EGU21-9690, updated on 08 Mar 2021
EGU General Assembly 2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Global consistency in response of terrestrial ecosystem respiration to temperature

Huanyuan Zhang1, Zhiyuan Zhang2, Zikun Cui3, Feng Tao5, Ziwei Chen4, Yaxuan Chang2, Vincenzo Magliulo6, Georg Wohlfahrt7, and Dongsheng Zhao4
Huanyuan Zhang et al.
  • 1University of oxford, environmental change institute, department of geography, United Kingdom of Great Britain – England, Scotland, Wales (
  • 2Fujian Provincial Key Laboratory of Soil Environmental Health and Regulation, College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou 350002, China
  • 3Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou 510006, China
  • 4Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
  • 5Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China
  • 6CNR – Institute for Mediterranean Agricultural and Forest Systems, Via Patacca 85, 80040-Ercolano (Napoli), Italy
  • 7Institute of Ecology, University of Innsbruck, Sternwartestr 15, Innsbruck, 6020, Austria

Many studies have been carried out to quantify the trend of terrestrial ecosystem respiration (Re) in a warming world, but a conclusive answer has not yet been confirmed because the temperature sensitivity of Re was found inconsistent under different scales or regarding different types of respiratory flux.  Aiming at clarifying the relationship between temperature and Re across different scales, we proposed a method to counteract the confounding effect and applied nine empirical models to a 1,387 site-years FLUXNET dataset.  Regarding the temperature sensitivity of half-hourly Re records, we found a surprisingly consistent result that the sigmoid functions outcompeted other statistical models in almost all datasets (account for 82%), and on average, achieved a staggering R2 value of 0.92, indicating the positive correlation between Re and temperature on fine time scale (within one site-year dataset).  Even though Re of all biomes followed sigmoid functions, the parameters of the S-curve varied strongly across sites.  This explains why measured Q10 value (an index denote temperature sensitivity) largely depends on observation season and site.  Furthermore, on the interannual variation of Re, we did not find any relationship between mean annual temperature (MAT) and mean annual Re within any site, which implies that the small year-to-year variation of the sigmoid pattern is large enough to counteract the warming effect on Re.  This study thereby put forward a conceptual model to integrate the relationship between temperature and Re under different scales. It also provided evidences to support the argument that the relationship between MAT and mean annual Re (i.e., respiration under global warming) should not be inferred from studies on other temporal or spatial scales.

How to cite: Zhang, H., Zhang, Z., Cui, Z., Tao, F., Chen, Z., Chang, Y., Magliulo, V., Wohlfahrt, G., and Zhao, D.: Global consistency in response of terrestrial ecosystem respiration to temperature, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-9690,, 2021.

Display materials

Display file

Comments on the display material

to access the discussion