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Related Experiment Video

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Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients

Published on: August 22, 2018

Applying developmental threshold models to evolutionary ecology.

Kathleen Donohue¹, Liana T Burghardt¹, Daniel Runcie²

¹Duke University, Department of Biology, Box 90338, Durham, NC 27708, USA.

Trends in Ecology & Evolution

|December 24, 2014

Summary

This summary is machine-generated.

Process-based models predict species development and life cycles by integrating environmental factors and physiology. These models can forecast species distribution, genetic adaptation, and evolutionary responses to climate change.

Keywords:

environmental change life cycle phenology population-based models process-based models range limits reaction norm

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Area of Science:

Evolutionary Ecology
Ecological Modeling
Physiological Ecology

Background:

Process-based models link physiological responses to environmental factors for predicting development.
These models are adaptable for analyzing diverse evolutionary ecology processes.

Purpose of the Study:

To demonstrate the utility of process-based models in predicting ecological and evolutionary dynamics.
To highlight the potential of these models in understanding species adaptation and distribution.

Main Methods:

Linking models across life stages to predict life cycles and generation times.
Incorporating fitness functions to identify limiting environmental and physiological factors.
Integrating population variance and genetic data to study variation and genotype-specific phenology.

Main Results:

Models can predict species distributions by identifying environmental and physiological limitations.
Models can investigate intraspecific variation and synchronization mechanisms.
Models predict genotype-specific phenology and potential pleiotropic effects across life stages.

Conclusions:

Process-based models offer a powerful framework for understanding species development, adaptation, and distribution.
Further development can enhance predictions of genotype-specific ranges and identify key genes under environmental change.
These models are crucial for predicting species responses in variable and changing environments.