@article{brown1930pedology,
    author = "Brown, P. E.",
    title = "PEDOLOGY OR SOIL SCIENCE",
    year = "1930",
    journal = "Science",
    url = "https://doi.org/10.1126/science.71.1835.243-a",
    doi = "10.1126/science.71.1835.243-a",
    number = "1835",
    pages = "243-244",
    volume = "71"
}

@article{shaw1930is,
    author = "Shaw, Chas. F.",
    title = "Is Pedology Soil Science?",
    year = "1930",
    journal = "Soil Science Society of America Journal",
    url = "https://doi.org/10.2136/sssaj1930.036159950b1120010005x",
    doi = "10.2136/sssaj1930.036159950b1120010005x",
    number = "2001",
    pages = "30-33",
    volume = "B11"
}

@article{r1936pedology,
    author = "R., G. W.",
    title = "Pedology (Soil Science) at the British Association",
    year = "1936",
    journal = "Nature",
    url = "https://doi.org/10.1038/138729a0",
    doi = "10.1038/138729a0",
    number = "3495",
    pages = "729-730",
    volume = "138"
}

@article{crocker1952soil3,
    author = "Crocker, R. L",
    title = "Soil genesis and the pedogenic factors",
    year = "1952",
    journal = "Quarterly Review of Biology, v. 27, p. 139-168",
    note = "talkorigins\_source = {true}; raw\_reference = {Crocker, R. L., 1952, Soil genesis and the pedogenic factors: Quarterly Review of Biology, v. 27, p. 139-168.}"
}

@article{crocker1955soil4,
    author = "Crocker, R. and Major, J",
    title = "Soil development in relation to vegetation and surface age at Glacier Bay, Alaska",
    year = "1955",
    journal = "Journal of Ecology, v. 43, p. 427-448",
    note = "talkorigins\_source = {true}; raw\_reference = {Crocker, R., and Major, J., 1955, Soil development in relation to vegetation and surface age at Glacier Bay, Alaska: Journal of Ecology, v. 43, p. 427-448.}"
}

@misc{doeksen1963soil5,
    author = "Doeksen, J. and van der Drift, J",
    title = "Soil organisms",
    year = "1963",
    howpublished = "Amsterdam, North- Holland, 453 p",
    note = "talkorigins\_source = {true}; raw\_reference = {Doeksen, J., and van der Drift, J., 1963, Soil organisms: Amsterdam, North- Holland, 453 p.}"
}

@book{burges1967soil2,
    author = "Burges, A. and Raw, F",
    title = "Soil Biology",
    year = "1967",
    publisher = "New York, Academic Press, 532 p",
    note = "talkorigins\_source = {true}; raw\_reference = {Burges, A., and Raw, F., 1967, Soil Biology: New York, Academic Press, 532 p.}"
}

@book{black1968soilplant1,
    author = "Black, C. A",
    title = "Soil-Plant Relationships [2nd ed.]",
    year = "1968",
    publisher = "New York, Wiley, 792 p",
    note = "talkorigins\_source = {true}; raw\_reference = {Black, C. A., 1968, Soil-Plant Relationships [2nd ed.]: New York, Wiley, 792 p.}"
}

@article{brewer1972pedology,
    author = "Brewer, R.",
    title = "Pedology, a systematic approach to soil science",
    year = "1972",
    journal = "Earth-Science Reviews",
    url = "https://doi.org/10.1016/0012-8252(72)90088-8",
    doi = "10.1016/0012-8252(72)90088-8",
    number = "2",
    pages = "236",
    volume = "8"
}

@article{day1974pedology,
    author = "DAY, J. H.",
    title = "Pedology, a Systematic Approach to Soil Science",
    year = "1974",
    journal = "Soil Science",
    url = "https://doi.org/10.1097/00010694-197404000-00011",
    doi = "10.1097/00010694-197404000-00011",
    number = "4",
    pages = "236",
    volume = "117"
}

@article{matsui1977quaternary,
    author = "MATSUI, Takeshi",
    title = "Quaternary Pedology (Paleopedology and Soil Geography)",
    year = "1977",
    journal = "The Quaternary Research (Daiyonki-Kenkyu)",
    url = "https://doi.org/10.4116/jaqua.15.208",
    doi = "10.4116/jaqua.15.208",
    number = "4",
    pages = "208-209",
    volume = "15"
}

@misc{crossref1992pedology,
    title = "Pedology: The Science of Soil Development",
    year = "1992",
    booktitle = "ASA, CSSA, and SSSA Books",
    url = "https://doi.org/10.2136/1992.opportunitiesinbasic.c2",
    doi = "10.2136/1992.opportunitiesinbasic.c2",
    pages = "9-25"
}

