樟子松人工林土壤特性、根际效应及其影响因素

doi:10.11707/j.1001-7488.LYKX20260063

Abstract

Abstract:

Objective: This study aims to reveal the spatiotemporal variations in soil nutrient properties and rhizosphere effects in Pinus sylvestris var. mongolica plantations with different forest ages in different introduction sites, in order to provide a scientific basis for their sustainable management. Method: This study was conducted in P. sylvestris var. mongolica plantations with different stand ages (27–28, 37–40, and 48–49 a) in Hulunbuir sandy land (HB), Horqin sandy land (HQ), and Mu Us sandy land (MU). The concentrations of carbon, nitrogen, and phosphorus along with their associated enzyme activities in both bulk and rhizosphere soils were comparatively analyzed to characterize the spatiotemporal variations in nutrient properties and rhizosphere effects, and to explore the primary environmental drivers. Result: 1) The soil nutrients and enzyme activities exhibited significant spatial heterogeneity, with similar distribution patterns observed between bulk and rhizosphere soils. HB exhibited the highest soil organic carbon, total nitrogen and available nitrogen, while HQ had the highest available phosphorus and acid phosphatase activity, and MU recorded the highest total phosphorus. The soil organic carbon and total nitrogen accumulated with stand age across all regions, and the acid phosphatase activity in bulk soil consistently increased with stand age. 2) Rhizosphere effects varied among different soil properties. In the plantations of various introduction sites, the soil organic carbon and total nitrogen consistently showed positive rhizosphere effects, indicating nutrient accumulation around roots. The activity of enzymes associated with carbon and phosphorus cycling mostly exhibited significantly negative rhizosphere effects, while the activity of nitrogen-transforming enzymes showed significantly positive rhizosphere effects, suggesting that P. sylvestris var. mongolica plantations may experience stronger nitrogen limitation. 3) Geographical location and climatic conditions were the dominant factors shaping the spatiotemporal differences in soil characteristics between bulk and rhizosphere soils. The factors explained more variance in soil characteristics than the rhizosphere effects. Variations in soil properties and their rhizosphere effects were primarily driven by the combined influence of geographical and climatic factors. Conclusion: The soil properties in P. sylvestris var. mongolica plantations introduced from different regions exhibit significant spatiotemporal variations. The spatiotemporal patterns of soil characteristics and rhizosphere effects are jointly influenced by geographical location, climate, and plant growth, while stand age has a relatively weaker effect.

Key words: Pinus syivestris var. mongolica, rhizosphere effects, soil nutrients, soil enzyme activity, stand age

CLC Number:

S791.253

Qiyan Li,Peishan Zhao,Guanglei Gao,Guodong Ding,Ying Zhang. Soil Characteristics, Rhizosphere Effects and Their Influencing Factors in Pinus sylvestris var. mongolica Plantations[J]. Scientia Silvae Sinicae, 2026, 62(8): 55-70.

