A remote sensing-based strategy for mapping anthropogenic urban surface ecological poorness zones (AUSEPZ): A case study of Lisbon City

IF 7.3 2区 环境科学与生态学 Q1 ECOLOGY Ecological Informatics Pub Date : 2025-03-01 Epub Date: 2024-12-24 DOI:10.1016/j.ecoinf.2024.102975
Mohammad Karimi Firozjaei , Naeim Mijani , Peter M. Atkinson
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Abstract

Anthropogenic activities play a crucial role in the formation and intensification of Urban Surface Ecological Poorness Zones (USEPZ). This study introduces a methodology for assessing the spatiotemporal fluctuations of Anthropogenic USEPZ (AUSEPZ), using Lisbon city and the Setúbal district as a case study to demonstrate its effectiveness. By integrating data from various surface characteristics through the Comprehensive Ecological Evaluation Index (CEEI), Surface Ecological Condition (SEC) maps were developed, and their spatial and temporal variations were analyzed. Additionally, a feature space was established between the Impervious Surface Percentage (ISP) and CEEI to calculate AUSEPZ intensity across different years. The findings revealed that the mean CEEI of Lisbon increased by 0.41 between 1986 and 2023. During this period, the proportions of SEC classified as Excellent, Very Good, Good, Fair, and Poor changed by −52 %, −13 %, +107 %, +444 %, and + 1134 %, respectively. The AUSEPZ intensity values for Lisbon were 0.32, 0.39, 0.46, 0.52, 0.57, and 0.63 for the years 1986, 1994, 2001, 2008, 2015, and 2023, respectively. The intensification of human activities, driven by urban expansion and population growth, has significantly contributed to the deterioration of SEC in Lisbon over recent years. These findings provide valuable insights for urban planners, policymakers, and stakeholders, enabling the design of targeted strategies to mitigate the impacts of urbanization and enhance ecological conditions in urban areas.

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基于遥感的人为城市地表生态贫困区制图策略——以里斯本市为例
人为活动在城市地表生态贫困区的形成和加剧中起着至关重要的作用。本文介绍了一种评估人为USEPZ时空波动的方法,并以里斯本市和Setúbal区为例进行了实证研究。通过综合生态评价指数(CEEI)对不同地表特征数据进行整合,建立地表生态状况(SEC)图,并对其时空变化规律进行分析。此外,在不透水面百分比(ISP)和CEEI之间建立特征空间,计算不同年份的AUSEPZ强度。结果表明,1986年至2023年间,里斯本的平均CEEI增加了0.41。在此期间,SEC被划分为优秀、非常好、良好、一般和差的比例分别变化了- 52%、- 13%、+ 107%、+ 444%和+ 1134 %。1986年、1994年、2001年、2008年、2015年和2023年,里斯本的AUSEPZ强度分别为0.32、0.39、0.46、0.52、0.57和0.63。在城市扩张和人口增长的驱动下,人类活动的加剧是近年来里斯本SEC恶化的重要原因。这些发现为城市规划者、政策制定者和利益相关者提供了有价值的见解,有助于设计有针对性的策略,以减轻城市化的影响,改善城市地区的生态条件。
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来源期刊
Ecological Informatics
Ecological Informatics 环境科学-生态学
CiteScore
8.30
自引率
11.80%
发文量
346
审稿时长
46 days
期刊介绍: The journal Ecological Informatics is devoted to the publication of high quality, peer-reviewed articles on all aspects of computational ecology, data science and biogeography. The scope of the journal takes into account the data-intensive nature of ecology, the growing capacity of information technology to access, harness and leverage complex data as well as the critical need for informing sustainable management in view of global environmental and climate change. The nature of the journal is interdisciplinary at the crossover between ecology and informatics. It focuses on novel concepts and techniques for image- and genome-based monitoring and interpretation, sensor- and multimedia-based data acquisition, internet-based data archiving and sharing, data assimilation, modelling and prediction of ecological data.
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