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http://rid.unrn.edu.ar/handle/20.500.12049/14093
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| Campo DC | Valor | Lengua/Idioma |
|---|---|---|
| dc.contributor.author | Quiroga, Marina | - |
| dc.coverage.spatial | Valle inferior del rio Negro (VIRN)- Viedma | es_ES |
| dc.coverage.temporal | abril-mayo2021 | es_ES |
| dc.date.accessioned | 2026-02-23T17:32:46Z | - |
| dc.date.available | 2026-02-23T17:32:46Z | - |
| dc.date.issued | 2021-04 | - |
| dc.identifier.uri | http://rid.unrn.edu.ar/handle/20.500.12049/14093 | - |
| dc.description | This dataset integrates information on earthworm communities and physico-chemical soil properties in the Lower Río Negro Valley (Patagonia, Argentina), collected during Autumn 2021. The data stems from an observational study comparing five land-use systems: natural field (reference), cereal crops, horticulture, fruit orchards, and pastures, with sampling conducted at two depths (0–10 and 10–20 cm). The methodology followed international standards (ISO 23611-2) for macrofauna collection through hand-sorting in soil monoliths. Soil analysis included standard variables (pH, moisture, density, conductivity) and physical fractionation of organic matter to separate Particulate Organic Matter (POM) from Mineral-Associated Organic Matter (MAOM). The dataset includes both biological data (abundance, biomass, and species diversity, such as A. trapezoides and A. rosea) and edaphic variables. | es_ES |
| dc.language.iso | en | es_ES |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | - |
| dc.title | RawData_Earthworms_LandUse_Patagonia_2021 | es_ES |
| dc.title.alternative | RawData_Earthworms_SoilProperties_LandUse_Patagonia_2021.xlsx | es_ES |
| dc.type | Datos primarios | es_ES |
| dc.rights.license | Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) | - |
| dc.description.filiation | Quiroga, Marina. CONICET- UNRN. CIT-Río Negro Sede Atlántica. Río Negro. Argentina. | es_ES |
| dc.subject.keyword | earthworms | es_ES |
| dc.subject.keyword | soil | es_ES |
| dc.subject.keyword | monolith | es_ES |
| dc.type.version | info:eu-repo/semantics/acceptedVersion | es_ES |
| dc.subject.materia | Ciencias Exactas y Naturales | es_ES |
| dc.origin.lugarDesarrollo | Universiada Nacional de Río Negro. CIT Rio Negro | es_ES |
| dc.description.resumen | This dataset integrates quantitative information on earthworm communities and physico-chemical soil properties in the Lower Río Negro Valley (Patagonia, Argentina), collected during Autumn 2021. The data stems from an observational study in irrigated soils, comparing five land-use systems: natural field (reference), cereal crops, horticulture, fruit orchards, and pastures, with sampling conducted at two depths (0–10 and 10–20 cm). The methodology for macrofauna followed international standards (ISO 23611-2) using hand-sorting in soil monoliths. Soil analysis included standard variables (pH, moisture, density, conductivity) and physical organic matter fractionation to separate Particulate Organic Matter (POM) from Mineral-Associated Organic Matter (MAOM). The dataset provides species-level abundance matrices (e.g., A. trapezoides, A. rosea), biomass, and taxonomic richness. These data are essential for understanding soil ecology and carbon sequestration in irrigated semi-arid ecosystems, representing the first regional record linking specific taxa with advanced organic matter fractionation. | es_ES |
| dc.relation.relatedProject | UNRN/PI-UNRN/40-C-1062/AR. Provincia de Río Negro. Viedma/Efecto de diferentes usos de la tierra sobre la macrofauna edáfica en el Valle Inferior del rio Negro. | es_ES |
| dc.subject.ford | 1.6 | es_ES |
| Aparece en las colecciones: | Datos Primarios Libres | |
Archivos en este ítem:
| Archivo | Descripción | Tamaño | Formato | |
|---|---|---|---|---|
| datasetMQ.xlsx | 48,54 kB | Microsoft Excel XML | Visualizar/Abrir |
Este documento es resultado del financiamiento otorgado por el Estado Nacional, por lo tanto queda sujeto al cumplimiento de la Ley N° 26.899
Este ítem está sujeto a una licencia Creative Commons
Licencia Creative Commons