Ecological Stoichiometry and Homeostasis of Alpine Quercus semicarpifolia Leaves in Subalpine Zone of Hengduan Mountains

doi:10.7525/j.issn.1673-5102.2023.06.014

Abstract

Abstract:

To reveal the ecological adaptation mechanism of Quercus semicarpifolia in the subalpine zone of the Hengduan Mountains， the leaves and growing soil of eight plots were selected， and the C， N and P contents and their stoichiometric characteristics of leaves and growing substrate soil were measured， and the growth-limiting elements were determined. The ecological stoichiometry homeostasis model was used to determine the state of the alpine Quercus leaves. The soil C， N and P contents of the selected eight plots ranged from 38.86-70.19， 3.54-9.46 and 0.61-2.05 g?kg^-1， with soil ω（C）∶ω（N） 5.65-16.07， ω（C）∶ω（P） 36.98-74.42 and ω（N）∶ω（P） 4.41-12.90， mean values were 9.48， 51.79 and 6.54， respectively. Leaf C， N and P contents ranged from 428.31-473.86， 21.22-31.68 and 2.21-3.68 g?kg^-1， leaf ω（C）∶ω（N）， ω（C）∶ω（P）， and ω（N）∶ω（P） were 14.16-22.46， 121.41-215.86 and 6.99-12.84， with mean values of 17.36， 164.39 and 9.68， respectively. The alpine Quercus leaf N and P contents were higher than the global average. Leaf N and soil P， leaf N and soil ω（C）∶ω（N）， leaf ω（C）∶ω（P） and soil ω（N）∶ω（P）， leaf ω（C）∶ω（N） and soil ω（N）∶ω（P）， and leaf ω（C）∶ω（P） and leaf ω（N）∶ω（P） were highly significantly and positively correlated in each plot （P<0.01）. In addition，the leaf stoichiometric homeostasis index of alpine Quercus were probed in terms of 1/H absolute values， while 1/H_ω_（N） was -0.181-0.141， 1/H_ω_（P）was -1.255-1.206， and 1/H_［_ω_（N）∶_ω_（P）］was 0.391-0.960. The results indicated that each alpine Quercus 1/H_ω_（N） was in the homeostasis state， 1/H _ω_（P） and 1/H_［_ω_（N）∶_ω_（P）］ were mostly in the weakly homeostasis state， weakly sensitive and sensitive state. Leaf ω（N）∶ω（P） ratio was less than or close to 16， illustrating that alpine Quercus in this region tended to be not deficient in both N and P elements. Alpine Quercus might overstore N and P elements to adapt to the changing external habitat， but still had a more conservative strategy for the use of external P elements. The alpine Quercus forests in this region had formed a good nutrient supply and return relationship with the soil in the long-term succession process， which had formed a relatively complete and stable subalpine forest ecosystem.

Key words: alpine Quercus of HengDuan mountain, ecological stoichiometric characteristics, homeostasis, correlation, adaptive mechanisms of ecology

CLC Number:

Q945.31

Hongbo LI, Shi CHEN, Yaohua HUANG, Dingxu KANG, Jianrong WU, Huancheng MA. Ecological Stoichiometry and Homeostasis of Alpine Quercus semicarpifolia Leaves in Subalpine Zone of Hengduan Mountains[J]. Bulletin of Botanical Research, 2023, 43(6): 923-931.

Figures/Tables 4

Table 1

Table 2

Stoichiometric characteristics of C，N and P in soil and leaves of each Quercus forests sample site

