2001
DOI: 10.1016/s0306-4565(00)00032-2
|View full text |Cite
|
Sign up to set email alerts
|

Relatively simple, precise methods to analyze temperature transients in ectotherms

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
7
0

Year Published

2002
2002
2022
2022

Publication Types

Select...
8

Relationship

1
7

Authors

Journals

citations
Cited by 9 publications
(7 citation statements)
references
References 45 publications
0
7
0
Order By: Relevance
“…Also from the sub-sample of cooler morning hours, we estimated brood-patch temperature as the asymptote of the log-normalized proportional increase in temperature during each incubation on-bout [37] using the regression method [38]; this technique was developed to determine body temperatures of ectotherms at equilibrium with their environment. Eggs are functionally ectothermic and reach a thermal equilibrium during incubation, thus the asymptote of the heating function is brood patch temperature.…”
Section: Methodsmentioning
confidence: 99%
“…Also from the sub-sample of cooler morning hours, we estimated brood-patch temperature as the asymptote of the log-normalized proportional increase in temperature during each incubation on-bout [37] using the regression method [38]; this technique was developed to determine body temperatures of ectotherms at equilibrium with their environment. Eggs are functionally ectothermic and reach a thermal equilibrium during incubation, thus the asymptote of the heating function is brood patch temperature.…”
Section: Methodsmentioning
confidence: 99%
“…We estimated cooling rates as first and second order rate constants using a sums of squares minimization approach (Voss and Hainsworth 2001). The first order rate constant (k1) is a rough measure of thermal inertia and reflects the length of time that the nest/egg thermal mass holds its initial heat.…”
Section: Methodsmentioning
confidence: 99%
“…The second order rate constant (k2) measures the cooling rate of the nest/egg thermal mass against the thermal gradient of 15°C. We used the equations of Voss and Hainsworth (2001) to build a program in Mathematica (7.0) to smooth data files using LOESS and to estimate k1 and k2.…”
Section: Methodsmentioning
confidence: 99%
“…We estimated cooling rates using an iterative sums-ofsquares minimisation approach, using the equations of Voss and Hainsworth (2001) to build a program in Mathematica Version 7.0 (Wolfram Research, Inc., 2008). Before running cooling rate analyses, we first removed any data spikes (temperature data irregularities due to the thermocouple) and smoothed data files using local regression (LOESS).…”
Section: Statistical Analysesmentioning
confidence: 99%