A Regional 100 m Soil Grid-Based Geographic Decision Support System to Support the Planning of New Sustainable Vineyards

Author:

Barbetti Roberto1ORCID,Criscuoli Irene23,Valboa Giuseppe3,Vignozzi Nadia3,Pellegrini Sergio3ORCID,Andrenelli Maria Costanza3,L’Abate Giovanni3,Fantappiè Maria3,Orlandini Alessandro3ORCID,Lachi Andrea3,Gardin Lorenzo4,D’Avino Lorenzo3ORCID

Affiliation:

1. CREA Research Centre for Forestry and Wood, 0142 Casale Monferrato, Italy

2. CREA Research Centre for Agricultural Policies and Bioeconomy, 00184 Rome, Italy

3. CREA Research Centre for Agriculture and Environment, 50125 Florence, Italy

4. CNR-IBIMET National Research Council of Italy, Institute for BioEconomy, 50019 Florence, Italy

Abstract

A WebGis tool called GoProsit has been developed to support winegrowers in planning a new sustainable vineyard and in the identification of high-quality terroir in Tuscany, Central Italy, by providing various information on soils, climate, hydrological risks, and fertilization. GoProsit, hosted by the web platform GEAPP, is a free, user-friendly, and interactive Geographic Decision Support System (GDSS). Soil data behind the WebGis tool has a 1 ha resolution, achieved by processing the legacy vector-type soil database of the Tuscany Region with the DSMART (Disaggregation and Harmonization of Soil Map Units Through Resampled Classification Trees as supervised classification) algorithm, which disaggregated the map to 297,023 vineyard grid cells. Each grid cell holds climatic and pedologic information, along with physical and chemical features for each horizon of the most probable soil. GoProsit also provides soil maps in image format obtained by georeferencing about 50 historical soil maps (1969–2012). Finally, GoProsit runs and returns the outputs of six models: (a) carbon footprint, (b) potential erosion and maximum vine row length compatible with tolerable erosion, (c) potential water stress, (d) risk of runoff/waterlogging, (e) identification of suitable rootstocks, and (f) nutritional needs before planting. Statistics of the main model results for the investigated area are reported. This promising tool will soon be usable for the whole Italian territory; however, its potential makes it suitable for use in any wine-growing district.

Funder

EIP-AGRI

Regione Toscana

Viticoltura sub-project

Publisher

MDPI AG

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