PUKYONG

기후변화에 따른 한국대형선망어업의 생태계 기반 위험도 평가 연구

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Abstract
The purpose of this study is to examine how ecosystem-based fishery assessment approach (EBFA) can contribute to the better understanding of climate change impacts on fisheries. Sea surface temperatures showed increasing patterns and accelerated in recent decades in Korean waters. The recent warming trend was associated with replacement patterns, that is, a decline in cold-water species and an increase in warm-water species, as well as with changes in spatial distribution of fish stocks in the Korean marine ecosystem.
The Korean large purse seine fishery targets chub mackerel, sardines, jack mackerel, and Spanish mackerel, which are major pelagic fish species in Korean waters. The proportion of chub mackerel which is the main target species, was over 60% in the Korean large purse seine fishery. Surface water temperature increased 0.0188°C per year and the total rising rate was 0.752°C per 40years from 1970 to 2009 in the southern sea of Korea, where is main fishing grounds of the Korean large purse seine fishery. The center of fishing grounds of chub mackerel by the Korean large purse seine fishery has moved to the north at the rate of 4.57km/yr during two decades from 1980s to 2000s. The fishing grounds of Spanish mackerel and bluefin tuna moved northwards about 7.1km/yr and 8.13km/yr, respectively. However, the fishing ground of jack mackerel moved to the south during the two decades.
A pragmatic ecosystem-based approach, the Integrated Fisheries Risk Analysis Method for Ecosystems (IFRAME), has been developed with an aim to assess and forecast impacts of climate changes and fishing activities on fish and fisheries of an ecosystem. Using the IFRAME, we constructed the ecosystem structure of the habitat of chub mackerel which includes the fishing area of the Korean large purse seine fishery for 2009, and forecasted the structure for 2059 under climate changes. We analyzed ecological risks by the fishing intensity, based on warming scenarios in 2059.
We adopted climate change scenario of IPCC SRES A1B by GFDL-CM2.0 and MIROC3.2 (Hires) models, and to examine the impacts by fishing mortality (F-value) scenarios in IFRAME. The range of F-value was from zero to double FABC, which is the current F-value. We considered some impact factors on the fish biomass under the climate change as the first step in assessing the effects of climate change on major commercial species of the fishery. We assumed that the fluctuation factors of fish biomass were (1) variations in habitat areas of target species, (2) habitat overlapping ratios between target species and bycatch species, (3) recomposition of demersal ecosystems interacting with pelagic ecosystems, because of the movement of pelagic fish, (4) variations in vertical distribution due to the increased water temperature in water column, (5) changes in lower trophic biomass and production, and (6) biogeochemical effect, such as, ocean acidification, decreases in dissolved oxygen, etc.
We forecasted exploitable biomass of chub mackerel from 2010 to 2099 in the fishing ground of the Korean Exclusive Economic Zone (EEZ). The exploitable biomass was forecasted by two different air-ocean models, which were GFDL-CM2.0 and MIROC3.2 (Hires). Results of this forecasts can be used in the a management-strategy evaluation framework of IFRAME to assess alternative harvest strategy and/or tactics in the rapidly changing marine ecosystem.
Author(s)
이종희
Issued Date
2012
Awarded Date
2012. 8
Type
Dissertation
Publisher
부경대학교
URI
https://repository.pknu.ac.kr:8443/handle/2021.oak/25149
http://pknu.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000001965031
Affiliation
부경대학교 대학원
Department
대학원 수산해양학ㆍ연협동과정
Advisor
장창익
Table Of Contents
목 차

Contentsⅰ
List of Figuresⅳ
List of Tablesⅹ
Abstractⅻ

Ⅰ. 서론1
1.1. 기후변화에 따른 해양생태계의 변화1
1.2. 생태계변화에 따른 관리방안3

Ⅱ. 한국주변수역의 대형선망어업의 어장변화와 변동예측7
1. 서론7
2. 자료 및 방법9
2.1. 어장분포9
2.2. 어장변동예측12
2.2.1. 타원어장 이동12
2.2.2. 기후변화 시나리오에 따른 어장의 이동14
3. 결과16
3.1. 한국주변 수역의 수온분포 및 수온변화16
3.2. 대형선망어업 주요 어종의 어장분포 및 변화21
3.3. 대형선망어업 주요 어종의 어장변동 예측32
3.3.1. 타원어장변동 예측29
3.3.2. 수온상승에 따른 어장변동 예측32
4. 고찰38

Ⅲ. 하위생태계 변동 추정43
1. 서론43
2. 자료 및 방법44
2.1. NEMURO 모델44
2.2. 입력자료44
2.3. 추정방법45
3. 결과50
3.1. 식물플랑크톤 실측치와 모델 추정치 사이의 관계50
3.2. 동식물플랑크톤의 생체량과 생산량-생체량 비의 추정50
4. 고찰56

Ⅳ. 기후변화에 따른 대형선망어업의 어획가능자원량 예측59
1. 서론59
2. 자료 및 방법60
2.1. 생태계 구조 모델의 구축60
2.2. Hindcast를 통한 모델 검정63
2.3. 기후변화에 따른 어획가능자원량 변동 요인64
2.3.1. 고등어의 어장변화67
2.3.2. 고등어와 부수어획종 사이의 어장중복율67
2.3.3. 표영생태계 어장이동에 따른 저서생태계의 변화68
2.3.4. 어장의 연직분포 변화71
2.3.5. 하위생태계 변화71
2.3.6. 기후변화에 따른 생지화학적 효과71
2.4. 대형선망어업의 어획강도 조절에 따른 어획가능자원량 변동 예측74
2.5. 자원변동인자에 의한 어획가능자원량의 민감도 분석74
3. 결과75
3.1. Hindcast를 통한 모델 검정75
3.2. 기후변화 시나리오에 따른 주요 어종의 어획가능자원량 예측79
3.3. 대형선망어업 어획강도에 따른 고등어의 어획가능자원량 변동 예측82
3.4. 자원변동인자의 민감도 분석85
4. 고찰88

Ⅴ. 기후변화에 따른 생태계위험도 평가92
1. 서론92
2. 자료 및 방법95
3. 결과99
3.1. 고등어의 어종위험도 평가99
3.2. 참다랑어의 어종위험도 평가99
3.3. 대형선망어업의 어업위험도 평가116
3.4. 위험도 지수에 따른 적정어획강도 예측120
4. 고찰124

Ⅵ. 종합고찰126

Ⅶ. 참고문헌128
Degree
Doctor
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