Project description
Predicting the future of soil health under pressure
The protection of soil health is essential for maintaining ecosystem services, supporting agriculture, and enhancing climate resilience. However, predicting the effects of human activities and environmental change on soils remains a significant challenge. The EU-funded PHISHES project addresses this challenge by developing a quantitative, predictive approach to soil health. By combining simulation models and data integration, it evaluates how land use, contamination, and climate change influence soil functions and ecosystem services. A central digital platform supports scenario analysis of management and restoration options, including the modelling of agricultural practices, restoration measures, and pollution prevention strategies. The resulting insights contribute to improved, evidence-based soil management and policy development at the European level.
Objective
PHISHES aims to bridge the missing link between data on soil health and actions for the safeguard of soils. This missing link entails predictive capability in terms of the consequences of actions on the provision of soil functions and associated ecosystem services, taking into account soil use, soil contamination and various drivers such as climate change. Hence the primary scientific question addressed in PHISHES is: “How do soil use and soil contamination influence soil functions and associated ecosystem services, in the presence of major drivers such as climate change, and how can we predict the impacts of mitigation and adaptation measures?”. While most research teams address this question in a qualitative / semi-quantitative fashion, using, e.g. multicriteria analysis and indicators of soil health, the ambition of PHISHES is to provide quantitative predictive capability via a PHISHES Digital Platform. To achieve this, PHISHES will build upon several pre-existing integrated simulation tools; in particular the MIKE SHE model that provides a flexible framework for integrated hydrologic modelling and the DAISY model, a well-tested mechanistic agro-ecological model of the soil-plant-atmosphere system. The efficient coupling between such models will significantly enhance the ability to assess the impact of changes in land use on soil ecosystem services. It will serve to assess the influence of various actions on soil services; i.e. sustainable agricultural practices (e.g. hedge rows to retain moisture and reduce erosion; no-till agriculture, crop rotation, ...) of land restoration / remediation solutions (e.g. nature-based solutions), pollution prevention solutions, etc. The results of the scenario simulations will be tranlated into recommendations regarding policies aimed at preserving soil health and promoting soil functions and associated ecostem services. The PHISHES consortium brings together competencies from soil science to hydrology and policy making.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences earth and related environmental sciences soil sciences
- natural sciences earth and related environmental sciences hydrology
- natural sciences biological sciences ecology ecosystems
- natural sciences earth and related environmental sciences atmospheric sciences climatology climatic changes
- natural sciences computer and information sciences software software applications simulation software
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.2.6 - Food, Bioeconomy Natural Resources, Agriculture and Environment
MAIN PROGRAMME
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HORIZON.2.2 - Culture, creativity and inclusive society
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HORIZON.2.4 - Digital, Industry and Space
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HORIZON.2.3 - Civil Security for Society
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-RIA - HORIZON Research and Innovation Actions
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MISS-2023-SOIL-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
2970 Hoersholm
Denmark
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.