南岭山地不同海拔土壤生态化学计量特征及影响因素

doi:10.16258/j.cnki.1674-5906.2023.01.009

生态环境学报 ›› 2023, Vol. 32 ›› Issue (1): 80-89.DOI: 10.16258/j.cnki.1674-5906.2023.01.009

南岭山地不同海拔土壤生态化学计量特征及影响因素

黄伟佳¹^,²^,³(), 刘春¹, 刘岳⁴, 黄斌²^,³, 李定强²^,³, 袁再健²^,³^,^*()

1.暨南大学生命科学技术学院，广东广州 510632
2.广东省科学院生态环境与土壤研究所/华南土壤污染控制与修复国家地方联合工程研究中心/广东省农业环境综合治理重点实验室/广东省面源污染防治工程技术研究中心，广东广州 510650
3.梅州市国际水土保持研究院，广东梅州 514000
4.江西省地质调查勘查院，江西南昌 330201

收稿日期:2022-08-10 出版日期:2023-01-18 发布日期:2023-04-06
通讯作者: *袁再健（1976年生），男，教授，博士，主要从事水土保持、面源污染与生态水文等方面的研究。E-mail: zjyuan@soil.gd.cn
作者简介:黄伟佳（1997年生），女，硕士研究生，主要研究方向为土壤碳循环。E-mail: 976652113@qq.com
基金资助:
广东省重点研发计划项目(2020B1111530001);广东省科技计划项目(2021B1212050019);广东省科技计划项目(2018B030324001);广东省科技计划项目(2022A050509005);广东省科学院专项资金项目(2022GDASZH-2022010203);广东省科学院专项资金项目(2022GDASZH-2022010105);梅州市科技计划项目(2020B0204001)

Soil Ecological Stoichiometry and Its Influencing Factors at Different Elevations in Nanling Mountains

HUANG Weijia¹^,²^,³(), LIU Chun¹, LIU Yue⁴, HUANG Bin²^,³, LI Dingqiang²^,³, YUAN Zaijian²^,³^,^*()

1. College of Life Science and Technology, Jinan University, Guangzhou 510632, P. R. China
2. National-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/Guangdong Engineering Research Center for Non-point Source Pollution Control/Institute of Eco-environmental and Soil Sciences, Guangdong Academy of Sciences, Guangzhou 510650, P. R. China
3. International Institute of Soil and Water Conservation, Meizhou 514000, P. R. China
4. Jiangxi Geological Survey and Exploration Institute, Nanchang 330201, P. R. China

Received:2022-08-10 Online:2023-01-18 Published:2023-04-06

摘要/Abstract

摘要：

土壤生态化学计量比是表征土壤养分需求与限制的重要指标。为了探究不同海拔梯度土壤生态化学计量特征，选择南岭山地不同海拔土壤为研究对象，分层采集不同海拔0—60 cm土壤，通过测定土壤基本理化性质、微生物生物量碳氮磷和土壤酶活性，分析南岭不同海拔梯度山地土壤养分、微生物生物量碳氮磷、酶活性及其生态化学计量比特征及影响因素。研究结果表明：（1）土壤有机碳（TOC）、总氮（TN）、总磷（TP）、微生物量氮（MBN）、微生物量磷（MBP）含量和β-葡萄糖苷酶（BG）活性在中高海拔处高于低海拔处，而微生物量碳（MBC）含量、N-乙酰-β-氨基葡萄糖苷酶（NAG）和酸性磷酸酶（AP）活性沿海拔呈现波动变化，其中MBC含量，NAG和AP活性分别在402、809和402 m处到达最高；（2）土壤w_(C)/w_(N)、w_(MBC)/w_(MBN)、w_(MBC)/w_(MBP)、w_(MBN)/w_(MBP)、NAG:AP均在809 m处最高，土壤w_(C)/w_(P)、w_(N)/w_(P)、BG:AP均在1364 m处最高，土壤BG:NAG在1536 m处最高；（3）土壤含水率、TOC、TN分别解释了土壤各化学计量比的25.0%、17.9%、13.6%。其中，含水率与w_(N)/w_(P)显著正相关（P<0.05），与BG:NAG极显著正相关（P<0.01），与w_(MBC)/w_(MBP)、NAG:AP极显著负相关（P<0.01），与w_(MBN)/w_(MBP)显著负相关（P<0.05）；TOC与w_(C)/w_(P)、w_(N)/w_(P)、BG:AP极显著正相关（P<0.01）；TN与w_(N)/w_(P)极显著正相关（P<0.01），与w_(C)/w_(P)、BG:NAG、BG:AP显著正相关（P<0.05），与w_(C)/w_(N)显著负相关（P<0.05）。南岭山地土壤养分、微生物量、酶活性化学计量比有明显的海拔梯度变化特征，土壤理化性质对土壤化学计量比具有重要的影响，对于深入研究南岭山地土壤养分平衡状况和限制因素具有重要的意义。

关键词: 南岭山地, 海拔, 养分, 微生物量碳氮磷, 土壤酶, 化学计量

Abstract:

