported by:
National Natural Science Foundation of China(32071555);National Natural Science Foundation of China(31722007);National Natural Science Foundation of China(31971643);National Key R&D Program of China(2017YFC0505400);Fujian Natural Science Funds for Distinguished Young Scholars(2018J07003)

1. 附录 I 武夷山不同群落的物种类群概况.pdf(218KB)

摘要/Abstract

摘要：

植物经济谱能够阐述维管植物在资源获取和储存之间的权衡策略, 为理解生态位分化和物种共存机制等提供科学依据。该研究通过对武夷山49种木本植物的单叶面积(ILA)、比叶面积(SLA)、叶碳含量(LCC)、叶氮含量(LNC)和叶磷含量(LPC)等5个叶片性状以及根组织密度(RTD)、比根长(SRL)、比根面积(SRA)、根碳含量(RCC)、根氮含量(RNC)和根磷含量(RPC)等6个细根性状进行测定, 探讨木本植物叶片与细根经济谱是否存在以及常绿和落叶物种间的植物经济谱差异。结果表明: 沿着性状贡献率相对较大的PC1轴, 能够定义出叶经济谱(LES)、根经济谱(RES)和整株植物经济谱(WPES)。大部分常绿物种分布在经济谱保守的一侧, 而大部分落叶物种聚集在获取的一侧。此外, 叶片PC1、细根PC1和整株植物PC1的两两得分之间均存在显著正相关关系, 常绿和落叶物种具有共同的异速指数, 但不存在共同的异速常数。这些结果揭示了亚热带物种叶片与细根的策略遵循着WPES的协调整合, 表明叶片、细根以及整株植物之间是采取协同变化的资源策略, 而分布于经济谱两端的常绿和落叶物种则是通过不同的方式来构建WPES。

关键词: 权衡策略, 常绿物种, 落叶物种, 植物功能性状, 植物经济谱, 武夷山

Abstract:

Aims The plant economics spectrum would explain the trade-off strategies of vascular plants between resource acquisition and resource storage, and provide a scientific basis for understanding the mechanisms of niche differentiation and species coexistence.
Methods In this study, we measured leaf/root traits of 49 woody plants species in Wuyi Mountains, including individual leaf area (ILA), specific leaf area (SLA), leaf carbon content (LCC), leaf nitrogen content (LNC) and leaf phosphorus content (LPC), root tissue density (RTD), specific root length (SRL), specific root surface area (SRA), root carbon content (RCC), root nitrogen content (RNC) and root phosphorus content (RPC). Then, we detected if the leaf and fine root economics spectrum of the plants exist, and analyzed the differences of the plant economics spectrum between evergreen and deciduous species.
Important findings The results showed that along the PC1 axis, a leaf economics spectrum (LES), a root economics spectrum (RES) and a whole-plant economics spectrum (WPES) can be defined, respectively. Most of the evergreen species were on the conservative side, while deciduous species, on the acquisitive side of the economics spectrum. There were significant positive correlations among the scores of leaf PC1, root PC1 and whole-plant PC1. In the relationships, evergreen and deciduous species shared common scaling exponents, but common scaling constants lack, revealing that the leaf and root strategies of the subtropical species are coordinated toward the integration of WPES. The evergreen and deciduous species distributed at different sides of the economics spectrum are in different ways to construct the WPES.

Key words: trade-off strategy, evergreen species, deciduous species, plant functional traits, plant economics spectrum, Wuyi Mountains

王钊颖, 陈晓萍, 程英, 王满堂, 钟全林, 李曼, 程栋梁. 武夷山49种木本植物叶片与细根经济谱. 植物生态学报, 2021, 45(3): 242-252. DOI: 10.17521/cjpe.2020.0280

WANG Zhao-Ying, CHEN Xiao-Ping, CHENG Ying, WANG Man-Tang, ZHONG Quan-Lin, LI Man, CHENG Dong-Liang. Leaf and fine root economics spectrum across 49 woody plant species in Wuyi Mountains. Chinese Journal of Plant Ecology, 2021, 45(3): 242-252. DOI: 10.17521/cjpe.2020.0280

