Journals / Turkish Journal of Zoology / 2021 / Cilt: 45 - Sayı: 3

Exploring the dynamics of small pelagic fish catches in the Marmara Sea in relation to changing environmental and bio-optical parameters

Pages
257–265
Publication Date
2022-11-01
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Overall, the results indicated that the decreases in thefisheries catches were strongly correlated with the environmental and environmentally-influenced bio-optical parameters and fisheriesmanagement practices should consider environmental aspects of the ecosystem in addition to conventional fisheries regulations.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The Marmara Sea has a large drainage basin that includes cities with heavy industrialisation and agricultural land use.
📊
Key Findings & Data:Therefore,it is under the influence of significant anthropogenic activities that adversely affect the well-being of its ecosystem.
💡
Conclusion & Impact:Overall, the results indicated that the decreases in thefisheries catches were strongly correlated with the environmental and environmentally-influenced bio-optical parameters and fisheriesmanagement practices should consider environmental aspects of the ecosystem in addition to conventional fisheries regulations.
🔬Design:Research Article
📍Scope:2000 Verileri
⚙️Variables:Domain Parameters

Abstract

The Marmara Sea has a large drainage basin that includes cities with heavy industrialisation and agricultural land use. Therefore,it is under the influence of significant anthropogenic activities that adversely affect the well-being of its ecosystem. The Marmara Sea isalso an important fishing ground with many commercially important fish species. These fish species are also under the influence of theadverse impacts of anthropogenic activities. Fisheries catches in the Marmara Sea had experienced severe fluctuations since the onsetof the 2000s. In this study, possible underlying reasons for these fluctuations were investigated between 2000 and 2019 using remotelysensed environmental and environmentally-influenced bio-optical parameters and fishery statistics. First, long-term inter-annualchanges in the time series of sea surface temperature (SST), chlorophyll-a (Chl-a) concentration, net primary productivity (NPP), fishingeffort, and catches of commercially important fish species, i.e. anchovy, sprat, Mediterranean and Atlantic horse mackerels and sardine,were scrutinised using trend analysis. Then, relationships between species’ catches and the changes in the SST, Chl-a concentration,NPP, and fishing effort were investigated using correlation analysis. The results of the trend analysis showed that there were statisticallysignificant declines in the catches of Mediterranean horse mackerel, sprat, and the total catch of the investigated species, although thedecrease in the fishing effort was statistically not significant. The analysis of relationships between the environmental and bio-opticalparameters and fishery statistics indicated that SST had statistically significant negative and NPP had statistically significant positivecorrelations with the catches of anchovy, sprat, and Mediterranean horse mackerel. Overall, the results indicated that the decreases in thefisheries catches were strongly correlated with the environmental and environmentally-influenced bio-optical parameters and fisheriesmanagement practices should consider environmental aspects of the ecosystem in addition to conventional fisheries regulations.

🔖

Cite This Article

AKOĞLU, E. (2022). Exploring the dynamics of small pelagic fish catches in the Marmara Sea in relation to changing environmental and bio-optical parameters. Turkish Journal of Zoology, Cilt: 45 - Sayı: 3, 257–265. https://ajindex.com/articles/615948

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (6)

  1. Abaunza P, Gordo L, Karlou-Riga C, Murta A, Eltink AT et al. (2003). Growth and reproduction of horse mackerel, Trachurus trachurus (Carangidae). Reviews in Fish Biology and Fisheries 13 (1): 27-61. doi: 10.1023/A:1026334532390. Antoine D, Morel A (1996). Oceanic primary production: 1. Adaptation of a spectral light‐photosynthesis model in view of application to satellite chlorophyll observations. Global Biogeochemical Cycles 10 (1): 43-55. doi:10.1029/95GB02831. Ayaz SÇ, Aktaş Ö, Dağlı S, Akça L (2012). Point and diffuse sources of pollution and surface water quality in Marmara Basin of Turkey. In: 21st Century Watershed Technology: Improving Water Quality and Environment Conference Proceedings 2012;
  2. Bari, Italy. p 50. doi:10.13031/2013.41407. Balık İ (2018). Comparatively evaluation of the Sprat (Sprattus sprattus) fisheries in the whole of the Black Sea and in the Turkish Coast of the Black Sea. Turkish Journal of Maritime and Marine Sciences 4 (1): 52-62.
  3. Bayazıt M, Önöz B (2007). To prewhiten or not to prewhiten in trend analysis?. Hydrological Sciences Journal 52 (4): 611-624. doi:10.1623/hysj.52.4.611. Beşiktepe ŞT, Sur Hİ, Özsoy E, Latif MA, Oğuz T et al. (1994). The circulation and hydrography of the Marmara Sea. Progress in Oceanography 34 (4): 285-334. doi:10.1016/0079- 6611(94)90018-3.
  4. Bengil F, Mavruk S (2018). Bio-optical trends of seas around Turkey: An assessment of the spatial and temporal variability. Oceanologia 60 (4): 488-499. doi: 10.1016/j. oceano.2018.03.004. Bronaugh D, Werner A (2019). zyp: Zhang + Yue-Pilon Trends Package. R package version 0.10-1.1. Brosset P, Ménard F, Fromentin JM, Bonhommeau S, Ulses C et al. (2015). Influence of environmental variability and age on the body condition of small pelagic fish in the Gulf of Lions. Marine Ecology Progress Series 529: 219-231. doi:10.3354/ meps11275. Carroll JB (1961). The nature of the data, or how to choose a correlation coefficient. Psychometrika 26 (4): 347-372.
  5. Chassot E, Mélin F, Le Pape O, Gascuel D (2007). Bottom-up control regulates fisheries production at the scale of eco-regions in European seas. Marine Ecology Progress Series 343: 45-55. doi:10.3354/meps06919. Cleveland RB, Cleveland WS, McRae JE, Terpenning I (1990). STL: A seasonal-trend decomposition. Journal of Official Statistics 6 (1): 3-73.
  6. Conti L, Scardi M (2010). Fisheries yield and primary productivity in large marine ecosystems. Marine Ecology Progress Series 410: 233-244. doi: 10.3354/meps08630. Dave AC, L