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Research Article

Vol. 42 No. 3 (2025): Vol. 42 Núm. 3 (2025): Revista de Ciencias Agrícolas - Septiembre - Diciembre 2025

Effects of soil properties on mycorrhizal fungi responses: A Meta-Analysis

DOI
https://doi.org/10.22267/rcia.20254203.282
Submitted
June 21, 2024
Published
2025-12-28

Abstract

Recent studies have tested the sensitivity of Microbial-Based Indicators (MBIs), such as Arbuscular Mycorrhizal Fungi (AMF), for monitoring changes in soil properties across a wide range of environments.  However, the direction and magnitude of AMF responses depend on contextual factors such as land use, vegetation type, geography, and environmental variables. Thus, there is still no consensus about whether AMF show a consistent response to changes in certain soil properties. Likewise, a better understanding of how interactions among different aspects of the microbial community can modify the influence of soil properties on AMF responses is needed.  Based on data compiled across a wide geographic range, this study analyzes the responses observed in several aspects of AMF to soil properties across different land uses. A Dependency Network Analysis (DEPNA) was performed within a correlation network constructed using average correlation coefficients to evaluate the strength of relationships between soil properties and different MBIs while controlling the effect of another MBI. Average correlation coefficients were estimated via meta-analysis to account for experimental heterogeneity. The total Influence Degree (TID), computed from partial correlations, suggests strong dependencies between MBIs (related to AMF diversity, mycorrhizal colonization rate, and Glomalin Soil Proteins) and soil properties (Pb concentrations, soil structural features, and nutrient stocks). The results suggest that AMF emerge as robust microbial indicators of soil condition, reflecting both fertility enhancement and degradation. Partial correlation and dependency network analyses show that soil effects on AMF and GRSP are largely mediated by microbial biomass, respiration, and diversity, explaining responses across land uses and stress gradients.

References

  1. Adenan, S.; Oja, J.; Alatalo, J. M.; Shraim, A. -M.; Alsafran, M.; Tedersoo, L.; Zobel, M.; Ahmed, T. (2021). Diversity of arbuscular mycorrhizal fungi and its chemical drivers across dryland habitats. Mycorrhiza. 31(6). 685–697. https://doi.org/10.1007/s00572-021-01052-3
  2. Albornoz, F. E.; Ryan, M. H.; Bending, G. D.; Hilton, S.; Dickie, I. A.; Gleeson, D. B.; Standish, R. J. (2022). Agricultural land‐use favours Mucoromycotinian, but not Glomeromycotinian, arbuscular mycorrhizal fungi across ten biomes. New Phytologist. 233(3): 1369–1382. https://doi.org/10.1111/nph.17780
  3. Ao, D.; Wang, B.; Wang, Y.; Chen, Y.; Liang, C.; An, S. (2025). Arbuscular mycorrhizal fungi communities and glomalin mediate particulate and mineral-associated organic carbon formation in grassland patches. Communications Earth & Environment. 6(1): 553. https://doi.org/10.1038/s43247-025-02492-x
  4. Bai, X.; Dippold, M. A.; An, S.; Wang, B.; Zhang, H.; Loeppmann, S. (2021). Extracellular enzyme activity and stoichiometry: The effect of soil microbial element limitation during leaf litter decomposition. Ecological Indicators. 121: 107200. https://doi.org/10.1016/j.ecolind.2020.107200
  5. Batushansky, A.; Toubiana, D.; Fait, A. (2016). Correlation-Based Network Generation, Visualization, and Analysis as a Powerful Tool in Biological Studies: A Case Study in Cancer Cell Metabolism. BioMed Research International. 2016: 1–9. https://doi.org/10.1155/2016/8313272
  6. Bi, Y.; Xiao, L.; Liu, R. (2019). Response of arbuscular mycorrhizal fungi and phosphorus solubilizing bacteria to remediation abandoned solid waste of coal mine. International Journal of Coal Science & Technology. 6(4): 603–610. https://doi.org/10.1007/s40789-019-00270-7
  7. Bonfim, J.; Vasconcellos, R.; Stürmer, S.; Cardoso, E. (2013). Arbuscular mycorrhizal fungi in the Brazilian Atlantic forest: A gradient of environmental restoration. Applied Soil Ecology. 71: 7–14. https://doi.org/10.1016/j.apsoil.2013.04.005
  8. Buyer, J.; Zuberer, D.; Nichols, K.; Franzluebbers, A. (2011). Soil microbial community function, structure, and glomalin in response to tall fescue endophyte infection. Plant and Soil. 339(1–2): 401–412. https://doi.org/10.1007/s11104-010-0592-y
  9. Cai, C.; Huang, F.; Yang, Y.; Yu, S.; Wang, S.; Fan, Y.; Wang, Q.; Liu, W. (2023). Effects of glomalin-related soil protein driven by root on forest soil aggregate stability and carbon sequestration during urbanization in Nanchang, China. Plants. 12(9): 1847. https://doi.org/10.3390/plants12091847
  10. Camenzind, T.; Homeier, J.; Dietrich, K.; Hempel, S.; Hertel, D.; Krohn, A.; Leuschner, C.; Oelmann, Y.; Olsson, P. -A.; Suárez, J. -P.; Rillig, M. -C. (2016). Opposing effects of nitrogen versus phosphorus additions on mycorrhizal fungal abundance along an elevational gradient in tropical montane forests. Soil Biology and Biochemistry. 94: 37–47. https://doi.org/10.1016/j.soilbio.2015.11.011
  11. Cao, J.; Feng, Y.; Lin, X.; Wang, J. (2020). A beneficial role of arbuscular mycorrhizal fungi in influencing the effects of silver nanoparticles on plant-microbe systems in a soil matrix. Environmental Science and Pollution Research. 27(11): 11782–11796. https://doi.org/10.1007/s11356-020-07781-w
  12. Chen, M.; Arato, M.; Borghi, L.; Nouri, E.; Reinhardt, D. (2018). Beneficial Services of Arbuscular Mycorrhizal Fungi – From Ecology to Application. Frontiers in Plant Science. 9: 1270. https://doi.org/10.3389/fpls.2018.01270
  13. Chen, X.; Su, M.; Wu, S.; He, L.; Zhang, B.; Zhang, Y.; Huang, X.; Liu, J.; Yan, C.; Liu, W.; Lu, H. (2023). Change in glomalin-related soil protein along latitudinal gradient encompassing subtropical and temperate blue carbon zones. Science of The Total Environment. 895: 165035. https://doi.org/10.1016/j.scitotenv.2023.165035
