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• W4313481563 endingPage "102869" @default.
• W4313481563 startingPage "102869" @default.
• W4313481563 abstract "The direct effect of pandemic induced lockdown (LD) on environment is widely explored, but its secondary impacts remain largely unexplored. Therefore, we assess the response of surface greenness and photosynthetic activity to the LD-induced improvement of air quality in India. Our analysis reveals a significant improvement in air quality marked by reduced levels of aerosols (AOD, -19.27%) and Particulate Matter (PM 2.5, -23%) during LD (2020)from pre-LD (March-September months for the period 2017-2019). The vegetation exhibits a positive response, reflected by the increase in surface greenness [Enhanced Vegetation Index (EVI, +10.4%)] and photosynthetic activity [Solar Induced Fluorescence (SiF, +11%)], during LD from pre-LD that coincides with two major agricultural seasons of India; Zaid (March-May) and Kharif (June-September). In addition, the croplands show a higher response [two-fold in EVI (14.45%) and four-fold in SiF (17.7%)] than that of forests. The prolonged growing period (phenology) and high rate of photosynthesis (intensification) led to the enhanced greening during LD owing to the reduced atmospheric pollution. This study, therefore, provides new insights into the response of vegetation to the improved air quality, which would give ideas to counter the challenges of food security in the context of climate pollution, and combat global warming by more greening." @default.
• W4313481563 created "2023-01-06" @default.
• W4313481563 creator A5028196084 @default.
• W4313481563 creator A5062816334 @default.
• W4313481563 creator A5079236361 @default.
• W4313481563 date "2023-02-01" @default.
• W4313481563 modified "2023-09-27" @default.
• W4313481563 title "Improved air quality leads to enhanced vegetation growth during the COVID–19 lockdown in India" @default.
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• W4313481563 doi "https://doi.org/10.1016/j.apgeog.2022.102869" @default.
• W4313481563 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36619606" @default.
• W4313481563 hasPublicationYear "2023" @default.
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