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The central aim is to develop an automated reference toolset (ART) to identify areas with similar ecological potential for better land management.

The Automated Reference Toolset: A Soil‐Geomorphic Ecological Potential Matching Algorithm

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The central aim is to develop an automated reference toolset (ART) to identify areas with similar ecological potential for better land management.
Created a 30-m resolution map of particle size in the control section (PSCS) by interpolating approximately 5000 field soil observations.
Used a random forest model and raster environmental spatial layers for mapping.
Tested the ART process at validation plots in Canyonlands National Park, Utah.
The PSCS map achieved an overall out of bag accuracy of 61.8% (Kappa of 0.54, p < 0.0001), with independent validation accuracy of 93.2%.
ART matched ecological sites 67% of the time within 2-km buffers.
Results underscore the PSCS map's potential as a critical layer for ecological monitoring and land management.

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Randomized trial assesses ecological potential in land management using a novel algorithm, indicating robust mapping techniques.

Nauman et al. (2016) studied this question.

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