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Development of Integrated Web-Based Land Decision Support System Aiming Towards the Implementation of Policies for Agriculture and Environment

Periodic Reporting for period 1 - LANDSUPPORT (Development of Integrated Web-Based Land Decision Support System Aiming Towards the Implementation of Policies for Agriculture and Environment)

Reporting period: 2018-05-01 to 2019-10-31

What is the problem/issue being addressed?
LANDSUPPORT aims at building a smart geoSpatial Decision Support System (S-DSS) providing a powerful set of trans-disciplinary decision supporting tools – that will be open and freely accessible through the web devoted to sustainable agriculture and environment protection.

Why is it important for society?
Several DSS have been developed in the last decades to provide a support to environmental policy making, agriculture and land use management. However, current approaches are often too simple, and available DSS are scale-specific and monodisciplinary – thus hardly adaptable to different contexts and territorial scales. In LANDSUPPORT we aim to reconcile grand agriculture and environmental sustainability policy ambitions with operational reality addressing the overlooked support for planning and management actions at the very local scale.

What are the overall objectives?
The LANDSUPPORT GeoSpatial Decision Support System aims to complete the following main objectives: (i) support sustainable agriculture and forestry, (ii) evaluate their interaction and trade-off with other land uses, including spatial planning and (iii) support the achievement of selected CAP and 2030 SDG’s land policies of both EU and UN agenda (SDG 2,3,13,15), with special emphasis to the key SDG15.3 “achieving a land degradation-neutral world” (LDN) and climate change (CC) mitigation and adaptation goals.
The LANDSUPPORT S-DSS tools will be applied across 4 geographic scales: European Union, 3 Nations (Italy, Hungary, Austria), 3 European Regions (Campania region (IT), Zala County (HU), Marchfeld (AT)), 3 local sites (Valle Telesina (IT), Keszthely (HU), RMEL (Tunisia))
The project is proceeding along the chrono-program. All Deliverables and Milestone have been fulfilled and some deviations have been implemented to enable the project to overcome some issues.
Databases (WP2), Modelling (WP3), EO data (WP4) and GUI (WP5) are proceeding as expected following the timeline for tool development. Thus, the technical and scientific results achieved are in tune with the tools to be delivered.

A synoptic self-evident view of our current results (at the time of this Reporting) is provided observing the list of the following tools (family of tools and meso-tools):
1. Land Take (European scale)
2. Viticulture (Regional scale)
3. Agroclimatic services (Regional scale)
4. Agrotourism (Regional scale)
5. Ecotourism (Regional scale)
6. Viticulture (Local scale)
7. Olive grove (Local scale)
8. Best Practices (Local scale)
9. Groundwater protection (Local scale)
10. Forest (Local scale)
The following items are treated as connection between (i) progress beyond the state of the art, (ii) expected results until the end of the project and (iii) potential impacts:
• Overcoming the fragmentation and incompleteness in the implementation of land planning and management policies by providing a unique, interactive, smart multi-objective Geospatial CyberInfrastructure platform, freely accessible on the web, that produce multi-
functional/users/scales S-DSS tools addressing multiple objectives.
• Applying a systemic approach compatible with existing databases and tools used at the EC and contributing to their improvement.
• Tackling agriculture/environmental problems over large areas (e.g. Europe, Country) while preserving a relatively high spatial detail, thus enabling land management at local scale. This is achieved by implementing a nested multi-scale approach in which modules of
the modelling chain can be chosen according to the scale of interest, filling the gap between large scale issues and local scale policies implementation and actions. This is achieved thanks to the use of the state-of-the-art in computer science and technologies
(datacube, COMPs, GPU technologies) which allows to optimally address (i) the spatial extent (e.g. Country/Region scale) versus the spatial detail (e.g. results at cadastral scale) trade-off and (ii) the opportunity to run models bridging the gap between large areas,
policies implementation and local actions.
• Applying effective participative multi-actor approach, including all relevant stakeholders and developing landscape awareness tools.
• Bridging the divide between local practitioners and researchers will enable the reconciliation of environmental policy requirements with local agriculture communities by providing operational support to farmers for sustainable farm management,
• Converting research into useful knowledge and practices and the task of transferring research knowledge and practice to farmers, particularly smallholder farmers, is an intrinsic feature of the LANDSUPPORT platform that will strengthen the capacities of farmers to
make use of new agricultural knowledge and putting into operation the ‘quantified farmer’ concept (farmers who has access to hard figures about his/her business to guide his/her decision making).
• Optimizing land management techniques and improvement of agriculture resilience to climate change (adaptation and mitigation strategies).
• LANDSUPPORT expects an increase in the economic competitiveness of (i) participating SMEs after the acquisition of new competences and support in R&D activities and (ii) many local business activities (e.g. spatial planners, agri-tourism, eco-tourism
working at the local and regional scales), including those participating in the SHG (INU, AGRITURIST), will benefit at local and regional scales from the availability of the LANDSUPPORT platform
The LANDSUPPORT platform with the family of tools available at the time of this 1st Reporting.
The LANDSUPPORT car symbolizes the many different features that also the DSS should fulfill.