Soil ecological stoichiometry is an important index to characterize soil nutrient requirement and limitation. In order to explore the ecological stoichiometry characteristics of soils at different altitude gradients, soils at different altitudes in Nanling Mountains were selected as the research objects. The soils (0-60 cm) at different altitudes were stratified and collected. The characteristics of soil nutrients, microbial biomass C, N, P, enzyme activities and their ecological stoichiometric ratios and the influencing factors in different elevation gradients of Nanling mountains were analyzed. The results show that: (1) The contents of soil organic carbon (TOC), total nitrogen (TN), total phosphorus (TP), microbial biomass nitrogen (MBN), microbial biomass phosphorus (MBP) and β-glucosidase (BG) activity were higher at middle and high altitudes than at low altitudes. The microbial biomass carbon (MBC) content, N-1, 4-acetyl-β-glucosaminidase (NAG) and acid phosphatase (AP) activities fluctuated along the altitude, and the MBC content, NAG activity and AP activity was highest at 402 m, 809 m and 402 m, respectively. (2) Soil w_(C)/w_(N), w_(MBC)/w_(MBN), w_(MBC)/w_(MBP), w_(MBN)/w_(MBP), NAG:AP were the highest at 809 m, soil w_(C)/w_(P), w_(N)/w_(P), BG:AP were the highest at 1364 m, and soil BG:NAG was the highest at 1536 m. (3) Soil moisture content, TOC and TN accounted for 25.0%, 17.9% and 13.6% of soil stoichiometric ratios, respectively. Water content was significantly positively correlated with w_(N)/w_(P) (P<0.05), was very significantly positively correlated with BG:NAG (P<0.01) and very significantly negatively correlated with w_(MBC)/w_(MBP) and NAG:AP (P<0.01) and significantly negatively correlated with w_(MBN)/w_(MBP) (P<0.05); TOC was very significantly positively correlated with w_(C)/w_(P), w_(N)/w_(P), BG:AP (P<0.01); TN was very significantly positively correlated with w_(N)/w_(P) (P<0.01), was significantly positively correlated with w_(C)/w_(P)、BG:NAG, BG:AP (P<0.05) and significantly negatively correlated with w_(C)/w_(N) (P<0.05). Soil nutrients, microbial biomass and enzyme activity stoichiometric ratio in Nanling mountains had obvious elevation gradient changes. Soil physical and chemical properties had important effects on soil stoichiometric ratio, which was of great significance for further study of soil nutrient balance and limiting factors in Nanling mountains.

Key words: Nanling Mountains, elevation gradient, nutrient, microbial biomass carbon, nitrogen and phosphorus, soil enzymes, stoichiometry

中图分类号:

黄伟佳, 刘春, 刘岳, 黄斌, 李定强, 袁再健. 南岭山地不同海拔土壤生态化学计量特征及影响因素[J]. 生态环境学报, 2023, 32(1): 80-89.

HUANG Weijia, LIU Chun, LIU Yue, HUANG Bin, LI Dingqiang, YUAN Zaijian. Soil Ecological Stoichiometry and Its Influencing Factors at Different Elevations in Nanling Mountains[J]. Ecology and Environment, 2023, 32(1): 80-89.

