Decadal Variations in NDVI and Food Production in India

Milesi, C.; Samanta, A. K.; Hashimoto, Hirofumi; Kumar, Kireet; Ganguly, Sangram; Thenkabail, Prasad S.; Srivastava, Ashok N.; Nemani, Ramakrishna R.; Myneni, Ranga B.

doi:10.3390/rs2030758

Cited by 68 publications

(57 citation statements)

References 34 publications

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“…The increase of PET and changes in precipitation patterns under a warming climate are leading to an increase in global aridity and expansion of global drylands, and thus an increase in the population affected by water scarcity (Milesi et al, 2010). Extensive land use and other human activities may further amplify these changes (Reynolds et al, 2007).…”

Section: Discussion and Summarymentioning

confidence: 99%

Expansion of global drylands under a warming climate

2013

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Abstract. Global drylands encompassing hyper-arid, arid, semiarid, and dry subhumid areas cover about 41 percent of the earth's terrestrial surface and are home to more than a third of the world's population. By analyzing observations for 1948-2008 and climate model simulations for 1948-2100, we show that global drylands have expanded in the last sixty years and will continue to expand in the 21st century. By the end of this century, the world's drylands (under a high greenhouse gas emission scenario) are projected to be 5.8 × 10 6 km 2 (or 10 %) larger than in the 1961-1990 climatology. The major expansion of arid regions will occur over southwest North America, the northern fringe of Africa, southern Africa, and Australia, while major expansions of semiarid regions will occur over the north side of the Mediterranean, southern Africa, and North and South America. The global dryland expansions will increase the population affected by water scarcity and land degradations.

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Section: Discussion and Summarymentioning

confidence: 99%

Expansion of global drylands under a warming climate

2013

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“…Particularly, land management practices such as irrigation and fertilization contribute to a significant fraction of the NDVI variability in croplands [68].…”

Section: Significant Drivers Of Ndvi Variancementioning

confidence: 99%

Evaluating and Quantifying the Climate-Driven Interannual Variability in Global Inventory Modeling and Mapping Studies (GIMMS) Normalized Difference Vegetation Index (NDVI3g) at Global Scales

et al. 2013

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Satellite observations of surface reflected solar radiation contain information about variability in the absorption of solar radiation by vegetation. Understanding the causes of variability is important for models that use these data to drive land surface fluxes or for benchmarking prognostic vegetation models. Here we evaluated the interannual variability in the new 30.5-year long global satellite-derived surface reflectance index data, Global Inventory Modeling and Mapping Studies normalized difference vegetation index (GIMMS NDVI3g). Pearson's correlation and multiple linear stepwise regression analyses were applied to quantify the NDVI interannual variability driven by climate anomalies, and to evaluate the effects of potential interference (snow, aerosols and clouds) on the NDVI signal. We found ecologically plausible strong controls on NDVI variability by antecedent precipitation and current monthly temperature with distinct spatial patterns. Precipitation correlations were strongest for temperate to tropical water limited herbaceous systems where in some regions and seasons > 40% of the NDVI variance could be explained by precipitation anomalies. Temperature correlations were strongest in northern mid-to high-latitudes in the spring and early summer where up to 70% of the NDVI variance was OPEN ACCESSRemote Sens. 2013, 5 3919 explained by temperature anomalies. We find that, in western and central North America, winter-spring precipitation determines early summer growth while more recent precipitation controls NDVI variability in late summer. In contrast, current or prior wet season precipitation anomalies were correlated with all months of NDVI in sub-tropical herbaceous vegetation. Snow, aerosols and clouds as well as unexplained phenomena still account for part of the NDVI variance despite corrections. Nevertheless, this study demonstrates that GIMMS NDVI3g represents real responses of vegetation to climate variability that are useful for global models.

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“…Drylands occupy about 41% of the global terrestrial surface and are home to more than a third of the world's population (Mortimore, 2009). Moreover, the increase of potential evapotranspiration and the changes of the precipitation patterns under a warming climate are leading to a growing global aridity and expansion of drylands (Milesi et al, 2010). Therefore, interest in crop tolerance to environmental stresses has been growing since the last few decades (Tuberosa and Salvi, 2006).…”

Section: Introductionmentioning

confidence: 99%

The impact of over-expression of NPK1 gene on growth and yield of sorghum under drought stress

Assem¹,

Zamzam²,

Saad³

et al. 2017

Afr. J. Biotechnol.

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Sorghum bicolor L. is an important crop in many tropical regions, yet it has received little attention in applying modern biotechnologies for improvement due to transformation difficulties. Drought is among the most important factors limiting sorghum productivity. The Nicotina Protein Kinase 1 (NPK1) gene confers tolerance to adverse environmental conditions. The present work was conducted to determine the amenability of sorghum genotypes to Agrobacterium-mediated transformation with the NPK1 gene and to characterize the role of that gene in S. bicolor. The NPK1 gene along with the bar gene was successfully introduced into two sorghum genotypes: Dorado and SPGM94021. The transformation frequencies were 1.49 and 1.79% for Dorado and SPGM94021, respectively. Stable integration of the transgenes in T0 and T1 plants was confirmed through polymerase chain reaction (PCR) and Southern blotting. The NPK1 gene expression was measured through real-time-PCR. T1 plants tested in vitro for tolerance to mannitol osmotic stress maintaining a higher growth rate and showed increased tolerance to stress conditions compared to the nontransgenic plants. The transgenic sorghum had a significantly higher kernel weight under drought stress conditions than the control plants. Accordingly, the NPK1 gene might induce a mechanism that protects sorghum plants against possible water-deficiency stress conditions.

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Decadal Variations in NDVI and Food Production in India

Cited by 68 publications

References 34 publications

Expansion of global drylands under a warming climate

Expansion of global drylands under a warming climate

Evaluating and Quantifying the Climate-Driven Interannual Variability in Global Inventory Modeling and Mapping Studies (GIMMS) Normalized Difference Vegetation Index (NDVI3g) at Global Scales

The impact of over-expression of NPK1 gene on growth and yield of sorghum under drought stress

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