林分密度对刺槐人工林土壤养分和微生物群落的影响

doi:10.13866/j.azr.2025.02.08

Abstract

Abstract:

Soil nutrient levels and microbial community structures are critical indicators for evaluating the ecosystem services of artificial forests. In arid and semi-arid regions, which are the major distribution areas for artificial forests, the regulatory effects of stand density on soil nutrients and microbial communities remain poorly understood. This study analyzed a 30-year-old Robinia pseudoacacia plantation on the Loess Plateau’s eastern edge. Based on Reineke’s stand density effect law and regional management standards, the stands were categorized into low (950-1350 trees·hm^-2), medium (1600-2050 trees·hm^-2), and high (2400-3300 trees·hm^-2) density groups. Data were collected through field surveys, soil nutrient analyses, and high-throughput sequencing of 16S rRNA and ITS. These methods systematically assessed the soil nutrient characteristics and microbial community structures and diversity across different stand densities. The study’s findings indicate that as the stand density increases, the soil total nitrogen, nitrate nitrogen, total carbon, and organic carbon contents significantly increase, especially in the high-density group (P<0.05). Conversely, the available phosphorus content peaks in the medium-density group. The bacterial community was primarily composed of Proteobacteria (38.70%), Actinobacteria (19.37%), Gemmatimonadetes (8.23%), and Chloroflexi (7.71%), with Actinobacteria’s relative abundance significantly increasing alongside the stand density (P<0.05). In the fungal community, Ascomycota (51.79%), Mortierellomycota (30.70%), and Basidiomycota (10.07%) were the dominant phyla. In the high-density group, bacterial and fungal community diversity was significantly enhanced, as evidenced by notable increases in the Shannon and Chao1 indices (P<0.05). Principal Coordinates Analysis revealed that the bacterial community structures in the medium- and low-density groups exhibited significant clustering, distinctly differing from those in the high-density group (P<0.05). In contrast, the fungal community structures remained relatively stable across different stand densities. The Mantel test revealed that bacterial and fungal community structures were significantly associated with TN (P<0.05). Cooccurrence network analysis indicated that moderate stand density increases microbial interaction strength and network complexity. However, when the stand density exceeded 2400 trees·hm^-2, the network stability decreased, potentially hindering efficient resource utilization. Maintaining a stand density of 1600-2050 trees·hm^-2 improves soil nutrient levels and enhances microbial community diversity and stability, providing a scientific basis for the sustainable management of R. pseudoacacia plantations on the Loess Plateau.

Key words: stand density, Robinia pseudoacacia plantations, soil nutrients, microbial community, arid and semi-arid regions

ZHANG Jianing, ZHANG Jianjun, LAI Zongrui, ZHAO Jiongchang, HU Yawei, LI Yang, WEI Chaoyang. Effects of stand density on soil nutrients and microbial communities in Robinia pseudoacacia plantations[J].Arid Zone Research, 2025, 42(2): 274-288.

