景观生态风险及其驱动因素的时空评估——以德里为例

IF 1.3 Q4 ENVIRONMENTAL STUDIES
B. Mondal, Pragya Sharma, Debolina Kundu, Sarita Bansal
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引用次数: 11

摘要

城市化被认为是全球土地利用和土地覆盖(LULC)变化的关键驱动因素,德里也不例外。德里的人口几乎翻了一番,从1991年的840万增加到2011年的1630万。相应的,建成区面积也从1999-2018年的336.82 km2增加到598.22 km2。这种城市扩张导致了严重的生态风险和景观破碎化。在这方面,必须分析这种城市扩张所引起的风险程度及其与其他因素的潜在联系。本文利用Landsat 5 (TM)和Landsat 8 (OLI)数据量化了1999-2018年德里的LULC变化。将景观破碎化评分与土地利用、土地覆盖脆弱性评分相结合,建立了城市扩张的时空风险评价指标。景观破碎化得分基于4个景观指标,而脆弱性得分是根据LULC数据计算的。文章还评估了风险区域与经济活动、环境和基础设施设施之间的关系,这些被认为是德里城市扩张的关键驱动力。利用普通最小二乘回归和地理加权回归(GWR)估算风险区域与关键驱动因素之间的时空变异性。GWR研究结果显示,德里城市扩张引发的生态风险与经济活动、基础设施可达性和环境便利程度密切相关。这一空间实证评估还表明,如果地方当局在不考虑相关风险的情况下武断地跨空间提供道路、地铁、学校和医院等城市增长激励措施或服务,也会对景观造成压力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatio-temporal Assessment of Landscape Ecological Risk and Associated Drivers: A Case Study of Delhi
Urbanization is considered as the key driver for land use and land cover (LULC) changes across the globe and Delhi is no exception to this phenomenon. The population of Delhi has almost doubled from 8.4 million in 1991 to 16.3 million in 2011. Correspondingly, the built-up area has also increased from 336.82 to 598.22 km 2 during 1999–2018. This urban expansion has led to emergence of serious ecological risk and fragmentation of the landscape. In this context, it is imperative to analyse the level of risks induced by such urban expansion and its underlying associations with other factors. This article quantifies the LULC changes in Delhi during 1999–2018 using Landsat 5 (TM) and Landsat 8 (OLI) data. A spatio-temporal sprawl induced risk assessment index has been developed by combining landscape fragmentation score and land use land cover vulnerability score. The landscape fragmentation score was based on four landscape metrics, whereas the vulnerability score was computed from LULC data. The article also assesses the association between risk areas and economic activities, environmental and infrastructural amenities that are considered key drivers of urban expansion in Delhi. To estimate spatio-temporal variability between risk areas and key drivers, ordinary least square regression and geographical weighted regression (GWR) were used. The GWR results reveal that sprawl-induced ecological risk in Delhi is strongly associated with economic activity, infrastructural accessibility and environmental amenities. This spatial empirical assessment also shows that urban growth incentives or services such as roads, metro rail, schools and hospitals can also create pressure on the landscape if local authorities arbitrarily provide these services across space without considering the associated risks.
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来源期刊
Environment and Urbanization ASIA
Environment and Urbanization ASIA ENVIRONMENTAL STUDIES-
CiteScore
2.70
自引率
0.00%
发文量
24
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