Geospatial Assessment of Climate Variability Impacts on Agricultural Systems and Carbon Sequestration under Regenerative Farming Practices: A Systematic Review
再生農業慣行下における気候変動性の農業システムと炭素隔離への影響の地理空間評価：系統的レビュー (AI 翻訳)
Kehinde Akinfolarin, Georgina Fiyinfoluwa Leram, Ifeoluwa Odunayo Olofinsao, Julius Odemi Brown, Confidence Adimchi Chinonyerem
🤖 gxceed AI 要約
日本語
本系統的レビューは、再生農業慣行下での気候変動性が農業システムと炭素隔離に与える影響に関する地理空間評価の文献を分析。61の査読付き研究を対象とし、リモートセンシングやGISが主流である一方、現地検証の不足や地理的偏りを指摘。再生農業は炭素隔離に寄与するが、効果は地域・時間・方法に依存する。
English
This systematic review analyzes geospatial assessments of climate variability impacts on agricultural systems and carbon sequestration under regenerative farming practices. Reviewing 61 peer-reviewed studies, it finds remote sensing and GIS dominate, but field validation is lacking and regions like Sub-Saharan Africa are underrepresented. Regenerative agriculture generally increases carbon sequestration, but effectiveness is context-dependent.
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
日本では再生農業への関心が高まっているが、SSBJやカーボンプライシングなど制度面との連携は限定的。本レビューは、農業分野での炭素隔離ポテンシャルを評価する手法を俯瞰でき、今後の国内研究や政策検討の基礎資料となり得る。
In the global GX context
Globally, regenerative agriculture is gaining traction as a nature-based climate solution. This review highlights methodological gaps (e.g., lack of field validation, geographic bias) that researchers and practitioners should address to improve carbon sequestration estimates for climate mitigation strategies.
👥 読者別の含意
🔬研究者:Identifies gaps in geospatial methodologies for climate-agriculture-carbon assessments, guiding future integrated research.
🏢実務担当者:Provides an overview of geospatial tools and regenerative practices for carbon sequestration, useful for farm-level planning.
🏛政策担当者:Offers evidence on the potential of regenerative agriculture for carbon mitigation, supporting policy design for land use and climate goals.
📄 Abstract（原文）
Climate variability increasingly threatens agricultural productivity, soil health, and ecosystem stability, while agriculture simultaneously presents significant opportunities for climate change mitigation through carbon sequestration. This study systematically reviews the existing literature on the geospatial assessment of climate variability impacts on agricultural systems and carbon sequestration under regenerative farming practices. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework, scholarly articles published between 2000 and 2025 were collected from Scopus, Web of Science, ScienceDirect, SpringerLink, and Google Scholar. Following screening and eligibility assessment, 61 peer-reviewed studies were included in the qualitative synthesis. The review examines the geographical distribution of studies, geospatial methodologies, climate and carbon indicators, and analytical frameworks applied in the literature. Findings reveal a strong dominance of remote sensing, Geographic Information Systems (GIS), and spatial modelling approaches, with approximately 62% of studies employing remote sensing techniques and 54% using GIS-based analysis. However, only a limited proportion integrated field-based validation, resulting in heavy dependence on indirect indicators such as the Normalized Difference Vegetation Index (NDVI) for estimating soil organic carbon (SOC). The synthesis demonstrates that climate variability, particularly changes in temperature and precipitation patterns, significantly influences crop productivity, soil moisture, and carbon dynamics. Regenerative agricultural practices, including agroforestry, conservation tillage, cover cropping, and diversified crop rotations, generally contribute to increased carbon sequestration and improved soil resilience. Nevertheless, the effectiveness of these practices remains highly context-specific and dependent on environmental conditions, spatial scale, temporal duration, and methodological approaches. The review identifies major structural gaps in the literature, including inadequate integration of climate, agriculture, and carbon dynamics; limited long-term and multiscalar studies; insufficient ground validation; methodological inconsistencies; and substantial geographical underrepresentation of climate-vulnerable regions such as Sub-Saharan Africa. The study concludes that future research should prioritize integrated, multi-scale frameworks combining geospatial technologies, field-based measurements, and advanced modelling techniques to improve the reliability and applicability of climate–agriculture–carbon assessments under regenerative farming systems.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.9734/ajarr/2026/v20i61392first seen 2026-07-02 05:09:27
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