Figures/Tables 12

Fig. 1

Tab. 1

Tab. 2

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Tab. 3

Fig. 7

Fig. 8

Fig. 9

References 59

[1]	张璐, 吕楠, 程临海. 干旱区生态系统稳态转换及其预警信号——基于景观格局特征的识别方法[J]. 生态学报, 2023, 43(15): 6486-6498.
	[Zhang Lu, Lü Nan, Cheng Linhai. Regime shifts and early warning signals in dryland ecosystems—an identification method based on landscape pattern characteristics[J]. Acta Ecologica Sinica, 2023, 43(15): 6486-6498. ]
[2]	于贵瑞, 郝天象, 杨萌. 中国区域生态恢复和环境治理的生态系统原理及若干学术问题[J]. 应用生态学报, 2023, 34(2): 289-304. doi: 10.13287/j.1001-9332.202302.030
	[Yu Guirui, Hao Tianxiang, Yang Meng. Ecosystem principles and main issues in regional ecological restoration and environmental governance in China[J]. Chinese Journal of Applied Ecology, 2023, 34(2): 289-304. ] doi: 10.13287/j.1001-9332.202302.030
[3]	Kou M, Jiao J Y. Changes in vegetation and soil properties across 12 years after afforestation in the hilly-gully region of the Loess Plateau[J]. Global Ecology and Conservation, 2021, 33(6): e01989.
[4]	Wang Y X, Dong G, Qu L P, et al. Ecosystem functioning of the Loess Plateau in China from vegetation restoration relied largely on climate[J]. Forests, 2023, 14(1): 27.
[5]	姜俊, 陈长启, 陈贝贝, 等. 林分密度对北京石质山地侧柏人工林碳氮磷化学计量和养分再吸收的影响[J]. 北京林业大学学报, 2024, 46(10): 33-41.
	[Jiang Jun, Chen Changqi, Chen Beibei, et al. Effects of stand density on carbon, nitrogen, and phosphorus stoichiometry and nutrient resorption in Platycladus orientalis plantations in rocky mountainous areas of Beijing[J]. Journal of Beijing Forestry University, 2024, 46(10): 33-41. ]
[6]	王思淇, 张建军, 张彦勤, 等. 晋西黄土区不同密度刺槐林下植物群落物种多样性[J]. 干旱区研究, 2023, 40(7): 1141-1151. doi: 10.13866/j.azr.2023.07.11
	[Wang Siqi, Zhang Jianjun, Zhang Yanqin, et al. Understory plant community diversity of Robinia pseudoacacia plantation with different densities in the loess plateau of western Shanxi Province[J]. Arid Zone Research, 2023, 40(7): 1141-1151. ] doi: 10.13866/j.azr.2023.07.11
[7]	江上喜. 造林密度对6年生杉木幼林生长及林下光环境的影响[J]. 亚热带农业研究, 2022, 18(4): 223-228.
	[Jiang Shangxi. Effects of density on growth and understory light environment of 6-year-old Chinese fir plantation[J]. Subtropical Agriculture Research, 2022, 18(4): 223-228. ]
[8]	吉吉佳门, 程一本, 谌玲珑, 等. 科尔沁沙地樟子松人工林土壤水分动态及其对降雨的响应[J]. 干旱区研究, 2023, 40(5): 756-766. doi: 10.13866/j.azr.2023.05.08
	[Jijijiamen, Cheng Yiben, Chen Linglong, et al. Dynamic changes in soil moisture and its response to rainfall in Pinus sylvestris var. mongolica plantation in Horqin Sandy Land[J]. Arid Zone Research, 2023, 40(5): 756-766. ]
[9]	崔艳红, 毕华兴, 侯贵荣, 等. 晋西黄土残塬沟壑区刺槐林土壤入渗特征及影响因素分析[J]. 北京林业大学学报, 2021, 43(1): 77-87.
	[Cui Yanhong, Bi Huaxing, Hou Guirong, et al. Soil infiltration characteristics and influencing factors of Robinia pseudoacacia plantation in the loess gully region of western Shanxi Province, northern China[J]. Journal of Beijing Forestry University, 2021, 43(1): 77-87. ]
[10]	韦景树, 李宗善, 冯晓玙, 等. 黄土高原人工刺槐林生长衰退的生态生理机制[J]. 应用生态学报, 2018, 29(7): 2433-2444.
	[Wei Jingshu, Li Zongshan, Feng Xiaoyu, et al. Ecological and physiological mechanisms of growth decline of Robinia pseudoacacia plantations in the Loess Plateau of China: A review[J]. Chinese Journal of Applied Ecology, 2018, 29(7): 2433-2444. ]