  14. Couch, S.; Bray, A.; Ismay, C.; Chasnovski, E.; Baumer, B.; Çetinkaya-Rundel, M. (2021). infer: An R package for tidyverse-friendly statistical inference. Journal of Open Source Software. 6(65): 3661. https://doi.org/10.21105/joss.03661
  15. Dahal, S.; Franklin, D. -H.; Subedi, A.; Cabrera, M. -L.; Ney, L.; Fatzinger, B.; Mahmud, K. (2021). Interrelationships of chemical, physical and biological soil health indicators in beef-pastures of Southern Piedmont, Georgia. Sustainability. 13(9): 4844. https://doi.org/10.3390/su13094844
  16. Deltedesco, E.; Keiblinger, K. M.; Piepho, H. P.; Antonielli, L.; Pötsch, E. M.; Zechmeister-Boltenstern, S.; Gorfer, M. (2020). Soil microbial community structure and function mainly respond to indirect effects in a multifactorial climate manipulation experiment. Soil Biology and Biochemistry. 142: 107704. https://doi.org/10.1016/j.soilbio.2020.107704
  17. Faggioli, V. -S.; Cabello, M. -N.; Grilli, G.; Vasar, M.; Covacevich, F.; Öpik, M. (2019). Root colonizing and soil borne communities of arbuscular mycorrhizal fungi differ among soybean fields with contrasting historical land use. Agriculture, Ecosystems & Environment. 269: 174–182. https://doi.org/10.1016/j.agee.2018.10.002
  18. Field, A. P. (2005). Is the Meta-analysis of correlation coefficients accurate when population correlations vary? psychological methods. 10(4): 444–467. https://doi.org/10.1037/1082-989X.10.4.444
  19. Fierer, N.; Wood, S. A.; Bueno De Mesquita, C. -P. (2021). How microbes can, and cannot, be used to assess soil health. Soil Biology and Biochemistry. 153: 108111. https://doi.org/10.1016/j.soilbio.2020.108111
  20. Follmann, D. A.; Proschan, M. A. (1999). Valid inference in random effects meta‐analysis. Biometrics. 55(3): 732–737. https://doi.org/10.1111/j.0006-341X.1999.00732.x
  21. German, R. -N.; Thompson, C. -E.; Benton, T. -G. (2017). Relationships among multiple aspects of agriculture’s environmental impact and productivity: A meta‐analysis to guide sustainable agriculture. Biological Reviews. 92(2): 716–738. https://doi.org/10.1111/brv.12251
  22. Giovannini, L.; Palla, M.; Agnolucci, M.; Avio, L.; Sbrana, C.; Turrini, A.; Giovannetti, M. (2020). Arbuscular Mycorrhizal Fungi and Associated Microbiota as Plant Biostimulants: Research Strategies for the Selection of the Best Performing Inocula. Agronomy. 10(1): 106. https://doi.org/10.3390/agronomy10010106
  23. Gong, X.; Zhu, Y.; Peng, Y.; Guo, Z.; Zhou, J.; Yang, H.; Wang, Z. (2022). Insights into the deriving of rhizosphere microenvironments and its effects on the growth of authentic Angelica sinensis seedlings under continuous monoculture. Annals of Microbiology. 72(1): 34. https://doi.org/10.1186/s13213-022-01692-6
  24. Grover, M.; Bodhankar, S.; Maheswari, M.; Srinivasarao, Ch. (2016). Actinomycetes as mitigators of climate change and abiotic stress. In Subramaniam, G.; Arumugam, S.; Rajendran, V. (Eds.). Plant Growth Promoting Actinobacteria pp. 203–212. Singapore: Springer. https://doi.org/10.1007/978-981-10-0707-1_13
  25. Hammer, E. C.; Rillig, M. C. (2011). The Influence of Different Stresses on Glomalin Levels in an Arbuscular Mycorrhizal Fungus—Salinity Increases Glomalin Content. PLoS ONE. 6(12): e28426. https://doi.org/10.1371/journal.pone.0028426
  26. Heng, T.; Yang, L.; Hermansen, C.; De Jonge, L. W.; Zhang, Z.; Wu, B.; Chen, J.; Zhao, L.; Yu, J.; He, X. (2022). Linking microbial community compositions to cotton nitrogen utilization along soil salinity gradients. Field Crops Research. 288: 108697. https://doi.org/10.1016/j.fcr.2022.108697
  27. Hoeksema, J. D.; Chaudhary, V. B.; Gehring, C. A.; Johnson, N. C.; Karst, J.; Koide, R. T.; Pringle, A.; Zabinski, C.; Bever, J. D.; Moore, J. C.; Wilson, G. W.; Klironomos, J. -N.; Umbanhowar, J. (2010). A meta‐analysis of context‐dependency in plant response to inoculation with mycorrhizal fungi. Ecology Letters. 13(3): 394–407. https://doi.org/10.1111/j.1461-0248.2009.01430.x
  28. Iqbal, J.; Hu, R.; Feng, M.; Lin, S.; Malghani, S.; Ali, I. M. (2010). Microbial biomass, and dissolved organic carbon and nitrogen strongly affect soil respiration in different land uses: A case study at Three Gorges Reservoir Area, South China. Agriculture, Ecosystems & Environment. 137(3–4): 294–307. https://doi.org/10.1016/j.agee.2010.02.015
  29. Jacob, Y.; Morris, L.; Huang, K.; Schneider, M.; Rutter, S.; Verma, G.; Murrough, J.; Balchandani, P. (2020). Neural correlates of rumination in major depressive disorder: A brain network analysis. NeuroImage: Clinical. 25: 102142. https://doi.org/10.1016/j.nicl.2019.102142
  30. Jia, Q.; Sun, J.; Gan, Q.; Shi, N.N.; Fu, S. (2024). Zea mays cultivation, biochar, and arbuscular mycorrhizal fungal inoculation influenced lead immobilization. Microbiology Spectrum. 12(4): e03427-23. https://doi.org/10.1128/spectrum.03427-23
  31. Jin, W.; Ge, J.; Shao, S.; Peng, L.; Xing, J.; Liang, C.; Chen, J.; Xu, Q.; Qin, H. (2024). Intensive management enhances mycorrhizal respiration but decreases free-living microbial respiration by affecting microbial abundance and community structure in Moso bamboo forest soils. Pedosphere. 34(2): 508–519. https://doi.org/10.1016/j.pedsph.2022.10.002
  32. Junior, L.; Mullokandov, A.; Kenett, D. (2015). Dependency Relations among International Stock Market Indices. Journal of Risk and Financial Management. 8(2): 227–265. https://doi.org/10.3390/jrfm8020227
  33. Kakouridis, A.; Yuan, M.; Nuccio, E. -E.; Hagen, J. A.; Fossum, C. A.; Moore, M. -L.; Estera‐Molina, K. -Y.; Nico, P. -S.; Weber, P. -K.; Pett‐Ridge, J.; Firestone, M. -K. (2024). Arbuscular mycorrhiza convey significant plant carbon to a diverse hyphosphere microbial food web and mineral‐associated organic matter. New Phytologist. 242(4): 1661–1675. https://doi.org/10.1111/nph.19560
