Implementation of a web-based system for monitoring and simulation of arid zones in northwestern Mexico. Region of Mexico

IF 2.6 3区环境科学与生态学 Q2 ECOLOGY

Ecological Modelling Pub Date : 2025-02-01 DOI:10.1016/j.ecolmodel.2025.111024

Lidia Yadira Perez-Aguilar , Wenseslao Plata-Rocha , Sergio Alberto Monjardin-Armenta , Ramon Fernando López-Osorio

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引用次数: 0

Abstract

Aridity occurs due to natural factors like droughts, changing weather patterns, and fluctuations in precipitation and temperature, impacting agriculture, wildlife, the economy, and the environment. Monitoring these phenomena is vital for understanding their impact on past, present, and future arid zones. The purpose of this project was to create a web-based geotechnological platform for monitoring arid regions in northwest Mexico (SADEW-AridMonitor). A key component of the methodology involved integrating various computational tools, including web servers, map servers, database servers, programming languages, geographic information system libraries, and web development tools. The web platform handled all geoprocessing tasks and displayed maps of arid regions along with related data. Consequently, the platform generates maps of dry areas in the past, present, and future. Additionally, users have the option to download arid zone maps and associated factors, which can be viewed in any Geographic Information Systems software.

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来源期刊

Ecological Modelling 环境科学-生态学

CiteScore

5.60

自引率

6.50%

发文量

259

审稿时长

69 days

期刊介绍： The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).