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  • Other Sources  (2)
  • China  (1)
  • Germany  (1)
  • John Wiley & Sons, Ltd.  (2)
  • American Meteorological Society
  • Springer Nature
  • Taylor & Francis
  • 2020-2022  (2)
  • 1890-1899
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  • Other Sources  (2)
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  • John Wiley & Sons, Ltd.  (2)
  • American Meteorological Society
  • Springer Nature
  • Taylor & Francis
  • Chichester, UK  (2)
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  • 2020-2022  (2)
  • 1890-1899
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  • 1
    Publication Date: 2021-04-21
    Description: From 10 to 12 June 2019, severe thunderstorms affected large parts of Germany. Hail larger than golf ball size caused considerable damage, especially in the Munich area where losses amount to EUR 1 billion. This event thus ranks among the ten most expensive hail events in Europe in the last 40 years. Atmospheric blocking in combination with a moist, unstably stratified air mass provided an excellent setting for the development of severe, hail‐producing thunderstorms across the country. image
    Description: German Research Foundation http://dx.doi.org/10.13039/501100001659
    Keywords: 551.5 ; Germany ; thunderstorms ; hailstorm
    Type: article
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  • 2
    Publication Date: 2021-06-28
    Description: Changes in land management and climate alter vegetation dynamics, but the determinants of vegetation changes often remain elusive, especially in global drylands. Here we assess the determinants of grassland greenness on the Mongolian Plateau, one of the world's largest grassland biomes, which covers Mongolia and the province of Inner Mongolia in China. We use spatial panel regressions to quantify the impact of precipitation, temperature, radiation, and the intensity of livestock grazing on the normalized difference vegetation indices (NDVI) during the growing seasons from 1982 to 2015 at the county level. The results suggest that the Mongolian Plateau experienced vegetation greening from 1982 to 2015. Precipitation and animal density were the most influential factors contributing to higher NDVI on the grasslands of Inner Mongolia and Mongolia. Our results highlight the dominant effect of climate variability, and especially of the precipitation variability, on the grassland greenness in Mongolian drylands. The findings challenge the common belief that higher grazing pressure is the key driver for land degradation. The analysis exemplifies how representative wall‐to‐wall results for large areas can be attained from exploring space–time data and adds empirical insights to the puzzling relationship between grazing intensity and vegetation growth in dryland areas.
    Description: European Union's Framework Programme for Research and Innovation ‐ Horizon 2020 (2014‐2020)
    Description: Alexander von Humboldt Foundation of Germany
    Keywords: 333.7 ; China ; climate change ; grassland ; livestock grazing ; NDVI ; spatial panel regression ; vegetation growth
    Type: article
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