Monitoring the long term vegetation phenology change in Northeast China from 1982 to 2015

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.

The Response of Vegetation Phenology and Productivity to Drought in Semi-Arid Regions of Northern China

“…The Double Logistic function was used for fitting the NDVI time series curve. The fitted equitation is as follows [52,53]:…”

Discrepancies in vegetation phenology trends and shift patterns in different climatic zones in middle and eastern Eurasia between 1982 and 2015

“…The new generation of the NDVI dataset added percentile data and recovered NDVI negative values of snow‐covered regions in the winter at high latitudes in the Northern Hemisphere. The NDVI 3g dataset has been widely applied for the quantification of long‐term changes in vegetation growth (Piao et al, ; Shen et al, ; Wu & Liu, ; Xia et al, ; Yu et al, ; Yu, Liu, et al, ).…”

“…The study used the latest and longest release of GIMMS NDVI 3g version 1 dataset, which was provided by the Global Inventory The NDVI 3g dataset has been widely applied for the quantification of long-term changes in vegetation growth Shen et al, 2018;Wu & Liu, 2013;Xia et al, 2018;Yu et al, 2017;Yu, Liu, et al, 2013a).…”

Current issues in tropical phenology: a synthesis

“…, Yu et al . ). Research in this arena recognizes large‐scale processes as both drivers of and responses to climate change, asking how the phenology of large areas of vegetation influences local weather, carbon cycling, and water cycles (Makarieva et al .…”

“…The climate change line of enquiry in phenology concentrated first on long-term species-level studies (Fitter et al 1995, Menzel et al 2006, but now focusses on landscape-level proxies for leaf phenology, derived from satellite remote sensing (e.g., Myneni et al 2007, Yu et al 2015. Research in this arena recognizes large-scale processes as both drivers of and responses to climate change, asking how the phenology of large areas of vegetation influences local weather, carbon cycling, and water cycles (Makarieva et al 2014, Richardson et al 2013, as well as how reproduction or leafing responds to local climate (Krishnaswamy et al 2014, Myneni et al 2007, Streher et al 2017, Zhou et al 2014.…”