Variation in and Regulation of Carbon Use Efficiency of Grassland Ecosystem in Northern China

Author:

Feng Zhuoqun1,Zhou Li23,Zhou Guangsheng23ORCID,Wang Yu4ORCID,Zhou Huailin2ORCID,Lv Xiaoliang1,Liu Liheng1

Affiliation:

1. School of Geo-Science and Technology, Zhengzhou University, Zhengzhou 450064, China

2. State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China

3. Joint Laboratory of Eco-Meteorology, Chinese Academy of Meteorological Sciences, Zhengzhou University, Zhengzhou 450052, China

4. College of Horticulture and Plant Protection, Henan University of Science and Technology, Luoyang 471023, China

Abstract

Ecosystem carbon use efficiency (CUE) is a key parameter in the carbon cycling of terrestrial ecosystems. The magnitude of CUE reflects the ecosystem’s potential for CO2 sequestration. China’s grasslands play an important role in the carbon cycle. Here, we aimed to investigate the comparation of CUE and its environmental regulation among different grassland in Northern China based on eddy covariance carbon fluxes measurements of 31 grassland sites. The results showed that the average CUE of grassland in Northern China was 0.05 ± 0.22, with a range from −0.42 to 0.66. It was demonstrated that there were significant differences in CUE among different grassland types, and CUE values were ranked by type as follows: alpine grassland > temperate meadow steppe > temperate typical steppe > temperate desert steppe, driven by a combination of climatic, soil, and biological factors, with net ecosystem productivity (NEP) having the greatest impact on them. Except for meadow steppes, moisture had a greater impact on grassland CUE in Northern China than temperature. While temperate desert grassland CUE decreased with increasing soil water content (SWC), the CUE of other grassland types increased with higher precipitation and SWC. These findings will advance our ability to predict future grassland ecosystem carbon cycle scenarios.

Funder

ational Natural Science Foundation of China

Fundamental Research Funds of the Chinese Academy of Meteorological Sciences

Publisher

MDPI AG

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