Trends and Variability of AVHRR-Derived NPP in India
1
Divecha Center for Climate Change and Center for Atmospheric and Oceanic Sciences, Indian Institute of Science, Bangalore 560012, India
2
Centre for Ecological Sciences, Indian Institute of Science, Bangalore 560012, India
3
Centre for Sustainable Technologies, Indian Institute of Science, Bangalore 560012, India
4
NASA Ames Research Center, Moffett Field, CA 94035, USA
*
Author to whom correspondence should be addressed.
Remote Sens. 2013, 5(2), 810-829; https://doi.org/10.3390/rs5020810
Received: 1 December 2012
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Revised: 10 January 2013
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Accepted: 14 January 2013
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Published: 15 February 2013
In this paper, we estimate the trends and variability in Advanced Very High Resolution Radiometer (AVHRR)-derived terrestrial net primary productivity (NPP) over India for the period 1982–2006. We find an increasing trend of 3.9% per decade (r = 0.78, R2 = 0.61) during the analysis period. A multivariate linear regression of NPP with temperature, precipitation, atmospheric CO2 concentration, soil water and surface solar radiation (r = 0.80, R2 = 0.65) indicates that the increasing trend is partly driven by increasing atmospheric CO2 concentration and the consequent CO2 fertilization of the ecosystems. However, human interventions may have also played a key role in the NPP increase: non-forest NPP growth is largely driven by increases in irrigated area and fertilizer use, while forest NPP is influenced by plantation and forest conservation programs. A similar multivariate regression of interannual NPP anomalies with temperature, precipitation, soil water, solar radiation and CO2 anomalies suggests that the interannual variability in NPP is primarily driven by precipitation and temperature variability. Mean seasonal NPP is largest during post-monsoon and lowest during the pre-monsoon period, thereby indicating the importance of soil moisture for vegetation productivity.
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Keywords:
AVHRR-derived NPP; vegetation productivity; CO2 fertilization; afforestation; soil water; atmospheric CO2
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MDPI and ACS Style
Bala, G.; Joshi, J.; Chaturvedi, R.K.; Gangamani, H.V.; Hashimoto, H.; Nemani, R. Trends and Variability of AVHRR-Derived NPP in India. Remote Sens. 2013, 5, 810-829. https://doi.org/10.3390/rs5020810
AMA Style
Bala G, Joshi J, Chaturvedi RK, Gangamani HV, Hashimoto H, Nemani R. Trends and Variability of AVHRR-Derived NPP in India. Remote Sensing. 2013; 5(2):810-829. https://doi.org/10.3390/rs5020810
Chicago/Turabian StyleBala, Govindasamy, Jaideep Joshi, Rajiv K. Chaturvedi, Hosahalli V. Gangamani, Hirofumi Hashimoto, and Rama Nemani. 2013. "Trends and Variability of AVHRR-Derived NPP in India" Remote Sensing 5, no. 2: 810-829. https://doi.org/10.3390/rs5020810
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