التفاصيل البيبلوغرافية
| العنوان: |
Attribution of NDVI Dynamics over the Globe from 1982 to 2015. |
| المؤلفون: |
Liu, Cuiyan, Liu, Jianyu, Zhang, Qiang, Ci, Hui, Gu, Xihui, Gulakhmadov, Aminjon |
| المصدر: |
Remote Sensing; Jun2022, Vol. 14 Issue 11, p2706-2706, 17p |
| مصطلحات موضوعية: |
VEGETATION dynamics, ARID regions, REMOTE sensing, TIME series analysis, LAND use |
| مستخلص: |
Satellite remote sensing has witnessed a global widespread vegetation greening since the 1980s. However, reliable observation-based quantitative knowledge on global greening remains obscure due to uncertainties in model simulations and the contribution of natural variability is largely unknown. Here, we revisit the attribution of global vegetation changes using the Time Series Segment and Residual Trend (TSS-RESTREND) method. Results showed global vegetation significantly greening over 40.6% of the vegetated grids, whereas vegetation significantly browning over 11.6% of the vegetated grids. The attribution results based on the TSS-RESTREND method show that CO2 fertilization (CO2) plays an influential role in vegetation changes over 61.4% of the global vegetated areas, followed by land use (LU, 23.5%), climate change (CC, 7.3%), and climate variability (CV, 1.5%). The vegetation greening can be largely attributed to CO2 fertilization while the vegetation browning is mainly caused by LU. Meanwhile, we also identify positive impacts of LU and CC on vegetation change in arid regions but negative impacts in humid regions. Our findings indicate spatial heterogeneity in causes behind global vegetation changes, providing more detailed references for global vegetation modeling. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
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