样地编号 Sample site No.		有机碳质量分数 ω（SOC）/（g∙kg^-1）	全氮质量分数 ω（TN）/（g∙kg^-1）	全磷质量分数 ω（TP）/（g∙kg^-1）	碳氮比 ω（C）∶ω（N）	碳磷比 ω（C）∶ω（P）	氮磷比 ω（N）∶ω（P）
土壤 Soil	GSL1	70.19±10.05	9.46±1.47	2.05±0.69	7.43±0.22	36.98±14.13	4.95±1.77
	GSL2	61.79±7.60	7.63±1.79	1.43±0.35	8.46±2.64	44.07±6.14	5.48±1.59
	GSL3	38.86±10.73	6.39±3.05	0.79±0.13	7.51±4.52	49.96±13.25	7.86±2.99
	GSL4	43.34±8.46	4.29±1.70	0.61±0.17	12.04±7.68	74.42±22.72	7.22±2.91
	GSL5	45.76±7.00	8.32±1.29	0.77±0.19	5.65±1.55	60.23±6.47	12.90±3.65
	GSL6	53.92±10.72	3.54±0.94	0.80±0.12	16.07±5.33	67.71±10.82	4.41±0.91
	GSL7	44.27±7.26	4.88±1.05	1.05±0.10	9.62±3.84	42.87±9.94	4.65±0.81
	GSL8	58.14±9.36	7.49±3.67	1.55±0.18	9.06±4.56	38.09±9.14	4.85±2.50
平均值Mean		52.03	6.67	1.13	9.48	51.79	6.54
标准差Standard deviation		12.49	2.77	0.52	4.79	17.07	2.86
变异系数Coefficient of variation/%		22.07	41.53	46.02	50.53	32.96	43.73
样地编号 Sample site No.		有机碳质量分数 ω（SOC）/（g∙kg^-1）	全氮质量分数 ω（TN）/（g∙kg^-1）	全磷质量分数 ω（TP）/（g∙kg^-1）	碳氮比 ω（C）∶ω（N）	碳磷比 ω（C）∶ω（P）	氮磷比 ω（N）∶ω（P）
叶片 Leaf	GSL1	443.46±12.65	31.47±2.26	2.46±0.41	14.16±1.44	180.70±14.52	12.84±1.54
	GSL2	438.51±5.73	28.51±2.63	2.67±0.36	15.47±1.54	165.28±18.55	10.82±2.16
	GSL3	461.09±3.72	24.97±0.74	3.06±0.66	18.48±0.70	155.82±36.67	8.44±2.01
	GSL4	471.78±10.71	23.95±4.17	2.21±0.33	20.17±4.10	215.86±26.98	11.11±3.06
	GSL5	473.86±7.61	21.22±1.99	2.53±0.23	22.46±2.10	188.29±14.09	8.43±1.04
	GSL6	438.21±8.36	25.33±3.46	3.68±0.59	17.48±1.98	121.41±20.83	6.99±1.29
	GSL7	470.69±11.94	31.68±2.35	2.94±0.30	14.90±0.99	160.90±16.48	10.88±1.86
	GSL8	428.31±25.55	27.14±2.12	3.51±0.89	15.82±1.14	126.82±29.85	7.95±1.33
平均值Mean		453.24	26.79	2.89	17.36	164.39	9.68
标准差Standard deviation		19.76	4.04	0.63	3.20	34.96	2.42
变异系数Coefficient of variation/%		4.36	15.10	21.80	16.98	21.27	25.03

