Evidence map›Paper›PMID 35831269›Full record

ArticleEcology letters2022

Forecasting in the face of ecological complexity: Number and strength of species interactions determine forecast skill in ecological communities.

Uriah Daugaard, Stephan B Munch, David Inauen, Frank Pennekamp, Owen L Petchey

Abstract readLetter
In one paragraph

Article in Ecology letters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

5 authors.

Uriah DaugaardDepartment of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0003-4092-717X
Stephan B MunchDepartment of Ecology and Evolutionary Biology, University of California, Santa Cruz, California, USA.ORCID https://orcid.org/0000-0001-7471-5429
David InauenDepartment of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-8686-8008
Frank PennekampDepartment of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0003-0679-1045
Owen L PetcheyDepartment of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-7724-1633

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 310030_188431Swiss National Science FoundationUniversity of Zurich
6 · The paper itself

Abstract

The potential for forecasting the dynamics of ecological systems is currently unclear, with contrasting opinions regarding its feasibility due to ecological complexity. To investigate forecast skill within and across systems, we monitored a microbial system exposed to either constant or fluctuating temperatures in a 5-month-long laboratory experiment. We tested how forecasting of species abundances depends on the number and strength of interactions and on model size (number of predictors). We also tested how greater system complexity (i.e. the fluctuating temperatures) impacted these relations. We found that the more interactions a species had, the weaker these interactions were and the better its abundance was predicted. Forecast skill increased with model size. Greater system complexity decreased forecast skill for three out of eight species. These insights into how abundance prediction depends on the connectedness of the species within the system and on overall system complexity could improve species forecasting and monitoring.

Indexed as

BiotaEcosystemForecastingcommunity ecologycomplexityecological forecastingempirical dynamic modellingexperimentfood websinteraction strengthmicrobial communitypredictiontemperature

Identifiers

PMID35831269
PMCPMC9540476

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.