[11]	丛微. 典型森林土壤微生物群落及其与植物的共存关系研究[D]. 北京: 中国林业科学研究院, 2020.
	[Cong Wei. Study on the Soil Microbial Community and Coexistence with Plants of Typical Forest[D]. Beijing: Chinese Academy of Forestry, 2020. ]
[12]	王岩松, 马保明, 高海平, 等. 晋西黄土区油松和刺槐人工林土壤养分及其化学计量比对林分密度的响应[J]. 北京林业大学学报, 2020, 42(8): 81-93.
	[Wang Yansong, Ma Baoming, Gao Haiping, et al. Response of soil nutrients and their stoichiometric ratios to stand density in Pinus tabuliformis and Robinia pseudoacacia plantations in the loess region of western Shanxi Province, northern China[J]. Journal of Beijing Forestry University, 2020, 42(8): 81-93. ]
[13]	胡亚伟, 施政乐, 刘畅, 等. 晋西黄土区刺槐林密度对林下植物多样性及土壤理化性质的影响[J]. 生态学杂志, 2023, 42(9): 2072-2080.
	[Hu Yawei, Shi Zhengle, Liu Chang, et al. Effects of stand densities on understory vegetation diversity and soil physicochemical properties of Robinia pseudoacacia forest in loess region of western Shanxi Province[J]. Chinese Journal of Ecology, 2023, 42(9): 2072-2080. ]
[14]	黄浩博, 毕华兴, 赵丹阳, 等. 黄土高原不同密度刺槐林地土壤-微生物-胞外酶生态化学计量特征[J/OL]. 生态学报, 2025, (03): 1-11.
	[Huang Haobo, Bi Huaxing, Zhao Danyang, et al. Ecological stoichiometry of soil, microbial biomass, and extracellular enzyme in Robinia pseudoacacia with different stand densities in the Loess Plateau[J/OL]. Acta Ecologica Sinica, 2025, (03): 1-11. ]
[15]	Zhao M, Sun Y R, Liu S H, et al. Effects of stand density on the structure of soil microbial functional groups in Robinia pseudoacacia plantations in the hilly and gully region of the Loess Plateau, China[J]. Science of the Total Environment, 2024, 912: 169337.
[16]	常译方. 晋西黄土区典型林地土壤水分特征及模拟[D]. 北京: 北京林业大学, 2018.
	[Chang Yifang. Soil Moisture Characteristics and Simulation in Typical Forestlands in Loess Region of Western Shanxi Province[D]. Beijing: Beijing Forestry University, 2018. ]
[17]	鲍士旦. 土壤农化分析[M]. 北京: 中国农业出版社, 2000.
	[Bao Shidan. Soil Agrochemical Analysis[M]. Beijing: China Agricultural Press, 2000. ]
[18]	Callahan B, McMurdie P, Holmes S. Exact sequence variants should replace operational taxonomic units in marker-gene data analysis[J]. The ISME Journal, 2017, 11(12): 2639-2643.
[19]	Tedersoo L, Tooming-Klunderud A, Anslan S. PacBio metabarcoding of fungi and other eukaryotes: Embracing full-length amplicons and completeness[J]. New Phytologist, 2018, 217(3): 1370-1385. doi: 10.1111/nph.14776 pmid: 28906012
[20]	贾亚倢, 杨建英, 张建军, 等. 晋西黄土区林分密度对油松人工林生物量及土壤理化性质的影响[J]. 浙江农林大学学报, 2024, 41(6): 1211-1221.
	[Jia Yajie, Yang Jianying, Zhang Jianjun, et al. Effects of stand density on biomass and soil physico-chemical properties of Pinus tabuliformis forest in the loess area of western Shanxi[J]. Journal of Zhejiang A & F University, 2024, 41(6): 1211-1221. ]
[21]	崔国龙, 李强峰, 高英, 等. 青海大通北川河源区典型植被土壤微生物群落结构特征及影响因素[J]. 干旱区研究, 2024, 41(7): 1195-1206. doi: 10.13866/j.azr.2024.07.11
	[Cui Guolong, Li Qiangfeng, Gao Ying, et al. Characteristics of soil microbial communities structure and influencing factors in typical vegetation in the Beichuan River source area of Datong, Qinghai[J]. Arid Zone Research, 2024, 41(7): 1195-1206. ] doi: 10.13866/j.azr.2024.07.11
[22]	仲怡铭, 陈徵尼, 王慧慧, 等. 油松人工林林分特征对密度调控的响应[J]. 森林与环境学报, 2023, 43(6): 606-613.
