Literature DB >> 31989313

Dynamics of atmospheric carbon dioxide over different land cover types in India.

Abha Chhabra1, Ankit Gohel2.   

Abstract

This study presents an analysis of high-resolution space borne retrievals of the column-averaged dry-air mole fraction of carbon dioxide [Formula: see text] and the role of vegetation in controlling atmospheric CO2 dynamics over the Indian region. Nadir and glint mode [Formula: see text] retrievals from the Orbiting Carbon Observatory-2 (OCO-2) spectrometer for the period September 2014-July 2017 are studied with satellite-derived normalized difference vegetation index (NDVI) and rainfall over different land cover types. The atmospheric [Formula: see text] variability shows a strong negative correlation with satellite-derived NDVI. Higher rainfall favours the vegetative growth and photosynthetic activity, thus lowers atmospheric [Formula: see text] concentration. The mean monthly [Formula: see text] over terrestrial region of India is observed as 400.18 ± 3.85 ppm with seasonal variations over different land cover types. The correlation of [Formula: see text] with NDVI over mixed forest and deciduous broadleaf forest types was estimated as - 0.86, - 0.76 (p < 0.01), respectively. The study could also highlight strong seasonal [Formula: see text] variability at higher latitudinal zones of India. It is significant to note that space-based observations indicate that atmospheric carbon dioxide levels have surpassed a significant milestone of 400 ppm in recent times. The study provides significant inputs towards improving our understanding of terrestrial biogeochemical carbon cycle over India.

Entities:  

Keywords:  India; Land cover types; NDVI; OCO-2; Rainfall

Year:  2020        PMID: 31989313     DOI: 10.1007/s10661-019-7681-z

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  2 in total

1.  Advances in terrestrial and ocean dynamics studies in India.

Authors:  M D Behera; C S Reddy; M L Khan
Journal:  Environ Monit Assess       Date:  2020-01-27       Impact factor: 2.513

2.  An empirical model for estimating daily atmospheric column-averaged CO2 concentration above São Paulo state, Brazil.

Authors:  Luis Miguel da Costa; Gustavo André de Araújo Santos; Alan Rodrigo Panosso; Glauco de Souza Rolim; Newton La Scala
Journal:  Carbon Balance Manag       Date:  2022-06-11
  2 in total

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