Figures/Tables 16

Table 1

Table 2

Fig.1

Table 3

Fig.2

Table 4

Fig.3

Table 5

Fig.4

Table 6

Fig.5

Table 7

Fig.6

Table 8

Fig.7

Fig.8

References 0

	陈　娟, 马忠明, 刘莉莉, 等. 不同耕作方式对土壤有机碳、微生物量及酶活性的影响. 植物营养与肥料学报, 2016, 22 (3): 667- 675. doi: 10.11674/zwyf.15246
	Chen J, Ma Z M, Liu L L, et al. Effect of tillage system on soil organic carbon, microbial biomassand enzyme activities. Journal of Plant Nutrition and Fertilizer, 2016, 22 (3): 667- 675. doi: 10.11674/zwyf.15246
	邓娇娇, 周永斌, 殷　有, 等. 辽东山区两种针叶人工林土壤真菌群落结构特征. 北京林业大学学报, 2019, 41 (9): 130- 138.
	Deng J J, Zhou Y B, Yin Y, et al. Characteristics of soil fungal community structure at two coniferous plantations in mountainous region of eastern Liaoning Province, northeastern China. Journal of Beijing Forestry University, 2019, 41 (9): 130- 138.
	范媛媛, 李　懿, 李启迪. 不同林龄油松土壤微生物、酶活性和养分特征. 水土保持研究, 2019, 26 (6): 58- 64. doi: 10.13869/j.cnki.rswc.2019.06.009
	Fan Y Y, Li Y, Li Q D. Microbe, enzymatic activity and nutrient contents of soils in different stand ages of Pinus tabuliformis. Research of Soil and Water Conservation, 2019, 26 (6): 58- 64. doi: 10.13869/j.cnki.rswc.2019.06.009
	付粱晨, 丁宗巨, 唐　茂, 等. 北京东灵山白桦和蒙古栎的根际效应及其季节动态. 植物生态学报, 2024, 48 (4): 508- 522. doi: 10.17521/cjpe.2022.0485
	Fu L C, Ding Z J, Tang M, et al. Rhizosphere effects of Betula platyphylla and Quercus mongolica and their seasonal dynamics in Dongling Mountain, Beijing. Chinese Journal of Plant Ecology, 2024, 48 (4): 508- 522. doi: 10.17521/cjpe.2022.0485
	关松荫. 1986. 土壤酶及其研究法. 北京: 中国农业出版社.
	Guan S Y. 1986. Soil enzymes and their research methods. Beijing: China Agriculture Press. ［in Chinese］
	李青华, 张　静, 王　力, 等. 黄土丘陵沟壑区山地苹果林土壤干化及养分变异特征. 土壤学报, 2018, 55 (2): 503- 514.
	Li Q H, Zhang J, Wang L, et al. Desiccation and nutrient status of the soil in apple orchards in hilly-gully region of the Loess Plateau. Acta Pedologica Sinica, 2018, 55 (2): 503- 514.
	李汝振, 李　雯, 杨　柳, 等. 氮添加对华北落叶松根际与非根际土壤养分的影响. 林业科学研究, 2024, 37 (5): 195- 204.
	Li R Z, Li W, Yang L, et al. Effects of nitrogen addition on soil nutrients in the rhizosphere and non rhizosphere of Larix principis-rupprechtii plantation. Forest Research, 2024, 37 (5): 195- 204.
	梁天豪, 熊德成, 刘源豪, 等. 不同菌根类型树种的根系分泌物特征及其根际效应研究进展. 植物生态学报, 2025, 49 (7): 1038- 1052. doi: 10.17521/cjpe.2024.0196
	Liang T H, Xiong D C, Liu Y H, et al. Research progress on root exudates and rhizosphere effects of tree species associated with different mycorrhizal types. Chinese Journal of Plant Ecology, 2025, 49 (7): 1038- 1052. doi: 10.17521/cjpe.2024.0196
	任　悦, 高广磊, 丁国栋, 等. 沙地樟子松人工林叶片–枯落物–土壤有机碳含量特征. 北京林业大学学报, 2018, 40 (7): 36- 44. doi: 10.13332/j.1000-1522.20180138
	Ren Y, Gao G L, Ding G D, et al. Characteristics of organic carbon content of leaf-litter-soil system in Pinus sylvestris var. mongolica plantations. Journal of Beijing Forestry University, 2018, 40 (7): 36- 44. doi: 10.13332/j.1000-1522.20180138
	孙　悦, 徐兴良, Yakov K. 根际激发效应的发生机制及其生态重要性. 植物生态学报, 2014, 38 (1): 62- 75.
	Sun Y, Xu X L, Yakov K. Mechanisms of rhizosphere priming effects and their ecological significance. Chinese Journal of Plant Ecology, 2014, 38 (1): 62- 75.
