Lake Phytoplankton Responses to Global Climate Changes

Olrik, Kirsten; Cronberg, Gertrud; Annadotter, Heléne

doi:10.1002/9781118470596.ch11

Cited by 5 publications

(4 citation statements)

References 27 publications

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“…Nutrients arriving from the lake catchment area can stimulate phytoplankton growth, especially in oligo-mesotrophic lakes (Morabito et al, 2012), and, combined with a seasonal increase in water temperature, it would facilitate D. lemmermannii proliferation (Olrik et al, 2012;Salmaso et al, 2015). Calm conditions are known to be advantageous for buoyant cyanobacteria which move toward the euphotic zone in response to reduced turbulent mixing (Jöhnk et al, 2008;Zilius et al, 2014).…”

Section: Wfd Perspectivementioning

confidence: 99%

Mapping phytoplankton blooms in deep subalpine lakes from Sentinel-2A and Landsat-8

et al. 2018

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For effective lakes' management, highfrequent water quality data on a synoptic scale are essential. The aim of this study is to test the suitability of the latest generation of satellite sensors to provide information on lake water quality parameters for the five largest Italian subalpine lakes. In situ data of phytoplankton composition, chlorophyll-a (chl-a) concentration and water reflectance were used in synergy with satellite observations to map some algal blooms in 2016. Chl-a concentration maps were derived from satellite data by applying a bio-optical model to satellite data, previously corrected for atmospheric effects. Results were compared with in situ data, showing good agreement. The shape and magnitude of water reflectance from different satellite data were consistent. Output chl-a concentration maps, show the distribution within each lake during blooming events, suggesting a synoptic view is required for these events monitoring. Maps show the dynamic of bloom events with concentration increasing from 2 up to 7 mg m -3 and dropping again to initial value in less than 20 days. Latest generation sensors were shown to be valuable tools for lakes monitoring, thanks to frequent, free of charge data availability over long time periods.

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Section: Wfd Perspectivementioning

confidence: 99%

Mapping phytoplankton blooms in deep subalpine lakes from Sentinel-2A and Landsat-8

et al. 2018

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“…This increase was mostly found within the Chromulinaceae ( Chromulina spp., Ochromonas spp., and Uroglena spp.). These taxa are mixotrophic, and can engulf bacteria with a much higher utilisation of phosphorus in very low concentrations than other phytoplankton species (Olrik, 1998; Olrik et al., 2013; Veen, 1991). These mixotrophic species might be considered as bioindicators for ongoing environmental change in High Arctic lakes, where phosphorus is a limiting factor for most phytoplankton (Arvola et al., 2011).…”

Section: Discussionmentioning

confidence: 99%

Long‐term phytoplankton dynamics in two High Arctic lakes (north‐east Greenland)

Moedt,

Olrik,

Schmidt

et al. 2024

Freshwater Biology

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Primary producers form the base of lake ecosystems and, due to their often short lifecycles, respond rapidly to changing conditions. As the Arctic is warming nearly four times faster than the global average, we see major shifts in environmental conditions, which impacts lake ecosystem functioning. Previous studies have found a general increase in primary productivity due to climate warming. However, few long‐term studies have included changes in phytoplankton community composition and biomass in relation to warming in Arctic lakes and it therefore remains unclear how different algal taxa and thus the community respond. We investigated how climate warming affects phytoplankton community composition, taxon richness and biomass in High Arctic lakes, using a unique 23‐year data series on phytoplankton in two shallow lakes at Zackenberg, north‐east Greenland, one with Arctic charr (Salvelinus alpinus) and one without fish. We further elucidated the role of physico‐chemical variables and zooplankton grazers in the changes observed. Few major changes were observed in phytoplankton community composition over time, but the year‐to‐year variation was large. Taxon richness did, however, increase throughout the monitoring period, and in both lakes there was a significant increase in diatom biomass coinciding with increasing conductivity. Additionally, phytoplankton biomass was greater during warmer years with earlier ice melt. We further found that nutrient levels were positively associated with the total phytoplankton biomass in both lakes, indicating that expected increased nutrient levels, due to climate change, may lead to a greater phytoplankton biomass in High Arctic lakes in the future. The large year‐to‐year variability, in both climate and environmental conditions, makes it difficult to predict weather patterns and their consequences for lake ecosystems in the Arctic region. This underlines the importance of long‐term monitoring programmes across the circumpolar Arctic and collaboration across regions and institutes within large scale studies.

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“…Integrated samples of phytoplankton were collected from 5 sites in the upper stratification layer of the lake (epilimnion) in August with a plexiglass tube sampler (2 m long, inner diameter 10 cm), pooled and preserved in Lugol’s solution. Phytoplankton counts were made using an inverted light microscope following the modified Utermöhl technique commonly used in Scandinavia [ 38 ]. Taxa were usually identified to the species-level taxonomic unit.…”

Section: Methodsmentioning

confidence: 99%

Parallels of quantum superposition in ecological models: from counterintuitive patterns to eco-evolutionary interpretations of cryptic species

Angeler,

Fried-Petersen

2024

BMC Ecol Evo

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Background Superposition, i.e. the ability of a particle (electron, photon) to occur in different states or positions simultaneously, is a hallmark in the subatomic world of quantum mechanics. Although counterintuitive at first sight, the quantum world has potential to inform macro-systems of people and nature. Using time series and spatial analysis of bird, phytoplankton and benthic invertebrate communities, this paper shows that superposition can occur analogously in redundancy analysis (RDA) frequently used by ecologists. Results We show that within individual ecosystems single species can be associated simultaneously with different orthogonal axes in RDA models, which suggests that they operate in more than one niche spaces. We discuss this counterintuitive result in relation to the statistical and mathematical features of RDA and the recognized limitations with current traditional species concepts based on vegetative morphology. Conclusion We suggest that such “quantum weirdness” in the models is reconcilable with classical ecosystems logic when the focus of research shifts from morphological species to cryptic species that consist of genetically and ecologically differentiated subpopulations. We support our argument with theoretical discussions of eco-evolutionary interpretations that should become testable once suitable data are available.

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Lake Phytoplankton Responses to Global Climate Changes

Cited by 5 publications

References 27 publications

Mapping phytoplankton blooms in deep subalpine lakes from Sentinel-2A and Landsat-8

Mapping phytoplankton blooms in deep subalpine lakes from Sentinel-2A and Landsat-8

Long‐term phytoplankton dynamics in two High Arctic lakes (north‐east Greenland)

Parallels of quantum superposition in ecological models: from counterintuitive patterns to eco-evolutionary interpretations of cryptic species

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