Trends in vegetation productivity related to climate change in China's Pearl River Delta

PLoS One. 2021 Feb 24;16(2):e0245467. doi: 10.1371/journal.pone.0245467. eCollection 2021.

Abstract

Climate change will be a powerful stressor on ecosystems and biodiversity in the second half of the 21st century. In this study, we used the satellite-derived Normalized Difference Vegetation Index (NDVI) to examine a 34-year trend along with the response of vegetation to climate indicators surrounding the world's largest megacity: the Pearl River Delta (PRD) of China. An overall increasing trend is observed in vegetation productivity metrics over the study period 1982 to 2015. Increase in winter productivity in both natural ecosystems and croplands is more related to increasing temperatures (r = 0.5-0.78), than to changes in rainfall. For growing season productivity, negative correlations with temperature were observed in cropland regions, and some forests in the northern part of PRD region, suggesting high-temperature stress on crop production and forest vegetation. However, increased winter and spring temperatures provide higher opportunities for cropping in winter. During the decade 1995-2004, vegetation productivity metrics showed a reversal in the upward trend. The geographical and biological complexity of the region under significant climatic and development impacts suggests causative factors would be synergistic. These include our observed decrease in sunshine hours, increasing cloud cover associated with atmospheric aerosols from industrial and urban development, direct pollution effects on plant growth, and exceedance of high temperature growth thresholds.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • China
  • Climate Change*
  • Crops, Agricultural / growth & development
  • Ecosystem*
  • Environmental Monitoring*
  • Forests
  • Plants
  • Rivers*
  • Seasons

Grants and funding

This research is supported by grants from the Research Grants Council of Hong Kong SAR (Grant no. 15602619 and C7064-18GF to MSW), and by another grant from the Research Institute for Sustainable Urban Development, the Hong Kong Polytechnic University (Grant no. 1-BBWD to SA and MSW).