Work Package 5

Sustainable Intensification Indicators

Objective

Tasks and role of partners

Partners involved: UNISS, ACRA, IRD, UNB, INERA, UNIMAK, CSIR-SARI, KDC, KALRO, UoN, NM-AIST, TARI, HU, JU, ICRAF

WP Leader: Pierpaolo Roggero

WP Co-Leader: Anil Graves

Task 5.1: Identification of sustainable intensification indicators (M4-M40)

Lead partner: UNISS; Participants: ACRA, CRAN, IRD, UNB, INERA, UNIMAK, CSIR-SARI, KDC, KALRO, UoN, NM-AIST, TARI, JU, HU, ICRAF

A preliminary list of indicators at different scales (field/animal herd, farm/household, landscape) and for different domains (productivity, social, economic, environmental, human) will be identified at the early stages of the project through a desk study and mobilizing the expert knowledge of the project partners. An online survey will be initially proposed to the EWA-BELT partners for this latter purpose. The preliminary list of indicators will be revised along the project duration through an iterative process which will involve all the other WPs and that will be characterized by at least three dedicated workshops held once per year. Within the other WPs, in particular WP2, WP3 and WP4, with the supervision of WP5, the expert and lay knowledge on specific, relevant, measurable SI indicators will be mobilized and developed through the functioning of the FFRUs, and will be transferred to the WP5.

 

Task 5.2: Development of a composite indicator of sustainable intensification (M11-M48)

Lead partner: UNISS; Participants: ACRA, CRAN, IRD, UNB, INERA, UNIMAK, CSIR-SARI, KDC, KALRO, UoN, NM-AIST, TARI, JU, HU, ICRAF

In this Task, the SI indicators will be aggregated following the procedure proposed by Metzger et al. in 2006 for assessing the vulnerability of ecosystem services to land use change. This procedure aims to aggregate a list of indicators into several aggregation levels (determinants and components) up to a unique indicator through a fuzzy logic approach. The fuzzy-based approach requires for each indicator to identify a weight and two thresholds. The "favourable" and "unfavourable" thresholds will be derived from expert knowledge and/or survey/census/literature data. The unfavourable threshold indicates the value below/above which negative effects on SI of farming systems are expected and the favourable threshold indicates the value below/above which positive effects can be generated. The values between the two thresholds indicate a "fuzzy area" in which potential effects cannot be predicted. Finally, a synthetic SI index will be calculated.

The main objective of this work package is to identify innovative practices, oriented to the sustainable intensification (SI) of representative farming systems of different agro-climatic areas of East (Ethiopia, Kenya and Tanzania) and West (Burkina Faso, Ghana, Sierra Leone) Africa, that represent best trade-offs between production, environmental, economic and social purposes. This will be achieved through the development of an operational SI indicator-based framework relying on already proposed frameworks but implemented and improved throughout the project with the integration of expert and lay knowledge, in-field measurements, modelling approaches.

Therefore, the WP5 specific objectives are:

  • To identify a set of indicators to assess the impact of the tested innovative practices at different scales (field/animal herd, farm/household, landscape);

  • To quantify the impacts of system management on externalities such as greenhouse gas emissions, clean water availability, carbon sequestration, biodiversity and dispersal of pests, pathogens and weeds;

  • To develop a composite indicator of sustainable intensification for each studied farming systems in the range of study areas where innovative practices will be implemented.

 

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 862848

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 ewabelt@uniss.it

For Communication and Dissemination activities

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