Assessment of Agricultural Carbon Emissions and Their Spatiotemporal Changes in China, 1997-2016

Int J Environ Res Public Health. 2019 Aug 26;16(17):3105. doi: 10.3390/ijerph16173105.

Abstract

Despite achieving remarkable development, China's agricultural economy has been under severe environmental pressure. Based on previous studies, the present study further considers the sources of agricultural carbon emissions in depth, estimates China's agricultural carbon emissions from 1997 to 2016, and analyzes the agricultural pollution faced by China and its provinces. The study estimates the amount and intensity of agricultural carbon emissions in China from five carbon sources-agricultural materials, rice planting, soil N2O, livestock and poultry farming, and straw burning-and analyzes their spatial and temporal characteristics. The following results were obtained: (1) between 1997 and 2016, the amount of agricultural carbon emissions in China generally increased, while the intensity of agricultural carbon emissions decreased; (2) in the same period, the amount of carbon emissions from each category of carbon source generally increased, with the exception of rice planting; however, the amount of emissions fluctuated; (3) the amount and intensity of carbon emissions varied greatly among provinces; (4) the emissions from different categories of carbon source showed different concentration trends and agglomeration forms; (5) China's agricultural carbon emissions showed obvious spatial correlation, which overall was high-high agglomeration; however, its carbon emissions gradually weakened, and the spatial agglomeration of agricultural carbon emissions in each province changed between 1997 and 2016.

Keywords: agricultural carbon emissions; carbon sources; spatial correlation; spatiotemporal differentiation; temporal evolution.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Agriculture / statistics & numerical data*
  • Air Pollutants / analysis*
  • Carbon / analysis*
  • China
  • Environmental Pollution / analysis*
  • Environmental Pollution / statistics & numerical data*
  • Spatio-Temporal Analysis

Substances

  • Air Pollutants
  • Carbon