| Autor: |
Shuang Ma, Lifen Jiang, Rachel M Wilson, Jeff Chanton, Shuli Niu, Colleen M Iversen, Avni Malhotra, Jiang Jiang, Yuanyuan Huang, Xingjie Lu, Zheng Shi, Feng Tao, Junyi Liang, Daniel Ricciuto, Paul J Hanson, Yiqi Luo |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
Environmental Research: Climate, Vol 2, Iss 2, p 025003 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2752-5295 |
| DOI: |
10.1088/2752-5295/acc67e |
| Popis: |
Peatlands contain one-third of global soil carbon (C), but the responses of peatland ecosystems to long-term warming are not well understood. Here, we pursue an emergent understanding of warming effects on ecosystem C fluxes at peatlands by constraining a process-oriented model, the terrestrial ECOsystem model, with observational data from a long-term warming experiment at the Spruce and Peatland Responses Under Changing Environments site. Model-based assessments show that ecosystem-level photosynthesis and autotrophic respiration exhibited significant thermal acclimation, with temperature sensitivities being linearly decreased with warming. Using the thermal-acclimated parameter values, simulated gross primary production, net primary production, and plant autotrophic respiration ( R _a ), were all lower than those simulated with non-thermal acclimated parameter values. In contrast, ecosystem respiration simulated with thermal acclimated parameter values was higher than that simulated with non-thermal acclimated parameter values. Net ecosystem CO _2 exchange was much higher after constraining model parameters with observational data from the warming treatments, releasing C at a rate of 28.3 g C m ^−2 yr ^−1 °C ^−1 . Our data-model integration study suggests that peatlands are likely to release more C than previously estimated. Earth system models may overestimate C uptake by peatlands under warming if physiological thermal acclimation of plants is not incorporated. Thus, it is critical to consider the long-term physiological thermal acclimation of plants in the models to better predict global C dynamics under future climate and their feedback to climate change. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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