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Adapting Fisheries Management to the Future: Quantifying Spatiotemporal Responses of Forage Fishes to Climate Change
Adapting Fisheries Management to the Future: Quantifying Spatiotemporal Responses of Forage Fishes to Climate Change
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260202104821
- ISBN
- 9798293824748
- DDC
- 333.7
- 서명/저자
- Adapting Fisheries Management to the Future: Quantifying Spatiotemporal Responses of Forage Fishes to Climate Change
- 발행사항
- [Sl] : Cornell University, 2025
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2025
- 형태사항
- 197 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 87-03, Section: B.
- 주기사항
- Advisor: Sullivan, Patrick.
- 학위논문주기
- Thesis (Ph.D.)--Cornell University, 2025.
- 초록/해제
- 요약Fisheries stock assessments depend on data about species' population size, harvest rates, and geographic distribution to estimate how many fish are present and where they are located. These assessments are also shaped by assumptions about the timing and location of key biological processes. However, increasing climate variability is shifting the distribution, abundance, and biological traits of marine species, challenging those assumptions. Incorporating spatial and temporal dynamics into assessments can help reduce uncertainty and support more effective, adaptive management decisions. My dissertation explored the range of practical approaches for integrating spatial information into US marine fisheries stock assessments and the factors that support their implementation. I applied some of these approaches to examine the recent increase in Atlantic menhaden (Brevoortia tyrannus) landings in the northeastern US- an important forage fish for marine fishes, mammals, and birds along the east coast. Results show that spatiotemporal methods are used most often in stock assessments of large-bodied, pelagic, and commercially valuable species, largely due to the availability of data, resources, and regional management structures to support implementation. Spatiotemporal analyses reveal that although Atlantic menhaden is expanding northward, and warming water temperature is a factor, their distribution remains highly patchy and variable. This suggests that additional ecological factors, potentially operating at local scales, may play a role in predicting menhaden distribution and should be considered when projecting future trends. While a comprehensive spatiotemporal understanding of a fishery may require high-resolution data that exceed available resources, informed decisions that balance management needs with data quality and uncertainty can still drive meaningful improvements.
- 일반주제명
- Ecology
- 일반주제명
- Marine geology
- 일반주제명
- Climate change
- 키워드
- Marine biology
- 키워드
- Marine ecology
- 기타저자
- Cornell University Natural Resources
- 기본자료저록
- Dissertations Abstracts International. 87-03B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■00520260202104821
■006m o d
■007cr#unu||||||||
■020 ▼a9798293824748
■035 ▼a(MiAaPQ)AAI32169176
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a333.7
■1001 ▼aMorano, Janelle Lara.▼0(orcid)0000-0001-5950-3313
■24510▼aAdapting Fisheries Management to the Future: Quantifying Spatiotemporal Responses of Forage Fishes to Climate Change
■260 ▼a[Sl]▼bCornell University▼c2025
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2025
■300 ▼a197 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 87-03, Section: B.
■500 ▼aAdvisor: Sullivan, Patrick.
■5021 ▼aThesis (Ph.D.)--Cornell University, 2025.
■520 ▼aFisheries stock assessments depend on data about species' population size, harvest rates, and geographic distribution to estimate how many fish are present and where they are located. These assessments are also shaped by assumptions about the timing and location of key biological processes. However, increasing climate variability is shifting the distribution, abundance, and biological traits of marine species, challenging those assumptions. Incorporating spatial and temporal dynamics into assessments can help reduce uncertainty and support more effective, adaptive management decisions. My dissertation explored the range of practical approaches for integrating spatial information into US marine fisheries stock assessments and the factors that support their implementation. I applied some of these approaches to examine the recent increase in Atlantic menhaden (Brevoortia tyrannus) landings in the northeastern US- an important forage fish for marine fishes, mammals, and birds along the east coast. Results show that spatiotemporal methods are used most often in stock assessments of large-bodied, pelagic, and commercially valuable species, largely due to the availability of data, resources, and regional management structures to support implementation. Spatiotemporal analyses reveal that although Atlantic menhaden is expanding northward, and warming water temperature is a factor, their distribution remains highly patchy and variable. This suggests that additional ecological factors, potentially operating at local scales, may play a role in predicting menhaden distribution and should be considered when projecting future trends. While a comprehensive spatiotemporal understanding of a fishery may require high-resolution data that exceed available resources, informed decisions that balance management needs with data quality and uncertainty can still drive meaningful improvements.
■590 ▼aSchool code: 0058.
■650 4▼aNatural resource management
■650 4▼aEcology
■650 4▼aMarine geology
■650 4▼aClimate change
■653 ▼aFisheries management
■653 ▼aMarine biology
■653 ▼aMarine ecology
■653 ▼aPopulation dynamics
■653 ▼aQuantitative ecology
■653 ▼aSpatiotemporal method
■690 ▼a0528
■690 ▼a0329
■690 ▼a0404
■690 ▼a0556
■71020▼aCornell University▼bNatural Resources.
■7730 ▼tDissertations Abstracts International▼g87-03B.
■790 ▼a0058
■791 ▼aPh.D.
■792 ▼a2025
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17359006▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
