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Updated: Sep 17, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

A Collaborative Multiple Stressor Approach for Identifying Spatial Heterogeneities in Wildlife Health and

Molly C Simonis^1,2, Sarah Ciarrachi³, Kristin E Dyer¹

¹School of Biological Sciences, University of Oklahoma, Norman, OK 73019, USA.

Integrative and Comparative Biology

|June 28, 2025

Summary

This summary is machine-generated.

Understanding wildlife health requires quantifying physiological and immunological responses to multiple stressors. A collaborative, spatially coordinated framework helps identify conservation priorities for vulnerable populations.

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Area of Science:

Wildlife ecology
Conservation physiology
Immunology

Background:

Wildlife populations face numerous extrinsic stressors (habitat loss, pathogens, contaminants) that increase energy demands.
These stressors often coincide with intrinsically demanding life stages (reproduction, migration, hibernation).
Assessing wildlife health necessitates understanding physiological and immunological responses to combined stressors.

Purpose of the Study:

To propose a framework for field studies to quantify wildlife physiological and immunological phenotypes.
To identify intrinsic and extrinsic drivers of these phenotypes.
To foster collaborative, spatially coordinated research for wildlife health patterns.

Main Methods:

Collecting individual-level samples in field studies.
Measuring physiological and immunological phenotypes.
Analyzing intrinsic and extrinsic stressor data.
Developing spatially coordinated hypotheses for wildlife health.

Main Results:

Preliminary findings from a North American bat health study illustrate the approach.
The framework facilitates identification of key stressors impacting wildlife health.
Quantifying phenotypes and stressors provides targets for conservation.

Conclusions:

A multi-stressor, collaborative, and spatially coordinated approach is crucial for understanding wildlife health.
Identifying key drivers of physiological and immunological phenotypes informs conservation strategies.
This framework aids in prioritizing conservation efforts in time and space for wildlife populations.