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.
초록·키워드
Global climate change is accelerating warming, and our oceans are particularly affected by climate change compared to other regions. By the end of the 21st century, the pace of climate change is expected to accelerate. Therefore, by creating and analyzing basic data for risk assessment in the fisheries sector according to climate change, we intend to lay the foundation for promotion of risk assessment. The Intergovernmental Panel on Climate Change (IPCC) proposes to shift from vulnerability assessment to climate risk management for climate adaptation, and climate risk consists of risk, exposure, and vulnerability. In the fisheries sector, it is difficult to clearly distinguish between sensitivity and adaptability due to the interrelationships among biological attributes, so various definitions and measurement methods are used. In the case of coastal fishing, a precise analysis of water temperature variability and fisheries resource fluctuations due to climate change is required. In the case of aquaculture, it is necessary to develop technology to respond to high water temperatures according to climate risk. To advance the climate risk assessment in the fisheries issues, it is necessary to prepare detailed evaluation indicators according to the definition of IPCC and switch to the AR6 SSP scenario. Therefore, the current climate risk methodology in the fisheries issues will be summarized, and the latest data (fishing production, fisherman survey analysis, model results under climate change scenarios, etc.) will be used to lay the foundation for risk assessment in the fisheries issues according to 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) : I410-151-25-02-091125397
