A land evaluation decision support system (MicroLEIS DSS) for agricultural soil protection

Mayol, F.; Díaz-Pereira, Elvira; Fernández, Ma Jesús; Rosa, Diego de la

doi:10.1016/j.envsoft.2003.10.006

Cited by 168 publications

(114 citation statements)

References 21 publications

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“…This research is part of a global project for developing a land evaluation tool for predicting SOC pool under scenarios of land use and climate change, as a new component of the MicroLEIS Decision Support System De la Rosa et al, 2004).…”

Section: Muñoz-rojas Et Al: Organic Carbon Stocks In Mediterraneamentioning

confidence: 99%

Organic carbon stocks in Mediterranean soil types under different land uses (Southern Spain)

et al. 2012

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Abstract. Soil C sequestration through changes in land use and management is one of the sustainable and long-term strategies to mitigate climate change. This research explores and quantifies the role of soil and land use as determinants of the ability of soils to store C along Mediterranean systems. Detailed studies of soil organic C (SOC) dynamics are necessary in order to identify factors determining fluctuations and intensity of changes. In this study, SOC contents from different soil and land use types have been investigated in Andalusia (Southern Spain). We have used soil information from different databases, as well as land use digital maps, climate databases and digital elevation models. The average SOC content for each soil control section (0-25, 25-50 and 50-75 cm) was determined and SOC stocks were calculated for each combination of soil and land use type, using soil and land cover maps. The total organic C stocks in soils of Andalusia is 415 Tg for the upper 75 cm, with average values ranging from 15.9 Mg C ha −1 (Solonchaks under "arable land") to 107.6 Mg C ha −1 (Fluvisols from "wetlands"). Up to 55 % of SOC accumulates in the top 25 cm of soil (229.7 Tg). This research constitutes a preliminary assessment for modelling SOC stock under scenarios of land use and climate change.

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Section: Muñoz-rojas Et Al: Organic Carbon Stocks In Mediterraneamentioning

confidence: 99%

Organic carbon stocks in Mediterranean soil types under different land uses (Southern Spain)

et al. 2012

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“…However, and in order to improve it, it is necessary to incorporate other interpretive models of soil such as MicroLEIS DSS system (De la Rosa et al, 2004), the models of the support system for decisionmaking for nutrient management (Osmond et al, 2002) and environmental assessment models, using the ground as permitiendo que el usuario establezca fácilmente el resultado de la evaluación (Figura 6). Para proveer un alto nivel de confiabilidad en su ejecución y en los resultados, el software incluye las siguientes funciones:…”

Section: Evaluation Of Soil Functions Based On Profilesunclassified

“…Sin embargo, y con el fin de mejorarlo, es necesaria la incorporación de otros modelos interpretativos de suelos como los del sistema MicroLEIS DSS (De la Rosa et al, 2004), los modelos del sistema de apoyo a la toma de decisiones para el manejo de nutrimentos (Osmond et al, 2002) y los modelos de evaluación ambientales, utilizando al suelo como reactor (Aguilar et al, 2011).…”

Section: Evaluation Of Soil Functions Based On Profilesunclassified

SOFTWARE PARA LA EVALUACIÓN DE LAS FUNCIONES AMBIENTALES DE LOS SUELOS (Assofu)

Gallegos-Tavera¹,

Bautista²,

Alvarez³

2014

Rev Cha Se Cie For y del Amb

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RESUMENE l análisis interpretativo de las funciones del suelo es fundamental para su buen uso y manejo. La evaluación de las funciones ha transitado de la parte teórica a la práctica con los esquemas de los modelos de evaluación TUSEC (Técnicas para la evaluación de los suelos y categorización para suelos naturales y antropogénicos). Por otro lado, los modelos interpretativos de suelos orientados a la agricultura y con objetivos ambientales, como los del sistema informático MicroLEIS DSS (Sistema de apoyo a la decisión sobre evaluación de tierras para la protección de suelos agrícolas), han sido los más utilizados en el mundo. Sin embargo, pocos modelos sobre las funciones del suelo han sido incluidos en un software, por lo que la operación manual de éstos puede conducir a errores e imprecisiones. El objetivo de este trabajo fue la elaboración de un software que incluyera las ventajas del sistema MicroLEIS y del modelo TUSEC, considerando un uso más amigable para el usuario. El software Assessment Soil Functions (Assofu) almacena las propiedades de perfiles de suelo como datos de entrada y, con base en esta información, sistematiza la aplicación de evaluaciones de funciones de los suelos. ABSTRACTT he interpretive analysis of soil functions is essential for its proper use and handling. The evaluation of these soil functions evolved from the theoretical to the practical with the outlines of the method "Technique for soil evaluation and categorization for natural and anthropogenic soils". On other hand, the soil interpretive models oriented to agriculture and environmental objectives, such as MicroLEIS DSS (Land evaluation decision support system for agricultural soil protection) have been the most used in the world, however, few models of soil functions are included in software so its manual handling can lead to errors and inaccuracies. The aim of this work was the development of a software system includes the advantages and benefits of MicroLEIS DSS and TUSEC models considering a more user-friendly. Assofu software stored as input the properties of soil profiles, and based on this information systematized assessments applying soil functions.

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“…Agricultural land use decisions in the selected 12 benchmark sites of Cordoba province based on MicroLEIS DSS models (De la Rosa et al, 2004) are presented in two major groups: land use planning and land use management. As shown in Table 3, land use planning decisions are supported essentially by land capability and land suitability models, and land use management decisions or soil management recommendations by land vulnerability models.…”

Section: Land Use Planningmentioning

confidence: 99%

“…Database management systems are responsible for these tasks and consist of attribute tables manipulated by relational database management systems, and a geometric component handled by geographical information systems (GIS). Rosa et al (2004). With permission) For each of these main factors, a relational database has been constructed: SDBm, CDBm, and MDBm, with inter-connectivity between the three databases.…”

Section: Environmental Data Warehousingmentioning

confidence: 99%

MicroLEIS DSS

Rosa

Anaya‐Romero

Decision Support Systems in Agriculture, Food and the Environment

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The main focus of this chapter is that using soil type information in decision making is at the heart for sustainable use and management of agricultural land. The MicroLEIS decision support system (DSS) is based on the multifunctional evaluation of biophysical soil quality, using basically input data collected in standard soil inventories, and with particular reference to the peculiarities of the Mediterranean region. Its design philosophy is a toolkit approach, integrating many software instruments: databases, statistic models, expert systems, neural networks, Web and GIS applications, and other information technologies. As a case study applying MicroLEIS DSS to Cordoba Province (Spain), soil specific strategies to maximize land productivity and to prevent land degradation are predicted within two major topics: i) strategies related to land use planning at a regional scale, and ii) strategies related to soil management planning at a farm level. This DSS has proved to be an appropriate methodology for converting knowledge on land use and management systems, as estimated by research scientists, into information that is readily comprehensible to policy makers and farmers.

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A land evaluation decision support system (MicroLEIS DSS) for agricultural soil protection

Cited by 168 publications

References 21 publications

Organic carbon stocks in Mediterranean soil types under different land uses (Southern Spain)

Organic carbon stocks in Mediterranean soil types under different land uses (Southern Spain)

SOFTWARE PARA LA EVALUACIÓN DE LAS FUNCIONES AMBIENTALES DE LOS SUELOS (Assofu)

MicroLEIS DSS

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