	[Zhong Yiming, Chen Zhengni, Wang Huihui, et al. Responses of stand characteristics of Pinus tabuliformis plantation to density regulation[J]. Journal of Forest and Environment, 2023, 43(6): 606-613. ]
[23]	Zeng X H, Zhang W J, Cao J S, et al. Changes in soil organic carbon, nitrogen, phosphorus, and bulk density after afforestation of the “Beijing-Tianjin Sandstorm Source Control” program in China[J]. Catena, 2014, 118: 186-194.
[24]	Shi S W, Peng C H, Wang M, et al. A global meta-analysis of changes in soil carbon, nitrogen, phosphorus, and sulfur, and stoichiometric shifts after forestation[J]. Plant and Soil, 2016, 407: 323-340.
[25]	张宁宁, 黄诗浩, 雷衡, 等. 基于¹³⁷Cs 示踪技术的土壤侵蚀及养分流失特征评价[J]. 生态学报, 2022, 42(22): 9274-9283.
	[Zhang Ningning, Huang Shihao, Lei Heng, et al. Assessment of soil erosion and nutrient loss characteristics based on ¹³⁷Cs tracer technique[J]. Acta Ecologica Sinica, 2022, 42(22): 9274-9283. ]
[26]	王梓名, 赵明明, 任云卯, 等. 主伐龄油松建筑材林生长及土壤性质对林分密度的响应[J]. 北京林业大学学报, 2022, 44(12): 88-101.
	[Wang Ziming, Zhao Mingming, Ren Yunmao, et al. Response of growth and soil properties of Chinese pine building timber forest atfelling age to stand density[J]. Journal of Beijing Forestry University, 2022, 44(12): 88-101. ]
[27]	付志高, 肖以华, 许涵, 等. 南亚热带常绿阔叶林土壤微生物生物量碳氮年际动态特征及其影响因子[J]. 生态学报, 2024, 44(3): 1092-1103.
	[Fu Zhigao, Xiao Yihua, Xu Han, et al. Inter-annual dynamics of soil microbial biomass carbon and nitrogen in subtropical evergreen broad-leaved forest and its environmental impact factors[J]. Acta Ecologica Sinica, 2024, 44(3): 1092-1103. ]
[28]	Fang X M, Zhang X L, Zong Y Y, et al. Soil phosphorus functional fractions and tree tissue nutrient concentrations influenced by stand density in subtropical Chinese fir plantation forests[J]. Plos One, 2017, 12(10): e0186905.
[29]	王晓, 毕银丽, 王义, 等. 沙棘林密度和丛枝菌根真菌接种对林下植物和土壤性状的影响[J]. 林业科学, 2023, 59(10): 138-149.
	[Wang Xiao, Bi Yinli, Wang Yi, et al. Effects of planting density of Hippophae rhamnoides and inoculation of AMF on understory vegetation growth and soil improvement[J]. Scientia Silvae Sinicae, 2023, 59(10): 138-149. ]
[30]	刘少华, 赵敏, 王亚娟, 等. 黄土丘陵区林分密度对人工刺槐林土壤理化性质及酶活性影响[J]. 水土保持研究, 2024, 31(5): 123-129.
	[Liu Shaohua, Zhao Min, Wang Yajuan, et al. Effects of stand density on soil physicochemical properties and enzyme activities in Robinia pseudoacacia plantations in the Loess hilly-gully region[J]. Research of Soil and Water Conservation, 2024, 31(5): 123-129. ]
[31]	Guo J, Wu Y Q, Wu X H, et al. Soil bacterial community composition and diversity response to land conversion is depth-dependent[J]. Global Ecology and Conservation, 2021, 32: e01923.
[32]	张颂安, 刘轩, 赵珮杉, 等. 呼伦贝尔沙地樟子松人工林土壤细菌网络特征[J]. 干旱区研究, 2023, 40(6): 905-915. doi: 10.13866/j.azr.2023.06.06
	[Zhang Songan, Liu Xuan, Zhao Peishan, et al. Soil bacterial networks in Pinus sylvestris var. mongolica plantationsof the Hulunbuir Desert[J]. Arid Zone Research, 2023, 40(6): 905-915. ] doi: 10.13866/j.azr.2023.06.06
[33]	Zhao F Z, Fan X D, Ren C J, et al. Changes of the organic carbon content and stability of soil aggregates affected by soil bacterial community after afforestation[J]. Catena, 2018, 171: 622-631.