	闫　姣, 贺学礼, 张亚娟, 等. 荒漠北沙柳根系丛枝菌根真菌和黑隔内生真菌定殖状况. 植物生态学报, 2014, 38 (9): 949- 958. doi: 10.3724/SP.J.1258.2014.00089
	Yan J, He X L, Zhang Y J, et al. Colonization of arbuscular mycorrhizal fungi and dark septate endophytes in roots of desert Salix psammophila. Chinese Journal of Plant Ecology, 2014, 38 (9): 949- 958. doi: 10.3724/SP.J.1258.2014.00089
	于　婧, 肖　娟, 罗尚华, 等. 川西亚高山云杉人工林根际和非根际土壤有机碳含量与稳定性差异. 应用与环境生物学报, 2025, 31 (3): 394- 403. doi: 10.19675/j.cnki.1006-687x.2024.08010
	Yu J, Xiao J, Luo S H, et al. Differences in organic carbon content and stability between the rhizosphere and bulk soils of subalpine spruce plantations in western Sichuan, China. Chinese Journal of Applied and Environmental Biology, 2025, 31 (3): 394- 403. doi: 10.19675/j.cnki.1006-687x.2024.08010
	叶钰倩, 赵家豪, 刘畅, 等. 间伐强度对马尾松人工林根际与非根际土壤中性糖特征的影响. 林业科学, 2019, 55 (8): 28- 35.
	Ye Y Q, Zhao J H, Liu C, et al. Impacts of thinning intensity on neutral sugars in rhizosphere and bulk soil of Pinus massoniana plantation. Scientia Silvae Sinicae, 2019, 55 (8): 28- 35.
	朱教君, 宋立宁, 王国晨. 沙地樟子松引种70年的历史、进展与展望. 林业科学, 2025, 61 (7): 23- 34.
	Zhu J J, Song L N, Wang G C. 70 Years of introducing of mongolian pine to sandy lands: history, progress, and perspectives. Scientia Silvae Sinicae, 2025, 61 (7): 23- 34.
	Banerjee S, Bora S, Thrall P H, et al. Soil C and N as causal factors of spatial variation in extracellular enzyme activity across grassland-woodland ecotones. Applied Soil Ecology, 2016, 105, 1- 8. doi: 10.1016/j.apsoil.2016.04.002
	Cheng W, Parton W J, Gonzalez-Meler M A, et al. Synthesis and modeling perspectives of rhizosphere priming. New Phytologist, 2014, 201, 31- 44. doi: 10.1111/nph.12440
	Dick W A, Tabatabai M A. Hydrolysis of organic and inor-ganic phosphorus compounds added to soils. Geoderma, 1978, 21 (3): 175- 182. doi: 10.1016/0016-7061(78)90025-3
	Dijkstra F A, Cheng W. Moisture modulates rhizosphere effects on C decomposition in two different soil types. Soil Biology and Biochemistry, 2007, 39 (9): 2264- 2274. doi: 10.1016/j.soilbio.2007.03.026
	Dotaniya M L, Meena V D. 2015. Rhizosphere effect on nutrient availability in soil and its uptake by plants: a review. Proceedings of the National Academy of Sciences, India Section B: Biological Sciences, 85: 1–12.
	Dusenge M E, Duarte A G, Way D A. Plant carbon metabolism and climate change: elevated CO₂ and temperature impacts on photosynthesis, photorespiration and respiration. New Phytologist, 2019, 221, 32- 49. doi: 10.1111/nph.15283
	Finzi A C, Abramoff R Z, Spiller K S, et al. Rhizosphere processes are quantitatively important components of terrestrial carbon and nutrient cycles. Global Change Biology, 2015, 21, 2082- 2094. doi: 10.1111/gcb.12816
	Fontaine S, Henault C, Aamor A, et al. Fungi mediate long term sequestration of carbon and nitrogen in soil through their priming effect. Soil Biology and Biochemistry, 2011, 43, 86- 96. doi: 10.1016/j.soilbio.2010.09.017
	Gan D, Feng J, Han M, et al. Rhizosphere effects of woody plants on soil biogeochemical processes: a meta-analysis. Soil Biology and Biochemistry, 2021, 160, 108310. doi: 10.1016/j.soilbio.2021.108310