  34. Kojaku, S.; Masuda, N. (2019). Constructing networks by filtering correlation matrices: A null model approach. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences. 475(2231): 20190578. https://doi.org/10.1098/rspa.2019.0578
  35. Kontopantelis, E.; Reeves, D. (2010). Metaan: Random-effects Meta-analysis. The Stata Journal: Promoting Communications on Statistics and Stata. 10(3): 395–407. https://doi.org/10.1177/1536867X1001000307
  36. Krishnamoorthy, R.; Kim, K.; Kim, C.; Sa, T. (2014). Changes of arbuscular mycorrhizal traits and community structure with respect to soil salinity in a coastal reclamation land. Soil Biology and Biochemistry. 72: 1–10. https://doi.org/10.1016/j.soilbio.2014.01.017
  37. Kumar, A.; Singh, S.; Mukherjee, A.; Rastogi, R. -P.; Verma, J. P. (2021). Salt-tolerant plant growth-promoting Bacillus pumilus strain JPVS11 to enhance plant growth attributes of rice and improve soil health under salinity stress. Microbiological Research. 242: 126616. https://doi.org/10.1016/j.micres.2020.126616
  38. Kumar, S.; Singh, A.; Ghosh, P. (2018). Distribution of soil organic carbon and glomalin related soil protein in reclaimed coal mine-land chronosequence under tropical condition. Science of The Total Environment. 625: 1341–1350. https://doi.org/10.1016/j.scitotenv.2018.01.061
  39. Liu, R.; Zou, Y.; Kuča, K.; Hashem, A.; Abd Allah, E.; Wu, Q. (2021). Exogenous Glomalin-Related Soil Proteins Differentially Regulate Soil Properties in Trifoliate Orange. Agronomy. 11(10): 1896. https://doi.org/10.3390/agronomy11101896
  40. Lutz, S.; Bodenhausen, N.; Hess, J.; Valzano-Held, A.; Waelchli, J.; Deslandes-Hérold, G.; Schlaeppi, K.; Van Der Heijden, M. (2023). Soil microbiome indicators can predict crop growth response to large-scale inoculation with arbuscular mycorrhizal fungi. Nature Microbiology. 8(12): 2277–2289. https://doi.org/10.1038/s41564-023-01520-w
  41. Lv, Y.; Liu, J.; Fan, Z.; Zhouying Xu; Ban, Y. (2023). The function and community structure of arbuscular mycorrhizal fungi in ecological floating beds used for remediation of Pb contaminated wastewater. Science of The Total Environment. 872: 162233. https://doi.org/10.1016/j.scitotenv.2023.162233
  42. Ma, Y.; Zhang, H.; Wang, D.; Guo, X.; Yang, T.; Xiang, X.; Walder, F.; Chu, H. (2021). Differential responses of arbuscular mycorrhizal fungal communities to long-term fertilization in the wheat rhizosphere and root endosphere. Applied and Environmental Microbiology. 87(17): e00349-21. https://doi.org/10.1128/AEM.00349-21
  43. Meglouli, H.; Lounès-Hadj Sahraoui, A.; Magnin-Robert, M.; Tisserant, B.; Hijri, M.; Fontaine, J. (2018). Arbuscular mycorrhizal inoculum sources influence bacterial, archaeal, and fungal communities’ structures of historically dioxin/furan-contaminated soil but not the pollutant dissipation rate. Mycorrhiza. 28(7): 635–650. https://doi.org/10.1007/s00572-018-0852-x
  44. Miranda, J. G.; Couto, E. G.; Weber, O. L.; Torres, G. N.; Moura, J. M.; Tanaka, R. T.; Soares, M. A. (2025). Glomalin-related soil proteins as indicator of soil quality in pig-fertigated and rainfed systems. Agronomy. 15(6): 1332. https://doi.org/10.3390/agronomy15061332
  45. Muhammad, I.; Wang, J.; Sainju, U. -M.; Zhang, S.; Zhao, F.; Khan, A. (2021). Cover cropping enhances soil microbial biomass and affects microbial community structure: A meta-analysis. Geoderma. 381: 114696. https://doi.org/10.1016/j.geoderma.2020.114696
  46. Nautiyal, P.; Rajput, R.; Pandey, D.; Arunachalam, K.; Arunachalam, A. (2019). Role of glomalin in soil carbon storage and its variation across land uses in temperate Himalayan regime. Biocatalysis and Agricultural Biotechnology. 21: 101311. https://doi.org/10.1016/j.bcab.2019.101311
  47. Nunes, M. -R.; Karlen, D. -L.; Veum, K. -S.; Moorman, T. -B.; Cambardella, C. -A. (2020). Biological soil health indicators respond to tillage intensity: A US meta-analysis. Geoderma. 369: 114335. https://doi.org/10.1016/j.geoderma.2020.114335
  48. Pathak, M.; Dwivedi, S. N.; Thakur, B. (2020). Comparative role of various methods of estimating between study variance for meta-analysis using random effect method. Clinical Epidemiology and Global Health. 8(1): 185–189. https://doi.org/10.1016/j.cegh.2019.06.011
  49. Pulido, M.; Petersen, S.; Clough, T.; Munkholm, L.; Squartini, A.; Longo, M.; Dal Ferro, N.; Morari, F. (2024). Soil pore network effects on the fate of nitrous oxide as influenced by soil compaction, depth and water potential. Soil Biology and Biochemistry. 197: 109536. https://doi.org/10.1016/j.soilbio.2024.109536
  50. Raiesi, F.; Kabiri, V. (2016). Identification of soil quality indicators for assessing the effect of different tillage practices through a soil quality index in a semi-arid environment. Ecological Indicators. 71: 198–207. https://doi.org/10.1016/j.ecolind.2016.06.061
  51. Rigdon, J.; Hudgens, M. G. (2015). Randomization inference for treatment effects on a binary outcome. Statistics in medicine. 34(6): 924–935. https://doi.org/10.1002/sim.6384
  52. Šarapatka, B.; Alvarado-Solano, D. P.; Čižmár, D. (2019). Can glomalin content be used as an indicator for erosion damage to soil and related changes in organic matter characteristics and nutrients? CATENA. 181: 104078. https://doi.org/10.1016/j.catena.2019.104078
  53. Sepp, S.K.; Jairus, T.; Vasar, M.; Zobel, M.; Öpik, M. (2018). Effects of land use on arbuscular mycorrhizal fungal communities in Estonia. Mycorrhiza. 28(3): 259–268. https://doi.org/10.1007/s00572-018-0822-3
  54. Singh, D.; Garg, R. (2020). Comparative analysis of sequential community detection algorithms based on internal and external quality measure. Journal of Statistics and Management Systems. 23(7): 1129–1146. https://doi.org/10.1080/09720510.2020.1800189
  55. Smith, L. C.; Orgiazzi, A.; Eisenhauer, N.; Cesarz, S.; Lochner, A.; Jones, A.; Bastida, F.; Patoine, G.; Reitz, T.; Buscot, F.; Rillig, M. -C.; Heintz‐Buschart, A.; Lehmann, A.; Guerra, C. -A. (2021). Large‐scale drivers of relationships between soil microbial properties and organic carbon across Europe. Global Ecology and Biogeography. 30(10): 2070–2083. https://doi.org/10.1111/geb.13371