[34]	Deng J J, Zhang Y, Yin Y, et al. Comparison of soil bacterial community and functional characteristics following afforestation in the semi-arid areas[J]. PeerJ, 2019, 7: e7141.
[35]	Zuo Y W, Li W Q, Zeng Y L, et al. Changes in the soil microenvironment during ecological restoration of forest parks in megacities[J]. Ecological Indicators, 2024, 66: 112261.
[36]	刘炜璇, 李依蒙, 江红星, 等. 吉林莫莫格国家级自然保护区四种典型植物群落下土壤微生物组成的对比分析[J]. 生态学杂志, 2024, 43(10): 2988-2998.
	[Liu Weixuan, Li Yimeng, Jiang Hongxing, et al. Comparative analysis of soil microbial composition of four typical plant communities in Momoge National Nature Reserve, Jilin Province[J]. Chinese Journal of Ecology, 2024, 43(10): 2988-2998. ] doi: 10.13292/j.1000-4890.202410.040
[37]	Zhai K T, Hua Y C, Liang J W, et al. Soil microbial diversity under different types of interference in birch secondary forest in the Greater Khingan Mountains in China[J]. Frontiers in Microbiology, 2023, 14: 1267746.
[38]	钟超, 任媛媛, 鲁安怀, 等. 低能量环境中微生物生存策略[J]. 微生物学报, 2024, 64(12): 4480-4503.
	[Zhong Chao, Ren Yuanyuan, Lu Anhuai, et al. Survival strategies of microorganisms in low-energy environments[J]. Acta Microbiologica Sinica, 2024, 64(12): 4480-4503. ]
[39]	Xu M P, Wang J Y, Zhu Y F, et al. Plant biomass and soil nutrients mainly explain the variation of soil microbial communities during secondary succession on the Loess Plateau[J]. Microbial Ecology, 2022, 83(3): 114-126.
[40]	Song Y H, Zhai J Y, Zhang J Y, et al. Forest management practices of Pinus tabulaeformis plantations alter soil organic carbon stability by adjusting microbial characteristics on the Loess Plateau of China[J]. Science of The Total Environment, 2021, 766: 144209.
[41]	罗佳煜, 宋瑞清, 邓勋, 等. PGPR与外生菌根菌互作对樟子松促生作用及根际微生态环境的影响[J]. 中南林业科技大学学报, 2021, 41(9): 22-34.
	[Luo Jiayu, Song Ruiqing, Deng Xun, et al. PGPR interacts with ectomycorrhizal fungi to promote growth of Pinus sylvestnis var. mongolica and to effect of rhizosphere microecological environmen[J]. Journal of Central South University of Forestry & Technology, 2021, 41(9): 22-34. ]
[42]	李丹丹, 李佳文, 高广磊, 等. 科尔沁沙地樟子松(Pinus sylvestris var. mongolica)人工林土壤真菌群落结构和功能特征[J]. 中国沙漠, 2023, 43(4): 241-251. doi: 10.7522/j.issn.1000-694X.2023.00035
	[Li Dandan, Li Jiawen, Gao Guanglei, et al. Soil fungal community structure and functional characteristics associated with Pinus sylvestris var. mongolica plantations in the Horqin Sandy Land[J]. Journal of Desert Research, 2023, 43(4): 241-251. ] doi: 10.7522/j.issn.1000-694X.2023.00035
[43]	Xue Y Y, Chen H H, Yang J R, et al. Distinct patterns and processes of abundant and rare eukaryotic plankton communities following a reservoir cyanobacterial bloom[J]. ISME Journal, 2018, 12(9): 2263-2277. doi: 10.1038/s41396-018-0159-0 pmid: 29899512
[44]	Li W T, Liu Q H, Xie L L, et al. Interspecific plant-plant interactions increase the soil microbial network stability, shift keystone microbial taxa, and enhance their functions in mixed stands[J]. Forest Ecology and Management, 2023, 533: 120851.
[45]	Creamer R, Hannula S, van Leeuwen J, et al. Ecological network analysis reveals the inter-connection between soil biodiversity and ecosystem function as affected by land use across Europe[J]. Applied Soil Ecology, 2016, 97: 112-124.
