Assessing and mapping urban ecological resilience using the loss-gain approach: A case study of Tehran, Iran

Shamsipour, Aliakbar; Jahanshahi, Shayesteh; Mousavi, Seyed Sajad; Shoja, Faeze; Ansari Golenji, Roghayeh; Tayebi, Safiyeh; Alavi, Seyed Ali; Sharifi, Ayyoob

doi:10.1016/j.scs.2024.105252

Cited by 8 publications

(3 citation statements)

References 77 publications

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“…This research introduces novel methods for assessing ecological resilience in the Wuling Mountains and similar ecologically vulnerable regions, offering useful insights for ecological conservation and rehabilitation. Most of the existing findings measure ecological resilience by constructing a comprehensive indicator system [31,32,47,48,56,57], which requires more data and is less operational for ecological resilience studies at long time scales. In this paper, NDVI is used as a proxy for ecological resilience, and the ecological resilience index is measured using NDVI data from 2000 to 2020, which enriches the case of ecological resilience research in ecologically fragile areas and expands the scope of ecological resilience proxy selection.…”

Section: Discussionmentioning

confidence: 99%

“…The effects of population density and GDP on ecological resilience in the Wuling Mountains area show an increasing trend. Population density and economic development have been found to have a negative impact on ecological resilience [57], and ecological resilience is significantly lower in areas with high population density [48]. Therefore, the Wuling Mountains region should actively address both the impact of climatic factors on ecological resilience and the impact of population and economic development on ecological resilience.…”

Section: Discussionmentioning

confidence: 99%

“…The average GDP of a region reflects its economic development level and influences ecological resilience [16,46]. The proportion of built-up land area can reflect the extent to which people develop and utilize the land [48]. Carbon dioxide emissions reflect the regional green economy and sustainable development level [21,49].…”

Section: Selection Of Influencing Factorsmentioning

confidence: 99%

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Spatio-Temporal Evolution of Ecological Resilience in Ecologically Fragile Areas and Its Influencing Factors: A Case Study of the Wuling Mountains Area, China

Wu,

Yang,

Zuo

et al. 2024

Sustainability

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The ecological environment of the Wuling Mountains region has been impacted by climate change and economic development, necessitating immediate reinforcement of ecological protection and restoration measures. The study utilized the normalized vegetation index (NDVI) as a proxy for ecological resilience. NDVI data from 2000 to 2020 were employed to compute the ecological resilience index of the Wuling Mountains area and to examine its spatial and temporal evolution as well as the factors influencing it. The findings indicate that: (1) The ecological resilience index increased in the Wuling Mountains area and Guizhou, Chongqing, and Hunan sub-areas but decreased in the Hubei sub-area. (2) The ecological resilience varies significantly in the Wuling Mountains area and the Guizhou, Hubei, and Hunan sub-regions, whereas it varies less in the Chongqing sub-region. (3) The primary elements influencing the ecological resilience capability of the Wuling Mountains area and its four sub-areas are climate conditions and socio-economic factors, respectively. The study can offer a scientific foundation for ecological conservation and restoration efforts in the Wuling Mountains area, as well as serve as a benchmark for measuring ecological resilience in other environmentally vulnerable regions.

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