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  • India
  • 2020-2022  (2)
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  • 1
    Publication Date: 2021-06-30
    Description: Dry and wet extremes affect agricultural production, infrastructure, and socioeconomic well‐being of about 1.4 billion people in India. Despite the profound implications of dry and wet extremes, their changes in the observed and projected climate in India are not well quantified. Here, using the observations from multiple sources, we show that the area affected by dry extremes during the monsoon season (June–September) and water‐year (June–May) has significantly increased (~1% per decade; p value 〈 0.05) over the last six decades (1951–2015) in India. On the other hand, the area affected by wet extremes does not exhibit any significant trend over the same time period. Dry and wet extremes in the monsoon season are corroborated with the positive phase and negative phase of the sea surface temperature (SST) anomalies in the tropical Pacific Ocean (Niño 3.4 region). Global climate models (GCMs) project an increase of more than 25–30% (±3–6%) in the combined area affected by the dry and wet extremes in India by the end of the 21st century. The frequency of both dry and wet extreme years is also projected to increase in the majority of India (〉80%) under a warmer world if the global mean temperature rises above 1.5°C (or 2°C) from a preindustrial level. Moreover, the population exposed to the dry and wet extremes is likely to increase threefold under the projected 2°C warmer world. Therefore, limiting global mean temperature rise below 2°C can substantially reduce the area and population exposure due to dry and wet extremes in India.
    Description: Key Points: The area affected by dry extremes has significantly increased (~1% per decade) during 1951–2015 in India Climate models project increase in the combined area affected by the dry and wet extremes in India (25–30%) by the end of the 21st century The population exposed to the dry and wet extremes is likely to increase threefold under a (2°C) warmer world climate
    Description: Ministry of Earth Sciences (MoES) http://dx.doi.org/10.13039/501100001851
    Keywords: 551.6 ; dry extremes ; wet extremes ; CMIP5 ; population exposure ; SPEI ; India
    Type: article
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  • 2
    Publication Date: 2021-10-06
    Description: India has the second largest population in the world and is characterized by a broad diversity in climate, topography, flora, fauna, land use, and socioeconomic conditions. To help ensure food security in the future, agricultural systems will have to respond to global change drivers such as population growth, changing dietary habits, and climate change. However, alterations of how food is produced in the future may conflict with other UN Sustainable Development Goals (SDGs), such as the protection of land resources and climate change mitigation. It is crucial for decision-makers to understand potential trade-offs between these goals to find a balance of human needs and environmental impacts. In this paper, we analyze pathways of agricultural productivity, land use, and land-cover changes in India until 2030 and their impacts on terrestrial biodiversity and carbon storage. The results show that in order to meet future food production demands, agricultural lands are likely to expand, and existing farmlands need to be intensified. However, both processes will result in biodiversity losses. At the same time, the projections reveal carbon stock increases due to intensification processes and decreases due to conversions of natural land into agriculture. On balance, we find that carbon stocks increase with the scenarios of future agricultural productivity as modeled here. In conclusion, we regard further agricultural intensification as a crucial element to help ensure food security and to slow down the expansion of cropland and pasture. At the same time, policies are required to implement this intensification in a way that minimizes biodiversity losses.
    Keywords: 333.7313 ; SDGs ; Land use change ; India ; Biodiversity ; Carbon sequestration ; Agricultural development
    Language: English
    Type: map
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