The Automated Reference Toolset: A Soil‐Geomorphic Ecological Potential Matching Algorithm. Issue 5 (13th October 2016)

• Record Type: Journal Article
• Authors: Nauman, Travis W.; Duniway, Michael C.
• Is Part Of: Soil Science Society of America Journal. Volume 80:Issue 5(2016)
• Page Start: 1317
• Page End: 1328
• Publication Date: 2016-10-13
• Subjects: Soils -- United States -- Periodicals; Soil science -- Periodicals; Periodicals; 631.4973
• DOI: 10.2136/sssaj2016.05.0151
• Languages: English
• ISSNs: 0361-5995

Abstract

Abstract : Core Ideas: Automated reference toolset (ART) delineates areas of similar ecological potential. ART shows promise for aiding in land management monitoring and assessment. Particle size in the control section (PSCS) is helpful for mapping ecological sites. Neighborhood geomorphic classifications add specificity to ART. Regional PSCS map produced accurately at 30‐m resolution. Ecological inventory and monitoring data need referential context for interpretation. Identification of appropriate reference areas of similar ecological potential for site comparison is demonstrated using a newly developed automated reference toolset (ART). Foundational to identification of reference areas was a soil map of particle size in the control section (PSCS), a theme in US Soil Taxonomy. A 30‐m resolution PSCS map of the Colorado Plateau (366, 000 km 2 ) was created by interpolating ∼5000 field soil observations using a random forest model and a suite of raster environmental spatial layers representing topography, climate, general ecological community, and satellite imagery ratios. The PSCS map had overall out of bag accuracy of 61.8% (Kappa of 0.54, p < 0.0001), and an independent validation accuracy of 93.2% at a set of 356 field plots along the southern edge of Canyonlands National Park, Utah. The ART process was also tested at these plots, and matched plots with the same ecological sites (ESs) 67% of the time where sites fell within 2‐km buffers of each other. These results show that the PSCS and ART have strong application for ecological monitoring and sampling design, as well as assessing impacts of disturbance and land management action using an ecological potential framework. Results also demonstrate that PSCS could be a key mapping layer for the USDA‐NRCS provisional ES development initiative.