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Toward a cohesive understanding of ecological complexity

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...

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Autores principales: Riva, Federico, Graco-Roza, Caio, Daskalova, Gergana N., Hudgins, Emma J., Lewthwaite, Jayme M. M., Newman, Erica A., Ryo, Masahiro, Mammola, Stefano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10284553/
https://www.ncbi.nlm.nih.gov/pubmed/37343095
http://dx.doi.org/10.1126/sciadv.abq4207
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author Riva, Federico
Graco-Roza, Caio
Daskalova, Gergana N.
Hudgins, Emma J.
Lewthwaite, Jayme M. M.
Newman, Erica A.
Ryo, Masahiro
Mammola, Stefano
author_facet Riva, Federico
Graco-Roza, Caio
Daskalova, Gergana N.
Hudgins, Emma J.
Lewthwaite, Jayme M. M.
Newman, Erica A.
Ryo, Masahiro
Mammola, Stefano
author_sort Riva, Federico
collection PubMed
description 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.
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spelling pubmed-102845532023-06-22 Toward a cohesive understanding of ecological complexity Riva, Federico Graco-Roza, Caio Daskalova, Gergana N. Hudgins, Emma J. Lewthwaite, Jayme M. M. Newman, Erica A. Ryo, Masahiro Mammola, Stefano Sci Adv Earth, Environmental, Ecological, and Space Sciences 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. American Association for the Advancement of Science 2023-06-21 /pmc/articles/PMC10284553/ /pubmed/37343095 http://dx.doi.org/10.1126/sciadv.abq4207 Text en Copyright © 2023 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Earth, Environmental, Ecological, and Space Sciences
Riva, Federico
Graco-Roza, Caio
Daskalova, Gergana N.
Hudgins, Emma J.
Lewthwaite, Jayme M. M.
Newman, Erica A.
Ryo, Masahiro
Mammola, Stefano
Toward a cohesive understanding of ecological complexity
title Toward a cohesive understanding of ecological complexity
title_full Toward a cohesive understanding of ecological complexity
title_fullStr Toward a cohesive understanding of ecological complexity
title_full_unstemmed Toward a cohesive understanding of ecological complexity
title_short Toward a cohesive understanding of ecological complexity
title_sort toward a cohesive understanding of ecological complexity
topic Earth, Environmental, Ecological, and Space Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10284553/
https://www.ncbi.nlm.nih.gov/pubmed/37343095
http://dx.doi.org/10.1126/sciadv.abq4207
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