Name
Abstract | ||
|---|---|---|
Phenological change is an emerging hot topic in ecology and climate change research. Existing phenological studies in the Qinghai-Tibet Plateau (QTP) have focused on overall changes, while ignoring the different characteristics of changes in different regions. Here, we use the Global Inventory Modeling and Mapping Studies (GIMMS3g) normalized difference vegetation index (NDVI) dataset as a basis to discuss the temporal and spatial changes in vegetation phenology in the Qinghai-Tibet Plateau from 1982 to 2015. We also analyze the response mechanisms of pre-season climate factor and vegetation phenology and reveal the driving forces of the changes in vegetation phenology. The results show that: (1) the start of the growing season (SOS) and the length of the growing season (LOS) in the QTP fluctuate greatly year by year; (2) in the study area, the change in pre-season precipitation significantly affects the SOS in the northeast (p < 0.05), while, the delay in the end of the growing season (EOS) in the northeast is determined by pre-season air temperature and precipitation; (3) pre-season precipitation in April or May is the main driving force of the SOS of different vegetation, while air temperature and precipitation in the pre-season jointly affect the EOS of different vegetation. The differences in and the diversity of vegetation types together lead to complex changes in vegetation phenology across different regions within the QTP. Therefore, addressing the characteristics and impacts of changes in vegetation phenology across different regions plays an important role in ecological protection in this region. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.3390/rs13234952 | REMOTE SENSING |
Keywords | DocType | Volume |
vegetation phenology, remote sensing, air temperature, precipitation, Qinghai-Tibet Plateau | Journal | 13 |
Issue | Citations | PageRank |
23 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xigang Liu | 1 | 0 | 0.68 |
| Yaning Chen | 2 | 5 | 11.01 |
| Zhi Li | 3 | 0 | 3.38 |
| Yupeng Li | 4 | 0 | 2.70 |
| Qifei Zhang | 5 | 0 | 0.68 |
| Mei Zan | 6 | 0 | 0.34 |