Lorenzo Villani

Vrije Universiteit Brussel
Country flagBelgium

Research Interests

Explore related searches

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Articles (10)

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Water resources management is fundamental for rural communities in drylands, where water harvesting technologies (WHT) can be used for intercepting surface runoff and storing water in soils. The so‐called “Marab” WHT was initially developed by Middle Eastern agro‐pastoralists that reside or commute in semi‐arid and arid rangelands. The Marab WHT is a macro‐catchment measure consisting of earth dams and stone spillways along the contours of a lowland depression or floodplain. Dependent on the local context (i.e., climate, soil, management, etc.), the established Marabs show highly variable effectiveness and little scientific evidence is supporting the scaling out of the technology. This study aims at filling the knowledge gap on the Marab performance in different environments by simulating its hydro‐agrological effects for different soils and climatic conditions using the AquaCrop model. A case study performed for a Jordanian Marab over three seasons (2019–2022) confirms its huge improvement potential for barley production. Through Marab‐based farming, barley production reached 8.37 t ha −1 on average, versus highly variable 0.34 t ha −1 without the WHT. The simulation‐based assessment of soil textures identified that silty soils have the largest potential for producing up to 9.25 t ha −1 barley, compared to 6.60 t ha −1 produced in clay soils. Assessing different climate scenarios, a slight increase in daily average temperatures (+0.5°C) led to a considerable production decline of 4%–8%, while a significant reduction of precipitation (−20%) decreased biomass production by a similar rate (4%–10%). This underlines the robustness of the “Marab” WHT to rainfall amount variation. However, simulations also highlight the sensitivity of timing and frequency of flood events: removing the last and the first flood event reduced biomass production by approximately 50% and 80%, respectively, while the barley fails to develop if both events were suppressed.

Year:

2023

Year:

2022

Year:

2022

Collaborators (10)

Albert Nkwasa

Vrije Universiteit Brussel

BELGIUM
View details

Giorgio Boni

Associate Professor

Università degli Studi di Torino

ITALY
View details

Katoria Lekarkar

Vrije Universiteit Brussel

BELGIUM
View details

Silvia De Angeli

Université de Lorraine

FRANCE
View details

Stefan Strohmeier

BOKU University

AUSTRIA
View details

Bert Van Schaeybroeck

Ghent University

BELGIUM
View details

Estifanos Addisu Yimer

Vrije Universiteit Brussel

BELGIUM
View details

Giulio Castelli

-

ITALY
View details

Celray James CHAWANDA

Vrije Universiteit Brussel

BELGIUM
View details

Ann van Griensven

Vrije Universiteit Brussel

BELGIUM
View details
ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.