Stream diatom assemblages as predictors of climate

Pajunen, V. Ilmari; Luoto, Miska; Soininen, Janne

doi:10.1111/fwb.12750

Cited by 16 publications

(8 citation statements)

References 63 publications

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“…Geographical location and climatic variables are likely to portray macroclimatic effects on diatom distributions, corroborating previous findings from more southerly Fennoscandia (Pajunen et al, 2016). At this broad scale across Arctic Fennoscandia, our results suggested that the correlates of biodiversity are relatively similar between diatoms and macroinvertebrates, although there are some minor differences in the relative strength of different predictor variables.…”

Section: Discussionsupporting

confidence: 90%

Ecological correlates of riverine diatom and macroinvertebrate alpha and beta diversity across Arctic Fennoscandia

et al. 2020

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1. Arctic freshwaters support biota adapted to the harsh conditions at these latitudes, but the climate is changing rapidly and so are the underlying environmental filters. Currently, we have limited understanding of broad-scale patterns of Arctic riverine biodiversity and the correlates of α-and β-diversity.2. Using information from a database set up within the scope of the Arctic Council's Conservation of Arctic Flora and Fauna Circumpolar Biodiversity Monitoring Plan, we analysed patterns and correlates of α-and β-diversity in benthic diatom and macroinvertebrate communities across northern Norway, Sweden, and Finland.We analysed variation in total β-diversity and its replacement and richness difference components in relation to location of the river reach and its drainage basin (Baltic Sea in the south, the Barents Sea in the east and the north, and the Norwegian Sea in the west), in addition to climate and environmental variables.3. In both macroinvertebrates and diatoms, the replacement and richness difference components showed wide variation. For macroinvertebrates, the richness difference component was the more important, whereas for diatoms, the replacement component was the more important in contributing to variation in β-diversity.There was no significant difference in β-diversity between the three main drainage basins, but species composition differed among the drainage basins.4. Based on the richness difference component of β-diversity, climate variables were most strongly associated with community variation in macroinvertebrates. In diatoms, both environmental and climate variables were strongly correlated with community compositional variation. In both groups, there were also significant differences in α-diversity among the three main drainage basins, and several taxa were significant indicators of one of these drainage basins. Alpha diversity was greater in areas with a continental climate, while the oceanic areas in the west harboured greatly reduced flora and fauna.

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Section: Discussionsupporting

confidence: 90%

Ecological correlates of riverine diatom and macroinvertebrate alpha and beta diversity across Arctic Fennoscandia

et al. 2020

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“…Climate data were related to latitude, longitude and altitude of each study site using multiple linear regression, and downscaling climate data from a 10 × 10 km resolution grid to the study site (Finnish Meteorological Institute; (Venalainen & Heikinheimo, )). We used growing degree days (GDD, defined as temperature > 5 °C), growing season precipitation (GSP; sum from May to September) and water balance (WAB) as climatic variables in this study, as they are known to have an impact on stream diatom communities in Finland (Pajunen et al ., ,b). See further details of chosen climatic variables in Pajunen et al .…”

Section: Methodsmentioning

confidence: 99%

“…We used growing degree days (GDD, defined as temperature > 5°C), growing season precipitation (GSP; sum from May to September) and water balance (WAB) as climatic variables in this study, as they are known to have an impact on stream diatom communities in Finland (Pajunen et al, 2016a,b). See further details of chosen climatic variables in Pajunen et al (2016a).…”

