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World Reference Base for Soil Resources 2006
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The designations employed and the presentation of material in this information product do not imply the expression of any opinion whatsoever on the part of the Food and Agriculture Organization of the United Nations concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries.Abstract:
The designations employed and the presentation of material in this information product do not imply the expression of any opinion whatsoever on the part of the Food and Agriculture Organization of the United Nations concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. All rights reserved. Reproduction and dissemination of material in this information product for educational or other non-commercial purposes are authorized without any prior written permission from the copyright holders provided the source is fully acknowledged. Reproduction of material in this information product for resale or other commercial purposes is prohibited without written permission of the copyright holders. Applications for such permission should be addressed to the Chief,read more
Citations
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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%.
World reference base for soil resources 2014International soil classification system for naming soils and creating legends for soil maps
Anjos Lúcia,Gaistardo Carlos Cruz,Deckers Jozef,Dondeyne Stefaan,Eberhardt Einar,Gerasimova Maria,Harms Ben,Jones Arwyn,Krasilnikov Pavel,Reinsch Thomas,Vargas Ronald,Zhang Gan-Lin +11 more
Journal ArticleDOI
Drought sensitivity of the Amazon rainforest.
Oliver L. Phillips,Luiz E. O. C. Aragão,Simon L. Lewis,Joshua B. Fisher,Jon Lloyd,Gabriela Lopez-Gonzalez,Yadvinder Malhi,Abel Monteagudo,Julie Peacock,Carlos A. Quesada,Geertjer Van Der Heijden,Samuel Almeida,Iêda Leão do Amaral,Luzmila Arroyo,Gerardo Aymard,Timothy R. Baker,Olaf Bánki,Lilian Blanc,Damien Bonal,Paulo M. Brando,Jérôme Chave,Atila Alves de Oliveira,Nallaret Davila Cardozo,Claudia I. Czimczik,Ted R. Feldpausch,Maria Aparecida Freitas,Emanuel Gloor,Niro Higuchi,E. M. Jimenez,Gareth Lloyd,Patrick Meir,Casimiro Mendoza,Alexandra C. Morel,David A. Neill,Daniel C. Nepstad,Sandra Patiño,M. C. Peñuela,Adriana Prieto,Fredy Ramírez,Michael P. Schwarz,Javier Silva,Marcos Silveira,Anne Sota Thomas,Hans ter Steege,Juliana Stropp,Rodolfo Vasquez,Przemyslaw Zelazowski,Esteban Alvarez Dávila,Sandy J. Andelman,Ana Andrade,Kuo-Jung Chao,Terry L. Erwin,Anthony Di Fiore,C Eurídice Honorio,Helen C. Keeling,Timothy J. Killeen,William F. Laurance,Antonio Peña Cruz,Nigel C. A. Pitman,Percy Núñez Vargas,Hirma Ramírez-Angulo,Agustín Rudas,Rafael Salamão,Natalino Silva,John Terborgh,Armando Torres-Lezama +65 more
TL;DR: Records from multiple long-term monitoring plots across Amazonia are used to assess forest responses to the intense 2005 drought, a possible analog of future events that may accelerate climate change through carbon losses and changed surface energy balances.
Journal ArticleDOI
SoilGrids1km--global soil information based on automated mapping.
Tomislav Hengl,Jorge Mendes de Jesus,R. A. MacMillan,Niels H. Batjes,Gerard B. M. Heuvelink,Eloi Ribeiro,Alessandro Samuel-Rosa,Bas Kempen,Johan G. B. Leenaars,Markus G. Walsh,Maria Ruiperez Gonzalez +10 more
TL;DR: SoilGrids1km provides an initial set of examples of soil spatial data for input into global models at a resolution and consistency not previously available and results of regression modeling indicate that the most useful covariates for modeling soils at the global scale are climatic and biomass indices, lithology, and taxonomic mapping units derived from conventional soil survey.
Journal ArticleDOI
Biogeochemistry of paddy soils
Ingrid Kögel-Knabner,Wulf Amelung,Zhihong Cao,Sabine Fiedler,Peter Frenzel,Reinhold Jahn,Karsten Kalbitz,Angelika Kölbl,Michael Schloter +8 more
TL;DR: In paddy soils, the management-induced, microbially mediated redox processes control the dynamics of soil minerals and soil organic matter, which are strongly related to the microbial accessibility of C and N, but also of Fe as discussed by the authors.
References
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World Reference Base for Soil Resources
TL;DR: The World Reference Base for Soil Resources (WRB) as mentioned in this paper is a reference base for soil resources developed by the International Union of Soil Sciences (IUSS) for soil correlation.