Table 2

Fig.1

Table 3

Ecological stoichiometric homeostasis characteristics of Quercus alpine samples

样本编号 Sample No.	1/H_ω_（N） R²=0.022 C=26.695 P<0.05	是否稳态 Whether homeostasis	以绝对值探讨 WHDIAV	1/H_ω_（P） R²=0.104 C=2.802 P<0.05	是否稳态 Whether homeostasis	以绝对值探讨 WHDIAV	1/H_［_ω_（N）∶_ω_（P）］ R²=0.012 C=9.566 P<0.05	是否稳态 Whether homeostasis	以绝对值探讨 WHDIAV
平均值Mean	-0.002	—	稳态homeostasis	0.009	稳态homeostasis	稳态homeostasis	0.586	弱敏感weakly sensitive	弱敏感weakly sensitive
gsl1-1	0.085	稳态homeostasis	稳态homeostasis	0.656	弱敏感weakly sensitive	弱敏感weakly sensitive	0.430	弱稳态Weakly homeostasis	弱稳态Weakly homeostasis
gsl1-2	0.037	稳态homeostasis	稳态homeostasis	0.395	弱稳态weakly homeostasis	弱稳态weakly homeostasis	0.596	弱敏感weakly sensitive	弱敏感weakly sensitive
gsl1-3	0.097	稳态homeostasis	稳态homeostasis	1.206	敏感sensitive	敏感sensitive	0.389	弱稳态weakly homeostasis	弱稳态weakly homeostasis
gsl2-1	-0.005	—	稳态homeostasis	0.513	弱敏感weakly sensitive	弱敏感weakly sensitive	0.562	弱敏感weakly sensitive	弱敏感weakly sensitive
gsl2-2	0.021	稳态homeostasis	稳态homeostasis	0.362	弱稳态weakly homeostasis	弱稳态weakly homeostasis	0.443	稳态homeostasis	稳态homeostasis
gsl2-3	0.079	稳态homeostasis	稳态homeostasis	0.104	稳态homeostasis	稳态homeostasis	0.594	弱敏感weakly sensitive	弱敏感weakly sensitive
gsl3-1	-0.021	—	稳态homeostasis	-0.097	—	稳态homeostasis	0.771	敏感sensitive	敏感sensitive
gsl3-2	-0.090	—	稳态homeostasis	-0.379	—	弱稳态weakly homeostasis	0.557	弱敏感weakly sensitive	弱敏感weakly sensitive
gsl3-3	-0.027	—	稳态homeostasis	-0.201	—	稳态homeostasis	0.753	敏感sensitive	敏感sensitive
gsl4-1	-0.181	—	稳态homeostasis	-0.262	—	弱稳态weakly homeostasis	0.727	弱敏感weakly sensitive	弱敏感weakly sensitive
gsl4-2	0.030	稳态homeostasis	稳态homeostasis	-0.596	—	弱敏感weakly sensitive	0.429	弱稳态weakly homeostasis	弱稳态weakly homeostasis
gsl4-3	-0.043	—	稳态homeostasis	-1.255	—	敏感sensitive	0.684	弱敏感weakly sensitive	弱敏感weakly sensitive
gsl5-1	-0.145	—	稳态homeostasis	-0.041	—	稳态homeostasis	0.747	敏感sensitive	敏感sensitive
gsl5-2	-0.063	—	稳态homeostasis	-0.263	—	弱稳态weakly homeostasis	0.762	敏感sensitive	敏感sensitive
gsl5-3	-0.122	—	稳态homeostasis	-0.645	—	弱敏感weakly sensitive	0.960	敏感sensitive	敏感sensitive
gsl6-1	-0.067	—	稳态homeostasis	-0.075	—	稳态homeostasis	0.492	弱稳态weakly homeostasis	弱稳态weakly homeostasis
gsl6-2	0.096	稳态homeostasis	稳态homeostasis	-0.274	—	弱稳态weakly homeostasis	0.476	弱稳态weakly homeostasis	弱稳态weakly homeostasis
gsl6-3	-0.119	—	稳态homeostasis	-0.160	—	稳态homeostasis	0.678	弱敏感weakly sensitive	弱敏感weakly sensitive
gsl7-1	0.134	稳态homeostasis	稳态homeostasis	0.152	稳态homeostasis	稳态homeostasis	0.483	弱稳态weakly homeostasis	弱稳态weakly homeostasis
gsl7-2	0.141	稳态homeostasis	稳态homeostasis	-0.000	—	稳态homeostasis	0.427	弱稳态weakly homeostasis	弱稳态weakly homeostasis
gsl7-3	0.054	稳态homeostasis	稳态homeostasis	-0.018	—	稳态homeostasis	0.546	弱敏感weakly sensitive	弱敏感weakly sensitive
gsl8-1	0.073	稳态homeostasis	稳态homeostasis	0.229	稳态homeostasis	稳态homeostasis	0.391	弱稳态weakly homeostasis	弱稳态weakly homeostasis
gsl8-2	-0.025	—	稳态homeostasis	0.493	弱稳态weakly homeostasis	弱稳态weakly homeostasis	0.490	弱稳态weakly homeostasis	弱稳态weakly homeostasis
gsl8-3	-0.003	—	稳态homeostasis	0.362	稳态homeostasis	弱稳态weakly homeostasis	0.682	弱敏感weakly sensitive	弱敏感weakly sensitive

Table 3

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群落 Community	采集地经纬度 Latitude & Longitude	海拔 Altitude/m	坡度 Slope/（°）	采集日期 Acquisition time	样地编号 Sample site No.
高山栎Quercus	28°50′7″N，99°29′17″E	2 610	33	2020-10-22	GSL1
高山栎Quercus	28°41′21″N，99°33′13″E	2 340	3	2020-10-22	GSL2
高山栎Quercus	29°32′20″N，100°42′37″E	2 230	12	2020-10-23	GSL3
高山栎Quercus	28°5′37″N，99°48′55″E	2 650	4	2020-10-24	GSL4
高山栎Quercus	29°13′31″N，98°11′29″E	2 970	12	2020-10-22	GSL5
高山栎Quercus	31°43′28″N，102°16′38″E	2 310	28	2020-10-16	GSL6
高山栎Quercus	30°59′35″N，102°50′18″E	2 340	30	2020-10-18	GSL7
高山栎Quercus	31°52′42″N，101°8′42″E	3 040	48	2020-10-20	GSL8

