인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
Rice cultivation is a significant source of methane emissions, contributing substantially to the agricultural sector's greenhouse gas inventory. In this study, we applied the DeNitrification-DeComposition (DNDC) model to simulate greenhouse gas emissions from rice paddies in South Korea, analyzing spatial and temporal changes under various Shared Socioeconomic Pathways (SSP) climate scenarios. Our results indicate that soil organic carbon is the most influential factor driving emissions, with regions rich in organic carbon showing the highest levels of methane emissions. Under the SSP1-2.6 scenario, which assumes strong climate mitigation efforts, emissions increase slightly in early decades (2030s ~ 2050s) but stabilize in later decades (2050s ~ 2070s). In contrast, the SSP5-8.5 scenario, characterized by minimal climate action, projects a significant rise in emissions throughout the 21st century. Spatial analysis reveals that regions with high emissions per hectare do not necessarily have the highest total emissions, as total emissions are also influenced by the extent of cultivated land. Traditional rice-growing regions along the west coast, despite lower per-hectare emissions, show higher total emissions due to their larger cultivation areas. These findings underscore the need for targeted mitigation strategies that address both emission intensity and scale, highlighting the importance of soil organic carbon management. Our study offers valuable insights for sustainable agricultural policies aimed at reducing greenhouse gas emissions while maintaining productivity in the face of climate change.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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UCI(KEPA) : I410-151-25-02-092199711
