Toward a cohesive understanding of ecological complexity.

Area of Science:

• Ecology
• Complex Systems Science

Background:

• Ecological systems are inherently complex, necessitating advanced understanding for conservation efforts facing global environmental change.
• Current approaches to ecological complexity are hindered by diverse definitions and conventional methods, impeding progress.
• Complex Systems Science (CSS) offers a robust theoretical framework for studying ecological complexity.

Purpose of the Study:

• To review ecological systems through the lens of CSS.
• To analyze the landscape of ecological complexity research using bibliometric and text mining methods.
• To propose a more integrated and cohesive future direction for the study of ecological complexity.

Main Methods:

• Literature review of ecological systems within CSS.
• Bibliometric analysis of research articles on ecological complexity.
• Text mining to identify trends and themes in ecological complexity research.

Main Results:

• The study of ecological complexity is a diverse, global field with limited connection to CSS.
• Current research predominantly focuses on basic theory, scaling, and macroecology.
• Significant heterogeneity exists within the field of ecological complexity.

Conclusions:

• A more unified theoretical foundation is needed to advance ecological complexity studies.
• Integrating insights from CSS can foster conceptual advances and synthesis in ecology.
• Future research should aim for greater cohesion to address complex environmental challenges effectively.