	Ge T, Wei X, Razavi B S, et al. Stability and dynamics of enzyme activity patterns in the rice rhizosphere: effects of plant growth and temperature. Soil Biology and Biochemistry, 2017, 113, 108- 115. doi: 10.1016/j.soilbio.2017.06.005
	Guo L, Ju C, Xu X, et al. Unveiling pervasive soil microbial P limitation in terrestrial ecosystems worldwide. Ecology Letters, 2024, 27, e70011. doi: 10.1111/ele.70011
	Henneron L, Kardol P, Wardle D A, et al. Rhizosphere control of soil nitrogen cycling: a key component of plant economic strategies. New Phytologist, 2020, 228 (4): 1269- 1282. doi: 10.1111/nph.16760
	Hess L J T, Austin A T. Pine afforestation alters rhizosphere effects and soil nutrient turnover across a precipitation gradient in Patagonia, Argentina. Plant and Soil, 2017, 415, 449- 464. doi: 10.1007/s11104-017-3174-4
	Jones D L, Nguyen C, Finlay R D. Carbon flow in the rhizosphere: carbon trading at the soil–root interface. Plant and Soil, 2009, 321, 5- 33. doi: 10.1007/s11104-009-9925-0
	Keiluweit M, Bougoure J J, Nico P S, et al. Mineral protection of soil carbon counteracted by root exudates. Nature Climate Change, 2015, 5, 588- 595. doi: 10.1038/nclimate2580
	Lee J H, Kim K, Guber A K, et al. Direct root contact among neighboring plants influences activity of soil extracellular enzymes. Applied Soil Ecology, 2025, 215, 106422. doi: 10.1016/j.apsoil.2025.106422
	Li J Y, Chen P, Li Z G, et al. Soil aggregate-associated organic carbon mineralization and its driving factors in rhizosphere soil. Soil Biology and Biochemistry, 2023, 186, 109182. doi: 10.1016/j.soilbio.2023.109182
	Moorhead D L, Sinsabaugh R L, Hill B H, et al. Vector analysis of ecoenzyme activities reveal constraints on coupled C, N and P dynamics. Soil Biology and Biochemistry, 2016, 93, 1- 7. doi: 10.1016/j.soilbio.2015.10.019
	Pausch J, Kuzyakov Y. Carbon input by roots into the soil: Quantification of rhizodeposition from root to ecosystem scale. Global Change Biology, 2018, 24, 1- 12. doi: 10.1111/gcb.13850
	Peng S, Ding Y, Liu W, et al. 1 km monthly temperature and precipitation dataset for China from 1901 to 2017. Earth System Science Data, 2019, 11 (4): 1931- 1946. doi: 10.5194/essd-11-1931-2019
	Peng S, Ding Y, Wen Z, et al. Spatiotemporal change and trend analysis of potential evapotranspiration over the Loess Plateau of China during 2011—2100. Agricultural and Forest Meteorology, 2017, 233, 183- 194. doi: 10.1016/j.agrformet.2016.11.129
	Perveen N, Barot S, Alvarez G, et al. Priming effect and microbial diversity in ecosystem functioning and response to global change: a modeling approach using the SYMPHONY model. Global Change Biology, 2014, 20, 1174- 1190. doi: 10.1111/gcb.12493
	Philippot L, Raaijmakers J M, Lemanceau P, et al. Going back to the roots: the microbial ecology of the rhizosphere. Nature Reviews Microbiology, 2013, 11, 789- 799. doi: 10.1038/nrmicro3109
	Qiu T, Yu J, He L, et al. Slope position mediates the co-utilization of phosphorus by plants and microbes through rhizosphere processes in a phosphorus-limited forest. CATENA, 2023, 222, 106808. doi: 10.1016/j.catena.2022.106808