  56. Soucémarianadin, L. N.; Cécillon, L.; Guenet, B.; Chenu, C.; Baudin, F.; Nicolas, M.; Girardin, C.; Barré, P. (2018). Environmental factors controlling soil organic carbon stability in French forest soils. Plant and Soil. 426(1–2): 267–286. https://doi.org/10.1007/s11104-018-3613-x
  57. Stevens, B. M.; Propster, J. R.; Öpik, M.; Wilson, G. W.; Alloway, S. L.; Mayemba, E.; Johnson, N. C. (2020). Arbuscular mycorrhizal fungi in roots and soil respond differently to biotic and abiotic factors in the Serengeti. Mycorrhiza. 30(1): 79–95. https://doi.org/10.1007/s00572-020-00931-5
  58. Sun, X.; Sun, M.; Chao, Y.; Shang, X.; Wang, H.; Pan, H.; Yang, Q.; Lou, Y.; Zhuge, Y. (2023). Effects of lead pollution on soil microbial community diversity and biomass and on invertase activity. Soil Ecology Letters. 5(1): 118–127. https://doi.org/10.1007/s42832-022-0134-6
  59. Van Der Heyde, M.; Ohsowski, B.; Abbott, L. K.; Hart, M. (2017). Arbuscular mycorrhizal fungus responses to disturbance are context-dependent. Mycorrhiza. 27(5): 431–440. https://doi.org/10.1007/s00572-016-0759-3
  60. Van Galen, L. -G.; Stewart, J. -D.; Qin, C.; Corrales, A.; Manley, B. -F.; Kiers, E. -T.; Crowther, T. -W.; Van Nuland, M. -E. (2025). Global divergence in plant and mycorrhizal fungal diversity hotspots. Nature Communications. 16(1): 6702. https://doi.org/10.1038/s41467-025-60106-8
  61. Wang, C.; Liu, D.; Bai, E. (2018). Decreasing soil microbial diversity is associated with decreasing microbial biomass under nitrogen addition. Soil Biology and Biochemistry. 120: 126–133. https://doi.org/10.1016/j.soilbio.2018.02.003
  62. Wang, G.; Xie, C.; Stanley, H. (2018). Correlation Structure and Evolution of World Stock Markets: Evidence from Pearson and Partial Correlation-Based Networks. Computational Economics. 51(3), 607–635. https://doi.org/10.1007/s10614-016-9627-7
  63. Wang, Q.; Lu, H.; Chen, J.; Jiang, Y.; Williams, M. A.; Wu, S.; Li, J.; Liu, J.; Yang, G.; Yan, C. (2020). Interactions of soil metals with glomalin-related soil protein as soil pollution bioindicators in mangrove wetland ecosystems. Science of The Total Environment. 709: 136051. https://doi.org/10.1016/j.scitotenv.2019.136051
  64. Wang, Q.; Wang, W.; He, X.; Zhang, W.; Song, K.; Han, S. (2015). Role and variation of the amount and composition of glomalin in soil properties in farmland and adjacent plantations with reference to a primary forest in North-Eastern China. PLOS ONE. 10(10): e0139623. https://doi.org/10.1371/journal.pone.0139623
  65. Wang, Q.; Wang, W.; He, X.; Zhou, W.; Zhai, C.; Wang, P.; Tang, Z.; Wei, C.; Zhang, B.; Xiao, L.; Wang, H. (2019). Urbanization-induced glomalin changes and their associations with land-use configuration, forest characteristics, and soil properties in Changchun, Northeast China. Journal of Soils and Sediments. 19(5): 2433–2444. https://doi.org/10.1007/s11368-019-02266-x
  66. Wang, W.; Feng, Y.; Wu, R.; Wang, X.; He, X.; Zhang, M.; Li, K.; Jin, G.; Song, F. (2023). Long-term N addition reduced the diversity of arbuscular mycorrhizal fungi and understory herbs of a Korean pine plantation in northern China. Frontiers in Ecology and Evolution. 11: 1192267. https://doi.org/10.3389/fevo.2023.1192267
  67. Welz, T.; Doebler, P.; Pauly, M. (2022). Fisher transformation based confidence intervals of correlations in fixed‐ and random‐effects meta‐analysis. British Journal of Mathematical and Statistical Psychology. 75(1): 1–22. https://doi.org/10.1111/bmsp.12242
  68. Wilkes, T. -I.; Warner, D. -J.; Edmonds-Brown, V.; Davies, K. -G.; Denholm, I. (2021). Zero Tillage Systems Conserve Arbuscular Mycorrhizal Fungi, Enhancing Soil Glomalin and Water Stable Aggregates with Implications for Soil Stability. Soil Systems. 5(1), 4. https://doi.org/10.3390/soilsystems5010004
  69. Wu, F.; Zhao, W.; Ji, Q.; Zhang, D. (2020). Dependency, centrality and dynamic networks for international commodity futures prices. International Review of Economics & Finance. 67. 118–132. https://doi.org/10.1016/j.iref.2020.01.004
  70. Xiao, L.; Zhang, Y.; Li, P.; Xu, G.; Shi, P.; Zhang, Y. (2019). Effects of freeze-thaw cycles on aggregate-associated organic carbon and glomalin-related soil protein in natural-succession grassland and Chinese pine forest on the Loess Plateau. Geoderma. 334: 1–8. https://doi.org/10.1016/j.geoderma.2018.07.043
  71. Yang, W.; Li, S.; Wang, X.; Liu, F.; Li, X.; Zhu, X. (2021). Soil properties and geography shape arbuscular mycorrhizal fungal communities in black land of China. Applied Soil Ecology. 167: 104109. https://doi.org/10.1016/j.apsoil.2021.104109
  72. Yang, Y.; Dou, Y.; An, S. (2018). Testing association between soil bacterial diversity and soil carbon storage on the Loess Plateau. Science of The Total Environment. 626: 48–58. https://doi.org/10.1016/j.scitotenv.2018.01.081
  73. Yang, Y.; Luo, W.; Xu, J.; Guan, P.; Chang, L.; Wu, X.; Wu, D. (2022). Fallow land enhances carbon sequestration in glomalin and soil aggregates through regulating diversity and network complexity of arbuscular mycorrhizal fungi under climate change in relatively high-latitude regions. Frontiers in Microbiology. 13: 930622. https://doi.org/10.3389/fmicb.2022.930622
  74. Yoshida, L.; Allen, E. (2001). Response to ammonium and nitrate by a mycorrhizal annual invasive grass and native shrub in southern California. American Journal of Botany. 88(8): 1430–1436. https://doi.org/10.2307/3558450
  75. Zhang, H.; Zhou, M.X.; Zai, X.; Zhao, F.; Qin, P. (2020). Spatio-temporal dynamics of arbuscular mycorrhizal fungi and soil organic carbon in coastal saline soil of China. Scientific Reports. 10(1): 9781. https://doi.org/10.1038/s41598-020-66976-w
  76. Zhang, Z.; Wang, Q.; Wang, H.; Nie, S.; Liang, Z. (2017). Effects of soil salinity on the content, composition, and ion binding capacity of glomalin-related soil protein (GRSP). Science of The Total Environment. 581–582: 657–665. https://doi.org/10.1016/j.scitotenv.2016.12.176
