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| Natura: | Recurso digital |
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Zenodo
2025
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| Accesso online: | https://doi.org/10.5281/zenodo.17573127 |
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Sommario:
- <p>The dataset, provided as Supplementary Material, compiles 2,455 correlations between plant traits and ecosystem functions (EFs) extracted from multiple studies, with each row representing a unique trait–EF combination across traits, functions, treatments, or sites. It includes two sheets: metadata, containing definitions, units, and variable descriptions, and data, structured into thematic blocks. The first block contains plant trait information, including trait identity, units, and level (distinguishing trait magnitude and trait diversity metrics), as well as functional classifications by type (morphological or physiological), location (aboveground, belowground, or whole plant), and tissue. Morphological traits describe structural features such as size, architecture, and biomass allocation (e.g., SLA, SRL, root diameter), while physiological traits capture chemical and metabolic processes related to resource use (e.g., N, P, C content, photosynthesis, respiration). The second block contains EF data, detailing function names, classifications, microbial components, methods, and units. Ecosystem functions are organized hierarchically: at the broadest level, into rates of processes (e.g., nutrient cycling, decomposition, respiration) and pools of materials (e.g., organic matter, nutrients, microbial biomass), with further subdivisions specifying material type and form. The final block includes study and site metadata, such as article ID, plant species and life form, experimental setting, site name and coordinates, climate classification, and ecosystem type, with additional details (e.g., Olson biome and Köppen climate categories) provided in supplementary tables and figures. Overall, the dataset offers a standardized, hierarchically organized synthesis linking plant functional traits—both magnitude and diversity metrics—to ecosystem functions across a wide range of biomes, climates, and experimental contexts.</p>