	Sinsabaugh R L, Moorhead D L. Resource allocation to extracellular enzyme production: a model for nitrogen and phosphorus control of litter decomposition. Soil Biology and Biochemistry, 1994, 26 (10): 1305- 1311. doi: 10.1016/0038-0717(94)90211-9
	Solomon W, Janda T, Molnár Z. Unveiling the significance of rhizosphere: implications for plant growth, stress response, and sustainable agriculture. Plant Physiology and Biochemistry, 2024, 206, 108290. doi: 10.1016/j.plaphy.2023.108290
	Sun L, Tsujii Y, Xu T, et al. Species of fast bulk-soil nutrient cycling have lower rhizosphere effects: a nutrient spectrum of rhizosphere effects. Ecology, 2023, 104, e3981. doi: 10.1002/ecy.3981
	Sun Z, Liu L, Peng S, et al. Age-related modulation of the nitrogen resorption efficiency response to growth requirements and soil nitrogen availability in a temperate pine plantation. Ecosystems, 2016, 19 (4): 698- 709. doi: 10.1007/s10021-016-9962-5
	Wang G, Lin G, Zhang Y, et al. Shifts from an extensive to an intensive root nutrient-acquisition mode with stand development of three Pinus species. Journal of Ecology, 2024a, 112, 886- 900. doi: 10.1111/1365-2745.14277
	Wang X, Guo H, Wang J, et al. Microbial phosphorus-cycling genes in soil under global change. Global Change Biology, 2024b, 30, e17281. doi: 10.1111/gcb.17281
	Wu G, Li X, Zhou S, et al. Soil organic carbon sources exhibit different patterns with stand age in rhizosphere and non-rhizosphere soils. CATENA, 2025a, 248, 108579. doi: 10.1016/j.catena.2024.108579
	Wu R, Wang Y, Huo X, et al. Drought and vegetation restoration patterns shape soil enzyme activity and nutrient limitation dynamics in the Loess Plateau. Journal of Environmental Management, 2025b, 374, 123846. doi: 10.1016/j.jenvman.2024.123846
	Zhang X, Dippold M A, Kuzyakov Y, et al. Spatial pattern of enzyme activities depends on root exudate composition. Soil Biology and Biochemistry, 2019, 133, 83- 93. doi: 10.1016/j.soilbio.2019.02.010
	Zhao P S, Ding G D, Li Q Y, et al. Unravelling belowground fungal community assembly: niche drives diversity and function, geography shapes stability and composition. Plant and Soil, 2026, 518, 41- 59. doi: 10.1007/s11104-025-07979-2
	Zhao X, Tian P, Sun Z, et al. Rhizosphere effects on soil organic carbon processes in terrestrial ecosystems: a meta-analysis. Geoderma, 2022, 412, 115739. doi: 10.1016/j.geoderma.2022.115739
	Zhu B, Gutknecht J L M, Herman D J, et al. Rhizosphere priming effects on soil carbon and nitrogen mineralization. Soil Biology and Biochemistry, 2014, 76, 183- 192. doi: 10.1016/j.soilbio.2014.04.033
	Zhu X, Liu D, Yin H. Roots regulate microbial N processes to achieve an efficient NH₄⁺ supply in the rhizosphere of alpine coniferous forests. Biogeochemistry, 2021, 155, 39- 57. doi: 10.1007/s10533-021-00811-w
	Zhu X, Liu M, Kou Y, et al. Differential effects of N addition on the stoichiometry of microbes and extracellular enzymes in the bulk and rhizosphere soils of an alpine shrubland. Plant and Soil, 2020, 449 (1/2): 285- 301. doi: 10.1007/s11104-020-04468-6
	Zuccarini P, Sardans J, Asensio L, et al. Altered activities of extracellular soil enzymes by the interacting global environmental changes. Global Change Biology, 2023, 29, 2067- 2091. doi: 10.1111/gcb.16604

