北京百花山华北落叶松群落主要木本植物的叶性状变异及适应策略

doi:10.11707/j.1001-7488.LYKX20220864

Abstract

Abstract:

Objective: This stusy aims to examine the trade-offs between leaf traits, including chemical-, structural- and photosynthetic traits, and the relationship between leaf chemical- and structural traits and photosynthetic traits. Method: In the community, the dominant main woody species include Larix principis-rupprechtii, three broad-leaved trees, Fraxinus chinensis, Phellodendron amurense and Acer pictumsubsp.mono, and two shrubs, Lespedeza bicolorand Spiraea salicifolia. The 13 leaf traits were measured for the woody species in the L. principis-rupprechtii community in Bahushan, Beijing using portable analyzer during July-August in 2021. Photosynthetic traits included maximum net photosynthetic rate (P_nmax), saturation irradiance (I_sat), dark respiration rate (R_d), saturation intercellular CO₂ concentration (Ci_sat), maximum rate of carboxylation (V_cmax), maximum potential rate of electron transport (J_max), water use efficiency (WUE), and photosynthetic nitrogen-use efficiency (PNUE). The structural traits were leaf thickness (LT), specific leaf area (SLA), and leaf tissue density (LTD). The chemical traits were carbon-nitrogen ratio (C∶N), and nitrogen-phosphorus ratio (N∶P). One-way analysis of variance, Spearman correlation analysis, principal component analysis and linear regression were used to analyze the correlation of leaf traits and the effects of leaf chemical and structural traits on photosynthetic traits in the L. principis-rupprechtii community. Result: 1) The PNUE and SLA showed the largest inter-species variation with variation coefficient of 60.88% and 56.83%, respectively, indicating that the species in the commnuity competed for light resource. 2) Shrubs had higher SLA in order to increase light acquisition ability on vertical structure in the community. Meanwhile, N∶P in tree leaves was 14.58, while that in shrub leaves was 21.10. Compared with trees, shrubs had lower C∶N, but higher N∶P, indicating that the shrub allocated more nitrogen into leaf to obtain light and maintain growth. 3) C∶N, N∶P and SLA were 18.19, 16.04 and 193.77 cm²·g^?1 in broad-leaved trees, respectively, and were 39.6, 10.2 and 82.2 cm²·g^?1 in needle-leaved trees, respectively. Compared with broad-leaved trees, the needle-leaved trees had higher C∶N, but lower N∶P and SLA, indicating that the needle-leaved trees tended to construct the more defensive organization and had higher resistance to stress and lower light interception capability. 4) L. principis-rupprechtii was located at “slow investment-return”, shrubs were at “fast investment-return” in leaf economic spectrum. L. principis-rupprechtii had higher WUE but lower PNUE, suggesting that the trade-off between WUE and PNUE occurred, with WUE increasing at the expense of PNUE. 5) Compared with other broad-leaved trees and shrubs, the P_nmax of A. pictum subsp. mono and S. salicifolia were not obviously higher, but the R_d were significantly lower than other species. 6) The I_sat, R_d WUE and PNUE were significantly correlated with C∶N, LT and SLA (P<0.05). Conclusion: These results suggest that there is obvious leaf economics spectrum existed across the woody species in the community, and the interspecific competition is mainly for light resource. Although A. pictum subsp. mono and S. salicifolia are not the dominant species in the community, their net carbon sequestration capacity in per unit area is stronger than other species. The C∶N, LT and SLA can be used as the indicators predicting the photosynthetic capacity. Species with higher C∶N, LT and lower SLA have higher tolerance to strong light and higher water use efficiency, but have stronger utilization of weak light and less carbon consumption. Meanwhile, photosynthetic nitrogen utilization efficiency is lower. The results can provide theoretical support for subsequent forest management.

Key words: leaf, chemical trait, structural trait, photosynthetic trait, trade-off, light response curve, CO₂ response curve

CLC Number:

S718.43

Xinyue Liu,Liping Wang,Chunhe Liu,Yanli Sun,Xiaoshuai Wei,Mingze Xu,Cong Han,Yun Tian,Xin Jia,Tianshan Zha. Variation and Adaptation Strategies in Leaf Traits of Main Woody Plants in the Larix principis-rupprechtii Community in Baihua Mountain, Beijing[J]. Scientia Silvae Sinicae, 2023, 59(7): 12-23.

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物种 Species	郁闭度/盖度 Crown density/ coverage (%)	平均树高 Average height/m	平均胸径 Average diameter at breast height/cm
华北落叶松 Larix principis-rupprechtii	43	19.83	23.01
白蜡 Fraxinus chinensis	43	12.57	31.57
黄檗 Phellodendron amurense	43	7.67	9.33
五角枫 Acer pictum subsp. mono	43	15.06	19.63
胡枝子 Lespedeza bicolor	12.6	1.27	2.00
绣线菊 Spiraea salicifolia	7.2	0.96	3.22

性状 Traits	平均值（±标准差） Mean (±SD)	最大值 Max.	最小值 Min.	变异系数 Coefficient variation（%）
最大净光合速率Maximum net photosynthetic rate（P_nmax）/(μmol·m^?2s^?1)	10.40±0.83	18.42	4.99	32.96
饱和光强Saturation irradiance（I_sat）/(μmol·m^?2s^?1)	1131.63±74.44	1649.31	561.89	27.12
暗呼吸速率Dark respiration rate（R_d）/(μmol·m^?2s^?1)	0.90±0.09	1.42	0.47	39.10
饱和胞间二氧化碳浓度Saturation intercellular CO₂ concentration （Ci_sat）/(μmol·mol^?1)	1176.06±52.78	1843.73	908.90	18.50
最大羧化速率Maximum rate of carboxylation（V_cmax）/(μmol·m^?2s^?1)	44.17±3.86	80.45	24.63	36.00
最大电子传递速率Maximum potential rate of electron transport（J_max）/(μmol·m^?2s^?1)	83.93±6.86	148.82	51.16	33.69
水分利用效率Water use efficiency（WUE）/(μmol·mmol^?1)	5.60±0.42	9.31	2.17	32.08
光合氮利用效率Photosynthetic nitrogen-use efficiency（PNUE）/(μmol·g^?1s^?1)	8.88±1.27	22.88	2.71	60.88
碳氮比Carbon-nitrogen ratio（C∶N）	22.01±2..35	50.30	13.00	48.03
氮磷比Nitrogen-phosphorus ratio （N∶P）	16.76±1.28	27.00	7.49	34.37
叶厚Leaf thickness （LT/mm）	0.33±0.0.4	0.71	0.17	36.98
比叶面积Specific leaf area（SLA）/( cm²·g^?1)	205.58±22.27	405.73	66.30	56.83
叶组织密度Leaf tissue density（LTD）/( g·cm^?3)	0.39±0.01	0.49	0.30	32.61

	氮磷比 Nitrogen-phosphorus ratio(N∶P)	叶厚 Leaf thickness (LT)	比叶面积 Specific leaf area(SLA)	叶组织密度 Leaf tissue density(LTD)
碳氮比 Carbon-nitrogen ratio（C∶N）	?0.40	0.26	?0.04	?0.33
氮磷比 Nitrogen-phosphorus ratio（N∶P）	—	?0.63**	0.63**	?0.24
叶厚 Leaf thickness（LT）	—	—	?0.72**	?0.11
比叶面积 specific leaf area（SLA）	—	—	—	?0.52*

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Variation and Adaptation Strategies in Leaf Traits of Main Woody Plants in the Larix principis-rupprechtii Community in Baihua Mountain, Beijing

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