Spatial and temporal patterns of water loss in heterogeneous landscapes: using plaster models as amphibian analogues

2013 ◽  
Vol 91 (3) ◽  
pp. 135-140 ◽  
Author(s):  
W.E. Peterman ◽  
J.L. Locke ◽  
R.D. Semlitsch

Water balance is critical to survival, growth, and performance of many terrestrial organisms because it can influence foraging time, limit dispersal, and curtail courtship activities. Water loss can vary in time and space across the landscape, and can also be modulated by behavior. Amphibians are particularly sensitive to water loss because their skin provides little to no resistance to evaporative water loss. Our study sought to quantify rates of water loss across a heterogeneous landscape using plaster of Paris models as analogues for the Western Slimy Salamander (Plethodon albagula Grobman, 1944). Models were validated within a controlled laboratory setting prior to field deployment, and were shown to approximate rates and magnitudes of water loss observed in living salamanders. In the field, we tested both adult- and juvenile-sized models, and found that juvenile-sized models lost water at a greater rate under all contexts. The rates of water loss measured at night (1.5%/h–4.5%/h) was nearly half of those measured during the day (2%/h–10%/h). Rates of water loss were greatest on ridges with southwestern aspects during the day (5%/h–10%/h) and lowest in ravines with northeast aspects at night (1.50%/h–3.75%/h). The results of spatial and temporal patterns of water loss corroborate field observations of salamander activity patterns and distribution across the landscape, providing a physiological mechanism driving fine-scale habitat use and distribution. Although we tested plaster models as analogues for salamanders, this approach should be generalizable to other amphibian taxa, providing an efficient means of measuring rates of water loss in the field under biologically meaningful contexts.

2021 ◽  
Author(s):  
Anamarija Žagar ◽  
Miguel Angel Carretero ◽  
Maarten de Groot

Abstract Higher air temperatures and drier conditions may create stronger water vapour pressure and increase rates of cutaneous water loss, while elevated body temperatures may in turn directly speed up metabolic rates that lead to higher respiratory water loss. Therefore, water budgets are an important organismal trait for understanding their responses to climate change. The most common method of water loss estimation combines respiratory and cutaneous pathways by measuring body weight loss over a defined period of time. Currently, obtained values are often summed or averaged for population or species comparisons. We warn about potential statistical problems using average or summed values of water loss due to emerging temporal patterns. In this study we used a model dataset of lizards and to investigate temporal patterns in water loss datasets. We found that temporal patterns strongly vary across datasets and often deviate from the summed/average profile. Also, the duration of the experiment needs to remain long enough to detect the temporal patterns and produce representative results, while averages at different end-points of the experiment will also vary with temporal patterns. We propose that a simple statistical approach including hour of the experiment as non-linear explanatory variable in GAMM is used to investigate and adequately account for temporal patterns, which will ensure comparability of studies using meta-analyses in the future. Found signal of temporal variation in water loss also suggests that it holds significant biological relevance, potentially mostly connected to behavioural but also physiological adjustments and needs research attention in the future.


2007 ◽  
Vol 41 (4) ◽  
pp. 597-603 ◽  
Author(s):  
Christopher R. Tracy ◽  
Gregory Betts ◽  
C. Richard Tracy ◽  
Keith A. Christian

2016 ◽  
Author(s):  
Ruth Coffey ◽  
◽  
Hannah Sprinkle ◽  
Eric Sherry ◽  
Brian Sturgis ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Rachel G. Curtis ◽  
Timothy Olds ◽  
François Fraysse ◽  
Dorothea Dumuid ◽  
Gilly A. Hendrie ◽  
...  

Abstract Background Almost one in three Australian adults are now obese, and the rate continues to rise. The causes of obesity are multifaceted and include environmental, cultural and lifestyle factors. Emerging evidence suggests there may be temporal patterns in weight gain related, for example, to season and major festivals such as Christmas, potentially due to changes in diet, daily activity patterns or both. The aim of this study is to track the annual rhythm in body weight, 24 h activity patterns, dietary patterns, and wellbeing in a cohort of Australian adults. In addition, through data linkage with a concurrent children’s cohort study, we aim to examine whether changes in children’s body mass index, activity and diet are related to those of their parents. Methods A community-based sample of 375 parents aged 18 to 65 years old, residing in or near Adelaide, Australia, and who have access to a Bluetooth-enabled mobile device or a computer and home internet, will be recruited. Across a full year, daily activities (minutes of moderate to vigorous physical activity, light physical activity, sedentary behaviour and sleep) will be measured using wrist-worn accelerometry (Fitbit Charge 3). Body weight will be measured daily using Fitbit wifi scales. Self-reported dietary intake (Dietary Questionnaire for Epidemiological Studies V3.2), and psychological wellbeing (WHOQOL-BREF and DASS-21) will be assessed eight times throughout the 12-month period. Annual patterns in weight will be examined using Lowess curves. Associations between changes in weight and changes in activity and diet compositions will be examined using repeated measures multi-level models. The associations between parent’s and children’s weight, activity and diet will be investigated using multi-level models. Discussion Temporal factors, such as day type (weekday or weekend day), cultural celebrations and season, may play a key role in weight gain. The aim is to identify critical opportunities for intervention to assist the prevention of weight gain. Family-based interventions may be an important intervention strategy. Trial registration Australia New Zealand Clinical Trials Registry, identifier ACTRN12619001430123. Prospectively registered on 16 October 2019.


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