Data-driven climate-smart strategies for boosting crop yield and minimizing greenhouse gas emissions by optimizing cropping systems and fertilization practices
データ駆動型の気候スマート戦略：作付体系と施肥の最適化による収量向上と温室効果ガス排出削減 (AI 翻訳)
Wentao Wu
🤖 gxceed AI 要約
日本語
本研究は中国の北京・天津・河北地域を対象に、作付体系と窒素施肥管理の最適化を通じて作物収量を増加させつつ温室効果ガス排出を削減するデータ駆動型の気候スマート戦略を探求した。APSIMモデルを用いて40年間のシミュレーションを実施し、冬小麦-夏トウモロコシ二毛作体系と中程度の施肥が最も高い気候レジリエンス指標（0.65）を示すことを明らかにした。この結果は、適応的かつ持続可能な農業システムの構築における作付体系と施肥管理の統合的アプローチの重要性を示している。
English
This study investigates data-driven climate-smart strategies for optimizing cropping systems and nitrogen management in China's Beijing-Tianjin-Hebei region to increase crop yields and reduce greenhouse gas emissions. Using the APSIM model, the study simulates 40 years of crop yield, soil organic carbon, and N2O emissions across three cropping systems and four fertilization treatments. The winter wheat-summer maize double-cropping system with moderate fertilization achieves the highest climate resilient index of 0.65, highlighting the importance of integrating cropping systems with judicious nutrient management for sustainable agriculture.
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
中国の事例ではあるが、日本の農業分野でも気候変動適応とGHG削減は喫緊の課題である。本論文で示されたデータ駆動型の作付・施肥最適化手法は、日本国内の地域特性に応じた気候スマート農業の実装に示唆を与える。
In the global GX context
This paper presents a case study from China on optimizing cropping systems and fertilization to balance crop yield and greenhouse gas emissions. Globally, it contributes to the growing body of climate-smart agriculture literature by demonstrating a data-driven modeling approach that can be adapted to other regions. The findings underscore the need for integrated management strategies to achieve agricultural sustainability under climate change.
👥 読者別の含意
🔬研究者:This study provides a modeling framework and empirical evidence on the trade-offs between crop yield and N2O emissions under different cropping systems and fertilization levels.
🏢実務担当者:Farmers and agricultural advisors can use the identified optimal system (wheat-maize double-cropping with moderate fertilization) as a benchmark for improving productivity and reducing environmental impact.
🏛政策担当者:Policymakers can consider the integration of cropping system design and nutrient management as a strategy to meet agricultural production and emission reduction targets.
📄 Abstract（原文）
The conflict between food production and environmental protection calls for climate-smart agricultural solutions. This study investigated data-driven climate-smart strategies for optimizing cropping systems and nitrogen management to increase crop yield and cut greenhouse gas emissions in China’s Beijing-Tianjin-Hebei (BTH) region, which is grappling with pronounced climatic and environmental challenges. The study evaluated three cropping systems: spring maize monoculture (M), winter wheat followed by summer maize double-cropping (WM), and a triple-cropping system encompassing winter wheat, summer maize, and spring maize (WMM). Additionally, four nitrogen fertilization treatments were assessed to understand their impacts. The crop climate resilient index was created to identify the optimal management practices. Leveraging the Agricultural Production Systems sIMulator (APSIM) model, this study simulated the daily dynamics of crop yields, soil organic carbon (SOC) content, and nitrous oxide (N₂O) emissions over a comprehensive 40-year period spanning from 1981 to 2020. The findings revealed intriguing insights into SOC dynamics and nitrogen fertilizer efficiency. Across all cropping systems, the SOC content augmented with increased nitrogen application, with peak levels reaching 294.9 kg·ha ⁻ ¹ under the highest fertilization treatment. The N₂O emissions displayed an upward trend over time, positively correlated with escalating fertilizer use. Regarding crop yields, higher nitrogen inputs generally correlated with enhanced productivity. Overall, the WM system, when coupled with F2 treatment (90 kg·ha ⁻ ¹ for wheat and 60 kg·ha ⁻ ¹ for maize), emerged as the optimal scenario, achieving the highest climate resilient index value of 0.65. These findings underscore the profound importance of integrating cropping systems with judicious nutrient management in developing agricultural systems that are adaptive, productive, and environmentally sustainable. By adopting such practices, farmers in the BTH region and similar climates can achieve agricultural clean production that is robust enough to withstand climate variability and contribute to global efforts towards food security and ecological preservation. As the climate continues to evolve, the precision and holistic application of these strategies will be crucial in maintaining the vitality and productivity of agricultural landscapes.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.1371/journal.pone.0352144first seen 2026-06-24 05:46:30
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