  77. Zhang, Z.; Zhou, Z.; Feng, S.; Guo, P.; Wang, Y.; Hao, B.; Guo, W.; Li, F. Y. (2024). Synergistic effects of AMF and PGPR on improving saline-alkaline tolerance of Leymus chinensis by strengthening the link between rhizosphere metabolites and microbiomes. Environmental Technology & Innovation. 36: 103900. https://doi.org/10.1016/j.eti.2024.103900
  78. Zhao, L.; Zhang, K.; Sun, X.; He, X. (2022). Dynamics of arbuscular mycorrhizal fungi and glomalin in the rhizosphere of Gymnocarpos przewalskii in Northwest Desert, China. Applied Soil Ecology. 170: 104251. https://doi.org/10.1016/j.apsoil.2021.104251
  79. Zhu, R.; Zheng, Z.; Li, T.; He, S.; Zhang, X.; Wang, Y.; Liu, T. (2019). Effect of tea plantation age on the distribution of glomalin-related soil protein in soil water-stable aggregates in southwestern China. Environmental Science and Pollution Research. 26(2): 1973–1982. https://doi.org/10.1007/s11356-018-3782-4
  80. Adenan, S.; Oja, J.; Alatalo, J. M.; Shraim, A. -M.; Alsafran, M.; Tedersoo, L.; Zobel, M.; Ahmed, T. (2021). Diversity of arbuscular mycorrhizal fungi and its chemical drivers across dryland habitats. Mycorrhiza. 31(6). 685–697. https://doi.org/10.1007/s00572-021-01052-3
  81. Albornoz, F. E.; Ryan, M. H.; Bending, G. D.; Hilton, S.; Dickie, I. A.; Gleeson, D. B.; Standish, R. J. (2022). Agricultural land‐use favours Mucoromycotinian, but not Glomeromycotinian, arbuscular mycorrhizal fungi across ten biomes. New Phytologist. 233(3): 1369–1382. https://doi.org/10.1111/nph.17780
  82. Ao, D.; Wang, B.; Wang, Y.; Chen, Y.; Liang, C.; An, S. (2025). Arbuscular mycorrhizal fungi communities and glomalin mediate particulate and mineral-associated organic carbon formation in grassland patches. Communications Earth & Environment. 6(1): 553. https://doi.org/10.1038/s43247-025-02492-x
  83. Bai, X.; Dippold, M. A.; An, S.; Wang, B.; Zhang, H.; Loeppmann, S. (2021). Extracellular enzyme activity and stoichiometry: The effect of soil microbial element limitation during leaf litter decomposition. Ecological Indicators. 121: 107200. https://doi.org/10.1016/j.ecolind.2020.107200
  84. Batushansky, A.; Toubiana, D.; Fait, A. (2016). Correlation-Based Network Generation, Visualization, and Analysis as a Powerful Tool in Biological Studies: A Case Study in Cancer Cell Metabolism. BioMed Research International. 2016: 1–9. https://doi.org/10.1155/2016/8313272
  85. Bi, Y.; Xiao, L.; Liu, R. (2019). Response of arbuscular mycorrhizal fungi and phosphorus solubilizing bacteria to remediation abandoned solid waste of coal mine. International Journal of Coal Science & Technology. 6(4): 603–610. https://doi.org/10.1007/s40789-019-00270-7
  86. Bonfim, J.; Vasconcellos, R.; Stürmer, S.; Cardoso, E. (2013). Arbuscular mycorrhizal fungi in the Brazilian Atlantic forest: A gradient of environmental restoration. Applied Soil Ecology. 71: 7–14. https://doi.org/10.1016/j.apsoil.2013.04.005
  87. Buyer, J.; Zuberer, D.; Nichols, K.; Franzluebbers, A. (2011). Soil microbial community function, structure, and glomalin in response to tall fescue endophyte infection. Plant and Soil. 339(1–2): 401–412. https://doi.org/10.1007/s11104-010-0592-y
  88. Cai, C.; Huang, F.; Yang, Y.; Yu, S.; Wang, S.; Fan, Y.; Wang, Q.; Liu, W. (2023). Effects of glomalin-related soil protein driven by root on forest soil aggregate stability and carbon sequestration during urbanization in Nanchang, China. Plants. 12(9): 1847. https://doi.org/10.3390/plants12091847
  89. Camenzind, T.; Homeier, J.; Dietrich, K.; Hempel, S.; Hertel, D.; Krohn, A.; Leuschner, C.; Oelmann, Y.; Olsson, P. -A.; Suárez, J. -P.; Rillig, M. -C. (2016). Opposing effects of nitrogen versus phosphorus additions on mycorrhizal fungal abundance along an elevational gradient in tropical montane forests. Soil Biology and Biochemistry. 94: 37–47. https://doi.org/10.1016/j.soilbio.2015.11.011
  90. Cao, J.; Feng, Y.; Lin, X.; Wang, J. (2020). A beneficial role of arbuscular mycorrhizal fungi in influencing the effects of silver nanoparticles on plant-microbe systems in a soil matrix. Environmental Science and Pollution Research. 27(11): 11782–11796. https://doi.org/10.1007/s11356-020-07781-w
  91. Chen, M.; Arato, M.; Borghi, L.; Nouri, E.; Reinhardt, D. (2018). Beneficial Services of Arbuscular Mycorrhizal Fungi – From Ecology to Application. Frontiers in Plant Science. 9: 1270. https://doi.org/10.3389/fpls.2018.01270
  92. Chen, X.; Su, M.; Wu, S.; He, L.; Zhang, B.; Zhang, Y.; Huang, X.; Liu, J.; Yan, C.; Liu, W.; Lu, H. (2023). Change in glomalin-related soil protein along latitudinal gradient encompassing subtropical and temperate blue carbon zones. Science of The Total Environment. 895: 165035. https://doi.org/10.1016/j.scitotenv.2023.165035
  93. Couch, S.; Bray, A.; Ismay, C.; Chasnovski, E.; Baumer, B.; Çetinkaya-Rundel, M. (2021). infer: An R package for tidyverse-friendly statistical inference. Journal of Open Source Software. 6(65): 3661. https://doi.org/10.21105/joss.03661
  94. Dahal, S.; Franklin, D. -H.; Subedi, A.; Cabrera, M. -L.; Ney, L.; Fatzinger, B.; Mahmud, K. (2021). Interrelationships of chemical, physical and biological soil health indicators in beef-pastures of Southern Piedmont, Georgia. Sustainability. 13(9): 4844. https://doi.org/10.3390/su13094844
  95. Deltedesco, E.; Keiblinger, K. M.; Piepho, H. P.; Antonielli, L.; Pötsch, E. M.; Zechmeister-Boltenstern, S.; Gorfer, M. (2020). Soil microbial community structure and function mainly respond to indirect effects in a multifactorial climate manipulation experiment. Soil Biology and Biochemistry. 142: 107704. https://doi.org/10.1016/j.soilbio.2020.107704
  96. Faggioli, V. -S.; Cabello, M. -N.; Grilli, G.; Vasar, M.; Covacevich, F.; Öpik, M. (2019). Root colonizing and soil borne communities of arbuscular mycorrhizal fungi differ among soybean fields with contrasting historical land use. Agriculture, Ecosystems & Environment. 269: 174–182. https://doi.org/10.1016/j.agee.2018.10.002
