Abstract

Northeast China is located at high northern latitudes and is a typical region of relatively high sensitivity to global climate change. Studies of the land surface phenology in Northeast China and its response to climate change are important for understanding global climate change. In this study, the land surface phenology parameters were calculated using the third generation dataset from the Global Inventory Modeling and Mapping Studies (GIMMS 3g) that was collected from 1982 to 2013 were estimated to analyze the variations of the land surface phenology in Northeast China at different scales and to discuss the internal relationships between phenology and climate change. We examined the phonological changes of all ecoregions. The average start of the growing season (SOS) did not exhibit a significant trend throughout the study area; however, the end of the growing season (EOS) was significantly delayed by 4.1 days or 0.13 days/year (p < 0.05) over the past 32 years. The SOS for the Hulunbuir Plain, Greater Khingan Mountains and Lesser Khingan Mountains was earlier, and the SOS for the Sanjing, Songnen and Liaohe Plains was later. In addition, the EOS of the Greater Khingan Mountains, Lesser Khingan Mountains and Changbai Mountains was later than the EOS of the Liaohe Plain. The spring temperature had the greatest impact on the SOS. Precipitation had an insignificant impact on forest SOS and a relatively large impact on grassland SOS. The EOS was affected by both temperature and precipitation. Furthermore, although temperature had a lag effect on the EOS, no significant lag effect was observed for the SOS.

Highlights

  • Land surface phenology (LSP) is an important index of natural environmental factors, including climate, and can visually indicate natural seasonal changes and show the responses and adaptations of plants to natural environmental changes

  • This study shows that precipitation has a lagging effect on the start of the growing season (SOS), the amounts of precipitation in different months affect the end of the growing season (EOS), the distributions of different vegetation types depend on precipitation, and the largest and smallest impacts are observed for grasslands and forests, respectively

  • The land surface phenology parameters of Northeast China were extracted from the Global Inventory Modeling and Mapping Studies (GIMMS) NDVI 3g dataset that was collected from 1982 to 2013 to analyze the characteristics of land surface phenology changes at several scales and the effects of temperature and precipitation on land surface phenology

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Summary

Introduction

Land surface phenology (LSP) is an important index of natural environmental factors, including climate, and can visually indicate natural seasonal changes and show the responses and adaptations of plants to natural environmental changes. LSP does not describe the physiological cycle for individual plants but assesses the vegetation activity during the growing season at the ecosystem level [1]. Phenophase and growing season have been observed globally, and an increasing number of scientific studies have shown that climate change has a significant impact on changes in Remote Sens. Numerous types of vegetation adapt to climate change by changing their phenological conditions in different seasons. Research on land surface phenology responses to climate change is becoming a new area of focus in the field of phenology and has drawn international attention. In 1985, Justice et al [7] extracted vegetation phenological information from the National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR)

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