样地 Plots		林龄 Stand age/a	平均树高 Mean tree height/m	平均胸径 Mean DBH/cm
HB	HB_28a	28	5.82±1.13	12.86±2.27
	HB_39a	39	9.01±2.16	20.94±3.02
	HB_48a	48	13.57±1.61	26.37±2.86

HQ	HQ_28a	28	5.84±1.06	12.27±2.21
	HQ_40a	40	10.05±1.28	18.35±2.76
	HQ_49a	49	12.65±2.73	24.69±3.42

MU	MU_27a	27	7.64±1.26	13.59±2.68
	MU_37a	37	12.35±1.37	21.89±1.19
	MU_48a	48	15.37±1.59	25.64±3.05

样地 Plots		pH	土壤含水率Soil water content (%)	气温 Temperature/ ℃	降水量 Precipitation/ mm	干燥度 Aridity index
HB	HB_28a	6.36±0.11	7.32±0.71	?0.42	356.91	2.24
	HB_39a	7.01±0.10	8.06±0.52	?0.52	354.57	2.24
	HB_48a	6.11±0.08	9.44±0.65	?0.53	352.98	2.25

HQ	HQ_27a	6.37±0.11	6.44±0.47	8.15	542.63	1.90
	HQ_40a	6.70±0.45	9.65±0.60	8.07	530.97	1.93
	HQ_49a	5.88±0.22	8.59±0.56	8.14	546.44	1.90

MU	MU_27a	7.62±0.14	5.05±0.42	9.55	432.71	2.60
	MU_37a	7.89±0.13	9.67±0.57	9.53	435.41	2.59
	MU_48a	8.10±0.29	9.14±0.69	9.53	435.41	2.59

分组Group	项目Item	因子Factor	自由度 Degrees of freedom	平方和 Sum of squares	F	P
非根际土 Bulk soil	有机碳含量 Soil organic carbon content	引种地 Introduction site	2	1 136.34	492.07	<0.001
		林龄（引种地）Stand age (introduction site)	6	515.57	74.42	<0.001
		残差Residuals	126	145.49
	蔗糖酶活性 Invertase activity	引种地 Introduction site	2	2 340.08	56 447.00	<0.001
		林龄（引种地）Stand age (introduction site)	6	44.08	354.50	<0.001
		残差Residuals	126	2.60
	纤维素酶活性 Cellulase activity	引种地 Introduction site	2	1 522.77	18127.00	<0.001
		林龄（引种地）Stand age (introduction site)	6	287.87	1142.00	<0.001
		残差Residuals	126	5.30

根际土 Rhizosphere soil	有机碳含量 Soil organic carbon content	引种地 Introduction site	2	508.25	158.58	<0.001
		林龄（引种地） Stand age (introduction site)	6	483.54	50.29	<0.001
		残差Residuals	126	201.91
	蔗糖酶活性 Invertase activity	引种地 Introduction site	2	2 327.73	44 657.80	<0.001
		林龄（引种地） Stand age (introduction site)	6	29.89	191.20	<0.001
		残差Residuals	126	3.30
	纤维素酶活性 Cellulase activity	引种地 Introduction site	2	2 589.20	29 753.40	<0.001
		林龄（引种地） Stand age (introduction site)	6	118.60	454.10	<0.001
		残差Residuals	126	5.50

分组Group	项目Item	因子 Factor	自由度 Degrees of freedom	平方和 Sum of squares	F	P
非根际土 Bulk soil	全氮含量 Total nitrogen content	引种地 Introduction site	2	6.57	368.23	<0.001
		林龄（引种地）Stand age (introduction site)	6	0.33	6.23	<0.001
		残差Residuals	126	1.13
	碱解氮含量 Available nitrogen content	引种地 Introduction site	2	732.68	58.91	<0.001
		林龄（引种地）Stand age (introduction site)	6	4 001.76	107.24	<0.001
		残差Residuals	126	784.00
	脲酶活性 Urease activity	引种地 Introduction site	2	3 290.24	170.20	<0.001
		林龄（引种地） Stand age (introduction site)	6	10 338.00	178.20	<0.001
		残差Residuals	126	1 22

根际土 Rhizosphere soil	全氮含量 Total nitrogen content	引种地 Introduction site	2	4.55	427.70	<0.001
		林龄（引种地） Stand age (introduction site)	6	0.72	22.68	<0.001
		残差Residuals	126	0.67
	碱解氮含量 Available nitrogen content	引种地 Introduction site	2	30 134.17	1 874.18	<0.001
		林龄（引种地） Stand age (introduction site)	6	4 367.80	90.57	<0.001
		残差Residuals	126	1 012.95
	脲酶活性 Urease activity	引种地 Introduction site	2	7 562.95	1067.00	<0.001
		林龄（引种地） Stand age (introduction site)	6	12 900.85	606.70	<0.001
		残差Residuals	126	447.00