  97. Field, A. P. (2005). Is the Meta-analysis of correlation coefficients accurate when population correlations vary? psychological methods. 10(4): 444–467. https://doi.org/10.1037/1082-989X.10.4.444
  98. Fierer, N.; Wood, S. A.; Bueno De Mesquita, C. -P. (2021). How microbes can, and cannot, be used to assess soil health. Soil Biology and Biochemistry. 153: 108111. https://doi.org/10.1016/j.soilbio.2020.108111
  99. Follmann, D. A.; Proschan, M. A. (1999). Valid inference in random effects meta‐analysis. Biometrics. 55(3): 732–737. https://doi.org/10.1111/j.0006-341X.1999.00732.x
  100. German, R. -N.; Thompson, C. -E.; Benton, T. -G. (2017). Relationships among multiple aspects of agriculture’s environmental impact and productivity: A meta‐analysis to guide sustainable agriculture. Biological Reviews. 92(2): 716–738. https://doi.org/10.1111/brv.12251
  101. Giovannini, L.; Palla, M.; Agnolucci, M.; Avio, L.; Sbrana, C.; Turrini, A.; Giovannetti, M. (2020). Arbuscular Mycorrhizal Fungi and Associated Microbiota as Plant Biostimulants: Research Strategies for the Selection of the Best Performing Inocula. Agronomy. 10(1): 106. https://doi.org/10.3390/agronomy10010106
  102. Gong, X.; Zhu, Y.; Peng, Y.; Guo, Z.; Zhou, J.; Yang, H.; Wang, Z. (2022). Insights into the deriving of rhizosphere microenvironments and its effects on the growth of authentic Angelica sinensis seedlings under continuous monoculture. Annals of Microbiology. 72(1): 34. https://doi.org/10.1186/s13213-022-01692-6
  103. Grover, M.; Bodhankar, S.; Maheswari, M.; Srinivasarao, Ch. (2016). Actinomycetes as mitigators of climate change and abiotic stress. In Subramaniam, G.; Arumugam, S.; Rajendran, V. (Eds.). Plant Growth Promoting Actinobacteria pp. 203–212. Singapore: Springer. https://doi.org/10.1007/978-981-10-0707-1_13
  104. Hammer, E. C.; Rillig, M. C. (2011). The Influence of Different Stresses on Glomalin Levels in an Arbuscular Mycorrhizal Fungus—Salinity Increases Glomalin Content. PLoS ONE. 6(12): e28426. https://doi.org/10.1371/journal.pone.0028426
  105. Heng, T.; Yang, L.; Hermansen, C.; De Jonge, L. W.; Zhang, Z.; Wu, B.; Chen, J.; Zhao, L.; Yu, J.; He, X. (2022). Linking microbial community compositions to cotton nitrogen utilization along soil salinity gradients. Field Crops Research. 288: 108697. https://doi.org/10.1016/j.fcr.2022.108697
  106. Hoeksema, J. D.; Chaudhary, V. B.; Gehring, C. A.; Johnson, N. C.; Karst, J.; Koide, R. T.; Pringle, A.; Zabinski, C.; Bever, J. D.; Moore, J. C.; Wilson, G. W.; Klironomos, J. -N.; Umbanhowar, J. (2010). A meta‐analysis of context‐dependency in plant response to inoculation with mycorrhizal fungi. Ecology Letters. 13(3): 394–407. https://doi.org/10.1111/j.1461-0248.2009.01430.x
  107. Iqbal, J.; Hu, R.; Feng, M.; Lin, S.; Malghani, S.; Ali, I. M. (2010). Microbial biomass, and dissolved organic carbon and nitrogen strongly affect soil respiration in different land uses: A case study at Three Gorges Reservoir Area, South China. Agriculture, Ecosystems & Environment. 137(3–4): 294–307. https://doi.org/10.1016/j.agee.2010.02.015
  108. Jacob, Y.; Morris, L.; Huang, K.; Schneider, M.; Rutter, S.; Verma, G.; Murrough, J.; Balchandani, P. (2020). Neural correlates of rumination in major depressive disorder: A brain network analysis. NeuroImage: Clinical. 25: 102142. https://doi.org/10.1016/j.nicl.2019.102142
  109. Jia, Q.; Sun, J.; Gan, Q.; Shi, N.N.; Fu, S. (2024). Zea mays cultivation, biochar, and arbuscular mycorrhizal fungal inoculation influenced lead immobilization. Microbiology Spectrum. 12(4): e03427-23. https://doi.org/10.1128/spectrum.03427-23
  110. Jin, W.; Ge, J.; Shao, S.; Peng, L.; Xing, J.; Liang, C.; Chen, J.; Xu, Q.; Qin, H. (2024). Intensive management enhances mycorrhizal respiration but decreases free-living microbial respiration by affecting microbial abundance and community structure in Moso bamboo forest soils. Pedosphere. 34(2): 508–519. https://doi.org/10.1016/j.pedsph.2022.10.002
  111. Junior, L.; Mullokandov, A.; Kenett, D. (2015). Dependency Relations among International Stock Market Indices. Journal of Risk and Financial Management. 8(2): 227–265. https://doi.org/10.3390/jrfm8020227
  112. Kakouridis, A.; Yuan, M.; Nuccio, E. -E.; Hagen, J. A.; Fossum, C. A.; Moore, M. -L.; Estera‐Molina, K. -Y.; Nico, P. -S.; Weber, P. -K.; Pett‐Ridge, J.; Firestone, M. -K. (2024). Arbuscular mycorrhiza convey significant plant carbon to a diverse hyphosphere microbial food web and mineral‐associated organic matter. New Phytologist. 242(4): 1661–1675. https://doi.org/10.1111/nph.19560
  113. Kojaku, S.; Masuda, N. (2019). Constructing networks by filtering correlation matrices: A null model approach. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences. 475(2231): 20190578. https://doi.org/10.1098/rspa.2019.0578
  114. Kontopantelis, E.; Reeves, D. (2010). Metaan: Random-effects Meta-analysis. The Stata Journal: Promoting Communications on Statistics and Stata. 10(3): 395–407. https://doi.org/10.1177/1536867X1001000307
  115. Krishnamoorthy, R.; Kim, K.; Kim, C.; Sa, T. (2014). Changes of arbuscular mycorrhizal traits and community structure with respect to soil salinity in a coastal reclamation land. Soil Biology and Biochemistry. 72: 1–10. https://doi.org/10.1016/j.soilbio.2014.01.017
  116. Kumar, A.; Singh, S.; Mukherjee, A.; Rastogi, R. -P.; Verma, J. P. (2021). Salt-tolerant plant growth-promoting Bacillus pumilus strain JPVS11 to enhance plant growth attributes of rice and improve soil health under salinity stress. Microbiological Research. 242: 126616. https://doi.org/10.1016/j.micres.2020.126616
  117. Kumar, S.; Singh, A.; Ghosh, P. (2018). Distribution of soil organic carbon and glomalin related soil protein in reclaimed coal mine-land chronosequence under tropical condition. Science of The Total Environment. 625: 1341–1350. https://doi.org/10.1016/j.scitotenv.2018.01.061
