Abstract
Global warming has contributed to the extension of the growing season in North Hemisphere. In this paper, we investigated the spatial characteristics of the date of the start of the season (SOS), the date of the end of the season (EOS) and the length of the season (LOS) and their change trends from 1982 to 2015 in Northeast China. Our results showed that there was a significant advance of SOS and a significant delay of EOS, especially in the north part of Northeast China. For the average change slope of EOS in the study area, the delay trend was 0.25 d/y, which was more obvious than the advance trend of −0.13 d/y from the SOS. In particular, the LOS of deciduous needleleaf forest (DNF) and grassland increased with a trend of 0.63 d/y and 0.66 d/y from 1982 to 2015, indicating the growth season increased 21.42 and 22.44 days in a 34-year period, respectively. However, few negative signals were detected nearby Hulun Lake, suggesting that the continuous climate warming in the future may bring no longer growing periods for the grass in the semiarid areas as the drought caused by climate warming may limit the vegetation growth.
Highlights
Vegetation phenology is an important indicator for monitoring changes in the climate and natural environment[1,2,3]
The extracted start of the season (SOS) were slightly higher, and the extracted end of the season (EOS) were slightly lower than were those from stations, suggesting that the extracted growing season was shorter than that from the stations, which was consistent with the above analysis
Our results showed similar trends at longer temporal scales from 1982 to 2015
Summary
Vegetation phenology is an important indicator for monitoring changes in the climate and natural environment[1,2,3]. The methods used to detect the start and end of the growing season based on time series NDVI data mainly contains the following categories: dynamic or static threshold method[19,20], maximum slope method[21], curve fitting method[22,23] and empirical regression equation method[24] Among these methods, some are difficult to apply on the regional scale and are limited by the local experience parameters of the study area, while others lack of enough analysis of the phenological patterns for specific ecosystems but can obtain regional and even global-scale phenological patterns[25]. This study can provide definite evidence for global climate change and natural environment change
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