2016
DOI: 10.4081/jlimnol.2016.1381
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Phytoplankton assemblages in Lake Orta: has functional structure recovered in one of the largest acidic lakes in the world?

Abstract: Lake Orta (Northern Italy) to 2001. Phytoplankton was classified according the Reynolds' Morpho Functional Groups and five diversity indices were calculated (S, number of units; H, Shannon-Wiener; E, evenness; D, dominance; J, equitability). SHE analysis (an analysis of diversity changes based on the relationship among species richness (S), H Index (H) and evenness (E)) was also carried out, in order to compare the long term trend of both functional groups and taxa biodiversity. Both taxonomic and the func… Show more

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Cited by 4 publications
(3 citation statements)
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“…In particular, many phytoplankton species that inhabit Lake Maggiore are now re-appearing in Lake Orta. However, the phytoplankton assemblages still have a peculiar structure, only partially resembling the taxonomic and functional composition of nearby Lake Maggiore (Morabito, 2016).…”
Section: Water Temperature Trophic State and Phytoplanktonmentioning
confidence: 99%
“…In particular, many phytoplankton species that inhabit Lake Maggiore are now re-appearing in Lake Orta. However, the phytoplankton assemblages still have a peculiar structure, only partially resembling the taxonomic and functional composition of nearby Lake Maggiore (Morabito, 2016).…”
Section: Water Temperature Trophic State and Phytoplanktonmentioning
confidence: 99%
“…These data permit a longer-term evaluation of both the response of the lake to the restorative interventions, and an assessment of the present state of lake's acid-base and trophic status. This information, coupled with that from the studies about the biological communities (Morabito, 2016;Piscia et al, 2016) contributes to the definition of the lake ecological and chemical status. Furthermore, an in-depth knowledge of the lake chemical and trophic status is a precondition for the planning of any restoration measure, such as fish introduction (Volta et al, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…SHE analysis was carried out to examine the relationship between S (species richness), H (Shannon diversity), and E (evenness or dominance) in the samples, in order to compare the long-term trend in taxa biodiversity. The advantage of the SHE analysis was that it allowed for the separation of di-versity into two components, species richness (S) and evenness (E), within the same system and at the same time, so their mutual relationships could be described to explain the changes in biodiversity represented by the H index (Morabito 2016). We used PAST 3.07, SPSS (version 16.0) and Statistica (version 8) for the statistical computations.…”
Section: Data Analysesmentioning
confidence: 99%