Divergent data-driven estimates of global soil respiration
説明
<jats:title>Abstract</jats:title><jats:p>The release of carbon dioxide from the soil to the atmosphere, known as soil respiration, is the second largest terrestrial carbon flux after photosynthesis, but the convergence of the data-driven estimates is unclear. Here we collate all historical data-driven estimates of global soil respiration to analyze convergence and uncertainty in the estimates. Despite the development of a dataset and advanced scaling techniques in the last two decades, we find that inter-model variability has increased. Reducing inter-model variability of global soil respiration is not an easy task, but when the puzzle pieces of the carbon cycle fit together perfectly, climate change prediction will be more reliable.</jats:p>
収録刊行物
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- Communications Earth & Environment
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Communications Earth & Environment 4 (1), 2023-12-06
Springer Science and Business Media LLC
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詳細情報 詳細情報について
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- CRID
- 1360584340720892032
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- ISSN
- 26624435
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- 資料種別
- journal article
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- データソース種別
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- Crossref
- KAKEN
- OpenAIRE