Are drivers of microbial diatom distributions context dependent in human impacted and pristine environments?

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http://hdl.handle.net/10138/304499

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Pajunen , V , Jyrkänkallio-Mikkola , J , Luoto , M & Soininen , J 2019 , ' Are drivers of microbial diatom distributions context dependent in human impacted and pristine environments? ' , Ecological Applications , vol. 29 , no. 5 , 01917 , pp. e01917 . https://doi.org/10.1002/eap.1917

Title: Are drivers of microbial diatom distributions context dependent in human impacted and pristine environments?
Author: Pajunen, Virpi; Jyrkänkallio-Mikkola, Jenny; Luoto, Miska; Soininen, Janne
Contributor: University of Helsinki, Department of Geosciences and Geography
University of Helsinki, Department of Geosciences and Geography
University of Helsinki, Helsinki Institute of Sustainability Science (HELSUS)
University of Helsinki, Helsinki Institute of Sustainability Science (HELSUS)
Date: 2019-07
Language: eng
Number of pages: 12
Belongs to series: Ecological Applications
ISSN: 1051-0761
URI: http://hdl.handle.net/10138/304499
Abstract: Species occurrences are influenced by numerous factors whose effects may be context dependent. Thus, the magnitude of the effects and their relative importance to species distributions may vary among ecosystems due to anthropogenic stressors. To investigate context dependency in factors governing microbial bioindicators, we developed species distribution models (SDMs) for epilithic stream diatom species in human-impacted and pristine sites separately. We performed SDMs using boosted regression trees for 110 stream diatom species, which were common to both data sets, in 164 human-impacted and 164 pristine sites in Finland (covering similar to 1,000 km, 60 degrees to 68 degrees N). For each species and site group, two sets of models were conducted: climate model, comprising three climatic variables, and full model, comprising the climatic and six local environmental variables. No significant difference in model performance was found between the site groups. However, climatic variables had greater importance compared with local environmental variables in pristine sites, whereas local environmental variables had greater importance in human-impacted sites as hypothesized. Water balance and conductivity were the key variables in human-impacted sites. The relative importance of climatic and local environmental variables varied among individual species, but also between the site groups. We found a clear context dependency among the variables influencing stream diatom distributions as the most important factors varied both among species and between the site groups. In human-impacted streams, species distributions were mainly governed by water chemistry, whereas in pristine streams by climate. We suggest that climatic models may be suitable in pristine ecosystems, whereas the full models comprising both climatic and local environmental variables should be used in human-impacted ecosystems.
Subject: 1181 Ecology, evolutionary biology
land use gradient
climate
local environment
stream diatoms
species distribution modelling
boosted regression trees
FRESH-WATER DIATOMS
STREAM TEMPERATURE
BENTHIC DIATOMS
species distribution modeling
NICHE CONSERVATISM
COMMUNITY STRUCTURE
INDICATORS
HABITAT
CONSEQUENCES
LAND-USE
BOREAL STREAMS
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