Risk assessment of sustainable intensification of Zimbabweans farming systems under climate change adaptation and resilience building perspective

Submitted by valentin.pret on
    Organizational Context
    Name
    Valentin Pret
    Chairgroup
    PLANT PRODUCTION SYSTEM (PPS)
    Graduate school
    PE & RC
    Start date of project
    Abstract

    This research is done within the RAIZ project. It aims to assess the climatic risk related to the sustainable intensification of cropping system and its impact on the resilience of smallholder farms in sub-humid Zimbabwe. On-farms trials are conducted during two cropping seasons to assess the performance of sustainable intensification options on rainfed cropping systems and to calibrate the Stics mechanistic crop model. This crop model is used to conduct a virtual experiment to assess the impact climate interannual variability on the performance of rainfed cropping systems over 20 years. A framework to assess the resilience of smallholder farms is developed based on a review of the literature and applied to different farm types to assess their resilience according to farm’s context and the adoption of sustainable intensification options. Focus group discussions are organized to collect farmers’ feedbacks on the sustainable intensification options performance, the results of the virtual experiment and the resilience assessment.

    Who's collecting the data

    The data are collected by the PhD student Valentin Pret.

    Who's analysing the data

    The data will be analyzed by the PhD student Valentin Pret, by  Gatien Falconnier – Cirad researcher (supervisor) and by Benjamin Heuclin – Cirad statistician.  

    Dataset name (or reference)

     

    Dataset name (or reference)

     

    Description

    Geographic origin

     

    Geographic origin

     

    Time period

     

    Temporal coverage

    Dataset manager

    Dataset leader

     

    Data storage and access

    Data storage and access[1]

    Modelling_SI

    Simulations of sustainable intensification options performances for 20 years climatic series (yield, nitrogen content, nitrogen leaching, etc.)

    Virtual experiment

    March 2023 – end of RAIZ

    Gatien Falconnier, UR AIDA, CIRAD

    Personal computer, external hard drive

    Farmes_perceptions_SI

    Farmers' perceptions on sustainable intensification options performances under current growing season and 20 years climatic series, constraints and levers for adoption at farm scale

    Murehwa district – ward 28 – Manjonjo, Makombe and Chitemerere villages

    March 2023 – March 2024

    Gatien Falconnier, UR AIDA, CIRAD

    Personal computer, external hard drive

    Soil_ data_SI

    Basic soil characteristics (texture, SOC, total N, P, pH…) down to 1.80m depth

    Murehwa district – ward 28 – Manjonjo, Makombe and Chitemerere villages

    November 2022- end of RAIZ

    Gatien Falconnier, UR AIDA, CIRAD

    Personal computer, external hard drive

    Soil_nitrogen_data_SI

    Regular soil mineral nitrogen measurements up to 1.60m

    Murehwa district – ward 28 – Manjonjo, Makombe and Chitemerere villages

    November 2022- April 2023

    Gatien Falconnier, UR AIDA, CIRAD

    Personal computer, external hard drive

    Crop_data_SI

    Regular leaf area index, crop phenology  measurements, biomass at flowering and harvest, crop yield at harvest, biomass and nitrogen content at flowering and harvest, biological nitrogen fixation at flowering and harvest for legumes

    Murehwa district – ward 28 – Manjonjo, Makombe and Chitemerere villages

    November 2022-May 2023

    Gatien Falconnier, UR AIDA, CIRAD

    Personal computer, external hard drive

    Weather_SI

    Continuous measurement of weather data (rainfall, air temperature, air humidity, wind speed, etc) using a weather station and raingauges

    Murehwa district – ward 28 – Manjonjo, Makombe and Chitemerere villages

    November 2022-October 2023

    Gatien Falconnier, UR AIDA, CIRAD

    Persnnal computer, external hard drive

    Water_dynamics_SI

    Continuous soil moisture measurements every 10 cm up to 1.80m depth using a Trime probe on red and sandy soils

    Sustainable intensification trials in Murehwa district – ward 28 – Manjonjo, Makombe and Chitemerere villages

    November 2021-July 2023

    Gatien Falconnier, UR AIDA, CIRAD

    Personal computer, external hard drive


     

     

    Location short term storage

    All data will be stored on my local harddisk in a folder called Thesis.

    Within this Thesis folder, I'll create per chapter the folders: DataModelPaper and Scripts. The Data folder has two sub-folders called: Raw and Processed.

    Folder contents:

    • Data - Raw sub-folder: Contains all raw data and meta-data (a description of your data).
    • Data - Processed sub-folder: Contains all processed data. 
    • Model folder: Complete listing of the model and the model results & analysis.
    • Paper folder: Text of a chapter / paper.  
    • Scripts folder: Contains all scripts used.
    Backup procedure

    The complete content of my local Thesis folder will be stored on my YoDa-drive. 

    During periods I'm abroad, I'll backup the complete content of my local Thesis folder to a Dropbox or MS-Onedrive Thesis folder and share the contents with my supervisor(s). 

    Research data with value for long term storage

    - Data from on-farms trials conducted during two cropping seasons (including soil and crop analysis)
    - Calibration files of the STICS crop model
    - Simulations outputs of the virtual experiment processed with the Stics crop model over 20 years 

    Plans for sharing data?

    Data sharing policy within the RAIZ project is being developed but not yet completed. The objective is to share as much as possible of the data after the publication of the results from their analysis. (except for farmers personal data)

    How to access data once you leave?

    Gatien Falconnier (supervisor) will be the keeper of the data at the end of the PhD. Some of the data might be published on a dataverse after publication of the results.