Necesidades Hidricas Del Trigo En Escenarios Climaticos Futuros

Agroclim-Map, a GIS Application for Agroclimatic Systems Analysis

C. A, González1, H, Moutahir2, M, Herrera1, L, Zayas1, I, Touhami2, J.F, Bellot2

1 The Higher Institute of Technologies and Applied Sciences (InSTEC), Havana, Cuba, andarcio@gmail.com

2 Department of Ecology, University of Alicante, Alicante, Spain, hassane_moutahir@yahoo.fr



Abstract. This work gives a technicaldescription of Agroclim-Map which is a GIS application for agroclimatic systems analysis. Agroclim-Map is software which allows the computation of various agroclimatic models and indexes. The outputs of these models are used as inputs for post processing methods (statistic and geostatistic processing). The final products are tables, graphics and maps which make the interpretation of the analysisresults easier. As an application of the Agroclim-Map software we present a case study of the spatial distribution and temporal variability of the potential productivity index (PPI) of some crops at a regional scale in the province of Alicante (SE Spain) under different climate change scenarios.

Keywords: Agroclim-Map, GIS application, Agroclimatic system, zonification

Topics: Web application,GIS and Open Sources.



1. Introduction.

Growth and development of field crops are strongly affected by the climate conditions as well as by extreme weather events. These may have severe consequences both for crops directly and for key field operations (i.e. sowing and harvest timing). Farming will remain weather-dependent activity even under changed climate conditions [1].

Theinternet provides free access to masses of information about climate and the environment, and increasingly accurate weather and climate predictions. But ways are needed to better translate raw information into accessible forms that are understandable and relevant to agricultural decision-making [2]. The tool Agroclim-Map allows the calculation of different agro meteorological indices from timeseries data measured or predicted at stations or specific points, the resulting information is handled using post-processing optimization methods (statistic and geostatistic) to make finals products (like tables or maps) with the integrated information, thus the interpretation and analysis result easier.

In this work its present the software Agroclim-Map and an application at a case study of thespatial distribution and temporal variability of the potential productivity index (PPI) for barley (Hordeum vulgare) and winter wheat (Triticum aestivum L.) at a regional scale in the province of Alicante (SE Spain) under different climate change scenarios.

2. Developing.

1. Technical description of Agroclim-Map

Agroclim-Map is carried out using a modular philosophy through the paradigmof object-oriented programming so that new modules can be easily added. Also special care was taken in the design of graphic user interface to be easy and intuitive without dismiss classic format of geographic information systems.

1. Data structure

In general, indices and models present in Agroclim-Map did not require many parameters, making possible to use them in areas with lack ofinformation, developing countries and in climate change scenarios.

The data is structured as follows: I-Domain Data: frontier, polygons and points or stations; II-Stations Data: time series of meteorological data associated with the stations (eg precipitation, reference evapotranspiration, temperature) and soils data (eg, field capacity, soil type) III-Crop Data: physiology of crops to be analyzed(eg, root depth, crop coefficient and the factor of effect of phenological stage on yield, agricultural calendar), IV-Raster Map: used as output and at internal procedures.

Modules were implemented for graphical editing of data, as a basic editor for custom vector maps, an editor of agricultural calendars and tables for the entry of the climatic series, and soil- plant parameters.

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