Assessment of trophic status of the northeastern Mediterranean coastal waters: eutrophication classification tools revisited

被引:0
|
作者
Suleyman Tugrul
Koray Ozhan
Ismail Akcay
机构
[1] Middle East Technical University-Institute of Marine Sciences,
关键词
Eutrophication; Northeastern Mediterranean; Nutrients; Trophic status assessment;
D O I
暂无
中图分类号
学科分类号
摘要
The Eastern Mediterranean and its Cilician Basin offshore waters have oligotrophic features with low nutrient concentrations, low primary production, and high water transparency. However, the wide shelf area of the Cilician Basin is subject to contaminated river inflows with enhanced nutrient loads and direct discharges of urban wastewaters of southern Turkey, leading to develop local eutrophic/mesotrophic conditions in the inner sites of Mersin and Iskenderun Bays on the Cilician Basin. For the assessment of changing trophic status of the coastal and the bay water bodies under anthropogenic pressures since the 1980s, five extensive field studies were performed in summer and winter periods of 2014, 2015, and 2016. Physical and eutrophication-related biochemical parameters (salinity, temperature, Secchi Disk Depth, nutrients, dissolved oxygen, chlorophyll-a) were measured at 65 stations in different water bodies occupying the Northeastern (NE) Mediterranean coastal, offshore areas and bays. The collected data sets were used in scaling the trophic status of the visited water bodies of NE Mediterranean coastal, offshore areas and semi-enclosed bays, using novel classification tools of Trophic Index (TRIX), Eutrophication Index (E.I.), chl-a, and HELCOM Eutrophication Assessment Tool (HEAT), developed by different experts for highly productive seas. These tools, which can successfully classify highly productive coastal water masses under human pressures, and their sensitivities have been tested for scaling of the current trophic status of the NE Mediterranean coastal water bodies being subject to human pressures. The scaling results of classical TRIX, E.I., and chl-a indices in the NE Mediterranean water masses are not sensitive enough to differentiate mesotrophic and eutrophic water bodies because these indices principally assume to have higher concentrations of eutrophication-related parameters in the least effected (reference) water bodies. The HEAT tool, which uses a site-specific “reference value” for each eutrophication-indicator, has allowed us to produce more reliable and sensitive scaling of the current trophic status of the NE Mediterranean shelf areas, even though we used only the “reference values” derived from the composite data sets. The results of the indices were compared with the HEAT tool and the actual status was assessed from observations, indicating revision requirements of the multi-metric classification tools. For this goal, scales of natural (oligotrophic) and anthropogenic (eutrophic) levels of eutrophication indicators should be determined at a sub-basin scale using long-term site-specific observations in the NE Mediterranean. The revised scale ranges of TRIX for oligotrophic, mesotrophic, and eutrophic water bodies of Mersin Bay are in line with ranges of TRIX classification tool proposed for Aegean Sea waters, which can be used to assess trophic status of the entire Eastern Mediterranean and Aegean coastal seas (surface salinity > 37.5) having oligotrophic properties in the offshore waters.
引用
收藏
页码:14742 / 14754
页数:12
相关论文
共 50 条
  • [21] Trophic role and carbon budget of metazoan microplankton in northwest Mediterranean coastal waters
    Almeda, Rodrigo
    Calbet, Albert
    Alcaraz, Miquel
    Saiz, Enric
    Trepat, Isabel
    Arin, Laura
    Movilla, Juancho
    Salo, Violeta
    LIMNOLOGY AND OCEANOGRAPHY, 2011, 56 (01) : 415 - 430
  • [22] Zooplankton abundance, biomass, and size structure in the coastal waters of the northeastern Mediterranean Sea
    Terbiyik Kurt, Tuba
    Polat, Sevim
    TURKISH JOURNAL OF ZOOLOGY, 2015, 39 (03) : 378 - 387
  • [23] Integrated risk assessment approach for eutrophication in coastal waters: Case of Baltic Sea
    Njock, Pierre Guy Atangana
    Zhou, Annan
    Yin, Zhenyu
    Shen, Shui-Long
    JOURNAL OF CLEANER PRODUCTION, 2023, 387
  • [24] A satellite ocean color observation operator system for eutrophication assessment in coastal waters
    Banks, Andrew Clive
    Prunet, Pascal
    Chimot, Julien
    Pina, Pedro
    Donnadille, Jerome
    Jeansou, Eric
    Lux, Muriel
    Petihakis, Giorgos
    Korres, Gerasimos
    Triantafyllou, Giorgos
    Fontana, Clement
    Estournel, Claude
    Ulses, Caroline
    Fernandez, Luis
    JOURNAL OF MARINE SYSTEMS, 2012, 94 : S2 - S15
  • [25] A revisitation of TRIX for trophic status assessment in the light of the European Water Framework Directive: Application to Italian coastal waters
    Pettine, Maurizio
    Casentini, Barbara
    Fazi, Stefano
    Giovanardi, Franco
    Pagnotta, Romano
    MARINE POLLUTION BULLETIN, 2007, 54 (09) : 1413 - 1426
  • [26] Defining the Trophic Status of Maltese (Central Mediterranean) Coastal Waters through the Computation of Water Quality Indices Based on Satellite Data
    Farrugia, Hazel
    Deidun, Alan
    Gauci, Adam
    Drago, Aldo
    JOURNAL OF COASTAL RESEARCH, 2016, : 632 - 636
  • [27] Assessment of eutrophication in Skagerrak coastal waters using oxygen consumption in fjordic basins
    Aure, J
    Danielssen, D
    Saetre, R
    ICES JOURNAL OF MARINE SCIENCE, 1996, 53 (03) : 589 - 595
  • [28] Preferences of phytoplankton groups for waters of different trophic status in the northwestern Mediterranean Sea
    Latasa, Mikel
    Scharek, Renate
    Vidal, Montserrat
    Vila-Reixach, Gemma
    Gutierrez-Rodriguez, Andres
    Emelianov, Mikhail
    Gasol, Josep M.
    MARINE ECOLOGY PROGRESS SERIES, 2010, 407 : 27 - 42
  • [29] Classification of the Caspian Sea coastal waters based on trophic index and numerical analysis
    Shahrban, Mahshid
    Etemad-Shahidi, Amir
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2010, 164 (1-4) : 349 - 356
  • [30] Classification of the Caspian Sea coastal waters based on trophic index and numerical analysis
    Mahshid Shahrban
    Amir Etemad-Shahidi
    Environmental Monitoring and Assessment, 2010, 164 : 349 - 356