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Climate extremes, such as droughts or heat waves, can lead to harvest failures and threaten the livelihoods of agricultural producers and the food security of communities worldwide. Improving our understanding of their impacts on crop yields is crucial to enhance the resilience of the global food system.

In order to overcome limitations of climate projections from Global Climate Models (GCMs), such as coarse spatial resolution and biases, in this study, the Statistical Down-Scaling Model (SDSM) is used to downscale daily precipitation and maximum and minimum temperature (T-max and T-min) required by impact assessment models.

Using 21st century climate model projections we show that for many crop-producing regions, average precipitation will change by more than the long-term natural variability, even under a low-emission scenario. However, emissions compatible with the Paris Agreement can significantly reduce cropped land affected.

The Integrated Food Security Phase Classification (IPC) is a common global scale for classifying the severity and magnitude of food insecurity and malnutrition.

Pocket Book of Agricultural Statistics, an abridged version of `Agricultural Statistics at a Glance"m serves as a quick reference guide to all essential data relating to agricultural sector. This edition of Pocket Book takes forward continuous endeavor to incorporate information on the emerging areas of concern relating to agriculture sector. The edition includes updated information on all the key indicators of agriculture and allied sector along with progress under various new initiatives of the Government, viz.

The purpose of this study is to propose the Bayesian Network (BN) model to estimate flood peak from Atmospheric Ensemble Forecasts (AEFs). The Weather Research and Forecasting model was used to simulate historic storms using five cumulus parameterization schemes.

Glaciers in the Satluj river basin in western Himalaya are likely to lose 33% of their area by 2050 and 81% by the end of the century, under Representative Concentration Pathway - RCP 8.5 scenario, based on the output from CNRM-CM5 and GFDL-CM3 climate models respectively.

The Zimbabwean government has warned that the 2018-19 agricultural season will be a tough one with farmers having so far failed to adequately make land preparations and to plant crops because of er

Despite the lack of robust empirical evidence, a growing number of media reports attempt to link climate change to the ongoing violent conflicts in Syria and other parts of the world, as well as to the migration crisis in Europe. Exploiting bilateral data on asylum seeking applications for 157 countries over the period 2006–2015, we assess the determinants of refugee flows using a gravity model which accounts for endogenous selection in order to examine the causal link between climate, conflict and forced migration.

The present study was undertaken with aim to understand the perceptions of indigenous communities about climate change pattern and its local impacts on climate variables, seasons, agriculture, biodiversity and adaptive strategies in geographical and technological-isolated Pangi valley situated in Chamba district, Himachal Pradesh.

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