Toward a cohesive understanding of ecological complexity

Author:

Riva Federico123ORCID,Graco-Roza Caio45ORCID,Daskalova Gergana N.6ORCID,Hudgins Emma J.1ORCID,Lewthwaite Jayme M. M.7ORCID,Newman Erica A.8ORCID,Ryo Masahiro910ORCID,Mammola Stefano111213ORCID

Affiliation:

1. Geomatics and Landscape Ecology Laboratory, Department of Biology, Carleton University, 1125 Colonel By Dr, Ottawa, Ontario K1S 5B6, Canada.

2. Insectarium, Montreal Space for Life, 4581 Sherbrooke St E, Montreal, Quebec H1X 2B2, Canada.

3. Spatial Ecology Group, Department of Ecology and Evolution, Université de Lausanne, Lausanne, Switzerland.

4. Aquatic Community Ecology Group, Department of Geosciences and Geography, University of Helsinki, Gustaf Hällströmin katu 2, 00560 Helsinki, Finland.

5. Laboratory of Ecology and Physiology of Phytoplankton, Department of Plant Biology, State University of Rio de Janeiro, Rua São Francisco Xavier 524, PHLC, Sala 511a, 20550-900 Rio de Janeiro, Brazil.

6. Biodiversity and Ecology Group, International Institute for Applied Systems Analysis, Laxenburg, Austria.

7. Marine and Environmental Biology, University of Southern California, 3616 Trousdale Pkwy, Los Angeles, CA 90089-0371, USA.

8. Department of Integrative Biology, University of Texas at Austin, Austin, TX 78712, USA.

9. Leibniz Centre for Agricultural Landscape Research (ZALF), Eberswalder Str. 84, 15374 Muencheberg, Germany.

10. Environment and Natural Sciences, Brandenburg University of Technology Cottbus-Senftenberg, 03046 Cottbus, Germany.

11. Laboratory for Integrative Biodiversity Research (LIBRe), Finnish Museum of Natural History (LUOMUS), University of Helsinki, Pohjoinen Rautatiekatu 13, Helsinki 00100, Finland.

12. Molecular Ecology Group (MEG), Water Research Institute (IRSA), National Research Council (CNR), Corso Tonolli, 50, Pallanza 28922, Italy.

13. National Biodiversity Future Center, Palermo, Italy.

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.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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