Building resilient livestock systems for climate change adaptation and mitigation in South Asia: a structured narrative review
南アジアにおける気候変動適応と緩和のための強靭な畜産システムの構築：構造化ナラティブレビュー (AI 翻訳)
Hasitha Priyashantha, Imasha S. Jayathissa, Janak K. Vidanarachchi, N.S.B.M. Atapattu, Galia Zamaratskaia, Shishanthi Jayarathna
🤖 gxceed AI 要約
日本語
本レビューは南アジア、特にスリランカを中心に、気候変動が畜産に与える影響（熱ストレス、飼料不足、疾病など）と、適応・緩和策を網羅的に整理。伝統的知識と精密畜産（センサー、AI、衛星データ）の統合、政策提言（地域協力、資金調達、能力構築）を提示している。
English
This structured narrative review synthesizes evidence on climate impacts on South Asian livestock systems, including heat stress, feed scarcity, and disease. It proposes climate-smart interventions combining traditional knowledge with precision livestock farming (sensors, AI, satellite data) and offers policy recommendations for regional cooperation, innovative finance, and capacity building.
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
日本は畜産分野でもGHG削減や適応策が求められており、本稿の南アジア事例（伝統的手法と先端技術の融合）は、日本の気候スマート農業政策や国際協力の参考となる。特に、AIやセンサーを活用した精密畜産の導入は日本でも関心が高い。
In the global GX context
While focusing on South Asia, this review adds to the global literature on climate-smart agriculture by integrating indigenous knowledge with AI-driven precision livestock farming. It offers transferable insights for regions facing similar adaptation challenges and informs international frameworks (e.g., UNFCCC, IPCC) on livestock mitigation and resilience.
👥 読者別の含意
🔬研究者:Provides a comprehensive synthesis of climate-livestock interactions and adaptation strategies, useful for further empirical or modeling studies.
🏢実務担当者:Practical recommendations on breed selection, feed management, and precision farming technologies for livestock resilience.
🏛政策担当者:Policy proposals on regional cooperation, financing mechanisms, and capacity building for climate-resilient livestock systems.
📄 Abstract（原文）
Climate change poses severe threats to livestock systems in South Asia, where millions of rural households depend on animal agriculture for food security and livelihoods. This policy paper synthesizes the latest evidence on adaptation and mitigation strategies tailored for these systems, with a focus on Sri Lanka and its neighbors. We review climate impacts (e.g., heat stress, feed availability, quality & safety, disease vectors) and propose climate-smart interventions including breed selection, feed management, water use efficiency, and land management. Integration of sustainable practices (mixed farming, agroforestry) and precision livestock farming (sensors, artificial intelligence, satellite data) is emphasized to optimize resource use and reduce greenhouse gas emissions. The role of traditional knowledge, such as indigenous resilient breeds, is highlighted alongside recent advances in science and livestock management practices. We examine how climate change accelerates the migration of rural employment, often leading to a shift from farming to urban labor, and emphasizing the need for new green jobs in resilient livestock value chains. Case studies from South Asia demonstrate numerous successful resilience models. This paper also discusses region-wide mechanisms, such as the South Asian Association for Regional Cooperation (SAARC) climate-smart agriculture consortium and transboundary early warning networks that foster collaboration and shared learning. Finally, we propose policy recommendations (investments, financing, capacity building), aimed at strengthening regional coordination, innovative finance, and institutional capacities for climate-resilient livestock systems.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3389/fanim.2026.1796156first seen 2026-06-29 04:41:17 · last seen 2026-06-29 04:51:03
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