LIU Wei, JIAO Shulin. Characteristics of Extreme Climate Change in Karst Basin and Its Impact on NDVI[J]. 2022, 36(5): 220-232.
DOI:
LIU Wei, JIAO Shulin. Characteristics of Extreme Climate Change in Karst Basin and Its Impact on NDVI[J]. 2022, 36(5): 220-232. DOI: 10.13870/j.cnki.stbcxb.2022.05.028.
Characteristics of Extreme Climate Change in Karst Basin and Its Impact on NDVI
In order to understand the temporal and spatial changes of extreme climate in Guizhou Province and its impact on NDVI of vegetation
the extreme climate index of Guizhou Province from 1961 to 2020 was analyzed by combining box chart
correlation analysis
Sen+MK and other methods. The results show that: (1) The change range of night index is larger than that of day index
the extreme high temperature index is increasing
the extreme low temperature index is decreasing
and the climate is warming as a whole. Except that the SU25 (summer days) in Chishui River Basin decreased significantly by -0.08 d/a
the high temperature index increased significantly in other basins
while the low temperature index decreased significantly. (2) The change range of magnitude index is larger than that of intensity index. The annual total precipitation is decreasing
but the heavy precipitation and extremely heavy precipitation events are increasing; The intensity index in the central and southern Panjiang River Basin failed to pass the significance test
and the magnitude index had the largest change rate in the Yuanjiang River Basin. (3) The low values of temperature and precipitation persistence index are concentrated in Niulan River and Hengjiang River Basin; CSDI (cold duration index)
WSDI (heat duration index) and CDD (continuous drying index) failed to pass the significance test; GSL (crop growth period) increased significantly at 0.26 d/a. (4) In recent 21 years
extreme high temperature index mainly promoted vegetation growth and was most affected by TN90P (warm night days); The extreme low temperature index was mainly inhibited and was most affected by TN10P (cold night days); The temperature persistence index is mainly promoted and is most affected by WSDI. Among the extreme precipitation indexes
the precipitation intensity and magnitude indexes are mainly promoted and are most affected by R25 mm (days above heavy rain) and R99P (extremely strong precipitation). The precipitation persistence index is mainly inhibited and is greatly affected by CDD (continuous drying index).
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references
Fischer E M, Knutti R. Anthropogenic contribution to global occurrence of heavy-precipitation and high-temperature extremes[J].Nature Climate Change,2015,5(6):560-564.
杨方兴.内蒙古地区极端气候事件时空变化及其与NDVI的相关性[D].西安:长安大学,2012.
Stocker T, Plattner G K, Dahe Q. IPCC climate change 2013:The physical science basis-findings and lessons learned//EGU General Assembly Conference Abstracts, 2014:e17003.
Li L C, Zou Y, Li Y, et al. Trends, change points and spatial variability in extreme precipitation events from 1961 to 2017 in China[J].Hydrology Research,2020,51(3):484-504.
Alba G G, Eugenio D P, Agustín R, et al. Both altitude and vegetation affect temperature sensitivity of soil organic matter decomposition in Mediterranean high mountain soils[J].Geoderma,2015,237/238:1-8.
Li C, Wang J, Hu R, et al. Relationship between vegetation change and extreme climate indices on the Inner Mongolia Plateau, China, from 1982 to 2013[J].Ecological Indicators,2018,89:101-109.
Tan Z Q, Tao H, Jiang J H, et al. Influences of climate extremes on NDVI (normalized difference vegetation index) in the Poyang Lake Basin, China[J].Wetlands,2015,35(6):1033-1042.