Beyond Kuhnian paradigms: Normal science and theory dependence in ecology

Author:

Layman Craig A.1ORCID,Rypel Andrew L.2ORCID

Affiliation:

1. Center for Energy, Environment, and Sustainability Wake Forest University Winston‐Salem North Carolina USA

2. Department of Wildlife, Fish & Conservation Biology, and Center for Watershed Sciences University of California, Davis Davis California USA

Abstract

AbstractThe Structure of Scientific Revolutions by Thomas Kuhn has influenced scientists for decades. It focuses on a progression of science involving periodic, fundamental shifts—revolutions—from one existing paradigm to another. Embedded in this theory is the concept of normal science, that is, scientists work within the confines of established theory, a process often compared to a type of puzzle‐solving. This Kuhnian aspect of scientific research has received little attention relative to the much‐scrutinized concepts of revolutions and paradigms. We use Kuhn's normal science framework to reflect on the way ecologists practice science. This involves a discussion of how theory dependence influences each step of the scientific method, specifically, how past experiences and existing research frameworks guide the way ecologists acquire knowledge. We illustrate these concepts with ecological examples, including food web structure and the biodiversity crisis, emphasizing that the way one views the world influences how that person engages in scientific research. We conclude with a discussion of how Kuhnian ideas inform ecological research at practical levels, such as influences on grant funding allocation, and we make a renewed call for the inclusion of philosophical foundations of ecological principles in pedagogy. By studying the processes and traditions of how science is carried out, ecologists can better direct scientific insight to address the world's most pressing environmental problems.

Publisher

Wiley

Subject

Nature and Landscape Conservation,Ecology,Ecology, Evolution, Behavior and Systematics

Reference83 articles.

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1. A Scientific Reasoning for Macroecology;The Macroecological Perspective;2023

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