High-resolution soil organic carbon mapping for enhancing predictive accuracy of environmental drivers in heterogeneous and mountainous landscapes in Patagonia
Authors:
- Fabio D. TrincoFTFabio D. Trinco
- Mojtaba ZeraatpishehMojtaba Zeraatpisheh
- Hannah C. TurnerHTHannah C. Turner
- Verónica El MujtarVMVerónica El Mujtar
- Pablo A. TittonellPTPablo A. Tittonell
- Gillian L. GalfordGGGillian L. Galford
Open Access
Abstract
No abstract availableFunding Information
- Gund Institute for Environment
- Agricultural Research Service
- Agencia Nacional de Promoción de la Investigación, el Desarrollo Tecnológico y la Innovación
- University of Vermont
- National Aeronautics and Space Administration (80NSSC23K0537)
This publication has 40 references indexed in Scilit:
- Effect of Grasses on Native Tree Seedling Establishment Along a Water Stress Gradient: Results of Forest and Greenhouse ExperimentsLand Degradation & Development, 2024
- Disentangling contributions of allometry, species composition and structure to high aboveground biomass density of high-elevation forestsForest Ecology and Management, 2024
- Machine learning-based digital mapping of soil organic carbon and texture in the mid-Himalayan terrainEnvironmental Monitoring and Assessment, 2023
- Aridity and Overgrazing Have Convergent Effects on Ecosystem Structure and Functioning in Patagonian RangelandsLand Degradation & Development, 2017
- New precipitation and temperature grids for northern Patagonia: Advances in relation to global climate gridsJournal of Meteorological Research, 2016
- High resolution 3D mapping of soil organic carbon in a heterogeneous agricultural landscapeGeoderma, 2014
- Digital Mapping of Soil Carbon2013
- Soil organic carbon concentrations and stocks on Barro Colorado Island — Digital soil mapping using Random Forests analysisGeoderma, 2008
- Land use change and soil organic carbon dynamicsNutrient Cycling in Agroecosystems, 2007
- The effects of soil bulk density, clay content and temperature on soil water content measurement using time‐domain reflectometryHydrological Processes, 2003