Evidence map›Paper›PMID 33837599›Full record

ArticleGlobal change biology2021

Impacts of climate change on aquatic insects in temperate alpine regions: Complementary modeling approaches applied to Swiss rivers.

Pablo Timoner, Marc Fasel, Seyed Saeid Ashraf Vaghefi, Pierre Marle, Emmanuel Castella, Frédéric Moser, Anthony Lehmann

Abstract read
In one paragraph

Article in Global change biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Pablo TimonerenviroSPACE Group, Department F.-A. Forel for Environmental and Aquatic Sciences, University of Geneva, Institute for Environmental Sciences, Geneva, Switzerland.ORCID 0000-0003-4757-4928
Marc FaselenviroSPACE Group, Department F.-A. Forel for Environmental and Aquatic Sciences, University of Geneva, Institute for Environmental Sciences, Geneva, Switzerland.ORCID 0000-0002-6738-4294
Seyed Saeid Ashraf VaghefiEawag, Swiss Federal Institute of Aquatic Science and Technology, Duebendorf, Switzerland.ORCID 0000-0002-3061-6493
Pierre MarleAquatic Ecology Group, Department F.-A. Forel for Environmental and Aquatic Sciences, University of Geneva, Institute for Environmental Sciences, Geneva, Switzerland.ORCID 0000-0003-4464-9795
Emmanuel CastellaAquatic Ecology Group, Department F.-A. Forel for Environmental and Aquatic Sciences, University of Geneva, Institute for Environmental Sciences, Geneva, Switzerland.ORCID 0000-0002-4115-4124
Frédéric MoserGRID-Geneva, University of Geneva, Institute for Environmental Sciences, Geneva, Switzerland.ORCID 0000-0001-6546-6344
Anthony LehmannenviroSPACE Group, Department F.-A. Forel for Environmental and Aquatic Sciences, University of Geneva, Institute for Environmental Sciences, Geneva, Switzerland.ORCID 0000-0002-8279-8567

Funding

Swiss National Science Foundation 315230_173206
6 · The paper itself

Abstract

Freshwater biodiversity loss is a major concern, and global warming is already playing a significant role in species extinctions. Our main goal was to predict climate change impacts on aquatic insect species distribution and richness in Swiss running waters according to two climate change scenarios (RCP2.6 and RCP8.5), using different modeling approaches, that is, species distribution models (SDMs), stacked-SDMs (S-SDMs) and a macroecological model (MEM). We analyzed 10,808 reaches, used as spatial units for model predictions, for a total river network length of 20,610 km. Results were assessed at both the countrywide and the biogeographic regional scales. We used incidence data of 41 species of Ephemeroptera, Plecoptera and Trichoptera (EPT) from 259 sites distributed across Switzerland. We integrated a coupled model for hydrology and glacier retreat to simulate monthly time-step discharge from which we derived hydrological variables. These, along with thermal, land-cover, topographic and spatially explicit data, served as predictors for our ecological models. Predictions of occurrence probabilities and EPT richness were compared among the different regions, periods and scenarios. A Shiny web application was developed to interactively explore all the models' details, to ensure transparency and promote the sharing of information. MEM and S-SDMs approaches consistently showed that overall, climate change is likely to reduce EPT richness. Decrease could be around 10% in the least conservative scenario, depending on the region. Global warming was shown to represent a threat to species from high elevation, but in terms of species richness, running waters from lowlands and medium elevation seemed more vulnerable. Finally, our results suggested that the effects of anthropogenic activities could overweight natural factors in shaping the future of river biodiversity.

Indexed as

Climate ChangeRiversAnimalsBiodiversityEcosystemInsectaSwitzerlandmacroecological modelsspecies distribution modelsspecies richnessstacked species distribution modelsstream macroinvertebratesSwitzerland

Identifiers

PMID33837599
PMCPMC8360013

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.