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sciadv.abq4207.pdf

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/101938 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/101938 http://eprints.org/relation/ismediumThumbnailVersionOf https://pure.iiasa.ac.at/id/document/101938 101948 2 311426 document 101948 small.jpg image/png 3fcdf9b03e1d26d90cc35289581709e1 MD5 1841 2023-06-22 12:08:05 https://pure.iiasa.ac.at/id/eprint/18863/6/small.jpg 18863 6 6 image/png other Thumbnails conversion from text to thumbnail_small en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/101938 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/101938 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/101938 archive 353 disk0/00/01/88/63 2023-06-22 12:04:03 2023-06-22 12:04:03 2023-06-22 12:04:03 article show Riva F. Graco-Roza C. Daskalova G. 9470 0000-0002-5674-5322 Hudgins E.J. Lewthwaite J.M.M. Newman E.A. Ryo M. Mammola S. pub BNR BEC 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. 2023-06-21 published doi:10.1126/sciadv.abq4207 https://doi.org/10.1126/sciadv.abq4207 3406 public Science Advances 9 25 eabq4207 TRUE 2375-2548 no info:eu-repo/semantics/article