Hydroclimate controls when riverine organic carbon transport matters for terrestrial carbon accounting
河川有機炭素輸送が陸域炭素会計に重要となる水文気候制御 (AI 翻訳)
Shengyue Chen, Georgios Blougouras, Markus Reichstein, Haicheng Zhang, Chunlin Song, Sung-Ching Lee, Elisa Calamita, Taiqi Lian, Jinliang Huang, Shijie Jiang
🤖 gxceed AI 要約
日本語
米国本土の河川有機炭素輸送を深層学習で再構築。年間輸送量は13.8 Tg Cで、陸域純生態系交換の平均1.9%に相当。湿潤地域や湿潤年で重要性が増し、乾燥後の湿潤年で急増。水文気候変動下での動的表現の必要性を示す。
English
Using a multitask deep learning model with 95,000+ observations, this study reconstructs daily riverine organic carbon transport across the contiguous US (1984-2023). Annual transport averages 13.8 Tg C/yr, about 1.9% of vertical NEE, exceeding 10% in some basins. Transport is episodic and history-dependent, highlighting the need for dynamic lateral carbon representation in budgets and Earth system models.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本の炭素収支報告や気候変動適応策において、河川経由の炭素輸送は見落とされがち。SSBJ開示やカーボンニュートラル目標の精度向上に寄与する可能性があるが、直接的な政策連動は限定的。
In the global GX context
This study advances global carbon accounting by quantifying lateral carbon transport, a component often missing in national inventories and Earth system models. As ISSB and other frameworks push for more accurate carbon accounting, this research provides a methodological template for incorporating lateral fluxes into terrestrial carbon budgets.
👥 読者別の含意
🔬研究者:Provides a novel deep learning approach to integrate sparse observations for carbon flux reconstruction, useful for improving terrestrial carbon cycle models.
🏛政策担当者:Highlights the importance of considering lateral carbon transport in national carbon accounting and climate mitigation strategies.
📄 Abstract（原文）
Rivers transfer organic carbon from land to inland waters, but sparse and uneven observations have limited our ability to determine where, when, and how this lateral pathway matters for terrestrial carbon accounting. We integrated more than 95,000 measurements of total and dissolved organic carbon using a multitask deep learning model that leverages complementary carbon observations with broader spatial coverage to inform the reconstruction of sparsely observed total organic carbon. This produced an observation-constrained reconstruction of daily riverine total organic carbon concentration and transport at 0.25° resolution across the contiguous United States from 1984 to 2023, resolving where lateral carbon transport arises across the landscape. Annual transport averaged 13.8 ± 1.9 Tg C yr –1 . Relative to the absolute magnitude of vertical net ecosystem carbon exchange, riverine transport averaged 1.9 ± 0.3% across the continent, exceeded 10% in parts of the lower Mississippi Basin and southeastern Coastal Plains, and was most important near the transition between water-limited and wetter climates. Wet years expanded the area where riverine transport was quantitatively important, while the largest year-to-year increases occurred when wet conditions followed dry periods. It arose mainly from renewed water throughput, reinforced by higher carbon concentration, and was strongest where carbon-source and hydrological-mobilization influences were both strong. Riverine organic carbon transport is therefore a spatially structured, episodic, and history-dependent component of terrestrial carbon accounting. As hydroclimatic variability intensifies, representing this lateral pathway dynamically will become increasingly important for carbon budgets and Earth system models.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.22541/essoar.15007252/v1first seen 2026-08-12 04:54:36
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