A century of statistical Ecology

Area of Science:

• Ecology
• Statistics
• Data Science

Background:

• Ecological data present unique challenges for traditional statistical methods.
• Ecologists often lack specialized statistical training, necessitating accessible resources.
• The journal Ecology has a history of publishing innovative statistical ecology research.

Purpose of the Study:

• To examine the historical role of the journal Ecology in the development of statistical ecology.
• To define statistical ecology as the study of ecological systems using mathematical equations, probability, and empirical data.
• To highlight influential statistical ecology papers and their impact on the field.

Main Methods:

• Review and analysis of 36 influential statistical ecology papers published in Ecology over the past century.
• Historical reflection on the evolution of statistical ecology as a subdiscipline.
• Identification of trends and key contributions in statistical modeling for ecological research.

Main Results:

• The journal Ecology has played a crucial role in fostering the subdiscipline of statistical ecology.
• Key papers showcase the evolution of statistical methods applied to ecological questions.
• A curated list of 36 influential papers demonstrates the field's progress.

Conclusions:

• Statistical ecology is a rapidly growing field, driven by increasing data and computational power.
• The journal Ecology is expected to continue its vital role in publishing cutting-edge statistical ecology research.
• Future growth in statistical ecology will address complex ecological analyses and guide practitioners.