Scheda di dettaglio – i prodotti della ricerca
| Dato | Valore |
|---|---|
| Title | Toward a cohesive understanding of ecological complexity |
| 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. |
| Source | Science Advances 9 (25)–eabq4207 |
| Keywords | ComplexityScientometricsNetwork |
| Journal | Science Advances |
| Editor | American Association for the Advancement of Science, , |
| Year | 2023 |
| Type | Rassegna della letteratura scientifica in rivista (Literature review) |
| DOI | 10.1126/sciadv.abq4207 |
| Authors | Riva, Federico; Graco-Roza, Caio; Daskalova, Gergana N.; Hudgins, Emma J.; Lewthwaite, Jayme M.M.; Newman, Erica A.; Ryo, Masahiro; Mammola, Stefano |
| Text | 484070 2023 10.1126/sciadv.abq4207 Scopus 2 s2.0 85163061367 Complexity Scientometrics Network 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 Istituto di Ricerca sulle Acque, Italy; Leibniz Zentrum fur Agrarlandschaftsforschung ZALF e. V.; University of Southern California; Luonnontieteellinen Keskusmuseo; Brandenburgische Technische Universitat Cottbus; International Institute for Applied Systems Analysis, Laxenburg; Carleton University; The University of Texas at Austin; Universidade do Estado do Rio de Janeiro; Helsingin Yliopisto; Universite de Lausanne UNIL ; National Biodiversity Future Center; 4581 Sherbrooke Street East 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. 9 Published version http //www.scopus.com/record/display.url eid=2 s2.0 85163061367 origin=inward Published version 2023_RIVA ET AL Science Advances.pdf Rassegna della letteratura scientifica in rivista Literature review American Association for the Advancement of Science 2375 2548 Science Advances Science Advances stefano.mammola MAMMOLA STEFANO |