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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实施基于网络的系统，监测和模拟墨西哥西北部干旱地区。墨西哥地区

干旱是由干旱、天气模式变化、降水和温度波动等自然因素造成的，影响农业、野生动物、经济和环境。监测这些现象对于了解它们对过去、现在和未来干旱区的影响至关重要。该项目的目的是创建一个基于网络的地质技术平台，用于监测墨西哥西北部干旱地区（SADEW-AridMonitor）。该方法的一个关键组成部分涉及集成各种计算工具，包括web服务器、地图服务器、数据库服务器、编程语言、地理信息系统库和web开发工具。该网络平台处理所有地理处理任务，并显示干旱地区的地图以及相关数据。因此，该平台生成过去、现在和未来干旱地区的地图。此外，用户还可以选择下载干旱区地图和相关因素，这些地图可以在任何地理信息系统软件中查看。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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/).