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  5. Does liming grasslands increase biomass productivity without causing detrimental impacts on net greenhouse gas emissions?

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Article
en
2022

Does liming grasslands increase biomass productivity without causing detrimental impacts on net greenhouse gas emissions?

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0 Files

en
2022
Vol 300
Vol. 300
DOI: 10.1016/j.envpol.2022.118999

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Pete Smith
Pete Smith

University of Aberdeen

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Mohamed Abdalla
Mikk Espenberg
Laura Zavattaro
+9 more

Abstract

Soil acidification has negative impacts on grass biomass production and the potential of grasslands to mitigate greenhouse gas (GHG) emissions. Through a global review of research on liming of grasslands, the objective of this paper was to assess the impacts of liming on soil pH, grass biomass production and total net GHG exchange (nitrous oxide (N2O), methane (CH4) and net carbon dioxide (CO2)). We collected 57 studies carried out at 88 sites and covering different countries and climatic zones. All of the studies examined showed that liming either reduced or had no effects on the emissions of two potent greenhouse gases (N2O and CH4). Though liming of grasslands can increase net CO2 emissions, the impact on total net GHG emission is minimal due to the higher global warming potential, over a 100-year period, of N2O and CH4 compared to that of CO2. Liming grassland delivers many potential advantages, which justify its wider adoption. It significantly ameliorates soil acidity, increases grass productivity, reduces fertiliser requirement and increases species richness. To realise the maximum benefit of liming grassland, we suggest that acidic soils should be moderately limed within the context of specific climates, soils and management.

How to cite this publication

Mohamed Abdalla, Mikk Espenberg, Laura Zavattaro, Eszter Lellei‐Kovács, Ülo Mander, Kate Smith, R. E. Thorman, Claudia Dămătîrcă, R.L.M. Schils, Hein ten-Berge, Paul Newell‐Price, Pete Smith (2022). Does liming grasslands increase biomass productivity without causing detrimental impacts on net greenhouse gas emissions?. , 300, DOI: https://doi.org/10.1016/j.envpol.2022.118999.

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Publication Details

Type

Article

Year

2022

Authors

12

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1016/j.envpol.2022.118999

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