图/表 7

参考文献 47

[1]	BAI X J, ZENG Q C, FAKHER A, et al., 2018. Characteristics of soil enzyme activities and microbial biomass carbon and nitrogen under different vegetation zones on the Loess Plateau, China[J]. Arid Land Research and Management, 32(4): 438-454. DOI URL
[2]	BANGROO S A, NAJAR G R, RASOOL A, 2017. Effect of altitude and aspect on soil organic carbon and nitrogen stocks in the Himalayan Mawer Forest Range[J]. Catena, 158: 63-68. DOI URL
[3]	BING H J, WU Y H, ZHOU J, et al., 2016. Stoichiometric variation of carbon, nitrogen, and phosphorus in soils and its implication for nutrient limitation in alpine ecosystem of Eastern Tibetan Plateau[J]. Journal of Soils and Sediments, 16(2): 405-416. DOI URL
[4]	BROOKES P C, POWLSON D S, JENKINSON D S, 1982. Measurement of microbial biomass phosphorus in soil[J]. Soil Biology and Biochemistry, 14(4): 319-329. DOI URL
[5]	CAO R Y, YANG W Q, CHANG C H, et al., 2021. Differential seasonal changes in soil enzyme activity along an altitudinal gradient in an alpine-gorge region[J]. Applied Soil Ecology, 166: 104078. DOI URL
[6]	ČAPEK P, STARKE R, HOFMOCKEL K S, et al., 2019. Apparent temperature sensitivity of soil respiration can result from temperature driven changes in microbial biomass[J]. Soil Biology and Biochemistry, 135: 286-293. DOI URL
[7]	CARRINO-KYKER S R, KLUBER L A, PETERSEN S M, et al., 2016. Mycorrhizal fungal communities respond to experimental elevation of soil pH and P availability in temperate hardwood forests[J]. FEMS Microbiology Ecology, 92(3): fiw024. DOI URL
[8]	HE Q Q, WU Y H, BING H J, et al., 2020. Vegetation type rather than climate modulates the variation in soil enzyme activities and stoichiometry in subalpine forests in the eastern Tibetan Plateau[J]. Geoderma, 374: 114424. DOI URL
[9]	HEUCK C, WEIG A, SPOHN M, 2015. Soil microbial biomass C:N:P stoichiometry and microbial use of organic phosphorus[J]. Soil Biology and Biochemistry, 85: 119-129. DOI URL
[10]	MENG L, QU F Z, BI X L, et al., 2021. Elemental stoichiometry (C, N, P) of soil in the Yellow River Delta nature reserve: Understanding N and P status of soil in the coastal estuary[J]. Science of The Total Environment, 751: 141737. DOI URL
[11]	QIU L P, ZHANG Q, ZHU H S, et al., 2021. Erosion reduces soil microbial diversity, network complexity and multifunctionality[J]. The ISME Journal, 15(8): 2474-2489. DOI
[12]	SHEN R C, XU M, LI R Q, et al., 2015. Spatial variability of soil microbial biomass and its relationships with edaphic, vegetational and climatic factors in the Three-River Headwaters region on Qinghai-Tibetan Plateau[J]. Applied Soil Ecology, 95:191-203. DOI URL
[13]	SINGH J S, RAGHUBANSHI A S, SINGH R S, et al., 1989. Microbial biomass acts as a source of plant nutrients in dry tropical forest and savanna[J]. Nature, 338(6215): 499-500. DOI
[14]	SINSABAUGH R L, LAUBER C L, WEINTRAUB M N, et al., 2008. Stoichiometry of soil enzyme activity at global scale[J]. Ecology Letters, 11(11): 1252-1264. DOI PMID
[15]	SINSABAUGH R L, HILL B H, FOLLSTAD SHAH J J, 2009. Ecoenzymatic stoichiometry of microbial organic nutrient acquisition in soil and sediment[J]. Nature, 462(7274): 795-798. DOI
[16]	TIAN L M, ZHAO L, WU X D, et al., 2018. Soil moisture and texture primarily control the soil nutrient stoichiometry across the Tibetan grassland[J]. Science of The Total Environment, 622-623: 192-202. DOI URL
[17]	VANCE E D, BROOKES P C, JENKINSON D S, 1987. An extraction method for measuring soil microbial biomass C[J]. Soil Biology and Biochemistry, 19(6): 703-707. DOI URL
[18]	WANG R Z, DORODNIKOV M, YANG S, et al., 2015. Responses of enzymatic activities within soil aggregates to 9-year nitrogen and water addition in a semi-arid grassland[J]. Soil Biology and Biochemistry, 81: 159-167. DOI URL
[19]	WANG Y, REN Z, MA P P, et al., 2020. Effects of grassland degradation on ecological stoichiometry of soil ecosystems on the Qinghai-Tibet Plateau[J]. Science of the Total Environment, 722: 137910. DOI URL
[20]	WARING B G, WEINTRAUB S R, SINSABAUGH R L, 2014. Ecoenzymatic stoichiometry of microbial nutrient acquisition in tropical soils[J]. Biogeochemistry, 117(1): 101-113. DOI URL
[21]	XU Z W, YU G R, ZHANG X Y, et al., 2017. Soil enzyme activity and stoichiometry in forest ecosystems along the North-South Transect in eastern China (NSTEC)[J]. Soil Biology and Biochemistry, 104: 152-163. DOI URL
[22]	XU Z W, ZHANG T Y, WANG S Z, et al., 2020. Soil pH and C/N ratio determines spatial variations in soil microbial communities and enzymatic activities of the agricultural ecosystems in Northeast China: Jilin Province case[J]. Applied Soil Ecology, 155: 103629. DOI URL
[23]	ZHANG A L, LI X Y, WU S X, et al., 2021. Spatial pattern of C:N:P stoichiometry characteristics of alpine grassland in the Altunshan Nature Reserve at North Qinghai-Tibet Plateau[J]. Catena, 207: 105691. DOI URL
[24]	ZHANG Y, LI C, WANG M L, 2019. Linkages of C: N: P stoichiometry between soil and leaf and their response to climatic factors along altitudinal gradients[J]. Journal of Soils and Sediments, 19(4): 1820-1829. DOI
[25]	陈涛, 张宏达, 1994. 南岭植物区系地理学研究——Ⅰ.植物区系的组成和特点[J]. 热带亚热带植物学报, 2(1): 10-23.
	CHEN T, ZHANG H D, 1994. The floristic geography of Nanling mountain range, China: Ⅰ. floristic composition and characteristics[J]. Journal of Tropical and Subtropical Botany, 2(1): 10-23.
[26]	邓娇娇, 朱文旭, 周永斌, 等, 2018. 不同土地利用模式对辽东山区土壤微生物群落多样性的影响[J]. 应用生态学报, 29(7): 2269-2276. DOI
	DENG J J, ZHU W X, ZHOU Y B, et al., 2018. Effects of different land use patterns on the soil microbial community diversity in montane region of eastern Liaoning Province, China[J]. Chinese Journal of Applied Ecology, 29(7): 2269-2276.
[27]	董廷发, 2021. 不同海拔云南松林土壤养分及其生态化学计量特征[J]. 生态学杂志, 40(3): 672-679.
