“Blue Carbon” Stock in Soils of Coastal Ecosystems in the Southeastern Barents Sea
バレンツ海南東部の沿岸生態系における土壌中の「ブルーカーボン」貯留量 (AI 翻訳)
I. E. Bagdasarov, G. A. Kazhukalo, A. A. Bobrik, A. V. Priadilina, S. A. Ogorodov, P. V. Krasilnikov
🤖 gxceed AI 要約
日本語
バレンツ海のチョーシャ湾沿岸で土壌炭素貯留量を調査。8.75~236.02 t/haの範囲で変動し、最高値は侵食された湿地崖の堆積物で見られた。物理的粘土含有量や地形湿度指数と統計的に有意な関係が認められたが、空間的不均一性のため予測モデルの汎用性は低い。
English
Soil carbon stocks were measured in coastal landscapes of Chosha Bay, Barents Sea, ranging from 8.75 to 236.02 t/ha, with highest in eroded marsh ledge sediments. Significant correlations with clay content and topographic wetness index were found, but high spatial heterogeneity limits predictive modeling.
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
本論文はロシア北極圏の沿岸土壌炭素ストックを定量化しており、日本のブルーカーボン生態系(藻場・干潟等)の炭素貯留評価に方法論的示唆を与える。ただし地理的・生態的条件が異なるため直接適用には注意が必要。
In the global GX context
This paper provides empirical carbon stock data from Arctic coastal ecosystems, contributing to global blue carbon accounting. While the study area is specific, the methodology for assessing soil carbon heterogeneity is relevant for global coastal carbon inventories.
👥 読者別の含意
🔬研究者:Provides baseline carbon stock data for Arctic coastal soils, useful for global blue carbon budgets and modeling.
📄 Abstract(原文)
A geobotanical, soil, and geomorphological description of the coastal zone was conducted, and soil carbon stocks were estimated in coastal landscapes of the Chosha Bay in the Barents Sea at the mouth of the Pyosha River. Carbon stocks varied widely from 8.75 to 236.02 t/ha. In the 50 cm soil layer, the highest carbon stocks found on the western bank of the river were 149 t/ha, compared to 96 t/ha in the marsh soils of the eastern bank. The study established that the minimum stocks were found in the soils of the coastal bars (ecotone zone), while the maximum was in the sediments of the eroded marsh ledge. Based on the carbon stored in the substrate of the relict marsh terrace, it can be assumed that the soil layers deeper than 50 cm are saturated with organic material. A statistically significant relationship was established between soil carbon reserves and the physical clay content, the height above the water edge, and the topographic wetness index. However, due to the high spatial and radial heterogeneity of carbon accumulation, extensive variability of environmental factors, and the insufficient sample size, the predictive ability of the resulting regression model for extrapolating data to unexplored coastal areas is low. Therefore, in order to predict marsh soil carbon stocks, it would be appropriate to use mean values of each coastal landscape.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1134/s1064229325605189first seen 2026-06-17 05:56:05 · last seen 2026-06-17 07:14:18
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録(無料・3キーワードまで)。
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。