Aquaculture, Fish and Fisheries最新文献_第5页

Cage Aquaculture Influences the Abundance and Diversity of Pelagic and Benthic Macroinvertebrate Communities: Insights From Anyanga Beach, Lake Victoria, Kenya 网箱养殖影响远洋和底栖大型无脊椎动物群落的丰度和多样性：来自肯尼亚维多利亚湖Anyanga海滩的见解

IF 1.9

Aquaculture, Fish and Fisheries Pub Date : 2026-06-01 DOI: 10.1002/aff2.70264

Alice A. Hamisi, Erick O. Ogello, Portas Olwande

{"title":"Cage Aquaculture Influences the Abundance and Diversity of Pelagic and Benthic Macroinvertebrate Communities: Insights From Anyanga Beach, Lake Victoria, Kenya","authors":"Alice A. Hamisi, Erick O. Ogello, Portas Olwande","doi":"10.1002/aff2.70264","DOIUrl":"https://doi.org/10.1002/aff2.70264","url":null,"abstract":"Cage aquaculture is expanding in Lake Victoria to meet increasing fish demand, yet ecological impacts remain a concern. This study assessed the effects of cage aquaculture on water quality and the abundance and diversity of pelagic and benthic macroinvertebrates at Anyanga Beach, Lake Victoria, Kenya. A comparative field design was applied, sampling conducted monthly from November 2024 to January 2025 at cage and control sites. Water quality parameters were measured in situ, while benthic macroinvertebrates were collected using an Ekman grab and pelagic macroinvertebrates using a plankton net. All organisms identified and analysed as family-level operational taxonomic units to maintain consistent taxonomic resolution across samples. Data analysed using independent-samples t-tests, Shannon–Wiener diversity indices, correlation, multiple regression, and linear mixed-effects models at α = 0.05. Significant differences in water quality were observed between sites. Dissolved oxygen was lower at cage sites (t = −30.154, p < 0.001), while conductivity, chlorophyll a, total nitrogen and ammonium-nitrogen were significantly higher (t = 29.703–42.104, p < 0.001). Transparency and silicate were higher at control sites (t = −38.872 and −25.377, p < 0.001). Macroinvertebrate communities at cage sites were dominated by pollution-tolerant groups, particularly Chironomidae and Oligochaete taxa, whereas relatively sensitive families, including Baetidae, Hydropsychidae and Caenidae, were more abundant at control sites (p < 0.001). Diversity was significantly lower at cage sites for both benthic (2.24 ± 0.02 vs. 2.38 ± 0.01; p < 0.001) and pelagic communities (2.78 ± 0.01 vs. 2.80 ± 0.01; p < 0.05). Linear mixed-effects models identified ammonium as a key driver, negatively influencing pelagic abundance (β = −3.708, p = 0.034), benthic abundance decreased with temperature and chlorophyll a but increased with transparency, total nitrogen and ammonium. These findings indicate that nutrient enrichment from cage aquaculture alters water quality and macroinvertebrate communities, emphasizing need for improved management.","PeriodicalId":100114,"journal":{"name":"Aquaculture, Fish and Fisheries","volume":"6 3","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aff2.70264","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148173909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Distrust as a Driver of Survey Nonresponse: Implications for Fisheries Data Collection and Management in the Northeast United States 不信任是调查不回应的驱动因素：对美国东北部渔业数据收集和管理的影响

IF 1.9

Aquaculture, Fish and Fisheries Pub Date : 2026-05-31 DOI: 10.1002/aff2.70251

Elizabeth D. Conley, Gregory Ardini, Samantha Werner

{"title":"Distrust as a Driver of Survey Nonresponse: Implications for Fisheries Data Collection and Management in the Northeast United States","authors":"Elizabeth D. Conley, Gregory Ardini, Samantha Werner","doi":"10.1002/aff2.70251","DOIUrl":"https://doi.org/10.1002/aff2.70251","url":null,"abstract":"The Greater Atlantic Region Commercial Fishing Business Cost Survey (Cost Survey) collects essential cost information from federally permitted commercial fishing vessel owners in the Northeast United States to inform management decisions and meet the data needs of multiple statutory requirements. Despite design improvements and a heightened focus on limiting burden on participants prior to the most recent survey effort, the 2022 Cost Survey yielded a lower-than-anticipated response rate of 14.8%. When nonresponse is systematic, the data collected may not accurately reflect the full range of economic conditions across fishing fleets, making nonresponse an important area to investigate and mitigate. A nonresponse postcard was distributed for the first time in the Cost Survey's history to investigate the following research objectives: understand survey nonresponders' motivations for choosing not to participate in the effort, explain the dynamic between harvesters and managers using qualitative analysis, and identify actions that can be used to enhance voluntary research participation and relationships among all stakeholders. The results indicate that distrust of the National Oceanic and Atmospheric Administration (NOAA) Fisheries was the primary reason for nonresponse. Qualitative analysis of open-ended comments identified recurring themes, including concerns about the use of sensitive financial information and an overall dissatisfaction with NOAA Fisheries in the region due to perceptions of overregulation and misaligned management priorities. This research can be used as a case study for both identifying and analysing participation barriers to fisheries data collection and provides diagnostic indicators of broader management challenges. The importance of qualitative analysis is showcased to bridge knowledge gaps between stakeholders and managers in a natural resource context. Approaches are suggested for improving survey engagement, strengthening stakeholder trust and ultimately enhancing the quality of economic data available for cost-based policy decisions.","PeriodicalId":100114,"journal":{"name":"Aquaculture, Fish and Fisheries","volume":"6 3","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aff2.70251","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148167104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IF 1.9

Aquaculture, Fish and Fisheries Pub Date : 2026-05-25