分组Group	项目Item	因子 Factor	自由度 Degrees of freedom	平方和 Sum of squares	F	P
非根际土 Bulk soil	全磷含量 Total phosphorus content	引种地 Introduction site	2	1.96	1 563.40	<0.001
		林龄（引种地）Stand age (introduction site)	6	0.06	15.20	<0.001
		残差Residuals	126	0.08
	有效磷含量 Available phosphorus content	引种地 Introduction site	2	424.02	1 359.64	<0.001
		林龄（引种地）Stand age (introduction site)	6	47.48	50.75	<0.001
		残差Residuals	126	19.64
	酸性磷酸酶活性 Acid phosphatase activity	引种地 Introduction site	2	440.25	36 517.90	<0.001
		林龄（引种地） Stand age (introduction site)	6	22.40	619.70	<0.001
		残差Residuals	126	0.8

根际土 Rhizosphere soil	全磷含量 Total phosphorus content	引种地 Introduction site	2	2.08	1 356.99	<0.001
		林龄（引种地） Stand age (introduction site)	6	0.017	3.58	0.003
		残差Residuals	126	0.10
	有效磷含量 Available phosphorus content	引种地 Introduction site	2	448.45	568.82	<0.001
		林龄（引种地） Stand age (introduction site)	6	31.91	13.49	<0.001
		残差Residuals	126	49.67
	酸性磷酸酶活性 Acid phosphatase activity	引种地 Introduction site	2	537.79	33 983.10	<0.001
		林龄（引种地） Stand age (introduction site)	6	16.10	338.70	<0.001
		残差Residuals	126	1.00

Soil Characteristics, Rhizosphere Effects and Their Influencing Factors in Pinus sylvestris var. mongolica Plantations

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 16

References 0

Related Articles 15

Recommended Articles

Metrics

Comments

项目Item	因子 Factor	自由度 Degrees of freedom	平方和 Sum of squares	F	P
有机碳根际效应 Rhizosphere effect of soil organic carbon	引种地 Introduction site	2	36.96	145.50	<0.001
	林龄（引种地） Stand age (introduction site)	6	24.16	31.71	<0.001
	残差Residuals	126	16.00

蔗糖酶根际效应 Rhizosphere effect of invertase	引种地 Introduction site	2	0.19	385.66	<0.001
	林龄（引种地） Stand age (introduction site)	6	0.12	81.87	<0.001
	残差Residuals	126	0.03

纤维素酶根际效应 Rhizosphere effect of cellulase	引种地 Introduction site	2	0.60	2057.00	<0.001
	林龄（引种地） Stand age (introduction site)	6	0.55	636.90	<0.001
	残差Residuals	126	0.018 3

