This study examined the spatiotemporal impacts of climate change in Islamabad and Rawalpindi. The study included social, demographic, economic and physical susceptibility factors of the spatiotemporal impacts of climate change through land use and land-use change. The article indicates that the large population and urban structure are expanding. The Normalized Difference Vegetation Index (NDVI) results for Rawalpindi and Islamabad from 2000 to 2020 indicate a gradual degradation of overall vegetation cover, mainly due to rapid urban expansion and land-use transformation during the study period. Spatial analysis (given in the maps) reveals that natural vegetation and agricultural areas have been replaced by impervious surfaces, reducing the overall vegetative extent. These results indicate that urban growth outpaced natural vegetation regeneration, leading to an overall decline in ecosystem health and vegetation continuity across the Rawalpindi–Islamabad region. This requires authorities to have comprehensive urban planning policies for sustainability.
AdgerW. N., BrooksN., BenthamG., & AgnewM. (2004). New indicators of vulnerability and adaptive, capacity (tr7). Tyndall Centre for Climate Change Research.
2.
AghaR. J., QaisraniA. A., MughalM. L., & AsifS. (2020). COVID-19 and disaster vulnerability in Pakistan: A human rights based analysis. InNations, Pakistan, UN Member. https://www.pk.undp.org/content/pakistan/en/home/library/democratic_governance/covid-19-and-disaster-vulnerability-in-pakistan--a-human-rights-.html
3.
AhmedN. (2024). Spatial vulnerability assessment of urbanites of Rawalpindi to the combined effects of climate change and pandemics using GIS mapping. Local Environment, May, 1–19. https://doi.org/10.1080/13549839.2024.2353048
4.
BulkeleyH. (2013). Cities and climate change. InCities and climate change. Routledge. https://doi.org/10.4324/9780203077207
5.
DilS., DilN., & MakenZ. H. (2020). COVID-19 trends and forecast in the Eastern Mediterranean Region with a particular focus on Pakistan. Cureus, 12(6), 6–13. https://doi.org/10.7759/cureus.8582
6.
EstoqueR. C., OobaM., SeposoX. T., TogawaT., HijiokaY., TakahashiK., & NakamuraS. (2020). Heat health risk assessment in Philippine cities using remotely sensed data and social-ecological indicators. Nature Communications, 11(1), 1–12. https://doi.org/10.1038/s41467-020-15218-8
7.
HaiderM., HaqueN. U., TahirN. H., IqbalA., KugelmanM., NishtarS., Farrukh ChishtieJ. C., QadeerM. A., & SiddiquiT. (2014). Pakistan’s Runaway urbanization: Asia program, Woodrow Wilson International Center for Scholars. https://www.wilsoncenter.org/sites/default/files/ASIA_140502_Pakistan’sRunawayUrbanizationrpt_0530.pdf#page=30
8.
IPCC. (2023). Summary for policymakers: Synthesis Report. In AriasP., BustamanteM., ElgizouliI., FlatoG., HowdenM., Méndez-VallejoC., PereiraJ. J., Pichs-MadrugaR., RoseS. K., SahebY., RodríguezR. Sánchez, Ürge-VorsatzD., XiaoC., YassaaN., RomeroJ., KimJ., HaitesE. F., JungY., StavinsR., … PéanC. (Eds.), Climate change 2023: Synthesis Report. Contribution of Working Groups I, II and III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. https://doi.org/10.59327/IPCC/AR6-9789291691647
9.
KarrarH. H. (2013). Urbanization of everybody and social sustainability. Asia Program, Woodrow Wilson International Center for Scholars. March. https://www.wilsoncenter.org/sites/default/files/ASIA_140502_Pakistan’sRunawayUrbanizationrpt_0530.pdf#page=30
10.
KhanS. R. (2003). Adaptation, sustainable development and equity: The case of Pakistan. Climate Change, Adaptive Capacity and Development (pp. 285–315). https://doi.org/10.1142/9781860945816_0013
11.
LaukkonenJ., BlancoP. K., LenhartJ., KeinerM., CavricB., & Kinuthia-NjengaC. (2009). Combining climate change adaptation and mitigation measures at the local level. Habitat International, 33(3), 287–292. https://doi.org/10.1016/j.habitatint.2008.10.003
12.
MalikS. M., AwanH., & KhanN. (2012). Mapping vulnerability to climate change and its repercussions on human health in Pakistan. Globalization and Health, 8(1), 1. https://doi.org/10.1186/1744-8603-8-31
13.
MustafaD., & SawasA. (2013). Urbanisation and political change in Pakistan: Exploring the known unknowns. Third World Quarterly, 34(7), 1293–1304. https://doi.org/10.1080/01436597.2013.824657
14.
PrakashS., GoswamiM., KhanY. D. I., & NautiyalS. (2021). Environmental impact of Covid-19 led lockdown: A satellite data-based assessment of air quality in Indian megacities. Urban Climate, 38(June), 100900. https://doi.org/10.1016/j.uclim.2021.100900
15.
RathodA., & BeigG. (2021). Impact of biomass induced black carbon particles in cascading COVID-19. Urban Climate, 38(July), 100913. https://doi.org/10.1016/j.uclim.2021.100913
16.
SaqlainM., MunirM. M., AhmedA., TahirA. H., & KamranS. (2020). Is Pakistan prepared to tackle the coronavirus epidemic?Drugs and Therapy Perspectives, 36(5), 213–214. https://doi.org/10.1007/s40267-020-00721-1
17.
SarwarS., WaheedR., SarwarS., & KhanA. (2020). Covid-19 challenges to Pakistan: Is GIS analysis useful to draw solutions?Science of the Total Environment, 730, 139089. https://doi.org/10.1016/j.scitotenv.2020.139089
18.
SmitB., BurtonI., KleinR. J. T., & StreetR. (1999). The science of adaptation: A framework for assessment. Mitigation and Adaptation Strategies for Global Change, 4(3–4), 199–213. https://doi.org/10.1023/a:1009652531101
19.
SnyderB. F., & ParksV. (2020). Spatial variation in socio-ecological vulnerability to Covid-19 in the contiguous United States. Health and Place, 66(October), 102471. https://doi.org/10.1016/j.healthplace.2020.102471