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链接本文: https://www.plant-ecology.com/CN/10.17521/cjpe.2020.0280

https://www.plant-ecology.com/CN/Y2021/V45/I3/242

图/表 7

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群落 Community	林分密度 Stand density (trees·hm^-2)	平均胸径 Mean DBH (cm)	平均树高 Mean height (m)	土壤总碳含量 Soil total C content (mg·g^-1)	土壤总氮含量 Soil total N content (mg·g^-1)	土壤总磷含量 Soil total P content (mg·g^-1)
EF	3 033.33 ± 200.00 ^a	13.77 ± 1.46 ^b	7.87 ± 0.07 ^b	68.88 ± 0.59 ^a	4.84 ± 0.04 ^a	0.46 ± 0.01 ^b
MF	1 133.33 ± 164.15 ^b	21.39 ± 0.80 ^a	10.56 ± 0.21 ^a	78.71 ± 4.36 ^a	5.25 ± 0.27 ^a	0.38 ± 0.02 ^c
DF	2 725.00 ± 163.94 ^a	11.47 ± 0.67 ^b	6.94 ± 0.24 ^b	75.16 ± 5.23 ^a	6.05 ± 0.22 ^a	0.65 ± 0.01 ^a

群落 Community	林分密度 Stand density (trees·hm^-2)	平均胸径 Mean DBH (cm)	平均树高 Mean height (m)	土壤总碳含量 Soil total C content (mg·g^-1)	土壤总氮含量 Soil total N content (mg·g^-1)	土壤总磷含量 Soil total P content (mg·g^-1)
EF	3 033.33 ± 200.00 ^a	13.77 ± 1.46 ^b	7.87 ± 0.07 ^b	68.88 ± 0.59 ^a	4.84 ± 0.04 ^a	0.46 ± 0.01 ^b
MF	1 133.33 ± 164.15 ^b	21.39 ± 0.80 ^a	10.56 ± 0.21 ^a	78.71 ± 4.36 ^a	5.25 ± 0.27 ^a	0.38 ± 0.02 ^c
DF	2 725.00 ± 163.94 ^a	11.47 ± 0.67 ^b	6.94 ± 0.24 ^b	75.16 ± 5.23 ^a	6.05 ± 0.22 ^a	0.65 ± 0.01 ^a

性状 Trait	单位 Unit	平均值(±标准误) Mean (±SE)	最大值 Max	最小值 Min	变异系数 CV
ILA	cm²	22.98 ± 1.68	56.03	0.24	56.79
SLA	cm²·g^-1	164.54 ± 8.45	386.95	79.54	39.78
LCC	mg·g^-1	477.56 ± 3.32	525.14	371.38	5.39
LNC	mg·g^-1	21.07 ± 0.88	38.75	9.54	32.36
LPC	mg·g^-1	1.34 ± 0.05	2.40	0.66	27.91
RTD	g·cm^-3	0.10 ± 0.003	0.18	0.05	24.23
SRL	cm·g^-1	1 809.01 ± 56.49	3 284.93	749.73	24.19
SRA	cm²·g^-1	477.00 ± 11.31	825.78	283.10	18.37
RCC	mg·g^-1	481.55 ± 3.48	526.99	374.11	5.60
RNC	mg·g^-1	10.19 ± 0.47	27.14	5.88	35.56
RPC	mg·g^-1	0.60 ± 0.02	1.34	0.27	32.31

