A global, empirical, harmonised dataset of soil organic carbon changes under perennial crops

Alicia Ledo, Jonathan Hillier, Pete Smith, Eduardo Aguilera, Sergey Blagodatskiy, Francis Q. Brearley, Ashim Datta, Eugenio Diaz-Pines, Axel Don, Marta Dondini, Jennifer Marie Dunn, Diana Marisa Feliciano, Mark A. Liebig, Rong Lang, Mireia Llorente, Yuri Lopes Zinn, Niall McNamara, Stephen Ogle, Zhangcai Qin, Pere RoviraRebecca Rowe, José Luis Vicente-Vicente, Jeanette Whitaker, Qian Yue, Ayalsew Zerihun

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

A global, unified dataset on Soil Organic Carbon (SOC) changes under perennial crops has not existed till now. We present a global, harmonised database on SOC change resulting from perennial crop cultivation. It contains information about 1605 paired-comparison empirical values (some of which are aggregated data) from 180 different peer-reviewed studies, 709 sites, on 58 different perennial crop types, from 32 countries in temperate, tropical and boreal areas; including species used for food, bioenergy and bio-products. The database also contains information on climate, soil characteristics, management and topography. This is the first such global compilation and will act as a baseline for SOC changes in perennial crops. It will be key to supporting global modelling of land use and carbon cycle feedbacks, and supporting agricultural policy development.

Original languageEnglish (US)
Article number57
JournalScientific Data
Volume6
Issue number1
DOIs
StatePublished - Dec 1 2019

Funding

We acknowledge Deborah McGrath, Richard Harper and Stanley Sochacki for providing the paper contributing data. This study was initially funded by the NERC project (NE/N017854/1). It was finished by the BBSRC project BB/P027784/1 (AFRICAP), which supported A. Ledo. Y.L. Zinn is supported by CNPq (grant #302038/2016-7). A. Datta is thankful to the Director, and HSCM, ICAR-CSSRI for providing necessary facilities during attachement training study. Data provided by N. McNamara and J. Whitaker are from the Energy Technologies Institute “Ecosystem Land Use Project” (www.elum.ac.uk). An anonymous reviewer provided useful comments to improve the first version of the manuscript.

ASJC Scopus subject areas

  • Information Systems
  • Education
  • Library and Information Sciences
  • Statistics and Probability
  • Computer Science Applications
  • Statistics, Probability and Uncertainty

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