Next Article in Journal
Sea Surface Temperature (SST) Variability of the Eastern Coastal Zone of the Gulf of California
Next Article in Special Issue
Generation of High Resolution Vegetation Productivity from a Downscaling Method
Previous Article in Journal
Reply to Vauhkonen: Comment on Tompalski et al. Combining Multi-Date Airborne Laser Scanning and Digital Aerial Photogrammetric Data for Forest Growth and Yield Modelling. Remote Sens. 2018, 10, 347
Previous Article in Special Issue
Variation of Net Primary Production and Its Correlation with Climate Change and Anthropogenic Activities over the Tibetan Plateau
Article Menu
Issue 9 (September) cover image

Export Article

Open AccessArticle

Drought-Induced Reduction in Net Primary Productivity across Mainland China from 1982 to 2015

School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510641, China
South China Institute of Environment Sciences, Ministry of Environment Protection of PRC, Guangzhou 510535, China
Guangdong Engineering Technology Research Center of Safety and Greenization for Water Conservancy Project, Guangzhou 510641, China
Center for Water Resource and Environment, Sun Yat-Sen University, Guangzhou 510275, China
The Prairie Research Institute, University of Illinois at Urbana-Champaign, 2204 Griffith Drive, Champaign, IL 61820, USA
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Research Center on Flood and Drought Disaster Reduction of the Ministry of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
Department of Ecology, Jinan University, Guangzhou 510632, China
Department of Environmental Engineering, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
Authors to whom correspondence should be addressed.
Remote Sens. 2018, 10(9), 1433;
Received: 13 July 2018 / Revised: 16 August 2018 / Accepted: 5 September 2018 / Published: 8 September 2018
(This article belongs to the Special Issue Remote Sensing of Primary Productivity)
PDF [16882 KB, uploaded 8 September 2018]


Terrestrial net primary productivity (NPP) plays an essential role in the global carbon cycle as well as for climate change. However, in the past three decades, terrestrial ecosystems across mainland China suffered from frequent drought and, to date, the adverse impacts on NPP remain uncertain. This study explored the spatiotemporal features of NPP and discussed the influences of drought on NPP across mainland China from 1982 to 2015 using the Carnegie Ames Stanford Application (CASA) model and the standardized precipitation evapotranspiration index (SPEI). The obtained results indicate that: (1) The total annual NPP across mainland China showed an non-significantly increasing trend from 1982 to 2015, with annual increase of 0.025 Pg C; the spring NPP exhibited a significant increasing trend (0.031 Pg C year−1, p < 0.05) while the summer NPP showed a higher decreasing trend (0.019 Pg C year−1). (2) Most areas of mainland China were spatially dominated by a positive correlation between annual NPP and SPEI and a significant positive correlation was mainly observed for Northern China; specific to the nine sub-regions, annual NPP and SPEI shared similar temporal patterns with a significant positive relation in Northeastern China, Huang-Huai-Hai, Inner Mongolia, and the Gan-Xin Region. (3) During the five typical drought events, more than 23% areas of mainland China experienced drought ravage; the drought events generally caused about 30% of the NPP reduction in most of the sub-regions while the NPP in the Qinghai-Tibet Plateau Region generally decreased by about 10%. View Full-Text
Keywords: terrestrial ecosystem; climate change; spatiotemporal features; standardized precipitation evapotranspiration index terrestrial ecosystem; climate change; spatiotemporal features; standardized precipitation evapotranspiration index

Graphical abstract

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Lai, C.; Li, J.; Wang, Z.; Wu, X.; Zeng, Z.; Chen, X.; Lian, Y.; Yu, H.; Wang, P.; Bai, X. Drought-Induced Reduction in Net Primary Productivity across Mainland China from 1982 to 2015. Remote Sens. 2018, 10, 1433.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top