Monitoring spatio-temporal variations in vegetation coverage and linking them to climatic drivers is crucial for guiding environmental management and understanding climate change.In this study,Pearson's correlatio...Monitoring spatio-temporal variations in vegetation coverage and linking them to climatic drivers is crucial for guiding environmental management and understanding climate change.In this study,Pearson's correlation,MODIS NDVI time series,precipitation and temperature data,and extreme climate indices were used to investigate the response of vegetation to extreme climate at the monthly,seasonal,and yearly scales in the Qinling Mountains(QMs)in China from 2001 to 2020.The results indicate that vegetation coverage increased over time at a rate of 2.9×10^(-3) per year.The QMs exhibited good vegetation coverage(average NDVI?0.64),with over 64% of the area featuring NDVI values between 0.60 and 0.80.The Mean center was located in Ningshan County on the southern slope of the QMs.The spatial pattern of the annual average NDVI on the northern and southern slopes of the QMs was consistent with the seasonal average variation,with high values in the middle and low values at the edges.As transitional climate regions,the QMs exert a significant impact on vegetation.Spring maximum continuous 5-day monthly precipitation(Rx5day)and spring precipitation were the two most significant positive controlling factors affecting vegetation.Specifically,aside from water bodies,grasslands exhibited the largest response to these two factors.Good vegetation conditions in the QMs are of great significance for regulating climate and conserving water sources.Furthermore,they are important for controlling the response of vegetation to climatic conditions and,in a deeper sense,are of great significance for vegetation restoration,ecological protection,and carbon neutrality.展开更多
基金funded by Protection and Development of Climate Resources in the Qinling Mountains(23QLX003)Study on Precipitation Variation and Downscaling in the Qinling Mountains(22SKY107)Shangluo Carbon Neutralization Engineering Technology Research Center and Innovation Team of Water Resources Protection of Middle Route of South-to-North Water Diversion(SK2017-44).
文摘Monitoring spatio-temporal variations in vegetation coverage and linking them to climatic drivers is crucial for guiding environmental management and understanding climate change.In this study,Pearson's correlation,MODIS NDVI time series,precipitation and temperature data,and extreme climate indices were used to investigate the response of vegetation to extreme climate at the monthly,seasonal,and yearly scales in the Qinling Mountains(QMs)in China from 2001 to 2020.The results indicate that vegetation coverage increased over time at a rate of 2.9×10^(-3) per year.The QMs exhibited good vegetation coverage(average NDVI?0.64),with over 64% of the area featuring NDVI values between 0.60 and 0.80.The Mean center was located in Ningshan County on the southern slope of the QMs.The spatial pattern of the annual average NDVI on the northern and southern slopes of the QMs was consistent with the seasonal average variation,with high values in the middle and low values at the edges.As transitional climate regions,the QMs exert a significant impact on vegetation.Spring maximum continuous 5-day monthly precipitation(Rx5day)and spring precipitation were the two most significant positive controlling factors affecting vegetation.Specifically,aside from water bodies,grasslands exhibited the largest response to these two factors.Good vegetation conditions in the QMs are of great significance for regulating climate and conserving water sources.Furthermore,they are important for controlling the response of vegetation to climatic conditions and,in a deeper sense,are of great significance for vegetation restoration,ecological protection,and carbon neutrality.
