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Updated: Jan 22, 2026
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Visualizing Visual Adaptation
Published on: April 24, 2017
9.6K
Conservation should assume realistic adaptive capacities
Mark C Urban1,2, Chris S Elphick1,2, Daniel I Bolnick1,2
1Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT 06269.
Summary
Conservation plans often overlook species
Area of Science:
- Evolutionary biology
- Conservation science
- Ecology
Background:
- Conservation strategies frequently assume zero heritability, neglecting the adaptive potential of threatened populations.
- Current recovery plans for US threatened and endangered species rarely assess within-population adaptability, reflecting a common assumption of slow or inconsequential evolutionary responses.
- The omission of adaptability in conservation planning may hinder effective species recovery efforts.
Purpose of the Study:
- To evaluate the extent to which conservation plans consider population adaptability.
- To compile evidence on heritability and evolvability in natural populations.
- To demonstrate how incorporating adaptability can improve conservation outcomes.
Main Methods:
- Analysis of 10 years of US threatened and endangered species recovery plans.
- Literature compilation of heritability (h2) and evolvability (IA) estimates.
- Review of conservation assessments to identify impacts of considering adaptability.
Main Results:
- Only 4% of evaluated recovery plans assessed within-population adaptability.
- Median heritability (h2) and evolvability (IA) across studies are 0.3 and 0.4, respectively, indicating significant adaptive potential.
- Considering adaptability can shift conservation priorities and management recommendations.
Conclusions:
- Moderate heritability and evolvability suggest that many populations can adapt to changing environments.
- Conservation plans should integrate population adaptability, using a default expectation of moderate adaptability (h2 = 0.3, IA = 0.4) when specific data are absent.
- Accounting for adaptability can enhance species rescue and optimize resource allocation in conservation.
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