How to Assess the Ecological Status of Highly Humic Lakes? Development of a New Method Based on Benthic Invertebrates
Autor: | Ilga Kokorite, Sandra Poikane, Jolanta Jēkabsone, Dāvis Ozoliņš, Agnija Skuja, Andris Avotins |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
0106 biological sciences
ecological status assessment lcsh:TD201-500 lcsh:Hydraulic engineering Ecology 010604 marine biology & hydrobiology Geography Planning and Development macroinvertebrates Ecological assessment Aquatic Science 010603 evolutionary biology 01 natural sciences Biochemistry Biological monitoring working party Macrophyte lcsh:Water supply for domestic and industrial purposes Habitat Benthic zone lcsh:TC1-978 Littoral zone Environmental science Profundal zone Species richness highly humic lakes Water Science and Technology |
Zdroj: | Water, Vol 13, Iss 223, p 223 (2021) Water Volume 13 Issue 2 |
ISSN: | 2073-4441 |
Popis: | Highly humic lakes are typical for the boreal zone. These unique ecosystems are characterised as relatively undisturbed habitats with brown water, high acidity, low nutrient content and lack of macrophytes. Current lake assessment methods are not appropriate for ecological assessment of highly humic lakes because of their unique properties and differing human pressures acting on these ecosystems. This study proposes a new approach suitable for the ecological status assessment of highly humic lakes impacted by hydrological modifications. Altogether, 52 macroinvertebrate samples from 15 raised bog lakes were used to develop the method. The studied lakes are located in the raised bogs at the central and eastern parts of Latvia. Altered water level was found as the main threat to the humic lake habitats since no other pressures were established. A multimetric index based on macroinvertebrate abundance, littoral and profundal preferences, Coleoptera taxa richness and the Biological Monitoring Working Party (BMWP) Score is suggested as the most suitable tool to assess the ecological quality of the highly humic lakes. |
Databáze: | OpenAIRE |
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