Evidence map›Paper›PMID 32671669›Full record

ArticleInternational journal of biometeorology2020

A novel method for assessing climate change impacts in ecotron experiments.

Inne Vanderkelen, Jakob Zscheischler, Lukas Gudmundsson, Klaus Keuler, Francois Rineau, Natalie Beenaerts, Jaco Vangronsveld, Sara Vicca, Wim Thiery

Erratum issuedAbstract read
In one paragraph

Article in International journal of biometeorology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Environmental Galenics: large-scale fortification of extant microbiomes with engineered bioremediation agents.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Review
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Inne VanderkelenDepartment of Hydrology and Hydraulic Engineering, Vrije Universiteit Brussel, Brussels, Belgium. inne.vanderkelen@vub.be.ORCID http://orcid.org/0000-0002-8673-1933
Jakob ZscheischlerClimate and Environmental Physics, University of Bern, Bern, Switzerland.
Lukas GudmundssonInstitute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland.
Klaus KeulerDepartment of Environmental Meteorology, Brandenburg University of Technology Cottbus-Senftenberg, Cottbus, Germany.
Francois RineauCentre for Environmental Sciences, UHasselt, Hasselt, Belgium.
Natalie BeenaertsCentre for Environmental Sciences, UHasselt, Hasselt, Belgium.
Jaco VangronsveldCentre for Environmental Sciences, UHasselt, Hasselt, Belgium.
Sara ViccaDepartment of Biology, University of Antwerp, Wilrijk, Belgium.
Wim ThieryDepartment of Hydrology and Hydraulic Engineering, Vrije Universiteit Brussel, Brussels, Belgium.

Funding

ETH Zürich Foundation Fel-45 15-1Fonds Wetenschappelijk Onderzoek FWOTM920Fonds Wetenschappelijk Onderzoek G0H4AA7NUniversiteit Hasselt 08M03VGRJUniversiteit Hasselt BOF12BR01
6 · The paper itself

Abstract

Ecotron facilities allow accurate control of many environmental variables coupled with extensive monitoring of ecosystem processes. They therefore require multivariate perturbation of climate variables, close to what is observed in the field and projections for the future. Here, we present a new method for creating realistic climate forcing for manipulation experiments and apply it to the UHasselt Ecotron experiment. The new methodology uses data derived from the best available regional climate model projection and consists of generating climate forcing along a gradient representative of increasingly high global mean air temperature anomalies. We first identified the best-performing regional climate model simulation for the ecotron site from the Coordinated Regional Downscaling Experiment in the European domain (EURO-CORDEX) ensemble based on two criteria: (i) highest skill compared to observations from a nearby weather station and (ii) representativeness of the multi-model mean in future projections. The time window is subsequently selected from the model projection for each ecotron unit based on the global mean air temperature of the driving global climate model. The ecotron units are forced with 3-hourly output from the projections of the 5-year period in which the global mean air temperature crosses the predefined values. With the new approach, Ecotron facilities become able to assess ecosystem responses on changing climatic conditions, while accounting for the co-variation between climatic variables and their projection in variability, well representing possible compound events. The presented methodology can also be applied to other manipulation experiments, aiming at investigating ecosystem responses to realistic future climate change.

Indexed as

Climate ChangeEcosystemModels, TheoreticalTemperatureWeatherClimate forcingControlled environment experimentEcosystem responseGlobal warmingRegional climate model

Identifiers

PMID32671669
PMCPMC7481170

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Registered trials

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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.