	DONG T F, 2021. Soil nutrients and their ecological stoichiometry of Pinus yunnanensis forest along an elevation gradient[J]. Chinese Journal of Ecology, 40(3): 672-679.
[28]	冯德枫, 包维楷, 2017. 土壤碳氮磷化学计量比时空格局及影响因素研究进展[J]. 应用与环境生物学报, 23(2): 400-408.
	FENG D F, BAO W K, 2017. Review of the temporal and spatial patterns of soil C:N:P stoichiometry and its driving factors[J]. Chinese Journal of Applied and Environmental Biology, 23(2): 400-408.
[29]	贺金生, 韩兴国, 2010. 生态化学计量学:探索从个体到生态系统的统一化理论[J]. 植物生态学报, 34(1): 2-6. DOI
	HE J S, HAN X G, 2010. Ecological stoichiometry: Searching for unifying principles from individuals to ecosystems[J]. Chinese Journal of Plant Ecology, 34(1): 2-6.
[30]	黄斌, 王泉泉, 李定强, 等, 2022. 南岭山地土壤有机碳及组分海拔梯度变化特征[J]. 土壤通报, 53(2): 374-383.
	HUANG B, WANG Q Q, LI D Q, et al., 2022. Variation characteristics of organic carbon and fractions in soils along the altitude gradient in Nanling Mountains[J]. Chinese Journal of Soil Science, 53(2): 374-383.
[31]	贾培龙, 安韶山, 李程程, 等, 2020. 黄土高原森林带土壤养分和微生物量及其生态化学计量变化特征[J]. 水土保持学报, 34(1): 315-321.
	JIA P L, AN S S, LI C C, et al., 2020. Dynamics of soil nutrients and their ecological stoichiometry characteristics under different longitudes in the east-west forest belt of the Loess Plateau[J]. Journal of Soil and Water conservation, 34(1): 315-321.
[32]	李新星, 刘桂民, 吴小丽, 等, 2020. 马衔山不同海拔土壤碳、氮、磷含量及生态化学计量特征[J]. 生态学杂志, 39(3): 758-765.
	LI X X, LIU G M, WU X L, et al., 2020. Elevational distribution of soil organic carbon, nitrogen and phosphorus contents and their ecological stoichiometry on Maxian Mountain[J]. Chinese Journal of Ecology, 39(3): 758-765.
[33]	林惠瑛, 周嘉聪, 曾泉鑫, 等, 2022. 土壤酶计量揭示了武夷山黄山松林土壤微生物沿海拔梯度的碳磷限制变化[J]. 应用生态学报, 33(1): 33-41. DOI
	LIN H Y, ZHOU J C, ZENG Q X, et al., 2022. Soil enzyme stoichiometry revealed the changes of soil microbial carbon and phosphorus limitation along an elevational gradient in a Pinus taiwanensis forest of Wuyi Mountains, Southeast China[J]. Chinese Journal of Applied Ecology, 33(1): 33-41.
[34]	刘秉儒, 2010. 贺兰山东坡典型植物群落土壤微生物量碳、氮沿海拔梯度的变化特征[J]. 生态环境学报, 19(4): 883-888. DOI URL
	LIU B R, 2010. Changes in soil microbial biomass carbon and nitrogen under typical plant communies along an altitudinal gradient in east side of Helan Mountain[J]. Ecology and Environmental Sciences, 19(4): 883-888.
[35]	刘敏, 苏志尧, 2010. 广东低山林下土壤理化特征分析[J]. 中南林业科技大学学报, 30(2): 36-40, 59.
	LIU M, SU Z Y, 2010. Soil physicochemical regime analysis of low hills under forest in Guangdong province[J]. Journal of Central South University of Forestry & Technology, 30(2): 36-40, 59.
[36]	卢建男, 刘凯军, 王瑞雄, 等, 2022. 中国荒漠植物-土壤系统生态化学计量学研究进展[J]. 中国沙漠, 42(2): 173-182. DOI
	LU J N, LIU K J, WANG R X, et al., 2022. Research advances in stoichiometry of desert plant-soil system in China[J]. Journal of Desert Research, 42(2): 173-182. DOI
[37]	孙德斌, 栗云召, 于君宝, 等, 2022. 黄河三角洲湿地不同植被类型下土壤营养元素空间分布及其生态化学计量学特征[J]. 环境科学, 43(6): 3241-3252.
	SUN D B, LI Y Z, YU J B, et al., 2022. Spatial Distribution and eco-stoichiometric characteristics of soil nutrient elements under different vegetation types in the Yellow River Delta Wetland[J]. Environmental Science, 43(6): 3241-3252.
[38]	唐立涛, 刘丹, 罗雪萍, 等, 2019. 青海省森林土壤磷储量及其分布格局[J]. 植物生态学报, 43(12): 1091-1103. DOI
	TANG L T, LIU D, LUO X P, et al., 2019. Forest soil phosphorus stocks and distribution patterns in Qinghai, China[J]. Chinese Journal of Plant Ecology, 43(12): 1091-1103. DOI URL
[39]	王绍强, 于贵瑞, 2008. 生态系统碳氮磷元素的生态化学计量学特征[J]. 生态学报, 28(8): 3937-3947.
	WANG S Q, YU G R, 2008. Ecological stoichiometry characteristics of ecosystem carbon, nitrogen and phosphorus elements[J]. Acta Ecologica Sinica, 28(8): 3937-3947.
[40]	温美丽, 杨龙, 王钧, 等, 2018. 南岭森林的土壤保持功能[J]. 林业与环境科学, 34(2): 123-130.
	WEN M L, YANG L, WANG J, et al., 2018. Soil Retention Function of Forest in NanLing Mountain[J]. Forestry and Environmental Science, 34(2): 123-130.
[41]	吴昊, 邹梦茹, 王思芊, 等, 2019. 秦岭松栎林土壤生态化学计量特征及其对海拔梯度的响应[J]. 生态环境学报, 28(12): 2323-2331. DOI URL
	WU H, ZOU M R, WANG S Q, et al., 2019. Eco-stoichiometry characteristics of soil within pine and oak mixed forest and theirs responses to elevation gradient in Qinling Mountains[J]. Ecology and Environmental Sciences, 28(12): 2323-2331.
[42]	许淼平, 任成杰, 张伟, 等, 2018. 土壤微生物生物量碳氮磷与土壤酶化学计量对气候变化的响应机制[J]. 应用生态学报, 29(7): 2445-2454.
	XU M P, REN C J, ZHANG W, et al., 2018. Responses mechanism of C:N:P stoichiometry of soil microbial biomass and soil enzymes to climate change[J]. Chinese Journal of Applied Ecology, 29(7): 2445-2454.
[43]	薛立, 邝立刚, 陈红跃, 等, 2003. 不同林分土壤养分、微生物与酶活性的研究[J]. 土壤学报, 40(2): 280-285.
	XUE L, KUANG L G, CHEN H Y, et al., 2003. Soil nutrients, microorganisms and enzyme activities of different stands[J]. Acta Pedologica Sinica, 40(2): 280-285.
[44]	张剑, 宿力, 王利平, 等, 2019. 植被盖度对土壤碳、氮、磷生态化学计量比的影响——以敦煌阳关湿地为例[J]. 生态学报, 39(2): 580-589.
	ZHANG J, SU L, WANG L P, et al., 2019. The effect of vegetation cover on ecological stoichiometric ratios of soil carbon, nitrogen and phosphorus: A case study of the Dunhuang Yangguan wetland[J]. Acta Ecologica Sinica, 39(2): 580-589.
[45]	张星星, 杨柳明, 陈忠, 等, 2018. 中亚热带不同母质和森林类型土壤生态酶化学计量特征[J]. 生态学报, 38(16): 5828-5836.
	ZHANG X X, YANG L M, CHEN Z, et al., 2018. Patterns of ecoenzymatic stoichiometry on types of forest soils form different parent materials in subtropical areas[J]. Acta Ecologica Sinica, 38(16): 5828-5836.
[46]	朱秋莲, 邢肖毅, 张宏, 等, 2013. 黄土丘陵沟壑区不同植被区土壤生态化学计量特征[J]. 生态学报, 33(15): 4674-4682.
	ZHU Q L, XING X Y, ZHANG H, et al., 2013. Soil ecological stoichiometry under different vegetation area on loess hilly-gully region[J]. Acta Ecologica Sinica, 33(15): 4674-4682. DOI URL
[47]	宗天韵, 周玮莹, 周平, 2019. 南岭山地1968到2015年降雨的时空变化特征研究[J]. 生态科学, 38(2): 182-190.
	ZONG T Y, ZHOU W Y, ZHOU P, 2019. Analysis of temporal and spatial variation of rainfall in 1968-2015 in Nanling[J]. Ecological Science, 38(2): 182-190.

