{"doi":"10.5194/se-9-159-2018","title":"On soil textural classifications and soil-texture-based estimations","abstract":"<jats:p>Abstract. The soil texture representation with the standard textural fraction triplet sand–silt–clay is commonly used to estimate soil properties. The objective of this work was to test the hypothesis that other fraction sizes in the triplets may provide a better representation of soil texture for estimating some soil parameters. We estimated the cumulative particle size distribution and bulk density from an entropy-based representation of the textural triplet with experimental data for 6240 soil samples. The results supported the hypothesis. For example, simulated distributions were not significantly different from the original ones in 25 and 85 % of cases when the sand–silt–clay and very coarse+coarse + medium sand − fine + very fine sand − silt+clay were used, respectively. When the same standard and modified triplets were used to estimate the average bulk density, the coefficients of determination were 0.001 and 0.967, respectively. Overall, the textural triplet selection appears to be application and data specific.</jats:p>","journal":"Solid Earth","year":2018,"id":36713,"datarank":1.4220102947213369,"base_score":3.4339872044851463,"endowment":3.4339872044851463,"self_citation_contribution":0.515098080672772,"citation_network_contribution":0.9069122140485649,"self_endowment_contribution":0.515098080672772,"citer_contribution":0.9069122140485649,"corpus_percentile":null,"corpus_rank":null,"citation_count":30,"citer_count":27,"citers_with_citation_signal":18,"citers_with_endowment":18,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":184298,"name":"Yakov A. Pachepsky","orcid":"0000-0003-0232-6090","position":1,"is_corresponding":false},{"id":184299,"name":"Carlos García-Gutiérrez","orcid":"0000-0001-6147-9068","position":2,"is_corresponding":false},{"id":89076,"name":"Miguel Reyes","orcid":"0000-0003-2776-0862","position":3,"is_corresponding":false},{"id":184297,"name":"Miguel Ángel Martín","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"base_score":3.4339872044851463,"endowment":3.4339872044851463,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"24523987","pmcid":null,"openalex_id":"https://openalex.org/W2764030852","authors":[],"funders":[],"total_grants":0,"fwci":2.5507,"citation_percentile":0.87635964,"influential_citations":0,"citation_trend":[{"year":2018,"count":2},{"year":2019,"count":2},{"year":2020,"count":4},{"year":2021,"count":3},{"year":2022,"count":1},{"year":2023,"count":1},{"year":2024,"count":3},{"year":2025,"count":10},{"year":2026,"count":4}],"oa_status":"gold","license":"cc-by","oa_locations":[{"url":"https://www.solid-earth.net/9/159/2018/se-9-159-2018.pdf","host_type":"journal"},{"url":"https://www.solid-earth.net/9/159/2018/se-9-159-2018.pdf","host_type":"GREEN"},{"url":"https://www.solid-earth.net/9/159/2018/se-9-159-2018.pdf","host_type":"publisher"},{"url":"https://se.copernicus.org/articles/9/159/2018/se-9-159-2018.pdf","host_type":"publisher"},{"url":"https://doi.org/10.5194/se-9-159-2018","host_type":"journal"},{"url":"https://oa.upm.es/49989/","host_type":"repository"},{"url":"http://oa.upm.es/49989/","host_type":"repository"},{"url":"https://doaj.org/article/b5c810ca499a450fb7c5d9a63fd2c955","host_type":"repository"},{"url":"https://www.solid-earth.net/9/159/2018/","host_type":"repository"},{"url":"https://oa.upm.es/49989/1/INVE_MEM_2017_270127.pdf","host_type":"repository"}],"fields_of_study":["Soil and Unsaturated Flow","Geotechnical Engineering and Soil Mechanics","Landslides and related hazards","Environmental Science"],"mesh_terms":[],"keywords":["Silt","Soil texture","Texture (cosmology)","Soil science","Particle-size distribution","Soil test","Bulk density","Mineralogy","Soil water","Geology","Particle size","Environmental science","Geomorphology","Computer science","Artificial intelligence"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Life in Land"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-06-10T17:07:37.623986Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}