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2 real negative results, null findings, and replication failures in Environmental Science · Methods Dead-End. Search the index →

WASTE indexes published research — it does not host or republish full papers. Each entry is a metadata record compiled from open scholarly databases; the abstract is shown in full only where the paper is openly licensed, otherwise a short excerpt under fair use. Classifications are automated and approximate.

Methods Dead-EndOpen accessEnvironmental Science

Digital Mapping of Soil Properties Using Ensemble Machine Learning Approaches in an Agricultural Lowland Area of Lombardy, Italy

Odunayo David Adeniyi, Alexander Brenning, Alice Bernini et al. · 2023 · Land

Sustainable agricultural landscape management needs reliable and accurate soil maps and updated geospatial soil information. Recently, machine learning (ML) models have commonly been used in digital soil mapping, together with limited data, for various types of landscapes. In this study, we tested linear and nonlinear ML models in predicting and mapping soil properties in an agricultural lowland landscape of Lombardy region, Italy. We further evaluated the ability of an ensemble learning model, based on a stacking approach, to predict the spatial variation of soil properties, such as sand, sil

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Methods Dead-EndOpen accessEnvironmental Science

What is required for a post-growth model?

Reo Van Eynde, Kevin J. Dillman, Jefim Vogel et al. · 2026 · Ecological Economics

Post-growth has emerged as an umbrella concept for various sustainability visions that prioritise the pursuit of environmental sustainability, social equity, and human wellbeing, while questioning the pursuit of economic growth. Although there are increasing calls to include post-growth scenarios in high-level assessments, there is no coherent framework that specifies what is required to model post-growth. This article addresses this gap by: (1) identifying the minimum requirements for post-growth models, and (2) establishing a set of model elements for representing post-growth policy themes.

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