[1]	Xuezheng Han,Nianpeng He,Weixiang Cai,Weigang Li. Methods of the Long-Term Dynamics Prediction for Forest Ecosystem Carbon Sink based on Forest Growth Processes: Theoretical Basis and Framework Analysis [J]. Scientia Silvae Sinicae, 2026, 62(7): 230-239.
[2]	Yuxin Hu,Yihang Jiang,Zhenhua Liu,Guangyu Zhu,Jianguo Zhang,Xiongqing Zhang. Effects of Understory Enrichment Planting Modes in Pure Chinese fir Forests on Soil Quality and Microbial Communities [J]. Scientia Silvae Sinicae, 2026, 62(3): 61-73.
[3]	Haifeng Yin,Size Liu,Jie Zeng,Yu Su,Anwei Yu,Xianwei Li. Mutual Feedback between Root Decomposition of Pinus massoniana and Soil Nematode Trophic Groups under Forest Gap Transformation [J]. Scientia Silvae Sinicae, 2026, 62(2): 85-96.
[4]	Jianwen Hu,Changfu Liu,Mengmeng Gou,Lei Lei,Huiling Chen,Jiajia Zhang,Sufeng Zhu,Ruyuan Hu,Wenfa Xiao. Response and Driving Factors of Soil Organic Carbon and Its Fractions to Stand Age in Pinus massoniana Plantation [J]. Scientia Silvae Sinicae, 2025, 61(6): 75-84.
[5]	Jiangtao Guo,Jingjing Peng,Xin Ma,Fan Liu,Yongxiu Xia. Responses of Poplar Plantations in Northern China Sandy Land to Conventional Fertilization and Drip Fertigation [J]. Scientia Silvae Sinicae, 2025, 61(10): 135-145.
[6]	Xiaoyan Zhang,Xiaofeng Ni,Qiong Cai,Chengjun Ji. Leaf Anatomical Traits of Understory Plants and Their Response to Nitrogen Addition in a Chronosequence of Larix principis-rupprechtii Plantations in Saihanba, Hebei Province [J]. Scientia Silvae Sinicae, 2025, 61(1): 37-46.
[7]	Xiangrong Liu,Qiwu Sun,Lingyu Hou,Zhongyi Pang,Yanlin Zhang,Changjun Ding. The Differences in Soil Microbial Community Structure and Functional Diversity among Poplar Plantations at Different Ages in the Songliao Plain [J]. Scientia Silvae Sinicae, 2024, 60(11): 25-36.
[8]	Haotong Ma,Guangze Jin,Zhili Liu. Changes of Basal Area Growth of Pinus koraiensis with Tree Ages and Impact Factors in Xiaoxing’ anling Mountains, Northeast China [J]. Scientia Silvae Sinicae, 2023, 59(7): 96-105.
[9]	Jinlian Huang,Hongxia Cui,Wanpeng Tang,Chen Hu,Zhiyuan Ma,Jingpin Lei. Effects of Insect Disturbance on Characteristics of Soil Enzyme Activity and C∶N∶P Stoichiometry in Pinus armandii Forest [J]. Scientia Silvae Sinicae, 2023, 59(10): 128-137.
[10]	Shuzhen Wang,Jingjing Liang,Mingzhuo Bao,Fei Pan,Chuifan Zhou. Variation of Soil Phosphorus Fractions and the Phosphorus Solubilizing Microbial Communities in Chinese Fir Monoculture Plantations with Different Ages [J]. Scientia Silvae Sinicae, 2022, 58(2): 58-69.
[11]	Li Cao,Yang Wang,Yunli Yang,Yu Zheng,Wei Wang,Guifeng Liu,Jing Jiang. Growth Variation, Rhizosphere Soil Enzyme Activity and Microbial Community Composition of Transgenic BpGLK Betula pendula 'Dplecprlicp' [J]. Scientia Silvae Sinicae, 2022, 58(12): 21-31.
[12]	Yanlin Zhang,Caifeng Huang,Mingzhuo Bao,Chuifan Zhou,Zongming He. Effects of Biochar and Its Aging Biochar on Soils Nutrients and Microbial Community Composition in Cunninghamia lanceolata Plantations: a Laboratory Simulation Experiment [J]. Scientia Silvae Sinicae, 2021, 57(6): 169-179.
[13]	Yi Li,Xiuxiu Feng,Fazhu Zhao,Yaoxin Guo,Jun Wang,Chengjie Ren. Structure Characteristics of Soil Microbial Community in Quercus aliena var. acuteserrata Forests at Different Altitudes in Qinling Mountains [J]. Scientia Silvae Sinicae, 2021, 57(12): 22-31.
[14]	Peishan Zhao,Mishan Guo,Guanglei Gao,Guodong Ding,Ying Zhang. Characteristics of Community Structure and Functional Group of Fungi in Roots of Pinus sylvestris var. mongolica in the Horqin Sandy Land [J]. Scientia Silvae Sinicae, 2020, 56(9): 87-96.
[15]	Du Yichen, Li Mingze, Fan Wenyi, Wang Bin. Estimation of Forest Stand Age Based on GWR Model and Forest Fire Remote Sensing Data [J]. Scientia Silvae Sinicae, 2019, 55(6): 184-194.