Abstract
Soil respiration (R ) is projected to be substantially affected by climate change, impacting the storage, equilibrium, and movement of terrestrial carbon (C). However, uncertainties surrounding the responses of R to climate change and soil nitrogen (N) enrichment are linked to mechanisms specific to diverse climate zones. A comprehensive meta-analysis was conducted to address this, evaluating the global effects of warming, increased precipitation, and N enrichment on R across various climate zones and ecosystems. Data from 123 studies, encompassing a total of 10,377 worldwide observations, were synthesized for this purpose. Annual R were modeled and their uncertainties were associated with a 1-km resolution global R database spanning from 1961 to 2022. Calibrating R using ensemble machine learning (EML) and employing 10-fold cross-validation, 13 environmental covariates were utilized. The meta-analysis findings revealed an upsurge in R rates in response to warming, with tropical, arid, and temperate climate zones exhibiting increases of 12 %, 13 %, and 16 %, respectively. Furthermore, increased precipitation led to stimulated R rates of 11 % and 9 % in tropical and temperate zones, respectively, while N deposition affected R in cold (+6 %) and tropical (+5 %) climate zones. The machine learning technique estimated the global soil respiration to range from 91 to 171 Pg C yr , with an average R of 700 ± 300 g C m yr . The values ranged between 314 and 2500 g C m yr , with the lowest and highest values observed in cold and tropical zones, respectively. Spatial variation in R was most pronounced in low-latitude areas, particularly in tropical rainforests and monsoon zones. Temperature, precipitation, and N deposition were identified as crucial environmental factors exerting significant influences on R rates worldwide. These factors underscore the interconnectedness between climate and ecosystem processes, therefore requiring explicit considerations of different climate zones when assessing responses of R to global change. [Abstract copyright: Copyright © 2024 Elsevier B.V. All rights reserved.]
| Original language | English |
|---|---|
| Article number | 175943 |
| Journal | The Science of the total environment |
| Volume | 952 |
| Early online date | 31 Aug 2024 |
| DOIs | |
| Publication status | Published - 2 Sept 2024 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 13 Climate Action
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SDG 15 Life on Land
Keywords
- Soil respiration
- Climate change
- meta-analysis
- Nitrogen addition
- Increased precipitation
- Machine learning
- Global warming
- Köppen-Geiger climate classification
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