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Research article - Peer-reviewed, 2022

A systematic national stocktake of crop models in Morocco

Epule, Terence Epule; Chehbouni, Abdelghani; Chfadi, Tarik; Ongoma, Victor; Er-Raki, Salah; Khabba, Said; Etongo, Daniel; Martinez-Cruz, Adan L.; Molua, Ernest Lytia; Achli, Soumia; Salih, Wiam; Chuwah, Clifford; Jemo, Martin; Chairi, Ikram

Abstract

Agriculture is an important sector of the Moroccan economy, employing a huge portion of the Moroccan population and contributing about 14 - 20% to the country's GDP. Unfortunately, agricultural production in Morocco is impacted by climatic, non-climatic, biophysical, and non-biophysical stressors. Researchers have employed various crop models to understand how different crops respond to different environmental conditions such as temperature, precipitation, soil properties, fertilization, and irrigation. Unfortunately, there are no studies that provide a summary and a holistic perspective of the most frequently used models and their calibration inputs in Morocco. This work, therefore, seeks to fill these knowledge gaps by providing a summary of the most calibrated crop models, their calibration input data, the most frequently studied crops, how the studies are published (peerreview or grey literature), and the affiliations of the lead authors. This is achieved through a systematic review of the primary peer review and grey literature. A total of 68 relevant peer review and grey literature papers were considered. The results show that most of the authors are affiliated with Moroccan universities/organizations while wheat is the most studied crop. In addition, the AQUACROP and the regression-based models are the most used crop models. Additionally, most of the models are calibrated in order of importance with variables such as temperature, precipitation, soil properties, irrigation, and fertilizers. On the other hand, there is an observed increase in the use of non-climatic indicators such as poverty, farm income, and literacy levels to fit empirical models. It is still unclear how process-based models will integrate socio-economic indicators. This work has implications for future research as it provides a holistic picture of the key models that are currently used and their calibration. This information can be used by other projects to select methods to use, and crops to study based on the available data when working on crop models in Morocco, and North Africa. These results underscore the leading role in research funding offered by the government of Morocco and other organizations such as UM6P and OCP Africa in research valorization in Morocco and Africa.

Keywords

Agriculture; Wheat; Crop Models; Peer reviewed; grey literature; Morocco

Published in

Ecological Modelling
2022, volume: 470, article number: 110036

Authors' information

Epule Epule, Terence
Mohammed VI Polytechnic University
Chehbouni, Abdelghani
Mohammed VI Polytechnic University
Chfadi, Tarik
Mohammed VI Polytechnic University
Ongoma, Victor
Mohammed VI Polytechnic University
Er-Raki, Salah
Cadi Ayyad University (University of Marrakesh)
Khabba, Said
Cadi Ayyad University (University of Marrakesh)
Etongo, Daniel
University of Seychelles
Swedish University of Agricultural Sciences, Department of Forest Economics
Molua, Ernest L.
University of Buea
Achli, Soumia
Mohammed VI Polytechnic University
Salih, Wiam
Mohammed VI Polytechnic University
Chuwah, Clifford
Springer
Jemo, Martin
Mohammed VI Polytechnic University
Chairi, Ikram
Mohammed VI Polytechnic University

Associated SLU-program

SLUsystematic

Sustainable Development Goals

SDG1 End poverty in all its forms everywhere
SDG8 Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all

UKÄ Subject classification

Agricultural Science

Publication Identifiers

DOI: https://doi.org/10.1016/j.ecolmodel.2022.110036

URI (permanent link to this page)

https://res.slu.se/id/publ/117336