4.6 Article

Inter-annual variations of vegetation dynamics to climate change in Ordos, Inner Mongolia, China

期刊

PLOS ONE
卷 17, 期 11, 页码 -

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PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0264263

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资金

  1. National Key Research and Development Program of China [2021YFB3901104]
  2. Special Fund of Chinese Central Government for Basic Scientific Research Operations in Commonweal Research Institute [GYZX210506]

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The study reveals that the temperature in the Ordos region is increasing, while the increase in precipitation is much smaller than the increase in potential evapotranspiration. The vegetation index shows a significant positive trend, but its correlation with climate variables at the annual scale is not significant. The increase in grassland and decrease in desert are identified as the main factors contributing to the increase in vegetation index. The climate change in the region is characterized by changes in temperature, humidity, and radiant energy.
To reveal the characteristics of climate change and the controlling factors for vegetation dynamics in the Ordos, Inner Mongolia, China, 34 years (1982-2015) of regional climate variables and vegetation dynamics were investigated. The results show that: Annual mean air temperature (TMP) significantly increased with a linear slope of 0.473 degrees C/10yr. Annual precipitation (PRE) had a non-significant positive trend nearly 5 times lower than the trend of potential evapotranspiration (PET). The average Normalized Difference Vegetation Index (NDVI) computed for the region was found to show a significant positive trend (6.131x10(-4)/yr). However, all climate variables displayed non-significant correlations with NDVI at annual scale. The reduction of desert and the increase of grassland over the past decades were accountable for the increased NDVI. Principal components analysis revealed that the regional climate change can be characterized as changes in temperature, humidity and the availability of radiant energy. Based on principal components regression coefficients, NDVI was mostly sensitive to humidity component, followed by growing season warmth (WMI). Spatially, 93.1% of the pixels displayed positive trend and 61.8% of the pixels displayed significant change over the past decades. Both principal regression analysis and partial correlation analysis revealed that NDVI in eastern part of Ordos was sensitive to TMP, whereas, NDVI in southern and western areas of Ordos displayed the high sensitivity to combined effects of PRE and cloud coverage (CLD). Partial correlation analyses also revealed that TMX was a surrogate for aridity, TMN was a representative of humidity, and temperature variations below the threshold of 5 degrees C (CDI) were less important than WMI. We conclude that regional climate change can be characterized by warming and increased aridity. The significant positive trend of regional NDVI and the non-significant correlations between NDVI and climate variables at annual scale suggests the hidden role of the human activities.

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