Modelling crop yields and water balances for Ethiopia with LPJmL

Ethiopia faces climate changes that could impact its food and water security. This report describes the modelling of crop production and water balances for two separate studies on Ethiopia using the Lund Potsdam Jena managed Land (LPJmL) model. For the project Soy10 we modelled the effect of a 10% shift in protein source from cereals to soybean on land use and water demand, and explored how resilient these crop’s yields would be to climate change. For the project Multiple Scales and Extreme Events (MSX) we modelled Ethiopia’s crop yields at the rainfed potential level and the corresponding water demand compared to current levels. Results for Soy10 indicate that the assumed protein shift could free up around 2% of Ethiopia’s physical crop area without negatively impacting water availability, and that soybean yields would be more climate resilient than cereals under the selected climate scenario. Results for MSX suggest that Ethiopia has the potential to greatly improve its current yields through production intensification. Intensification would lead to a higher total agricultural water use, but also to greater water use efficiency. Note, however, that results should be interpreted with care, as there are still some points to improve in the modelling process which could affect the results.

Saved in:
Bibliographic Details
Main Authors: Hermelink, M.I., Conijn, J.G., Dankers, R.
Format: External research report biblioteca
Language:English
Published: Wageningen Plant Research
Subjects:Life Science,
Online Access:https://research.wur.nl/en/publications/modelling-crop-yields-and-water-balances-for-ethiopia-with-lpjml
Tags: Add Tag
No Tags, Be the first to tag this record!
id dig-wur-nl-wurpubs-590948
record_format koha
spelling dig-wur-nl-wurpubs-5909482024-12-03 Hermelink, M.I. Conijn, J.G. Dankers, R. External research report Modelling crop yields and water balances for Ethiopia with LPJmL 2021 Ethiopia faces climate changes that could impact its food and water security. This report describes the modelling of crop production and water balances for two separate studies on Ethiopia using the Lund Potsdam Jena managed Land (LPJmL) model. For the project Soy10 we modelled the effect of a 10% shift in protein source from cereals to soybean on land use and water demand, and explored how resilient these crop’s yields would be to climate change. For the project Multiple Scales and Extreme Events (MSX) we modelled Ethiopia’s crop yields at the rainfed potential level and the corresponding water demand compared to current levels. Results for Soy10 indicate that the assumed protein shift could free up around 2% of Ethiopia’s physical crop area without negatively impacting water availability, and that soybean yields would be more climate resilient than cereals under the selected climate scenario. Results for MSX suggest that Ethiopia has the potential to greatly improve its current yields through production intensification. Intensification would lead to a higher total agricultural water use, but also to greater water use efficiency. Note, however, that results should be interpreted with care, as there are still some points to improve in the modelling process which could affect the results. en Wageningen Plant Research application/pdf https://research.wur.nl/en/publications/modelling-crop-yields-and-water-balances-for-ethiopia-with-lpjml 10.18174/559929 https://edepot.wur.nl/559929 Life Science (c) publisher Wageningen University & Research
institution WUR NL
collection DSpace
country Países bajos
countrycode NL
component Bibliográfico
access En linea
databasecode dig-wur-nl
tag biblioteca
region Europa del Oeste
libraryname WUR Library Netherlands
language English
topic Life Science
Life Science
spellingShingle Life Science
Life Science
Hermelink, M.I.
Conijn, J.G.
Dankers, R.
Modelling crop yields and water balances for Ethiopia with LPJmL
description Ethiopia faces climate changes that could impact its food and water security. This report describes the modelling of crop production and water balances for two separate studies on Ethiopia using the Lund Potsdam Jena managed Land (LPJmL) model. For the project Soy10 we modelled the effect of a 10% shift in protein source from cereals to soybean on land use and water demand, and explored how resilient these crop’s yields would be to climate change. For the project Multiple Scales and Extreme Events (MSX) we modelled Ethiopia’s crop yields at the rainfed potential level and the corresponding water demand compared to current levels. Results for Soy10 indicate that the assumed protein shift could free up around 2% of Ethiopia’s physical crop area without negatively impacting water availability, and that soybean yields would be more climate resilient than cereals under the selected climate scenario. Results for MSX suggest that Ethiopia has the potential to greatly improve its current yields through production intensification. Intensification would lead to a higher total agricultural water use, but also to greater water use efficiency. Note, however, that results should be interpreted with care, as there are still some points to improve in the modelling process which could affect the results.
format External research report
topic_facet Life Science
author Hermelink, M.I.
Conijn, J.G.
Dankers, R.
author_facet Hermelink, M.I.
Conijn, J.G.
Dankers, R.
author_sort Hermelink, M.I.
title Modelling crop yields and water balances for Ethiopia with LPJmL
title_short Modelling crop yields and water balances for Ethiopia with LPJmL
title_full Modelling crop yields and water balances for Ethiopia with LPJmL
title_fullStr Modelling crop yields and water balances for Ethiopia with LPJmL
title_full_unstemmed Modelling crop yields and water balances for Ethiopia with LPJmL
title_sort modelling crop yields and water balances for ethiopia with lpjml
publisher Wageningen Plant Research
url https://research.wur.nl/en/publications/modelling-crop-yields-and-water-balances-for-ethiopia-with-lpjml
work_keys_str_mv AT hermelinkmi modellingcropyieldsandwaterbalancesforethiopiawithlpjml
AT conijnjg modellingcropyieldsandwaterbalancesforethiopiawithlpjml
AT dankersr modellingcropyieldsandwaterbalancesforethiopiawithlpjml
_version_ 1819143369840918528