@article{ma2019pedology,
    author = "Ma, Yuxin and Minasny, Budiman and Malone, Brendan P. and Mcbratney, Alex B.",
    title = "Pedology and digital soil mapping (DSM)",
    year = "2019",
    journal = "European Journal of Soil Science",
    abstract = "Pedology focuses on understanding soil genesis in the field and includes soil classification and mapping. Digital soil mapping (DSM) has evolved from traditional soil classification and mapping to the creation and population of spatial soil information systems by using field and laboratory observations coupled with environmental covariates. Pedological knowledge of soil distribution and processes can be useful for digital soil mapping. Conversely, digital soil mapping can bring new insights to pedogenesis, detailed information on vertical and lateral soil variation, and can generate research questions that were not considered in traditional pedology. This review highlights the relevance and synergy of pedology in soil spatial prediction through the expansion of pedological knowledge. We also discuss how DSM can support further advances in pedology through improved representation of spatial soil information. Some major findings of this review are as follows: (a) soil classes can be mapped accurately using DSM, (b) the occurrence and thickness of soil horizons, whole soil profiles and soil parent material can be predicted successfully with DSM techniques, (c) DSM can provide valuable information on pedogenic processes (e.g. addition, removal, transformation and translocation), (d) pedological knowledge can be incorporated into DSM, but DSM can also lead to the discovery of knowledge, and (e) there is the potential to use process‐based soil–landscape evolution modelling in DSM. Based on these findings, the combination of data‐driven and knowledge‐based methods promotes even greater interactions between pedology and DSM. Highlights Demonstrates relevance and synergy of pedology in soil spatial prediction, and links pedology and DSM. Indicates the successful application of DSM in mapping soil classes, profiles, pedological features and processes. Shows how DSM can help in forming new hypotheses and gaining new insights about soil and soil processes. Combination of data‐driven and knowledge‐based methods recommended to promote greater interactions between DSM and pedology.",
    url = "https://doi.org/10.1111/ejss.12790",
    doi = "10.1111/ejss.12790",
    number = "2",
    pages = "216-235",
    volume = "70"
}

@article{doi103934microbiol2025046,
    author = "Hnini, Mohamed and Rabeh, Karim and Oubohssaine, Malika",
    title = "Understanding plant-microorganism interactions: The key roles of soil, rhizosphere, and direct and indirect mechanisms.",
    year = "2025",
    journal = "AIMS microbiology",
    abstract = "Soil, the Earth's upper crust layer, is crucial for ecological processes, comprising mineral, organic, and biological components that determine fertility and multifuncionality. Human-induced degradation necessitates advancements in pedology and soil conservation. The rhizosphere, surrounding plant roots, houses a diverse microbial community, notably bacteria, which enhance plant growth and disease resistance. Root exudates fuel biological activity and nutrient cycling, supporting microbial growth, improving soil structure, and reducing plant stress. Plant-microorganism interactions in ecological and agricultural systems play a vital role for maintaining primary production and ecosystem sustainability. Moreover, arbuscular mycorrhizae and nitrogen-fixing bacteria are essential, influencing plant development, sustainability, and ecosystem health. Specific bacterial phyla populate the rhizosphere and endosphere, with Plant Growth-Promoting Rhizobacteria (PGPR), such as Pseudomonas spp. and Bacillus spp., playing a prominent role. PGPR employ direct and indirect mechanisms, including phytohormone production, mineral solubilization, systemic resistance induction, antibiosis, competition for resources, and ACC deaminase activity, The amalgamation of these traits underscores the conceptual foundation for comprehending the ecological and agricultural implications of employing microbes. This inquiry is particularly relevant to sustainable agriculture, where the use of microbes, including PGPR, plays a crucial role in biofertilization and mitigating environmental stressors. Thus, investigating the ecological and agricultural implications through multi-omics approaches such as genomics, transcriptomics, proteomics, and metabolomics offers valuable insights. The integration of these multi-omics data provides a comprehensive framework for understanding the complex interactions between plants, bacteria, and fungi. This holistic perspective not only deepens our understanding of soil ecology but also lays the groundwork for informed and sustainable agricultural practices, fostering resilience against environmental stresses.",
    url = "https://pmc.ncbi.nlm.nih.gov/articles/PMC12782948/",
    doi = "10.3934/microbiol.2025046",
    pmcid = "PMC12782948",
    pmid = "41522446"
}

@article{doi101186s40793026008711,
    author = "Yang, Keming and Li, Jingxuan and Li, Le and Fu, Lukuan and Liu, Weijie and Jia, Zhenyu and Wang, Zhaoming and Wei, Zhong and Zhang, Fengge",
    title = "Soil antibiotic resistome in farmland exhibits higher diversity and horizontal transfer potential than adjacent pastureland in agro-pastoral ecotone.",
    year = "2026",
    journal = "Environmental microbiome",
    abstract = "BACKGROUND: Soil antibiotic resistant genes (ARGs) and mobile genetic elements (MGEs) are associated with agricultural land-use differences. However, assessing the soil antibiotic resistome differences between farmland and pastureland is often limited due to geographically unbalanced sample collection. Leveraging a typical agro-pastoral ecotone in northern China as the study model, we compared the soil microbiome and resistome between 15 adjacent farmland and pastureland pairs using metagenomic sequencing. RESULTS: Results showed that farmland soils harbored higher soil ARG diversity (+ 2.75\%), MGE diversity (+ 1.62\%) and multidrug resistance-related gene abundance (+ 19.5\%) than pastureland. Among them, genes conferring multidrug resistances were dominant in farmland, mainly carried by Pseudomonadota. While, vancomycin-resistant ARGs were dominant in pastureland, mainly carried by Actinomycetota. Metagenome-assembled genomes revealed that sul2 conferring sulfonamide resistance was shared by both Pseudomonadota and Acidobacteriota in farmland together with insertion sequence ISVsa3. Structural equation model analysis integrating with soil geography, pedology and microbiome data showed microbial community and soil properties were identified as major driving factors shaping soil antibiotic resistome diversity in both land-use contexts. MGE diversity showed a clear positive effect on ARG diversity in farmland soils but a minor effect in pastureland. CONCLUSIONS: Together, this study elucidates the shared and distinguished soil antibiotic resistome pattern between farmland and pastureland, extending our understanding of driving factors in agricultural soil ARG contamination.",
    url = "https://pmc.ncbi.nlm.nih.gov/articles/PMC13032353/",
    doi = "10.1186/s40793-026-00871-1",
    pmcid = "PMC13032353",
    pmid = "41724983"
}