样地	海拔/m	坡向	坡度/(°)	经纬度	土壤类型	植被类型	优势植被
S1	402	SW	8	112°47′23.49″E, 24°50′21.82″N	山地红壤	沟谷常绿阔叶林	广东润楠 Machiluskwangtungensis、石栎 Lithocarpusglaber、鹿角锥 Castanopsislamontii、赤楠 Syzygiumbuxifolium
S2	809	NE	15	112°44′28.47″E, 24°55′28.46″N	山地红壤	沟谷常绿阔叶林	广东润楠 Machiluskwangtungensis、青冈 Cyclobalanopsisglauca、罗浮锥 Castanopsisfabri、小叶青冈Cyclobalanopsismyrsinifolia
S3	1184	NE	10	113°0′19.08″E, 24°56′8.79″N	山地黄壤	山地常绿阔叶林	鹿角锥 Castanopsislamontii、青冈 Cyclobalanopsisglauca、千年桐 Verniciamontana、罗浮锥 Castanopsisfabri、甜槠 Castanopsiseyrei
S4	1364	NE	15	113°1′20.83″E, 24°53′50.52″N	山地黄壤	针阔混交林	广东松 PinusKwangtungensis、荷木 Schimasuperba、马尾松 Pinusmassoniana、甜槠 Castanopsiseyrei、青冈 Cyclobalanopsisglauca
S5	1536	SW	5	112°58′12.27″E, 24°55′22.30″N	山地草甸土	山顶草甸	五节芒 Miscanthusfloridulus
S6	1653	SE	8	112°59′8.22″E, 24°55′48.56″N	山地黄壤	山顶矮林	野茉莉 Styrax japonicus、少花桂 Cinnamomum pauciflorum、青冈 Cyclobalanopsisglauca

