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Biophysical and socioeconomic factors influencing soil carbon stocks: a global assessment

  • Sandra Duarte-Guardia
    ,
  • Pablo Peri
    ,
  • Wulf Amelung
    ,
  • Evert Thomas
    ,
  • Nils Borchard
    ,
  • German Baldi
*Corresponding author for this work
  • Universidad Nacional de la Patagonia Austral (UNPA)
    ,
  • Centro Austral de Investigaciones Científicas (CADIC) – CONICET
    ,
  • University of Bonn
    ,
  • Bioversity International
    ,
  • Natural Resources Institute Finland (Luke)
    ,
  • Universidad Nacional de San Luis
Research Output:
Contribution to journal
Review article
Peer-review

Publication Information

Output type

Research Output:
Contribution to journal
Review article
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 1129-1148 (20 pages)

Journal (Volume, Issue Number)

Mitigation and Adaptation Strategies for Global Change (Volume 25, Issue 6)

Publication milestones

  • Published - 01/08/2020

Publication status

Published - 01/08/2020

ISSN

1381-2386

Publication IDs

  • Scopus: 85088576044

Abstract

Soil is the most important terrestrial carbon (C) reservoir but is greatly impacted by land use change (LUC). Previous analyses of LUC impacts on soil C have focused on biophysical variables, leaving aside the influence of socioeconomics. The aim of our study was to determine global soil organic carbon (SOC) change patterns after LUC and to assess the impacts of both biophysical and socioeconomic factors that influence stocks of SOC after LUC simultaneously. This was done at a global scale using 817 sites from 99 peer-reviewed publications. We performed separate analyses for cases in which there were gains and losses of SOC. The best predictors of SOC stock changes were the type of LUC and predictors related to sampling depth, climate, biome, soil order, relief, geology, years since LUC, and primary productivity. However, also, socioeconomic variables such as indices of poverty, population growth, and levels of corruption were important. They explained 33% of the variability in SOC on their own and helped improve model accuracy from 42 to 53% when considered in combination with biophysical variables. SOC losses were highly correlated to the type of LUC and social variables, while SOC gains correlated most strongly with years since LUC and the biophysical variables. The analyses confirm that one of the biggest drivers of SOC loss is conversion to agroindustrial scale cropping, whereas with regard to the recuperation of SOC after LUC, the factor “time since conversion” emerged as the most important predictive variable, which must be better integrated in respective policy expectations. We conclude that policies should more than ever incentivize holistic approaches that prevent additional loss of native SOC, while at the same time promoting sustainable intensification of existing agricultural regions. Finally future investments on LUC to regain SOC should be aligned with efforts to alleviate poverty and corruption for their potential to achieve mutual gains in soil fertility and socio-economic parameters.

Funding Details

We thank INTA Argentina for supporting our work in Patagonia and Universidad Nacional de la Patagonia Austral (UNPA, Argentina) for supporting and promoting education through phD scholarship programs. Evert Thomas is supported by the CGIAR Fund donors. We thank INTA Argentina for supporting our work in Patagonia and Universidad Nacional de la Patagonia Austral (UNPA, Argentina) for supporting and promoting education through phD scholarship programs. Evert Thomas is supported by the CGIAR Fund donors.
FundersFunding numbers
CGIAR
-
UNPA
-
INTA
-
CGIAR
-

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Sustainable Development Goals

  • SDG 13 - Climate Action
    SDG 13 Climate Action
  • SDG 15 - Life on Land
    SDG 15 Life on Land