In India, the production of rice and wheat account for more than 80% of its total agricultural water use. As farming is highly dependent on water availability, rapidly receding water levels require urgent measures to manage withdrawals.
The achievement of several sustainable development goals and the Paris Climate Agreement depends on rapid progress towards sustainable food and land systems in all countries.
The food and land use sector is a major contributor to India's total greenhouse gas (GHG) emissions.
Water resources management is a critical issue in Africa where many regions are subjected to sequential droughts and floods.
Rice cultivation in the NLPR regions has moved to higher latitudes.
The intensification of crop production has been identified as one of the major drivers of environmental degradation.
Wheat (Triticum aestivum) is the most widely grown food crop in the world threatened by future climate change.
To date, projections of human migration induced by sea-level change (SLC) largely suggest large-scale displacement away from vulnerable coastlines.
The recent adoption of the Global Compact on Refugees formally recognizes not only the importance of supporting the nearly 26 million people who have sought asylum from conflict and persecution but also of easing the pressures on receiving areas a
Weather shocks, such as heatwaves, droughts, and excess rainfall, are a major cause of crop yield losses and food insecurity worldwide.
Insight into how the rice production system responds to external driving factors, both climate and socioeconomic.
Ecologically-based tactics that control pests, support resilience, safeguard productivity, & help stabilize commodity markets.
Effects of climatic and land management factors using the harvested area gap (HAG)--the amount of harvested area that can be gained if all existing cropland is harvested frequently.
Previous studies have combined climate, crop and economic models to examine the impact of climate change on agricultural production and food security, but results have varied widely due to differences in models, scenarios and input data.