  118. Liu, R.; Zou, Y.; Kuča, K.; Hashem, A.; Abd Allah, E.; Wu, Q. (2021). Exogenous Glomalin-Related Soil Proteins Differentially Regulate Soil Properties in Trifoliate Orange. Agronomy. 11(10): 1896. https://doi.org/10.3390/agronomy11101896
  119. Lutz, S.; Bodenhausen, N.; Hess, J.; Valzano-Held, A.; Waelchli, J.; Deslandes-Hérold, G.; Schlaeppi, K.; Van Der Heijden, M. (2023). Soil microbiome indicators can predict crop growth response to large-scale inoculation with arbuscular mycorrhizal fungi. Nature Microbiology. 8(12): 2277–2289. https://doi.org/10.1038/s41564-023-01520-w
  120. Lv, Y.; Liu, J.; Fan, Z.; Zhouying Xu; Ban, Y. (2023). The function and community structure of arbuscular mycorrhizal fungi in ecological floating beds used for remediation of Pb contaminated wastewater. Science of The Total Environment. 872: 162233. https://doi.org/10.1016/j.scitotenv.2023.162233
  121. Ma, Y.; Zhang, H.; Wang, D.; Guo, X.; Yang, T.; Xiang, X.; Walder, F.; Chu, H. (2021). Differential responses of arbuscular mycorrhizal fungal communities to long-term fertilization in the wheat rhizosphere and root endosphere. Applied and Environmental Microbiology. 87(17): e00349-21. https://doi.org/10.1128/AEM.00349-21
  122. Meglouli, H.; Lounès-Hadj Sahraoui, A.; Magnin-Robert, M.; Tisserant, B.; Hijri, M.; Fontaine, J. (2018). Arbuscular mycorrhizal inoculum sources influence bacterial, archaeal, and fungal communities’ structures of historically dioxin/furan-contaminated soil but not the pollutant dissipation rate. Mycorrhiza. 28(7): 635–650. https://doi.org/10.1007/s00572-018-0852-x
  123. Miranda, J. G.; Couto, E. G.; Weber, O. L.; Torres, G. N.; Moura, J. M.; Tanaka, R. T.; Soares, M. A. (2025). Glomalin-related soil proteins as indicator of soil quality in pig-fertigated and rainfed systems. Agronomy. 15(6): 1332. https://doi.org/10.3390/agronomy15061332
  124. Muhammad, I.; Wang, J.; Sainju, U. -M.; Zhang, S.; Zhao, F.; Khan, A. (2021). Cover cropping enhances soil microbial biomass and affects microbial community structure: A meta-analysis. Geoderma. 381: 114696. https://doi.org/10.1016/j.geoderma.2020.114696
  125. Nautiyal, P.; Rajput, R.; Pandey, D.; Arunachalam, K.; Arunachalam, A. (2019). Role of glomalin in soil carbon storage and its variation across land uses in temperate Himalayan regime. Biocatalysis and Agricultural Biotechnology. 21: 101311. https://doi.org/10.1016/j.bcab.2019.101311
  126. Nunes, M. -R.; Karlen, D. -L.; Veum, K. -S.; Moorman, T. -B.; Cambardella, C. -A. (2020). Biological soil health indicators respond to tillage intensity: A US meta-analysis. Geoderma. 369: 114335. https://doi.org/10.1016/j.geoderma.2020.114335
  127. Pathak, M.; Dwivedi, S. N.; Thakur, B. (2020). Comparative role of various methods of estimating between study variance for meta-analysis using random effect method. Clinical Epidemiology and Global Health. 8(1): 185–189. https://doi.org/10.1016/j.cegh.2019.06.011
  128. Pulido, M.; Petersen, S.; Clough, T.; Munkholm, L.; Squartini, A.; Longo, M.; Dal Ferro, N.; Morari, F. (2024). Soil pore network effects on the fate of nitrous oxide as influenced by soil compaction, depth and water potential. Soil Biology and Biochemistry. 197: 109536. https://doi.org/10.1016/j.soilbio.2024.109536
  129. Raiesi, F.; Kabiri, V. (2016). Identification of soil quality indicators for assessing the effect of different tillage practices through a soil quality index in a semi-arid environment. Ecological Indicators. 71: 198–207. https://doi.org/10.1016/j.ecolind.2016.06.061
  130. Rigdon, J.; Hudgens, M. G. (2015). Randomization inference for treatment effects on a binary outcome. Statistics in medicine. 34(6): 924–935. https://doi.org/10.1002/sim.6384
  131. Šarapatka, B.; Alvarado-Solano, D. P.; Čižmár, D. (2019). Can glomalin content be used as an indicator for erosion damage to soil and related changes in organic matter characteristics and nutrients? CATENA. 181: 104078. https://doi.org/10.1016/j.catena.2019.104078
  132. Sepp, S.K.; Jairus, T.; Vasar, M.; Zobel, M.; Öpik, M. (2018). Effects of land use on arbuscular mycorrhizal fungal communities in Estonia. Mycorrhiza. 28(3): 259–268. https://doi.org/10.1007/s00572-018-0822-3
  133. Singh, D.; Garg, R. (2020). Comparative analysis of sequential community detection algorithms based on internal and external quality measure. Journal of Statistics and Management Systems. 23(7): 1129–1146. https://doi.org/10.1080/09720510.2020.1800189
  134. Smith, L. C.; Orgiazzi, A.; Eisenhauer, N.; Cesarz, S.; Lochner, A.; Jones, A.; Bastida, F.; Patoine, G.; Reitz, T.; Buscot, F.; Rillig, M. -C.; Heintz‐Buschart, A.; Lehmann, A.; Guerra, C. -A. (2021). Large‐scale drivers of relationships between soil microbial properties and organic carbon across Europe. Global Ecology and Biogeography. 30(10): 2070–2083. https://doi.org/10.1111/geb.13371
  135. Soucémarianadin, L. N.; Cécillon, L.; Guenet, B.; Chenu, C.; Baudin, F.; Nicolas, M.; Girardin, C.; Barré, P. (2018). Environmental factors controlling soil organic carbon stability in French forest soils. Plant and Soil. 426(1–2): 267–286. https://doi.org/10.1007/s11104-018-3613-x
  136. Stevens, B. M.; Propster, J. R.; Öpik, M.; Wilson, G. W.; Alloway, S. L.; Mayemba, E.; Johnson, N. C. (2020). Arbuscular mycorrhizal fungi in roots and soil respond differently to biotic and abiotic factors in the Serengeti. Mycorrhiza. 30(1): 79–95. https://doi.org/10.1007/s00572-020-00931-5
  137. Sun, X.; Sun, M.; Chao, Y.; Shang, X.; Wang, H.; Pan, H.; Yang, Q.; Lou, Y.; Zhuge, Y. (2023). Effects of lead pollution on soil microbial community diversity and biomass and on invertase activity. Soil Ecology Letters. 5(1): 118–127. https://doi.org/10.1007/s42832-022-0134-6
  138. Van Der Heyde, M.; Ohsowski, B.; Abbott, L. K.; Hart, M. (2017). Arbuscular mycorrhizal fungus responses to disturbance are context-dependent. Mycorrhiza. 27(5): 431–440. https://doi.org/10.1007/s00572-016-0759-3
