Abstract
The rate of growth in agricultural production has been decreasing in several regions of the world in recent years. The availability of water, which is one of the main inputs, is becoming limiting and more variable. In this article, we study the sensitivity of the agroecosystem to rainfall variability in order to identify vulnerable areas. We applied a longitudinal assessment of remote sensing time-series data, using the correlation between inter-annual rainfall anomalies and anomalies in Normalized Difference Vegetation Index (NDVI), a proxy for crop production. With a novel approach, we then identified whether the sensitivity results from a variation in crop growth or from a deliberate adjustment in the cropping pattern, reflecting a coping strategy. In our case study area, the Ganges basin, 25% of the basin area showed a significant correlation (p¿
Original language | English |
---|---|
Pages (from-to) | 3066-3077 |
Number of pages | 12 |
Journal | International Journal of Climatology |
Volume | 34 |
Issue number | 10 |
DOIs | |
Publication status | Published - 2014 |
Keywords
- climate variability
- food security
- ndvi data
- india
- vegetation
- modis
- dynamics
- dataset
- areas
Fingerprint
Dive into the research topics of 'Sensitivity of the agro-ecosystem in the Ganges Basin to inter-annual rainfall variability and associated changes in land use'. Together they form a unique fingerprint.Projects
-
ESS-CC
Project: Other