H2020 PROTEAN Project: Prospective Environmental Assessment of Emerging Urban Agriculture Systems
- Type Project
- Status Filled
- Execution 2019 -2022
- Assigned Budget 172.932,48 €
- Scope Europeo
- Main source of financing H2020
- Project website PROTEAN
More and more city dwellers are experimenting with herbs and leafy greens in their gardens or on their balconies. The urban agriculture movement, which ranges from vertical farming to green roofs, has established itself as a more sustainable alternative to traditional rural agricultural systems in terms of energy and water consumption.
The EU-funded PROTEAN project will develop environmental impact assessment models for urban and rural agriculture. This will help identify parameters that can make urban agriculture more environmentally sustainable in the future. The results will be crucial for policymakers and for the design of support intervention mechanisms.
Urban and peri-urban agriculture (UA) has emerged as a more sustainable alternative for food production. UA has several types of emerging systems (ES) that are growing exponentially from experimental to industrial scale. UA-ES include vertical farming, rooftop greenhouses, local firewood sheds, and more.
UA-ES are expected to reach mature levels of development in the medium- to long-term future and are designed to recirculate and minimize resource use (e.g., nutrients, water, substrates, and CO2) for low-carbon food production in cities, among other benefits. Therefore, UA-ES are expected to provide more sustainable food production compared to more traditional rural agricultural systems in terms of energy and water use, as well as benefits for air quality and biodiversity in cities. Understanding and quantifying the effective contribution that UA-ES will make to the environmental sustainability of cities requires the ability to assess the environmental impacts of UA-ES in the future and compare them with the impacts of traditional agriculture in the same future context.
The PROspective Environmental Assessment of Emerging Urban Agricultural Systems (PROTEAN) project will focus on developing time-explicit environmental impact assessment models for both urban agricultural systems and traditional agriculture to determine the extent to which urban agricultural systems can contribute to the sustainability of future food production. These ex ante, time-explicit environmental impact assessments will also help identify influencing system parameters that can make urban agricultural systems more environmentally sustainable in the future.
Therefore, future unintended environmental impacts, costs, and effects can be more easily avoided for ES-UAs than for mature agricultural systems. Providing assertive guidance on how to improve ES-UAs depends on our current ability to understand the key drivers of change that may drive the future impacts of these systems.
The Contribution of Urban Agriculture to Environmental Sustainability A time-explicit environmental impact assessment clarifies the significant role of urban agriculture in future food supply. Urban agriculture consists of the cultivation, processing, and distribution of food in or around urban areas. It includes a complex and diverse combination of food production, such as vertical farming and green roofs. Compared to more traditional agricultural systems in terms of energy and water consumption, it has emerged as a more sustainable alternative for food production. Quantifying the effective contribution of urban agriculture to the environmental sustainability of cities requires the ability to both assess its future environmental impacts and compare them with those of traditional agriculture in the same context.
In line with this need, the EU-funded PROTEAN project, supported by the Marie Skłodowska-Curie Actions (MSCA) programme, set out to develop prospective life-cycle databases to estimate the future impacts of food production. “In this way, PROTEAN will make it possible to compare food production through conventional and urban agriculture, all going forward,” explains MSCA Fellow Angélica Mendoza. Building Life-Cycle Databases At its core, PROTEAN sought to provide a systematic method for coupling two datasets for prospective life-cycle databases.
The first dataset came from internationally relevant models dedicated to calculating climate change scenarios under different socioeconomic trajectories, the so-called integrated assessment models.
The second dataset describes the life cycle of product systems, the so-called life cycle inventory (LCI) databases. “Coupling them makes it easier to calculate more robust prospective life cycle assessments (LCAs), as prospective LCI databases account for expected changes in major economic sectors in the future,” adds Mendoza. Key insights for urban planners and policymakers: “We first discovered that there was a huge societal need to quantify the future impacts of products, as we strive to manage the climate crisis and other situations that have pushed planetary boundaries,” confirms Mendoza. Furthermore, PROTEAN realized that few quantitative tools could provide such an assessment; from there, the importance of developing prospective LCI and LCA databases became clear. “We also learned that not only was the temporal dimension important, but the spatial dimension was also particularly important in the case of peri-urban agriculture,” adds Mendoza.
The geographic visualization of inventory flows and impacts plays an important role in understanding urban resilience, global sustainability, and the multifunctionality of urban agriculture as a nature-based solution. This is vital information for urban planners and policymakers. “Therefore, we ended up applying and further developing regionalized prospective LCA methodologies,” Mendoza confirms.
The added value of peri-urban agriculture PROTEAN focused on the applications of methodological development for the Barcelona metropolitan area. "We realized that primary data, i.e., field data, are scarce and dispersed, so we believe that, in the short and medium term, calibrating our models with primary data is essential to verify the conclusions," notes Mendoza. In the long term, the project aims to complete the assessment of the increase in peri-urban agricultural areas, as proposed by the Urban Development Plan for the metropolitan area. "We hope that in this spatio-temporal LCA we can understand the added value of peri-urban agriculture with respect to imported food and its role in the circularity of the city," concludes Mendoza.
- UNIVERSITAT AUTONOMA DE BARCELONA (UAB)