Evaluating carbon additionality under short-term harvest deferrals in U.S. southern plantation forests
米国南部プランテーション林における短期収穫延期による炭素追加性の評価 (AI 翻訳)
Bruno Kanieski da Silva, Jesse D. Henderson, Shaun Tanger, Andrew R. Tilman, Stephanie Chizmar, Rajan Parajuli, Mohammad Marufuzzaman, Christine C. Fortuin
🤖 gxceed AI 要約
日本語
本研究はエージェントベースシミュレーションを用い、米国南部プランテーション林での1年間の収穫延期プログラムが炭素隔離と木材市場に与える影響を分析。結果、プログラムは木材価格上昇や伐期延長などのリーケージ効果を生む一方、高い炭素需要下では追加性を示す。しかし、長期運用には高コストが課題であり、炭素価格と需要が必ずしも隔離向上に直結しないことを示唆。
English
This study uses an agent-based model to evaluate a one-year harvest deferral program in U.S. southern plantation forests. Results show leakage effects on timber markets (higher stumpage prices, longer rotations) but additionality under high carbon demand. Program costs are high, and increasing carbon prices do not consistently improve sequestration. Permanence is observed at landscape level under moderate prices.
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
日本でも森林炭素オフセット(J-クレジット)が注目される中、追加性・リーケージ・永続性の実証評価は政策設計に重要な示唆を与える。米国南部が対象だが、日本の森林管理にも応用可能な知見を含む。
In the global GX context
This paper contributes to global debates on nature-based carbon offsets, particularly additionality and leakage. Its agent-based approach provides insights for designing robust forest carbon programs under competing timber and carbon markets, relevant to international carbon accounting standards and voluntary markets.
👥 読者別の含意
🔬研究者:Agent-based modeling of forest carbon offsets offers a framework to test additionality and leakage under dynamic market conditions.
🏢実務担当者:Carbon project developers should consider leakage risks and high costs of short-term deferrals; timber market effects can undermine net benefits.
🏛政策担当者:Regulators should require rigorous additionality tests and account for market-mediated leakage when endorsing forest carbon credits.
📄 Abstract(原文)
The growing demand for nature-based solutions to mitigate climate change has heightened interest in forest carbon programs, particularly in the southeastern United States, a region with abundant forest resources. Challenges such as additionality, leakage and permanence requirements, and competition between timber and carbon markets are among the complexities of implementing effective forest carbon programs. This study examines the impacts of one-year harvest deferral programs on carbon sequestration and timber market dynamics using an agent-based simulation model. The model incorporates interactions between landowners, a wood-consuming mill, and a carbon credit developers. Through a simulation experiment, we explored varying levels of carbon demand and prices to analyze how forest landowners respond under different scenarios and to examine the outcomes for stand age structure, stumpage and delivered prices for timber, and carbon sequestration over a 100-year period. Results indicate that a one-year harvest deferral program has leakage effects, mainly on timber market dynamics by increasing stumpage prices and extending the rotation age. In addition, our model shows that this type of program can lead to additionality in scenarios with higher carbon demand but also higher program costs. Lastly, we observe permanence at the landscape level through an increasing and higher carbon volume than in scenarios without a carbon program, particularly at moderate carbon prices and higher levels of carbon demand. This study contributes to a growing literature by providing insights into economic and ecological trade-offs of forest carbon offset programs and their implications for sustainable forest management in the Southeastern US. • Increasing carbon prices and demand do not consistently lead to improved sequestration outcomes. • One-year harvest deferral program has a relatively high cost that might lead be financially unfeasible over the long term. • High carbon prices push mills to source timber farther away, increasing transportation-related emissions and costs.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.forpol.2026.103784first seen 2026-05-05 08:05:48 · last seen 2026-05-05 19:14:32
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。