the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Global variability of carbon use efficiency in terrestrial ecosystems
Abstract. Vegetation carbon use efficiency (CUE) is a key measure of carbon (C) transfer from the atmosphere to terrestrial biomass, and indirectly reflects how much C is released through autotrophic respiration from the vegetation to the atmosphere. Diagnosing the variability of CUE with climate and other environmental factors is fundamental to understand its driving factors, and to further fill the current gaps in knowledge about the environmental controls on CUE. Thus, to study CUE variability and its driving factors, this study established a global database of site-year CUE based on observations from 188 field measurement sites for five ecosystem types – forest, grass, wetland, crop and tundra. The spatial pattern of CUE was predicted from global climate and soil variables using Random Forest, and compared with estimates from Dynamic Global Vegetation Models (DGVMs) from the TRENDY model ensemble. Globally, we found two prominent CUE gradients in ecosystem types and latitude, that is, CUE varied with ecosystem types, being the highest in wetlands and lowest in grassland, and CUE decreased with latitude with the lowest CUE in tropics, and the highest CUE in higher latitude regions. CUE varied greatly between data-derived CUE and TRENDY-CUE, but also among TRENDY models. Both data-derived and TRENDY-CUE challenged the constant value of 0.5 for CUE, independent of environmental controls. However, given the role of CUE in controlling the spatial and temporal variability of the terrestrial biosphere C cycle, these results emphasize the need to better understand the biotic and abiotic controls on CUE to reduce the uncertainties in prognostic land-process model simulations. Finally, this study proposed a new estimate of net primary production based on CUE and gross primary production, offering another benchmark for net primary production comparison for global carbon modelling.
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This preprint has been withdrawn.
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Interactive discussion
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RC1: 'Review of Tang et al.: Global variability of carbon use efficiency in terrestrial ecosystems', Anonymous Referee #1, 06 Apr 2019
- AC1: 'Response to Reviewer #1 - see the pdf file', Xiaolu Tang, 21 May 2019
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RC2: 'Review of Tang et al.', Anonymous Referee #2, 10 Apr 2019
- AC2: 'Response to Reviewer #2 - see the pdf file', Xiaolu Tang, 21 May 2019
Interactive discussion
-
RC1: 'Review of Tang et al.: Global variability of carbon use efficiency in terrestrial ecosystems', Anonymous Referee #1, 06 Apr 2019
- AC1: 'Response to Reviewer #1 - see the pdf file', Xiaolu Tang, 21 May 2019
-
RC2: 'Review of Tang et al.', Anonymous Referee #2, 10 Apr 2019
- AC2: 'Response to Reviewer #2 - see the pdf file', Xiaolu Tang, 21 May 2019
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Cited
9 citations as recorded by crossref.
- Evaluating carbon use efficiency in forest types and ecoregions of Turkey S. BULUT & A. GÜNLÜ 10.53516/ajfr.1017862
- Seasonal Ecosystem Productivity in a Seasonally Dry Tropical Forest (Caatinga) Using Flux Tower Measurements and Remote Sensing Data G. Costa et al. 10.3390/rs14163955
- Assessment of SITE for CO2 and Energy Fluxes Simulations in a Seasonally Dry Tropical Forest (Caatinga Ecosystem) K. Mendes et al. 10.3390/f12010086
- Energy Balance, CO2 Balance, and Meteorological Aspects of Desertification Hotspots in Northeast Brazil A. Silva et al. 10.3390/w13212962
- Variations in vegetation CUE with climate change and human activity during growing seasons in the Western Sichuan Plateau, China H. Lu et al. 10.1080/2150704X.2021.1895447
- Spatio-Temporal Variations of Carbon Use Efficiency in Natural Terrestrial Ecosystems and the Relationship with Climatic Factors in the Songnen Plain, China B. Li et al. 10.3390/rs11212513
- Spatio-temporal variations of vegetation carbon use efficiency and potential driving meteorological factors in the Yangtze River Basin X. Ye et al. 10.1007/s11629-019-5966-x
- Developing holistic models of the structure and function of the soil/plant/atmosphere continuum J. Penuelas & J. Sardans 10.1007/s11104-020-04641-x
- Global satellite-driven estimates of heterotrophic respiration A. Konings et al. 10.5194/bg-16-2269-2019
Xiaolu Tang
Nuno Carvalhais
Catarina Moura
Bernhard Ahrens
Sujan Koirala
Shaohui Fan
Fengying Guan
Wenjie Zhang
Sicong Gao
Vincenzo Magliulo
Pauline Buysse
Shibin Liu
Guo Chen
Wunian Yang
Jingjing Liang
Leilei Shi
Shenyan Pu
Markus Reichstein
This preprint has been withdrawn.
- Preprint
(632 KB) - Metadata XML
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Supplement
(941 KB) - BibTeX
- EndNote