Pregled bibliografske jedinice broj: 1187299
Introducing a zooplanktonic index for assessing water quality of natural lakes in the Mediterranean region
Introducing a zooplanktonic index for assessing water quality of natural lakes in the Mediterranean region // Ecological informatics, 69 (2022), 101616, 35 doi:10.1016/j.ecoinf.2022.101616 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1187299 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Introducing a zooplanktonic index for assessing
water quality of
natural lakes in the Mediterranean region
Autori
Stamou, Georgia ; Mazaris, Antonios D. ; Moustaka- Gouni, Maria ; Špoljar, Maria ; Ternjej, Ivančica ; Dražina, Tvrtko ; Dorak, Zeynep ; Michaloudi, Evangelia
Izvornik
Ecological informatics (1574-9541) 69
(2022);
101616, 35
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Zoo-IQ, multi-metric index, zooplankton communities, zooplankton metrics
Sažetak
In the pelagic food web of lakes, zooplankton offers the linkage between phytoplankton and fish, greatly affecting but also mirroring the functionality and stability of the ecosystem. Despite the increased interest on the development of water quality indices, incorporating zooplankton data on metrics used for the assessment of natural lakes remains a challenge. Here, we used information of natural lakes hosted in Eastern Mediterranean on zooplankton abundance, biomass, body weight and cladocerans' ratio to develop a novel zooplanktonic index (Zoo-IQ). Α 5- grade classification scheme was generated (Bad ≤6, 6 < Poor ≤10, 10 < Moderate ≤14, 14 < Good ≤18, 18 < High) for water quality assessment. The Zoo-IQ was originally parametrized based on data collected from 13 natural lakes, located in Greece and successfully classified hypertrophic lakes with poor quality and deep lakes with good quality, while it identified lakes subjected to restoration actions. Using independent data from five lakes hosted in Greece, Turkey and Croatia, Zoo-IQ successfully assessed their water quality. Specifically, from the 25 sampling cases, used for the development and the evaluation of the index, Zoo-IQ identified 5 as good, 8 as moderate, 11 as poor and 1 as bad. Our results demonstrate the potential of using Zoo-IQ for the assessment of lakes water quality in the Mediterranean. The proposed index could serve as a first step towards the development of similar indices in other climatic zones.
Izvorni jezik
Engleski
Znanstvena područja
Biologija
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
