Agroforestry systems: A nature-based solution and ecosystem approach empowering rural communities to tackle climate change
アグロフォレストリーシステム：気候変動に立ち向かう農村コミュニティを強化する自然ベースの解決策と生態系アプローチ (AI 翻訳)
Lydie‐Stella Koutika, Gilles Freddy Mialoudama, Melanie Toto, Viviane S. Tchichelle Okouma, André Ngoma Mabiala, Evariste Banguissa, Juste Akana, Cyriaque Kouba Nkouamoussou
🤖 gxceed AI 要約
日本語
本研究は、コンゴ共和国ポワントノワール周辺の沿岸平野におけるアグロフォレストリーシステム（AFS）の導入可能性を調査し、農民の知識不足（87.6%がAFS未認知）や土壌の貧栄養性などの課題を明らかにした。地域住民の訓練やジェンダー平等を促進する枠組みを提案し、気候変動適応と食料安全保障への貢献を目指す。
English
This study investigates agroforestry systems (AFS) in coastal plains near Pointe-Noire, Republic of Congo, revealing that 87.6% of farmers lack AFS knowledge and soils are nutrient-poor. It proposes a framework to address knowledge gaps, infrastructure barriers, and gender equity, aiming to enhance climate adaptation and food security through AFS implementation.
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
日本ではSSBJやTCFD関連の開示が注目されるが、本論文は自然資本や生態系サービスの活用に関心を持つ農業分野や地方自治体に参考となる可能性がある。ただし、直接的な日本の政策連動性は低い。
In the global GX context
Globally, agroforestry is recognized as a nature-based solution for climate mitigation and adaptation. This case study from the Republic of Congo provides empirical evidence on implementation barriers and opportunities, contributing to the broader discourse on sustainable land management and community resilience.
👥 読者別の含意
🔬研究者:This paper offers insights into socio-economic and soil constraints for agroforestry adoption in tropical regions, relevant for researchers in sustainable agriculture and climate adaptation.
🏢実務担当者:NGOs and development agencies can use the proposed framework to design community-based agroforestry projects emphasizing training and gender equity.
🏛政策担当者:Local policymakers in developing countries may find the study's recommendations on policy support and infrastructure relevant for promoting nature-based solutions.
📄 Abstract（原文）
Agroforestry systems have been promoted as a powerful tool to empower rural communities, especially women, to address climate change, biodiversity loss, food insecurity, land (soil) and ecosystem degradation in the coastal plains surrounding Pointe-Noire, the second largest city and economic hub of the Republic of the Congo. In this area, as in the rest of the country, slash-and-burn agriculture prevails and exacerbates these interconnected environmental challenges. Socio-economic surveys were conducted in six selected villages, together with soil analyses. This approach allows the identification of knowledge gaps, implementation barriers, and opportunities, while the evaluation of soil attributes aims to support and sustain the agroforestry systems (AFS) implementation.The study reveals a crucial need for training and the weak involvement of natives, as 87.6 % of respondents lack knowledge of AFS and 88 % are non-native farmers with minimal agricultural training. Nutrient-poor soils (SOM < 4 %; CEC < 2 cmolc kg–1; and humification <10 % in the 0–5 cm layer) are potentially favourable for the successful implementation of AFS which may help strengthen climate adaptation. Nevertheless, lack of knowledge, insufficient policy support, and inadequate infrastructure remain major constraints.This study proposes a framework to address environmental challenges and major local constraints while promoting training, native involvement, and gender equity through AFS to support its sustainable implementation. The research highlights the potential efficiency of combatting the harmful effects of climate change and food insecurity through the AFS implementation, combined with scientific and traditional knowledge and inclusive collaboration. This approach will ultimately support climate change mitigation and adaptation, and food security for sustainable development in the Congolese coastal plains.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.nbsj.2026.100343first seen 2026-06-17 05:29:43 · last seen 2026-06-17 07:13:45
🔔 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。