  139. Van Galen, L. -G.; Stewart, J. -D.; Qin, C.; Corrales, A.; Manley, B. -F.; Kiers, E. -T.; Crowther, T. -W.; Van Nuland, M. -E. (2025). Global divergence in plant and mycorrhizal fungal diversity hotspots. Nature Communications. 16(1): 6702. https://doi.org/10.1038/s41467-025-60106-8
  140. Wang, C.; Liu, D.; Bai, E. (2018). Decreasing soil microbial diversity is associated with decreasing microbial biomass under nitrogen addition. Soil Biology and Biochemistry. 120: 126–133. https://doi.org/10.1016/j.soilbio.2018.02.003
  141. Wang, G.; Xie, C.; Stanley, H. (2018). Correlation Structure and Evolution of World Stock Markets: Evidence from Pearson and Partial Correlation-Based Networks. Computational Economics. 51(3), 607–635. https://doi.org/10.1007/s10614-016-9627-7
  142. Wang, Q.; Lu, H.; Chen, J.; Jiang, Y.; Williams, M. A.; Wu, S.; Li, J.; Liu, J.; Yang, G.; Yan, C. (2020). Interactions of soil metals with glomalin-related soil protein as soil pollution bioindicators in mangrove wetland ecosystems. Science of The Total Environment. 709: 136051. https://doi.org/10.1016/j.scitotenv.2019.136051
  143. Wang, Q.; Wang, W.; He, X.; Zhang, W.; Song, K.; Han, S. (2015). Role and variation of the amount and composition of glomalin in soil properties in farmland and adjacent plantations with reference to a primary forest in North-Eastern China. PLOS ONE. 10(10): e0139623. https://doi.org/10.1371/journal.pone.0139623
  144. Wang, Q.; Wang, W.; He, X.; Zhou, W.; Zhai, C.; Wang, P.; Tang, Z.; Wei, C.; Zhang, B.; Xiao, L.; Wang, H. (2019). Urbanization-induced glomalin changes and their associations with land-use configuration, forest characteristics, and soil properties in Changchun, Northeast China. Journal of Soils and Sediments. 19(5): 2433–2444. https://doi.org/10.1007/s11368-019-02266-x
  145. Wang, W.; Feng, Y.; Wu, R.; Wang, X.; He, X.; Zhang, M.; Li, K.; Jin, G.; Song, F. (2023). Long-term N addition reduced the diversity of arbuscular mycorrhizal fungi and understory herbs of a Korean pine plantation in northern China. Frontiers in Ecology and Evolution. 11: 1192267. https://doi.org/10.3389/fevo.2023.1192267
  146. Welz, T.; Doebler, P.; Pauly, M. (2022). Fisher transformation based confidence intervals of correlations in fixed‐ and random‐effects meta‐analysis. British Journal of Mathematical and Statistical Psychology. 75(1): 1–22. https://doi.org/10.1111/bmsp.12242
  147. Wilkes, T. -I.; Warner, D. -J.; Edmonds-Brown, V.; Davies, K. -G.; Denholm, I. (2021). Zero Tillage Systems Conserve Arbuscular Mycorrhizal Fungi, Enhancing Soil Glomalin and Water Stable Aggregates with Implications for Soil Stability. Soil Systems. 5(1), 4. https://doi.org/10.3390/soilsystems5010004
  148. Wu, F.; Zhao, W.; Ji, Q.; Zhang, D. (2020). Dependency, centrality and dynamic networks for international commodity futures prices. International Review of Economics & Finance. 67. 118–132. https://doi.org/10.1016/j.iref.2020.01.004
  149. Xiao, L.; Zhang, Y.; Li, P.; Xu, G.; Shi, P.; Zhang, Y. (2019). Effects of freeze-thaw cycles on aggregate-associated organic carbon and glomalin-related soil protein in natural-succession grassland and Chinese pine forest on the Loess Plateau. Geoderma. 334: 1–8. https://doi.org/10.1016/j.geoderma.2018.07.043
  150. Yang, W.; Li, S.; Wang, X.; Liu, F.; Li, X.; Zhu, X. (2021). Soil properties and geography shape arbuscular mycorrhizal fungal communities in black land of China. Applied Soil Ecology. 167: 104109. https://doi.org/10.1016/j.apsoil.2021.104109
  151. Yang, Y.; Dou, Y.; An, S. (2018). Testing association between soil bacterial diversity and soil carbon storage on the Loess Plateau. Science of The Total Environment. 626: 48–58. https://doi.org/10.1016/j.scitotenv.2018.01.081
  152. Yang, Y.; Luo, W.; Xu, J.; Guan, P.; Chang, L.; Wu, X.; Wu, D. (2022). Fallow land enhances carbon sequestration in glomalin and soil aggregates through regulating diversity and network complexity of arbuscular mycorrhizal fungi under climate change in relatively high-latitude regions. Frontiers in Microbiology. 13: 930622. https://doi.org/10.3389/fmicb.2022.930622
  153. Yoshida, L.; Allen, E. (2001). Response to ammonium and nitrate by a mycorrhizal annual invasive grass and native shrub in southern California. American Journal of Botany. 88(8): 1430–1436. https://doi.org/10.2307/3558450
  154. Zhang, H.; Zhou, M.X.; Zai, X.; Zhao, F.; Qin, P. (2020). Spatio-temporal dynamics of arbuscular mycorrhizal fungi and soil organic carbon in coastal saline soil of China. Scientific Reports. 10(1): 9781. https://doi.org/10.1038/s41598-020-66976-w
  155. Zhang, Z.; Wang, Q.; Wang, H.; Nie, S.; Liang, Z. (2017). Effects of soil salinity on the content, composition, and ion binding capacity of glomalin-related soil protein (GRSP). Science of The Total Environment. 581–582: 657–665. https://doi.org/10.1016/j.scitotenv.2016.12.176
  156. Zhang, Z.; Zhou, Z.; Feng, S.; Guo, P.; Wang, Y.; Hao, B.; Guo, W.; Li, F. Y. (2024). Synergistic effects of AMF and PGPR on improving saline-alkaline tolerance of Leymus chinensis by strengthening the link between rhizosphere metabolites and microbiomes. Environmental Technology & Innovation. 36: 103900. https://doi.org/10.1016/j.eti.2024.103900
  157. Zhao, L.; Zhang, K.; Sun, X.; He, X. (2022). Dynamics of arbuscular mycorrhizal fungi and glomalin in the rhizosphere of Gymnocarpos przewalskii in Northwest Desert, China. Applied Soil Ecology. 170: 104251. https://doi.org/10.1016/j.apsoil.2021.104251
  158. Zhu, R.; Zheng, Z.; Li, T.; He, S.; Zhang, X.; Wang, Y.; Liu, T. (2019). Effect of tea plantation age on the distribution of glomalin-related soil protein in soil water-stable aggregates in southwestern China. Environmental Science and Pollution Research. 26(2): 1973–1982. https://doi.org/10.1007/s11356-018-3782-4

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