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[3]	Weiwei ZHUANG, Mingming WANG. Comparative Analysis of Nutrient Elements of Eight Herbaceous Plants in Desert Area [J]. Bulletin of Botanical Research, 2022, 42(5): 896-909.
[4]	Mingming Wang, Weiwei Zhuang. The Stoichiometric Characteristics of Desert Ephemeral Plants in Different Growth Periods and Its Association with Soil Factors [J]. Bulletin of Botanical Research, 2022, 42(1): 138-150.
[5]	TAN Yong-Jia, GAO Cui-Fang, CHEN Xue-Lin. Comparison of Essential Oil Components in Ajania tenuifolia(Jacq.) Tzvel. at Different Altitudes [J]. Bulletin of Botanical Research, 2020, 40(5): 782-788.
[6]	CAI Nian-Hui, WANG Da-Wei, HUANG Wen-Xue, WU Jun-Wen, WANG Jun-Min, CHEN Shi, XU Yu-Lan, DUAN An-An. Correlation and Path Analysis on Growth Traits and Biomass of Pinus yunnanensis Seedlings [J]. Bulletin of Botanical Research, 2019, 39(6): 853-862.
[7]	ZHOU Li-Jun, YU Chao, CHANG Xiao, WAN Hui-Hua, LUO Le, PAN Hui-Tang, ZHANG Qi-Xiang. Variation Analysis of Phenotypic Traits in F₁ Population of Rosa spp [J]. Bulletin of Botanical Research, 2019, 39(1): 131-138.
[8]	CHANG Bo-Wen, LIU Jie, ZHONG Peng, GUO Xiao-Rui. Effects of Exogenous Ethylene on Physiology and Alkaloid Accumulations in Catharanthus roseus [J]. Bulletin of Botanical Research, 2018, 38(2): 284-291.
[9]	HUNG Wen-Juan, JIAO Pei-Pei, HUANG Jin-Hua, ZHANG Dan. Leaf Anatomical Structure of Populus euphratica in Tarim River Basin [J]. Bulletin of Botanical Research, 2016, 36(5): 669-675.
[10]	LI Hui, WANG Bai-Tian, CAO Yuan-Bo, LIU Qing-Qing, LI De-Ning. Difference Feature of Planted Vegetation Biomass and Litter Biomass for Three Plantations and Their Relationship with Soil Nutrients in Lvliang Mountainous Region [J]. Bulletin of Botanical Research, 2016, 36(4): 573-580.
[11]	LUO Meng, HU Jiao-Yang, SONG Zhuo-Yue, MU Fan-Song, YU Xue-Ying, QIAO Qi, RUAN Xin, YANG Xuan, ZU Yuan-Gang. Seasonal Variation of Total Flavonoids from Crataegus pinnatifida and Correlation Analysis of Climatic Factors [J]. Bulletin of Botanical Research, 2016, 36(3): 476-480.
[12]	XU Bin1；PENG Li-Xia2；YANG Hui-Xiao1；PAN Wen1；ZHANG Fang-Qiu1. Genetic Diversity Analysis for Leaf Main Traits of Camellia azalea* [J]. Bulletin of Botanical Research, 2015, 35(5): 730-734.
[13]	LIU Dian-Kun1；LIU Meng-Ran1；LI Zhi-Xin1；WANG Guang-Yu2；LI Ying1；ZHENG Mi1；LIU Gui-Feng1；ZHAO Xi-Yang1. Variation Analysis of Growth Traits of Transgenic Populus simonii×P.nigra* Clones Carrying TaLEA Gene [J]. Bulletin of Botanical Research, 2015, 35(4): 540-546.
[14]	YANG Qing-Xiao；ZHU Liang-Jun；WANG Xiao-Chun. Development of Pinus koraiensis Tree-ring Chronology and Master Year Analysis in Liangshui National Natural Reserve,China [J]. Bulletin of Botanical Research, 2015, 35(3): 418-424.
[15]	OU Zhi-Yang;;ZHU Ji-Yu;;PENG Yu-Hua;;HE Qin-Fei;;PANG Shi-Long;. Relationship between Plant Diversity and Environmental Factors of Excentrodendron hsienmu Community in Karst Mountains in Pinguo County,Guangxi [J]. Bulletin of Botanical Research, 2014, 34(2): 204-211.