性状 Trait	单位 Unit	平均值(±标准误) Mean (±SE)	最大值 Max	最小值 Min	变异系数 CV
ILA	cm²	22.98 ± 1.68	56.03	0.24	56.79
SLA	cm²·g^-1	164.54 ± 8.45	386.95	79.54	39.78
LCC	mg·g^-1	477.56 ± 3.32	525.14	371.38	5.39
LNC	mg·g^-1	21.07 ± 0.88	38.75	9.54	32.36
LPC	mg·g^-1	1.34 ± 0.05	2.40	0.66	27.91
RTD	g·cm^-3	0.10 ± 0.003	0.18	0.05	24.23
SRL	cm·g^-1	1 809.01 ± 56.49	3 284.93	749.73	24.19
SRA	cm²·g^-1	477.00 ± 11.31	825.78	283.10	18.37
RCC	mg·g^-1	481.55 ± 3.48	526.99	374.11	5.60
RNC	mg·g^-1	10.19 ± 0.47	27.14	5.88	35.56
RPC	mg·g^-1	0.60 ± 0.02	1.34	0.27	32.31

性状 Trait	lg ILA	lg SLA	lg LCC	lg LNC	lg LPC	lg RTD	lg SRL	lg SRA	lg RCC	lg RNC
lg SLA	0.107
lg LCC	-0.075	-0.367^**
lg LNC	0.140	0.708^**	-0.253
lg LPC	-0.003	0.458^**	0.018	0.776^**
lg RTD	-0.037	-0.24	0.022	-0.295^*	-0.236
lg SRL	0.276^*	0.014	-0.077	0.003	-0.116	-0.200
lg SRA	0.202	0.163	-0.074	0.199	0.081	-0.777^**	0.768^**
lg RCC	-0.049	-0.114	0.596^**	-0.094	0.036	0.078	-0.119	-0.163
lg RNC	-0.006	0.147	-0.113	0.413^**	0.310^*	-0.462^**	0.192	0.435^**	-0.224
lg RPC	-0.081	0.194	-0.207	0.362^**	0.310^*	-0.572^**	0.113	0.451^**	-0.381^**	0.786^**

武夷山49种木本植物叶片与细根经济谱

Leaf and fine root economics spectrum across 49 woody plant species in Wuyi Mountains

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性状 Trait		叶片 Leaf		细根 Fine root		整株植物 Whole-plant
性状 Trait		PC1	PC2	PC1	PC2	PC1	PC2
叶片 Leaf	lg ILA	-0.094	0.283^*			-0.039	-0.003
	lg SLA	-0.843^**	-0.159			-0.550^**	0.535^**
	lg LCC	0.382^**	0.797^**			0.385^**	-0.124
	lg LNC	-0.931^**	0.132			-0.679^**	0.593^**
	lg LPC	-0.776^**	0.433^**			-0.502^**	0.608^**
细根 Fine root	lg RTD			0.775^**	0.100	0.698^**	0.284^*
	lg SRL			-0.545^**	-0.666^**	-0.344^**	-0.641^**
	lg SRA			-0.862^**	-0.478^**	-0.684^**	-0.596^**
	lg RCC			0.385^**	-0.372^**	0.408^**	0.109
	lg RNC			-0.760^**	0.419^**	-0.754^**	-0.098
	lg RPC			-0.801^**	0.471^**	-0.791^**	-0.111

主成分分析 PCA	轴 Axis	叶习性 Leaf habit		显著性检验 Significance test
主成分分析 PCA	轴 Axis	常绿 Evergreen	落叶 Deciduous	t	p
叶片 Leaf	PC1	0.93 ± 0.19 ^a	-1.06 ± 0.24 ^b	6.569	0
叶片 Leaf	PC2	-0.04 ± 0.23 ^a	0.05 ± 0.12 ^a	-0.364	0.717
细根 Fine root	PC1	0.27 ± 0.30 ^a	-0.31 ± 0.32 ^a	1.340	0.185
细根 Fine root	PC2	-0.14 ± 0.23 ^a	0.16 ± 0.19 ^a	-0.998	0.322
整株植物 Whole-plant	PC1	0.76 ± 0.31 ^a	-0.87 ± 0.31 ^b	3.694	0
整株植物 Whole-plant	PC2	-0.58 ± 0.23 ^b	0.67 ± 0.23 ^a	-3.833	0

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