생태계 기반 어업자원의 시공간적 평가와 예측 연구
- Alternative Title
- A study on the ecosystem-based spatio-temporal assessment and forecasting
- Abstract
- Integrated fisheries risk analysis method for ecosystems (IFRAME) has been developed to accomplish the goals of an ecosystem approach to fisheries (EAF) proposed to overcome the shortcomings of single-species approach. This approach performs an ecosystem-based assessment, forecasting and management incorporating a couple of ecosystem models, such as the ecosystem-based fisheries assessment approach (EBFA) which is an ecosystem risk analysis tool, and the EwE which is a static and dynamic ecosystem modeling. However, this IFRAME approach does not explain spatial variations of ecosystem components.
The IFRAME was extended to assess and forecast ecosystem dynamics and risk indices in a spatiotemporal context in this study. The extended IFRAME has two more components than the original approach. First, a spatial component was added to explain the risk indices by the unit sea block in EBFA. Second, Ecospace, a spatial and temporal dynamic module in EwE model, was added to the forecasting process of the IFRAME. This extended approach was demonstrated by preliminarily applying to the East Sea marine ecosystem, based on four scenarios, considering changes in fishing mortality and habitat preference, which were chosen in the forecasting process.
The GIS-based fisheries resource management system was also developed to help making decisions of relevant fisheries issues (fishing, research, management, etc.). In this system a number of real-time data are collected from marine ecosystem and fisheries, and are stored in the integrated database. The collected data in the database are used for the assessment, forecast and management of fisheries and their resources in a marine ecosystem, which can also be displayed in real-time by the user software spatiotemporarily.
- Author(s)
- 강희중
- Issued Date
- 2018
- Awarded Date
- 2018. 8
- Type
- Dissertation
- Keyword
- ecosystem-based assessment management spatio-temporal forecasting GIS
- Publisher
- 부경대학교
- URI
- https://repository.pknu.ac.kr:8443/handle/2021.oak/14654
http://pknu.dcollection.net/common/orgView/200000117936
- Alternative Author(s)
- Kang Hee-Joong
- Affiliation
- 부경대학교 대학원
- Department
- 대학원 수산물리학과
- Advisor
- 장창익
- Table Of Contents
- List of Figures ii
LIst of Tables vii
Abstract ix
Ⅰ. 서론 1
Ⅱ. 생태계 기반 시공간적 위험도 평가 5
1. 서론 5
2. 자료 및 방법 6
가. 대상 생태계 및 어업 6
나. 생태계 기반 위험도 평가 모델 9
다. 시공간적 분석을 위한 생태계 기반 위험도 평가 모델 13
라. 시공간적 분석을 위한 생태계 기반 위험도 평가 적용 16
3. 결과 21
가. 지표별 위험도 점수 21
나. 목표위험지수 33
다. 종위험지수 39
라. 어업위험지수 39
마. 생태계위험지수 47
4. 고찰 52
Ⅲ. 생태계 기반 시공간적 어업 위험도 예측 54
1. 서론 54
2. 자료 및 방법 54
가. Extended IFRAME 54
나. 생태계 구조, 역학, 공간 모델 59
다. 생태계 기반 위험도 평가 77
3. 결과 79
가. 생태계 구조 79
나. 시공간적 자원량 및 어획량 변동 82
다. 시공간적 지표별 위험도 변동 89
4. 고찰 94
Ⅳ. 생태계 기반 어업 관리 방안 95
1. 서론 95
2. GIS 기반 생태계 통합 어업자원 관리 시스템 96
가. 관리 시스템 체계 96
나. 사용자 소프트웨어 구성 99
3. 고찰 104
참고문헌 107
감사의 글 112
Appendix 113
- Degree
- Doctor
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