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Parameterizing mechanistic niche models in biophysical ecology: a review of empirical approaches.

Authors :
Riddell EA
Burger IJ
Tyner-Swanson TL
Biggerstaff J
Muñoz MM
Levy O
Porter CK
Source :
The Journal of experimental biology [J Exp Biol] 2023 Nov 15; Vol. 226 (22). Date of Electronic Publication: 2023 Nov 13.
Publication Year :
2023

Abstract

Mechanistic niche models are computational tools developed using biophysical principles to address grand challenges in ecology and evolution, such as the mechanisms that shape the fundamental niche and the adaptive significance of traits. Here, we review the empirical basis of mechanistic niche models in biophysical ecology, which are used to answer a broad array of questions in ecology, evolution and global change biology. We describe the experiments and observations that are frequently used to parameterize these models and how these empirical data are then incorporated into mechanistic niche models to predict performance, growth, survival and reproduction. We focus on the physiological, behavioral and morphological traits that are frequently measured and then integrated into these models. We also review the empirical approaches used to incorporate evolutionary processes, phenotypic plasticity and biotic interactions. We discuss the importance of validation experiments and observations in verifying underlying assumptions and complex processes. Despite the reliance of mechanistic niche models on biophysical theory, empirical data have and will continue to play an essential role in their development and implementation.<br />Competing Interests: Competing interests The authors declare no competing or financial interests.<br /> (© 2023. Published by The Company of Biologists Ltd.)

Details

Language :
English
ISSN :
1477-9145
Volume :
226
Issue :
22
Database :
MEDLINE
Journal :
The Journal of experimental biology
Publication Type :
Academic Journal
Accession number :
37955347
Full Text :
https://doi.org/10.1242/jeb.245543