[46]	Zarafshar M, Vincent G, Korboulewsky N, et al. The impact of stand composition and tree density on topsoil characteristics and soil microbial activities[J]. Catena, 2024, 234: 107541.
[47]	Chen J, Feng K, Hannula S E, et al. Interkingdom plant-microbial ecological networks under selective and clear cutting of tropical rainforest[J]. Forest Ecology and Management, 2021, 491: 119182.
[48]	Wang C, Shi Z Y, Li A G, et al. Long-term nitrogen input reduces soil bacterial network complexity by shifts in life-history strategy in temperate grassland[J]. iMeta, 2024, 3(3): e194.
[49]	Yang T, Tedersoo L, Liu X, et al. Fungi stabilize multi-kingdom community in a high elevation timberline ecosystem[J]. iMeta, 2022, 1(4): e49.
[50]	Li C C, Jin L, Zhang C, et al. Destabilized microbial networks with distinct performances of abundant and rare biospheres in maintaining networks under increasing salinity stress[J]. iMeta, 2023, 2(1): e79.
[51]	Gong H Y, Wang H X, Wang Y, et al. Topological change of soil microbiota networks for forest resilience under global warming[J]. Physics of Life Reviews, 2024, 50: 228-251. doi: 10.1016/j.plrev.2024.08.001 pmid: 39178631
[52]	吴文超, 岳平, 崔晓庆, 等. 古尔班通古特沙漠土壤微生物碳氮对环境因子的响应[J]. 干旱区研究, 2018, 35(3): 515-523.
	[Wu Wenchao, Yue Ping, Cui Xiaoqing, et al. Response of soil microbial biomass carbon and nitrogen deposition to precipitation and temperature in the Gurbantunggut Desert[J]. Arid Zone Research, 2018, 35(3): 515-523. ]
[53]	Wang J Q, Shi X Z, Zheng C Y, et al. Different responses of soil bacterial and fungal communities to nitrogen deposition in a subtropical forest[J]. Science of the Total Environment, 2021, 755(1): 142449.
[54]	张彤, 刘静, 韩叙, 等. 放牧对沙地樟子松林土壤养分及微生物群落的影响[J]. 干旱区研究, 2023, 40(2): 194-202. doi: 10.13866/j.azr.2023.02.04
	[Zhang Tong, Liu Jing, Han Xu, et al. Effects of grazing on soil nutrients and microbial community of Pinus sylvestris var. mongolica forest in sandy land[J]. Arid Zone Research, 2023, 40(2): 194-202. ]
[55]	Chen Y C, Yin S W, Shao Y, et al. Soil bacteria are more sensitive than fungi in response to nitrogen and phosphorus enrichment[J]. Frontiers in Microbiology, 2022, 13: 999385.
[56]	Chen X, Hao B H, Jing X, et al. Minor responses of soil microbial biomass, community structure and enzyme activities to nitrogen and phosphorus addition in three grassland ecosystems[J]. Plant and Soil, 2019, 444: 21-37.
[57]	张韶阳, 樊丹丹, 孔维栋. 增温对干旱区土壤微生物多样性及固碳功能的影响[J]. 生态学杂志, 2024, 43(6): 1817-1823.
	[Zhang Shaoyang, Fan Dandan, Kong Weidong. Effects of warming on soil microbial diversity and carbon sequestration function in drylands[J]. Chinese Journal of Ecology, 2024, 43(6): 1817-1823. ]
[58]	张蕾, 王强, 杨新月, 等. 黄土丘陵区退耕还林对土壤真菌群落的影响[J]. 环境科学, 2023, 44(3): 1758-1767.
	[Zhang Lei, Wang Qiang, Yang Xinyue, et al. Effect of the process of returning farmland to forest in the Loess Hilly area on soil fungal communities[J]. Environmental Science, 2023, 44(3): 1758-1767. ]
[59]	Haas J C, Street N R, Sjödin A, et al. Microbial community response to growing season and plant nutrient optimisation in a boreal Norway spruce forest[J]. Soil Biology and Biochemistry, 2018, 125: 197-209.

