Articles | Volume 6, issue 3
https://doi.org/10.5194/se-6-903-2015
https://doi.org/10.5194/se-6-903-2015
Research article
 | 
28 Jul 2015
Research article |  | 28 Jul 2015

A Web-based spatial decision supporting system for land management and soil conservation

F. Terribile, A. Agrillo, A. Bonfante, G. Buscemi, M. Colandrea, A. D'Antonio, R. De Mascellis, C. De Michele, G. Langella, P. Manna, L. Marotta, F. A. Mileti, L. Minieri, N. Orefice, S. Valentini, S. Vingiani, and A. Basile

Abstract. Today it is evident that there are many contrasting demands on our landscape (e.g. food security, more sustainable agriculture, higher income in rural areas, etc.) as well as many land degradation problems.

It has been proved that providing operational answers to these demands and problems is extremely difficult.

Here we aim to demonstrate that a spatial decision support system based on geospatial cyberinfrastructure (GCI) can address all of the above, so producing a smart system for supporting decision making for agriculture, forestry, and urban planning with respect to the landscape.

In this paper, we discuss methods and results of a special kind of GCI architecture, one that is highly focused on land management and soil conservation. The system allows us to obtain dynamic, multidisciplinary, multiscale, and multifunctional answers to agriculture, forestry, and urban planning issues through the Web. The system has been applied to and tested in an area of about 20 000 ha in the south of Italy, within the framework of a European LIFE+ project (SOILCONSWEB).

The paper reports – as a case study – results from two different applications dealing with agriculture (olive growth tool) and environmental protection (soil capability to protect groundwater).

Developed with the help of end users, the system is starting to be adopted by local communities. The system indirectly explores a change of paradigm for soil and landscape scientists. Indeed, the potential benefit is shown of overcoming current disciplinary fragmentation over landscape issues by offering – through a smart Web-based system – truly integrated geospatial knowledge that may be directly and freely used by any end user (www.landconsultingweb.eu). This may help bridge the last very important divide between scientists working on the landscape and end users.

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Short summary
Here we aim to demonstrate that a dpatial decision support system based on geospatial cyberinfrastructure (GCI) can profitably address many contrasting demands on our landscape concerning agriculture and environment as well as many land degradation problems. In this paper, we discuss methods and results of a special kind of GCI architecture, highly focused on soil and land conservation, developed in the framework of the SOILCONSWEB LIFE+ project.