Fungal assemblages in predictive stream bioassessment: A cross-taxon comparison along multiple stressor gradients
| Autor: | Hannu Marttila, Kaisa Lehosmaa, Maria Rajakallio, Heikki Mykrä, Jarno Turunen, Timo Muotka, Jukka Aroviita, Jussi Jyväsjärvi, Mikko Tolkkinen |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0106 biological sciences
vaikutukset 010501 environmental sciences ravinteet 01 natural sciences Freshwater ecosystem biodegradation water quality Decomposer ympäristön tila nutrients (plants) aquatic ecology aquatic fungi state of the environment Taxonomic rank Bioassessment QH540-549.5 vesiekologia 2. Zero hunger vesieläimistö lajistokartoitus aquatic fauna evaluation Macroinvertebrates Ecology vesiekosysteemit Biota eliöyhteisöt tracking selkärangattomat fresh water Benthic zone virtavedet species survey sienet joet mallintaminen ecological status macroinvertebrates General Decision Sciences STREAMS Leaf decomposition 010603 evolutionary biology biotic communities diatoms modelling effects (results) Aquatic fungi piilevät zoobenthos 14. Life underwater ekologinen tila seuranta Ecology Evolution Behavior and Systematics 0105 earth and related environmental sciences Invertebrate aquatic ecosystems Diatoms bioassessment flowing waters fungi Predictive modelling leaf decomposition 15. Life on land invertebrates ecosystems (ecology) vedenlaatu rivers biohajoaminen ekosysteemit (ekologia) Taxon pohjaeläimistö 13. Climate action Environmental science makea vesi predictive modelling arviointi |
| Zdroj: | Ecological Indicators, Vol 121, Iss, Pp 106986-(2021) |
| Popis: | Highlights • We compared fungi, invertebrates and diatoms in model-based stream bioassessment. • Fungal models virtually equaled the overall best model in precision and accuracy. • Fungi were superior in identifying streams degraded by multiple stressors. • Results strongly support the use of microbial communities in stream bioassessment. Degradation of freshwater ecosystems requires efficient tools for assessing the ecological status of freshwater biota and identifying potential cause(s) for their biological degradation. While diatoms and macroinvertebrates are widely used in stream bioassessment, the potential utility of microbial communities has not been fully harnessed. Using data from 113 Finnish streams, we assessed the performance of aquatic leaf-associated fungal decomposers, relative to benthic macroinvertebrates and diatoms, in modelling-based bioassessment. We built multi-taxon niche -type predictive models for fungal assemblages by using genus-based and sequence-based identification levels. We then compared the models’ precision and accuracy in the prediction of reference conditions (number of native taxa) to corresponding models for macroinvertebrates and diatoms. Genus-based fungal model nearly equalled the accuracy and precision of our best model (macroinvertebrates), whereas the sequence-based model was less accurate and tended to overestimate the number of taxa. However, when the models were applied to streams disturbed by anthropogenic stressors (nutrient enrichment, sedimentation and acidification), alone or in combination, the sequence-based fungal assemblages were more sensitive than other taxonomic groups, especially when multiple stressors were present. Microbial leaf decomposition rates were elevated in sediment-stressed streams whereas decomposition attributable to leaf-shredding macroinvertebrates was accelerated by nutrients and decelerated by sedimentation. Comparison of leaf decomposition results to model output suggested that leaf decomposition rates do not detect effectively the presence of multiple simultaneous disturbances. The rapid development of global microbial database may soon enable species-level identification of leaf-associated fungi, facilitating a more precise and accurate modelling of reference conditions in streams using fungal communities. This development, combined with the sensitivity of aquatic fungi in detecting the presence of multiple human disturbances, makes leaf-associated fungal assemblages an indispensable addition in a stream ecologist’s toolbox. |
| Databáze: | OpenAIRE |
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