Abstract
Planting trees is suggested as a cheap measure to capture CO2, but might conflict with agricultural land use. Changing pasture and cropland into agroforestry systems like nut orchards might increase carbon (C) sequestration, without encroaching on agricultural land use. C-sequestration can act as a climate engineering measure to mitigate increasing CO2 emissions to the atmosphere. The general discourse is that agroforestry systems can sequester more carbon than cropland or pastures. Data on the impact of land use change from agriculture to agroforestry systems like nut orchards in the temperate climate zone are scarce.
In this study we analysed C-sequestration dynamics in above and below soil stocks and fluxes, from the perspective of global climate mitigation. Field measurements and lab results on chronosequences from pasture and cropland to stands of Corylus and Juglans trees have been combined with modelling future pathways at the level of parcels. The object of study was a temperate nut orchard located on sandy soils in the Netherlands (Province Gelderland).
Data on C stocks and fluxes have been collected in four methods: (1) field sampling analysed in a laboratory, (2) field survey, (3) collecting historic agricultural management data by interviewing and document analysis, and (4) analysing data by literature review. Focus was on C-stock data analysis and additional analysis of the C-budget change over years (chronosequence).
In this study we analysed C-sequestration dynamics in above and below soil stocks and fluxes, from the perspective of global climate mitigation. Field measurements and lab results on chronosequences from pasture and cropland to stands of Corylus and Juglans trees have been combined with modelling future pathways at the level of parcels. The object of study was a temperate nut orchard located on sandy soils in the Netherlands (Province Gelderland).
Data on C stocks and fluxes have been collected in four methods: (1) field sampling analysed in a laboratory, (2) field survey, (3) collecting historic agricultural management data by interviewing and document analysis, and (4) analysing data by literature review. Focus was on C-stock data analysis and additional analysis of the C-budget change over years (chronosequence).
Original language | English |
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DOIs | |
Publication status | Published - 2020 |
Event | EGU General Assembly 2020, Online - Duration: 4 May 2020 → 8 May 2020 Conference number: EGU2020-15541 |
Conference
Conference | EGU General Assembly 2020, Online |
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Period | 4/05/20 → 8/05/20 |