Section: Land Cover and Climate Datamentioning

confidence: 99%

Disentangling multi‐scale environmental effects on stream microbial communities

Jyrkänkallio‐Mikkola

Meier

Heino

et al. 2017

Journal of Biogeography

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Aim Climate change and anthropogenic environmental deterioration strongly affect aquatic microbial communities. Although microbes have irreplaceable roles in various ecosystems, the spatial variation in microbial communities has received less attention in comparison to macro‐organisms. Studies aiming to disentangle the effects of local environmental, catchment and climatic variables on microbial communities are also rare. Here, we disentangled the effects of local, catchment, spatial and climatic variables on boreal stream diatom and bacterial communities. Location Western Finland Methods We sampled 21 boreal river basins comprising 105 study sites spanning 520 km in north‐south direction and 330 km in east‐west direction in western Finland. We used principal coordinates of neighbour matrix analysis (PCNM), redundancy analyses (RDA), variation partitioning, boosted regression trees (BRT) and regression analyses to examine variation in community composition and species richness. Results Water chemistry and physical variables had significant effects on the community composition of both microbial groups. Catchment level variables explained a slightly larger amount of variation in diatom community composition than local level variables. Agriculture was the most significant determinant of variation in diatom community composition among catchment level variables and was also related with variation in the richness of both groups. Of spatial and climatic variables, growing degree days (GDD) and spatial variables were the most significant drivers determining diatom community composition. GDD was also positively associated with the richness of diatoms and bacteria. Unique effects of spatial and climate variables accounted for the largest amount of variation in the community composition of both diatoms and bacteria. Main conclusions Our results highlight that aquatic microbial communities can exhibit biogeographical variation at regional scales due to the joint influence of local, catchment and climatic variables, and possibly because of dispersal limitation. Catchment properties, especially agriculture, can be used as a proxy for the effects of landscape alteration on aquatic microbial communities.

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“…For example, geographical location determines the species pool from which local communities are assembled, and thus local communities show imprints of both regional and local factors [421,432]. Recent studies have also shown that biological communities in northern freshwater ecosystems are clearly affected by climate over broad areas, as has been observed for algae [433], macroinvertebrates [434], and fish [419]. Finally, land use, land cover, and catchment heterogeneity have been found to be associated with both alpha and beta diversity variation of macrophytes (e.g., [435]) and macroinvertebrates (e.g., [428]).…”

Section: Boreal and Arctic Freshwater Habitatsmentioning

confidence: 96%

Characteristics, Main Impacts, and Stewardship of Natural and Artificial Freshwater Environments: Consequences for Biodiversity Conservation

Cantonati

Poikāne

Pringle

et al. 2020

Water

181

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In this overview (introductory article to a special issue including 14 papers), we consider all main types of natural and artificial inland freshwater habitas (fwh). For each type, we identify the main biodiversity patterns and ecological features, human impacts on the system and environmental issues, and discuss ways to use this information to improve stewardship. Examples of selected key biodiversity/ecological features (habitat type): narrow endemics, sensitive (groundwater and GDEs); crenobionts, LIHRes (springs); unidirectional flow, nutrient spiraling (streams); naturally turbid, floodplains, large-bodied species (large rivers); depth-variation in benthic communities (lakes); endemism and diversity (ancient lakes); threatened, sensitive species (oxbow lakes, SWE); diverse, reduced littoral (reservoirs); cold-adapted species (Boreal and Arctic fwh); endemism, depauperate (Antarctic fwh); flood pulse, intermittent wetlands, biggest river basins (tropical fwh); variable hydrologic regime—periods of drying, flash floods (arid-climate fwh). Selected impacts: eutrophication and other pollution, hydrologic modifications, overexploitation, habitat destruction, invasive species, salinization. Climate change is a threat multiplier, and it is important to quantify resistance, resilience, and recovery to assess the strategic role of the different types of freshwater ecosystems and their value for biodiversity conservation. Effective conservation solutions are dependent on an understanding of connectivity between different freshwater ecosystems (including related terrestrial, coastal and marine systems).

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Stream diatom assemblages as predictors of climate

Cited by 16 publications

References 63 publications

Ecological correlates of riverine diatom and macroinvertebrate alpha and beta diversity across Arctic Fennoscandia

Ecological correlates of riverine diatom and macroinvertebrate alpha and beta diversity across Arctic Fennoscandia

Disentangling multi‐scale environmental effects on stream microbial communities

Characteristics, Main Impacts, and Stewardship of Natural and Artificial Freshwater Environments: Consequences for Biodiversity Conservation

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