分组	林分密度 /(株·hm^-2)	海拔 /m	坡位	坡向	平均坡度/(°)	平均树高/m	平均胸径/cm	平均地径/cm	平均水平冠幅/m	平均顺坡冠幅/m	主要林下植被
低密度	1218.75±141.89	1133.49±42.05	中坡	阳坡	23.31±4.91	10.53±1.07	13.12±2.13	16.93±1.98	4.03±0.22	4.76±0.39	茅莓、青杞、黄刺玫、铁杆蒿
中密度	1893.75±135.46	1102.90±43.57	中坡	阳坡	24.00±7.65	8.89±1.09	9.93±1.22	13.77±1.46	3.67±0.27	4.04±0.35	虉草、黑麦草、茅莓、青蒿、白首乌
高密度	2723.25±297.09	1098.41±36.26	中坡	阳坡	21.13±15.43	7.11±1.35	8.30±1.04	11.63±1.30	3.19±0.32	3.85±0.62	虉草、茅莓、青蒿、铁杆蒿、蒌蒿、黄刺玫、茜草

分组	全氮/(g·kg^-1)	铵态氮/(mg·kg^-1)	硝态氮/(mg·kg^-1)	全碳/(g·kg^-1)	有机碳/(g·kg^-1)	全磷/(g·kg^-1)	有效磷/(mg·kg^-1)
低密度组(n=40)	0.65±0.17b	10.05±2.39a	9.01±3.66b	23.44±3.00b	5.34±1.33b	0.56±0.04a	1.64±0.61b
中密度组(n=40)	0.80±0.34ab	10.10±2.63a	11.14±3.21ab	23.91±2.03ab	5.41±1.62b	0.55±0.04a	2.99±1.02a
高密度组(n=40)	1.10±0.38a	10.27±3.00a	15.43±7.25a	28.32±5.39a	8.01±1.38a	0.53±0.06a	2.53±0.87ab

