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Ichsani Wheeler
Researcher at University of Sydney
Publications - 19
Citations - 4267
Ichsani Wheeler is an academic researcher from University of Sydney. The author has contributed to research in topics: Soil carbon & Digital soil mapping. The author has an hindex of 10, co-authored 19 publications receiving 2875 citations.
Papers
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Journal ArticleDOI
SoilGrids250m: Global gridded soil information based on machine learning
Tomislav Hengl,Jorge Mendes de Jesus,Gerard B. M. Heuvelink,Maria Ruiperez Gonzalez,Milan Kilibarda,Aleksandar Blagotić,Wei Shangguan,Marvin N. Wright,Xiaoyuan Geng,Bernhard Bauer-Marschallinger,Mario Guevara,Rodrigo Vargas,R. A. MacMillan,Niels H. Batjes,Johan G. B. Leenaars,Eloi Ribeiro,Ichsani Wheeler,Stephan Mantel,Bas Kempen +18 more
TL;DR: Improvements in the relative accuracy considering the amount of variation explained, in comparison to the previous version of SoilGrids at 1 km spatial resolution, range from 60 to 230%.
Journal ArticleDOI
The knowns, known unknowns and unknowns of sequestration of soil organic carbon
Uta Stockmann,Mark A. Adams,John W. Crawford,Damien J. Field,Nilusha Henakaarchchi,Meaghan E. Jenkins,Budiman Minasny,Alex B. McBratney,Vivien de Rémy de Courcelles,Kanika Singh,Ichsani Wheeler,Lynette Abbott,Denis A. Angers,Jeff Baldock,Michael I. Bird,Philip C. Brookes,Claire Chenu,Julie D. Jastrow,Rattan Lal,Johannes Lehmann,Anthony G. O'Donnell,William J. Parton,David Whitehead,Michael Zimmermann +23 more
TL;DR: In this article, a review highlights knowledge of the amount of carbon stored in soils globally, and the potential for carbon sequestration in soil, and discusses successful methods and models used to determine and estimate carbon pools and fluxes.
Book ChapterDOI
Digital mapping of soil carbon
TL;DR: In this paper, the authors review and discuss the recent advances in digital mapping of soil C. They discuss several relevant aspects in digital soil mapping: carbon concentration and carbon density, source of data, sampling density and resolution, depth of investigation, map validation, map uncertainty, and environmental covariates.
Journal ArticleDOI
Soil nutrient maps of Sub-Saharan Africa: assessment of soil nutrient content at 250 m spatial resolution using machine learning.
Tomislav Hengl,Johan G. B. Leenaars,Keith D. Shepherd,Markus G. Walsh,Gerard B. M. Heuvelink,Tekalign Mamo,Helina Tilahun,Ezra Berkhout,Matthew Cooper,Eric Fegraus,Ichsani Wheeler,Nketia A. Kwabena +11 more
TL;DR: Spatial predictions of soil macro and micro-nutrient content across Sub-Saharan Africa at 250 m spatial resolution and for 0–30 cm depth interval are presented and it is shown that soil nutrients are indeed critical for agricultural development.
Journal ArticleDOI
Soils and climate change: potential impacts on carbon stocks and greenhouse gas emissions, and future research for Australian agriculture
TL;DR: The diversity of climate, soil types, and agricultural practices in place across Australia will make it difficult to define generic scenarios for greenhouse gas emissions, and development of a robust modelling capability will be required to construct regional and national emission assessments.