大規模なSpartina alterniflora除去が沿岸湿地植生を再編し、塩城沿岸湿地で短期的なブルーカーボン損失をもたらす
Large-Scale Spartina alterniflora Removal Reshapes Coastal Wetland Vegetation with Short-Term Blue Carbon Losses in Yancheng Coastal Wetlands (原題)
Fei Chen, Shuo Zhang, Jiajun Chen, Yufei Chen, Wen Luo
🤖 gxceed AI 要約
日本語
中国塩城沿岸湿地で侵略種S. alternifloraの大規模除去が植生再編とブルーカーボン貯留に与える影響を、Landsat/Sentinel観測・ランダムフォレスト・LSTM–LCM・InVESTモデルで評価。除去後の2024年管理層では炭素貯留が0.712から0.564 Tg Cへ減少し、20.8%の短期的損失（91.4%がバイオマス由来）を確認。在来植生の迅速な回復の重要性を示す。
English
Integrating Landsat/Sentinel time series, random forest, LSTM–Land Change Modeler, and InVEST, this study reconstructs vegetation trajectories and a no-removal counterfactual after large-scale Spartina alterniflora removal in Yancheng, China. Carbon storage fell from 0.712 to 0.564 Tg C (20.8% loss, 91.4% biomass), revealing short-term blue carbon losses and the need for rapid native vegetation recovery.
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
ブルーカーボンはJ-クレジットや自治体の脱炭素先行地域で注目されるが、本論文は中国の湿地管理事例であり、日本の沿岸生態系管理や生物多様性クレジット設計への示唆は限定的。ただし侵略種除去に伴う炭素損失の定量手法は、日本国内の干潟・藻場保全の評価に応用可能。
In the global GX context
Blue carbon is increasingly integrated into global climate disclosure (TNFD, SBTN) and nature-based credit markets. This study provides empirical evidence that invasive-species removal can cause short-term carbon losses, relevant to the design of biodiversity and blue carbon accounting methodologies under emerging frameworks like CSRD and ISSB nature-related disclosures.
👥 読者別の含意
🔬研究者:リモートセンシングと機械学習を組み合わせた湿地炭素動態の評価手法に関心のある研究者に有用。
🏢実務担当者:沿岸生態系の保全・復元プロジェクトを検討する企業や自治体にとって、除去後の炭素損失リスクを考慮する必要性を示す。
🏛政策担当者:ブルーカーボンクレジットや生物多様性政策の設計において、侵略種管理の短期的な炭素影響を評価する重要性を示唆。
📄 Abstract（原文）
Large-scale removal of the invasive salt-marsh plant Spartina alterniflora has become an important intervention for restoring native coastal wetland habitats. However, its effects on vegetation reorganization and blue carbon storage remain unclear because conventional before–after comparisons cannot readily separate management effects from background wetland dynamics. Following a large-scale S. alterniflora removal program in Yancheng Coastal Wetlands, China, we integrated Landsat and Sentinel observations (2009–2024), random forest classification, an LSTM–Land Change Modeler framework, and the InVEST Coastal Blue Carbon model to reconstruct vegetation trajectories and simulate a 2024 no-removal counterfactual. From 2010 to 2023, S. alterniflora expanded by 43.16%, Suaeda salsa declined by 78.95%, and Phragmites australis increased by 27.20%. The LSTM temporal-demand model estimated a 2024 S. alterniflora demand of 41.90 km2, whereas the intervention-defined management layer represented extensive post-removal surfaces and vegetation reorganization. Using the corrected 2023 landscape as a persistence-based carbon reference, carbon storage was 0.712 Tg C compared with 0.564 Tg C in the 2024 management layer, corresponding to a scenario difference of 0.148 Tg C (20.8%), 91.4% of which was attributable to biomass carbon. These findings reveal substantial short-term blue carbon losses and highlight the importance of rapid native vegetation recovery after invasive-species removal.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/land15101772first seen 2026-09-23 05:04:09
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