样地	海拔/m	坡向	坡度/(°)	经纬度	土壤类型	植被类型	优势植被
S1	402	SW	8	112°47′23.49″E, 24°50′21.82″N	山地红壤	沟谷常绿阔叶林	广东润楠 Machiluskwangtungensis、石栎 Lithocarpusglaber、鹿角锥 Castanopsislamontii、赤楠 Syzygiumbuxifolium
S2	809	NE	15	112°44′28.47″E, 24°55′28.46″N	山地红壤	沟谷常绿阔叶林	广东润楠 Machiluskwangtungensis、青冈 Cyclobalanopsisglauca、罗浮锥 Castanopsisfabri、小叶青冈Cyclobalanopsismyrsinifolia
S3	1184	NE	10	113°0′19.08″E, 24°56′8.79″N	山地黄壤	山地常绿阔叶林	鹿角锥 Castanopsislamontii、青冈 Cyclobalanopsisglauca、千年桐 Verniciamontana、罗浮锥 Castanopsisfabri、甜槠 Castanopsiseyrei
S4	1364	NE	15	113°1′20.83″E, 24°53′50.52″N	山地黄壤	针阔混交林	广东松 PinusKwangtungensis、荷木 Schimasuperba、马尾松 Pinusmassoniana、甜槠 Castanopsiseyrei、青冈 Cyclobalanopsisglauca
S5	1536	SW	5	112°58′12.27″E, 24°55′22.30″N	山地草甸土	山顶草甸	五节芒 Miscanthusfloridulus
S6	1653	SE	8	112°59′8.22″E, 24°55′48.56″N	山地黄壤	山顶矮林	野茉莉 Styrax japonicus、少花桂 Cinnamomum pauciflorum、青冈 Cyclobalanopsisglauca

采样点	深度/cm	pH	容重/(g·cm^-3)	含水率/%	w_(有机碳)/(g·kg^-1)	w_(总氮)/(g·kg^-1)	w_(总磷)/(g·kg^-1)
S1	0-20	4.15±0.06bBC	0.94±0.15aA	38.64±2.79aABC	36.12±7.85aD	2.58±0.57aC	0.32±0.04aB
	20-40	4.31±0.08abB	1.15±0.16aAB	34.45±0.39aCD	24.15±6.09abC	1.51±0.52bC	0.29±0.01aA
	40-60	4.40±0.10aC	1.21±0.07aB	32.07±3.63aC	17.89±6.38bBC	1.02±0.32bCD	0.23±0.02bAB
S2	0-20	4.68±0.09aA	0.70±0.01bAB	33.14±1.83aC	44.13±8.88aCD	2.04±0.19aC	0.20±0.03aC
	20-40	4.73±0.13aA	1.39±0.10aA	30.25±0.03aD	13.11±4.12bD	0.35±0.16bD	0.18±0.06aBC
	40-60	4.80±0.04aA	1.44±0.12aA	32.85±3.38aC	8.83±1.17bC	0.19±0.05bE	0.17±0.10aBC
S3	0-20	4.22±0.17bBC	0.81±0.05bAB	37.78±3.55aBC	71.07±14.75aB	3.63±0.44aB	0.31±0.02aBC
	20-40	4.62±0.17aA	0.99±0.10abB	42.65±9.17aABC	49.16±3.53bA	2.31±0.60bB	0.25±0.06abAB
	40-60	4.68±0.21aAB	1.25±0.10aAB	42.22±1.98aABC	36.79±8.27bA	1.73±0.52bB	0.20±0.04bBC
S4	0-20	3.86±0.11bD	0.56±0.15bB	49.85±4.92aA	104.87±9.93aA	4.24±0.23aAB	0.21±0.02aC
	20-40	4.48±0.18aAB	1.02±0.11aB	48.78±10.33aAB	37.90±3.43bB	1.66±0.25bBC	0.15±0.02bC
	40-60	4.55±0.17aBC	1.14±0.03aB	43.82±4.72aAB	22.53±5.35cB	0.92±0.24cD	0.13±0.02bC
S5	0-20	4.31±0.29bB	0.69±0.13bAB	46.66±8.62aAB	65.66±3.44aB	4.53±0.52aA	0.47±0.12aA
	20-40	4.62±0.16abA	0.95 ± 0.07abB	53.97±0.23aA	45.96±3.31bA	3.11±0.17bA	0.32±0.04bA
	40-60	4.73±0.08aAB	1.06±0.02aB	54.55±2.15aA	33.17±6.26cA	2.49±0.38bA	0.29±0.01bA
S6	0-20	4.01±0.04bCD	0.96±0.14aA	35.89±0.64aBC	58.31±4.74aBC	3.87±0.42aAB	0.3±0.00aBC
	20-40	4.26±0.10aB	1.19±0.12aAB	38.28±0.86aBCD	29.31±4.41bC	2.08±0.37bBC	0.19±0.01bBC
	40-60	4.36±0.06aC	1.11±0.09aB	39.72±7.42aBC	21.20±1.95cB	1.57±0.24bBC	0.16±0.03bBC

