Effects of the asymmetric diurnal-warming on vegetation dynamics in Xinjiang
ZHAO Jie1, LIU Xue-jia2, DU Zi-qiang1, WU Zhi-tao1, XU Xiao-ming1
1. Institute of Loess Plateau, Shanxi University, Taiyuan 030006, China;
2. College of Environmental & Resource Science, Shanxi University, Taiyuan 030006, China
Based on normalized difference vegetation index (NDVI) data, vegetation type data and meteorological data, this study revealed the warming trends of the day-and nighttime in growing seasons using the unitary linear regression analysis, and analyzed different effects of the asymmetry diurnal warming on vegetation activities using the two order partial correlation analysis method. Results indicated that:there was an extremely significant trend of diurnal warming from 1982 to 2013 in Xinjiang areas. The nighttime warming was approximately 1.5times that of daytime during growing seasons. The warming rate showed an asymmetry between day-and nighttime; the effects of day-and nighttime warming on vegetation activities showed obvious differentiation. Nighttime warming had significantly stronger and more extensive effects on vegetation than daytime warming; and different vegetation types responded differently to the asymmetry warming. Daytime warming had significantly positive effects on the coniferous forest, and nighttime warming had significant positive effects on the coniferous forest, agricultural vegetation, grassland, and meadow.
Fensholt R, Proud S R. Evaluation of earth observation based global long term vegetation trends-Comparing GIMMS and MODIS global NDVI time series[J]. Remote Sensing of Environment, 2012,119:131-147.
Jiapaer G., Liang S, Yi Q, et al. Vegetation dynamics and responses to recent climate change in Xinjiang using leaf area index as an indicator[J]. Ecological Indicators, 2015,58:64-76.
Peng S S, Piao S L,Ciais P,et al. Asymmetric effects of daytime and nighttime warming on Northern Hemisphere vegetation[J]. Nature, 2013,501:88-94.
[11]
Atkin O K, Turnbull M H, Zaragoza-Castells J, et al. Light inhibition of leaf respiration as soil fertility declines along a post-glacial chronosequence in New Zealand:an analysis using the Kok method[J]. Plant and Soil, 2013,367(1):163-182.
[12]
Wan S Q, Xia J, Liu W, et al. Photosynthetic overcompensation under nocturnal warming enhances grassland carbon sequestration[J]. Ecology, 2009,90:2700-2710.
Kobayashi H, Dye D G. Atmospheric conditions for monitoring the long-term vegetation dynamics in the Amazon using normalized difference vegetation index[J]. Remote Sensing of Environment, 2005,97(4):519-525.
Solomon S, Qin D, Manning M, et al. Climate Change 2007:The physical science basis. Contribution of working group I to the fourth assessment report of the intergovernmental panel on climate change (Cambridge University Press, 2007).
[23]
Tan J G, Piao S L, Chen A P, et al. Seasonally different response of photosynthetic activity to daytime and night-time warming in the Northern Hemisphere[J]. Global Change Biology, 2015,21(1):377-87.
[24]
Welch J R, Vincent J R, Auffhammer M, et al. Rice yields in tropical/subtropical Asia exhibit large but opposing sensitivities to minimum and maximum temperatures[J]. Proceedings of the National Academy of Sciences, 2010,107(33):14562-14567.
[25]
Lobell D B. Changes in diurnal temperature range and national cereal yields[J]. Agricultural and forest meteorology, 2007,145(3):229-238.