A novel integrative method for measuring body condition in ecological studies based on physiological dysregulation. Issue 2 (20th January 2014)

• Record Type: Journal Article
• Authors: Milot, Emmanuel; Cohen, Alan A.; Vézina, François; Buehler, Deborah M.; Matson, Kevin D.; Piersma, Theunis; Freckleton, Robert
• Is Part Of: Methods in ecology and evolution. Volume 5:Issue 2(2014:Feb.)
• Page Start: 146
• Page End: 155
• Publication Date: 2014-01-20
• Subjects: Ecology -- Periodicals; Evolution -- Periodicals; 577
• DOI: 10.1111/2041-210X.12145
• Languages: English
• ISSNs: 2041-210X

Abstract

<abstract abstract-type="main" id="mee312145-abs-0001"> <title>Summary</title> <p> <list id="mee312145-list-0001" list-type="order"> <list-item> <p>The body condition of free‐ranging animals affects their response to stress, decisions, ability to fulfil vital needs and, ultimately, fitness. However, this key attribute in ecology remains difficult to assess, and there is a clear need for more integrative measures than the common univariate proxies.</p> </list-item> <list-item> <p>We propose a systems biology approach that positions individuals along a gradient from a 'normal/optimal' to 'abnormal/suboptimal' physiological state based on Mahalanobis distance computed from physiological biomarkers. We previously demonstrated the validity of this approach for studying ageing in humans; here, we illustrate its broad potential for ecological studies.</p> </list-item> <list-item> <p>As an example, we used biomarker data on shorebirds and found that birds with an abnormal condition had a lower maximal thermogenic capacity and higher scores of inflammation, with important implications for their ecology and health. Moreover, Mahalanobis distance captured a signal of condition not detected by the individual biomarkers.</p> </list-item> <list-item> <p>Overall, our results on birds and humans show that individuals with abnormal physiologies are indeed in worse condition. Moreover, our approach appears not to be particularly sensitive to which set of biomarkers is used to assess condition. Consequently, it could be applied easily to existing ecological data sets.</p> </list-item> <list-item> <p>Our approach provides a general, powerful way to measure condition that helps resolve confusion as to how to deal with complex interactions and interdependence among multiple physiological and condition measures. It can be applied directly to topics such as the effect of environmental quality on body condition, risks of health outcomes, mechanisms of adaptive phenotypic plasticity, and mechanisms behind long‐term processes such as senescence.</p> </list-item> </list> </p> </abstract>