Publications by authors named "Canying Zeng"
Article Synopsis
- Accurate mapping of carbon dioxide (CO) emissions at a provincial level is crucial for China to manage and reduce emissions effectively, particularly with a focus on achieving carbon neutrality.
- The study focused on Guizhou Province, revealing that CO emissions varied significantly by area, with higher emissions found in urban centers and a shift over time from concentrated to more dispersed emissions.
- Key findings showed that industrial land contributed the most to emissions, and the relationship between economic levels and CO emissions in Guizhou evolved from linear to an inverted U-shape over the past decade, indicating changes in the drivers of emissions.
This paper evaluated the spatiotemporal non-stationarity in the vegetation dynamic based on 1-km resolution 16-day composite Moderate Resolution Imaging Spectroradiometer (MODIS) Enhanced Vegetation Index (EVI) datasets in China during 2001-2011 through a wavelet transform method. First, it revealed from selected pixels that agricultural crops, natural forests, and meadows were characterized by their distinct intra-annual temporal variation patterns in different climate regions. The amplitude of intra-annual variability generally increased with latitude.
View Article and Find Full Text PDF