采样点	深度/cm	pH	容重/(g·cm^-3)	含水率/%	w_(有机碳)/(g·kg^-1)	w_(总氮)/(g·kg^-1)	w_(总磷)/(g·kg^-1)
S1	0-20	4.15±0.06bBC	0.94±0.15aA	38.64±2.79aABC	36.12±7.85aD	2.58±0.57aC	0.32±0.04aB
	20-40	4.31±0.08abB	1.15±0.16aAB	34.45±0.39aCD	24.15±6.09abC	1.51±0.52bC	0.29±0.01aA
	40-60	4.40±0.10aC	1.21±0.07aB	32.07±3.63aC	17.89±6.38bBC	1.02±0.32bCD	0.23±0.02bAB
S2	0-20	4.68±0.09aA	0.70±0.01bAB	33.14±1.83aC	44.13±8.88aCD	2.04±0.19aC	0.20±0.03aC
	20-40	4.73±0.13aA	1.39±0.10aA	30.25±0.03aD	13.11±4.12bD	0.35±0.16bD	0.18±0.06aBC
	40-60	4.80±0.04aA	1.44±0.12aA	32.85±3.38aC	8.83±1.17bC	0.19±0.05bE	0.17±0.10aBC
S3	0-20	4.22±0.17bBC	0.81±0.05bAB	37.78±3.55aBC	71.07±14.75aB	3.63±0.44aB	0.31±0.02aBC
	20-40	4.62±0.17aA	0.99±0.10abB	42.65±9.17aABC	49.16±3.53bA	2.31±0.60bB	0.25±0.06abAB
	40-60	4.68±0.21aAB	1.25±0.10aAB	42.22±1.98aABC	36.79±8.27bA	1.73±0.52bB	0.20±0.04bBC
S4	0-20	3.86±0.11bD	0.56±0.15bB	49.85±4.92aA	104.87±9.93aA	4.24±0.23aAB	0.21±0.02aC
	20-40	4.48±0.18aAB	1.02±0.11aB	48.78±10.33aAB	37.90±3.43bB	1.66±0.25bBC	0.15±0.02bC
	40-60	4.55±0.17aBC	1.14±0.03aB	43.82±4.72aAB	22.53±5.35cB	0.92±0.24cD	0.13±0.02bC
S5	0-20	4.31±0.29bB	0.69±0.13bAB	46.66±8.62aAB	65.66±3.44aB	4.53±0.52aA	0.47±0.12aA
	20-40	4.62±0.16abA	0.95 ± 0.07abB	53.97±0.23aA	45.96±3.31bA	3.11±0.17bA	0.32±0.04bA
	40-60	4.73±0.08aAB	1.06±0.02aB	54.55±2.15aA	33.17±6.26cA	2.49±0.38bA	0.29±0.01bA
S6	0-20	4.01±0.04bCD	0.96±0.14aA	35.89±0.64aBC	58.31±4.74aBC	3.87±0.42aAB	0.3±0.00aBC
	20-40	4.26±0.10aB	1.19±0.12aAB	38.28±0.86aBCD	29.31±4.41bC	2.08±0.37bBC	0.19±0.01bBC
	40-60	4.36±0.06aC	1.11±0.09aB	39.72±7.42aBC	21.20±1.95cB	1.57±0.24bBC	0.16±0.03bBC

