Por favor, use este identificador para citar o enlazar este ítem:
http://rid.unrn.edu.ar/handle/20.500.12049/14093
| Título: | RawData_Earthworms_LandUse_Patagonia_2021 |
| Otros títulos: | RawData_Earthworms_SoilProperties_LandUse_Patagonia_2021.xlsx |
| Autor(es): | Quiroga, Marina |
| Fecha de publicación: | abr-2021 |
| Descripción: | 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. |
| 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. |
| URI: | http://rid.unrn.edu.ar/handle/20.500.12049/14093 |
| 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