Evidence map›Paper›PMID 37343095›Full record

ReviewScience advances2023

Toward a cohesive understanding of ecological complexity.

Federico Riva, Caio Graco-Roza, Gergana N Daskalova, Emma J Hudgins, Jayme M M Lewthwaite, Erica A Newman, Masahiro Ryo, Stefano Mammola

Abstract readReview
In one paragraph

Review in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
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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

8 authors.

Federico RivaGeomatics and Landscape Ecology Laboratory, Department of Biology, Carleton University, 1125 Colonel By Dr, Ottawa, Ontario K1S 5B6, Canada.ORCID 0000-0002-1724-4293
Caio Graco-RozaAquatic Community Ecology Group, Department of Geosciences and Geography, University of Helsinki, Gustaf Hällströmin katu 2, 00560 Helsinki, Finland.ORCID 0000-0002-0353-9154
Gergana N DaskalovaBiodiversity and Ecology Group, International Institute for Applied Systems Analysis, Laxenburg, Austria.ORCID 0000-0002-5674-5322
Emma J HudginsGeomatics and Landscape Ecology Laboratory, Department of Biology, Carleton University, 1125 Colonel By Dr, Ottawa, Ontario K1S 5B6, Canada.ORCID 0000-0002-8402-5111
Jayme M M LewthwaiteMarine and Environmental Biology, University of Southern California, 3616 Trousdale Pkwy, Los Angeles, CA 90089-0371, USA.ORCID 0000-0002-2008-4403
Erica A NewmanDepartment of Integrative Biology, University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0001-6433-8594
Masahiro RyoLeibniz Centre for Agricultural Landscape Research (ZALF), Eberswalder Str. 84, 15374 Muencheberg, Germany.ORCID 0000-0002-5271-3446
Stefano MammolaLaboratory for Integrative Biodiversity Research (LIBRe), Finnish Museum of Natural History (LUOMUS), University of Helsinki, Pohjoinen Rautatiekatu 13, Helsinki 00100, Finland.ORCID 0000-0002-4471-9055

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ecological systems are quintessentially complex systems. Understanding and being able to predict phenomena typical of complex systems is, therefore, critical to progress in ecology and conservation amidst escalating global environmental change. However, myriad definitions of complexity and excessive reliance on conventional scientific approaches hamper conceptual advances and synthesis. Ecological complexity may be better understood by following the solid theoretical basis of complex system science (CSS). We review features of ecological systems described within CSS and conduct bibliometric and text mining analyses to characterize articles that refer to ecological complexity. Our analyses demonstrate that the study of complexity in ecology is a highly heterogeneous, global endeavor that is only weakly related to CSS. Current research trends are typically organized around basic theory, scaling, and macroecology. We leverage our review and the generalities identified in our analyses to suggest a more coherent and cohesive way forward in the study of complexity in ecology.

Indexed as

EcologyEcosystemAnimalsBibliometricsData MiningHuman Activities

Identifiers

PMID37343095
PMCPMC10284553

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.