化学计量比 stoichiometric ratio	pH	容重 soil bulk density/ (g·cm^-3)	含水率 Soil moisture content/%	有机碳 w_(TOC)/ (g·kg^-1)	总氮 w_(TN)/ (g·kg^-1)	总磷 w_(TP)/ (g·kg^-1)
w_(C)/w_(N)	0.421	0.387	-0.35	-0.203	-0.532*	-0.524*
w_(C)/w_(P)	-0.524*	-0.701**	0.405	0.846**	0.564*	-0.101
w_(N)/w_(P)	-0.677**	-0.802**	0.513*	0.879**	0.793**	0.155
w_(MBC)/w_(MBN)	0.12	-0.048	-0.244	0.09	0.054	0.199
w_(MBC)/w_(MBP)	0.162	-0.094	-0.627**	-0.021	-0.201	-0.084
w_(MBN)/w_(MBP)	0.082	-0.109	-0.543*	-0.018	-0.194	-0.163
BG:NAG	0.038	-0.435	0.712**	0.357	0.560*	0.755**
BG:AP	-0.502*	-0.595**	0.217	0.599**	0.476*	0.393
NAG:AP	-0.14	0.236	-0.631**	-0.159	-0.401	-0.518*

南岭山地不同海拔土壤生态化学计量特征及影响因素

Soil Ecological Stoichiometry and Its Influencing Factors at Different Elevations in Nanling Mountains

RichHTML

PDF

可视化

摘要/Abstract

引用本文

使用本文

图/表 7

参考文献 47

相关文章 15

编辑推荐

Metrics

本文评价

[1]	陈俊芳, 吴宪, 刘啸林, 刘娟, 杨佳绒, 刘宇. 不同土壤水分下元素化学计量对微生物多样性的塑造特征[J]. 生态环境学报, 2023, 32(5): 898-909.
[2]	董智今, 张呈春, 展秀丽, 张维福. 宁夏河东沙地生物土壤结皮及其下伏土壤养分的空间分布特征[J]. 生态环境学报, 2023, 32(5): 910-919.
[3]	潘昱伶, 璩向宁, 李琴, 王磊, 王筱平, 谭鹏, 崔庚, 安雨, 佟守正. 黄河宁夏段典型滩涂湿地土壤理化因子空间分布特征及其对微地形的响应[J]. 生态环境学报, 2023, 32(4): 668-677.
[4]	代德敏, 蒋旭升, 刘杰, 王路洋, 陈诗奇, 韩庆坤. 3种有机改良剂对铅锌矿尾砂适生性改善的研究[J]. 生态环境学报, 2023, 32(4): 784-793.
[5]	秦浩, 李蒙爱, 高劲, 陈凯龙, 张殷波, 张峰. 芦芽山不同海拔灌丛土壤细菌群落组成和多样性研究[J]. 生态环境学报, 2023, 32(3): 459-468.
[6]	宋志斌, 周佳诚, 谭路, 唐涛. 高原河流着生藻类群落沿海拔梯度的变化特征--以西藏黑曲、雪曲为例[J]. 生态环境学报, 2023, 32(2): 274-282.
[7]	盛美君, 李胜君, 杨昕玥, 王蕊, 李洁, 李刚, 修伟明. 华北潮土农田土壤酶活性对土地利用强度的响应特征探讨[J]. 生态环境学报, 2023, 32(2): 299-308.
[8]	张贝儿, 吴建强, 王敏, 熊丽君, 谭娟, 沈城, 黄波涛, 黄沈发. 耕地生态保育工程的土壤健康度评价方法初探[J]. 生态环境学报, 2023, 32(2): 388-396.
[9]	王洁, 单燕, 马兰, 宋延静, 王向誉. 秸秆/生物质炭协同还田措施对黄河三角洲盐碱土壤的改良效果研究[J]. 生态环境学报, 2023, 32(1): 90-98.
[10]	韩翠, 康扬眉, 余海龙, 李冰, 黄菊莹. 荒漠草原凋落物分解过程中降水量对土壤酶活性的影响[J]. 生态环境学报, 2022, 31(9): 1802-1812.
[11]	刘展航, 张树岩, 侯玉平, 朱书玉, 王立冬, 施欣悦, 李培广, 韩广轩, 谢宝华. 互花米草入侵对黄河口湿地土壤碳氮磷及其生态化学计量特征的影响[J]. 生态环境学报, 2022, 31(7): 1360-1369.
[12]	曹晓云, 祝存兄, 陈国茜, 孙树娇, 赵慧芳, 朱文彬, 周秉荣. 2000—2021年柴达木盆地地表绿度变化及地形分异研究[J]. 生态环境学报, 2022, 31(6): 1080-1090.
[13]	夏恩龙, 农珺清, 魏松坡, 刘希珍, 刘广路. 毛竹向阔叶林扩展过程中土壤养分变化特征[J]. 生态环境学报, 2022, 31(6): 1110-1117.
[14]	喻阳华, 吴银菇, 宋燕平, 李一彤. 不同林龄顶坛花椒林地土壤微生物浓度与生物量化学计量特征[J]. 生态环境学报, 2022, 31(6): 1160-1168.
[15]	孙建波, 畅文军, 李文彬, 张世清, 李春强, 彭明. 香蕉不同生育期根际微生物生物量及土壤酶活的变化研究[J]. 生态环境学报, 2022, 31(6): 1169-1174.