网络拓扑参数	细菌			真菌
网络拓扑参数	低密度	中密度	高密度	低密度	中密度	高密度
节点数	434	450	536	126	111	189
边数	609	698	1239	197	142	294
正相关数	606	696	1234	197	142	294
负相关数	3	2	5	0	0	0
平均度	2.81	3.10	4.62	3.13	2.56	3.11
平均路径长度	1.04	1.02	1.06	1.24	1.14	1.22
网络直径	2.98	1.99	1.99	1.98	1.98	3.97
网络密度	0.01	0.01	0.01	0.03	0.02	0.02
聚类系数	0.99	0.99	0.99	0.9	0.94	0.94

Effects of stand density on soil nutrients and microbial communities in Robinia pseudoacacia plantations

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 12

References 59

Related Articles 13

Metrics

Comments

Recommended 0

[1]	CUI Guolong, LI Qiangfeng, GAO Ying, LIU Weijun, ZHANG Mei. Characteristics of soil microbial communities structure and influencing factors in typical vegetation in the Beichuan River Source Area of Datong, Qinghai [J]. Arid Zone Research, 2024, 41(7): 1195-1206.
[2]	AN Ning, GUO Bin, ZHANG Dongmei, YANG Qiyue, LUO Weicheng. Desert vegetation composition and spatial distribution of soil nutrients in the middle section of Hexi Corridor [J]. Arid Zone Research, 2024, 41(3): 432-443.
[3]	ZHANG Jiudan, ZHANG Aiguo, JIN Jingyu, LIU Shuaiqi, WU Han, LI Junli. Physicochemical characteristics and quality assessment of Gobi soils, Hami City, China [J]. Arid Zone Research, 2024, 41(11): 1864-1874.
[4]	WANG Siqi, ZHANG Jianjun, ZHANG Yanqin, ZHAO Jiongchang, HU Yawei, LI Yang, TANG Peng, WEI Zhaoyang. Understory plant community diversity of Robinia pseudoacacia plantation with different densities in the loess plateau of western Shanxi Province [J]. Arid Zone Research, 2023, 40(7): 1141-1151.
[5]	ZHANG Tong, LIU Jing, HAN Xu, TONG Yuqiang, WEI Yawei. Effects of grazing on soil nutrients and microbial community of Pinus sylvestris var. mongolica forest in sandy land [J]. Arid Zone Research, 2023, 40(2): 194-202.
[6]	MOU Hongxia,LIU Bingru,LI Zihao,LI Guoqi,MA Dongmei. Effects of mine water on soil microbial community structure and diversity in desert steppe [J]. Arid Zone Research, 2022, 39(5): 1618-1630.
[7]	HE Chaolu,LYU Haishen,ZHU Yonghua,LI Wentao,XIE Bingqi,XU Kaili,LIU Mingwen. Assessment of TIGGE precipitation forecast models in arid and semi-arid regions of China [J]. Arid Zone Research, 2022, 39(2): 368-378.
[8]	XU Jieliang,ZHANG Fenghua,LI Bianbian,WANG Jiaping,CHENG Zhibo. Effect of fertilization on the characteristics of soil microbial community in the rhizosphere of Cyperus esculentus in the sandy area of Xinjiang [J]. Arid Zone Research, 2021, 38(6): 1741-1749.
[9]	FAN Xianglong,LYU Xin,ZHANG Ze,GAO Pan,ZHANG Qiang,YIN Caixia,YI Xiang. Soil nutrient evaluation of cotton field based on distance clustering and K-means dynamic clustering [J]. Arid Zone Research, 2021, 38(4): 980-989.
[10]	ZHANG Anning,LIU Rentao,CHEN Wei,CHANG Haitao,JI Xueru. Effects of climatic factors on litter decomposition and soil fauna in arid regions [J]. Arid Zone Research, 2021, 38(3): 867-874.
[11]	LI Zongying,LUO Qinghui,XU Zhonglin. Effects of stand density on the biomass allocation and tree height-diameter allometric growth of Picea schrenkiana forest on the northern slope of the western Tianshan Mountains [J]. Arid Zone Research, 2021, 38(2): 545-552.
[12]	QI Zhengchao,CHANG Peijing,LI Yongshan,TIAN Xuemei,LI Xudong,GUO Ding,NIU Decao. Effects of grazing intensity on soil aggregates composition, stability, nutrients and C/N in desert shrubland [J]. Arid Zone Research, 2021, 38(1): 87-94.
[13]	YU Dong-wei, LEI Ze-yong, ZHAO Guo-jun, ZHANG Yan-song, YU De-liang, BAI Jin-ning, LI Yao. Response of Soil Physiochemical Properties under Sand-Fixation Forest of Pinus sylvestris var. mongolica to Stand Density [J]. Arid Zone Research, 2020, 37(1): 134-141.