Increased terrestrial ecosystem respiration in China estimated by land-atmosphere coupling model

IF 2.6 3区环境科学与生态学 Q2 ECOLOGY

Ecological Modelling Pub Date : 2025-02-01 DOI:10.1016/j.ecolmodel.2024.110988

Tuanhui Wang , Yue Zhang , Abdusalam Turup , Aiguo Zhang , Longhui Li

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Abstract

Ecosystem respiration (Re), the sum of heterotrophic respiration and autotrophic respiration, is an important component of the carbon cycle in terrestrial ecosystems, so accurate assessment of ecosystem respiration could help us to understand the mechanisms underlying the interaction between global carbon cycle and climate change. However, the ability of the Weather Research and Forecasting model coupled with the Noah land surface model with multiple-physics options (WRF/Noah-MP) to simulate Re had not yet been evaluated in China. In this study, the WRF/Noah-MP model is used to simulate the respiration of terrestrial ecosystems from 2002 to 2022 with spatial resolution of 12 km ☓ 12 km in China. Results suggested that the R² of the Re simulated by WRF/Noah-MP was 0.58, which indicated that the WRF/Noah-MP model had good ability to simulate ecosystem respiration. During 2002∼2022, the annual average Re was about 5.56 Pg C yr⁻¹, with an increasing trend of 0.03 Pg C yr⁻¹. There were significant spatial and seasonal differences in China's Re. The average Re in summer accounted for about 50 % of the mean annual Re. As a consequence, the interaction between climate warming and terrestrial ecosystem respiration needs to receive more attention in the future.

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来源期刊

Ecological Modelling 环境科学-生态学

CiteScore

5.60

自引率

6.50%

发文量

259

审稿时长

69 days

期刊介绍： The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).