Overview

This analysis is trying to get a handle on how weather (particularly temperature) is related to corticosterone in tree swallows. Samples are from adults and nestlings measured in Ithaca from 2013-2020. Samples collected after direct manipulations are excluded, but some samples after manipulations that we don’t think had any impact on corticosterone are still included (e.g., color manipulations). Samples that are collected after injections other than post-dex are also excluded. There is probably a bit more cleaning and checking that could be done here for a final analysis, but this should be pretty good as a general overview given how large the sample sizes are. Weather data is from the Ithaca Airport or Game Farm Road station and is summarized in various ways as described below.

For each combination of weather variable and cort measurement, I’m fitting essentially the same models that are as simple as possible. Basically, they include just latency and (usually) random effects for year and individual identity. In some cases the random effects are estimated at 0 and are removed to get around errors (they explain no variance). For females, I also have a categorical predictor for capture number, wich roughly equals early incubation (intercept), late incubation (capture 2), and provisioning (capture 3). Males and nestlings don’t have that since they are almost exclusively samples from ~day 4-8 (males) and day 12 (nestlings) after hatching. The plots are not controlling for the other variables that are in the models, they are just straight scatter plots for illustration. The fit lines are simple loess smoothed regressions so also aren’t controlling for anything. More could of course be done for any of these that we want to follow up on in more detail.

In some cases, I’m also modeling and plotting log values because a few points skew so high that it’s hard to see them. I’ve also trimmed the y-axis in some cases so that a few of the very highest value points are not visible in plots (e.g., in some basecort plots there are a handful of points >50 ng/ul but expending the y axis that high makes it impossible to see anything in the normal range).

One important thing to note is that the x axes differ between figures because nestlings and males are only ever sampled later in the season and because of that we have much less data (or none) at some of the very lowest temperatures that females are sampled at. There are obviously a lot of different plots here and more different ways of summarizing weather that we could think about, and the exact relationships or strength of patterns can differ between some of these choices, but I think the main summary points are:

Baseline Corticosterone

Temperature around capture

This is using the average temperature for the three hours immediately before capture. The exact time of day included differs depending on the time of capture and is much later for nestlings. I did just the morning for females because not all entries in the database had times carried over and they’re all captured at similar times. Males and nestlings are more variable so I used the three hours prior even though that excluded some records.

Table: base cort vs. immediate temp

Average temperature 3 hours before capture.
  Adult Female Baseline Adult Male Baseline Nestling Baseline
Predictors Estimates CI p Estimates CI p Estimates CI p
Intercept 3.70 0.31 – 7.09 0.032 5.01 1.69 – 8.33 0.003 18.14 14.72 – 21.55 <0.001
Temperature 6-8am (C) -0.20 -0.37 – -0.03 0.018
Capture 2 1.91 0.36 – 3.47 0.016
Capture 3 -0.12 -2.34 – 2.10 0.917
Latency (min) 1.79 0.43 – 3.15 0.010 2.39 1.27 – 3.51 <0.001 0.97 -0.00 – 1.94 0.050
Temperature 3 hrs prior (C) -0.30 -0.46 – -0.15 <0.001 -0.61 -0.76 – -0.47 <0.001
Random Effects
σ2 122.61 20.26  
τ00 0.96 band 0.77 band  
ICC 0.01 0.04  
N 494 band 199 band  
Observations 1003 235 912
Marginal R2 / Conditional R2 0.018 / 0.026 0.120 / 0.153 0.075 / 0.073

Figure: base cort vs. immediate temp


Table: log base cort vs. immediate temp

Average temperature 3 hours before capture.
  Adult Female Baseline Adult Male Baseline Nestling Baseline
Predictors Estimates CI p Estimates CI p Estimates CI p
Intercept 1.33 1.12 – 1.53 <0.001 1.18 0.75 – 1.60 <0.001 2.23 1.96 – 2.49 <0.001
Temperature 6-8am (C) -0.04 -0.05 – -0.03 <0.001
Capture 2 0.15 0.06 – 0.24 0.001
Capture 3 0.03 -0.10 – 0.15 0.698
Latency (min) 0.30 0.22 – 0.38 <0.001 0.46 0.31 – 0.60 <0.001 0.11 0.04 – 0.19 0.004
Temperature 3 hrs prior (C) -0.03 -0.05 – -0.01 0.001 -0.04 -0.05 – -0.03 <0.001
Random Effects
σ2 0.37 0.27  
τ00 0.07 band 0.08 band  
ICC 0.16 0.22  
N 494 band 199 band  
Observations 1003 235 912
Marginal R2 / Conditional R2 0.106 / 0.251 0.171 / 0.350 0.059 / 0.056

Figure: log base cort vs. immediate temp


Average temperature night before capture

Here I’m using the average temperature from 10pm to 6am on the night before capture.

Table: base cort vs. night before

Low temperature previous night.
  Adult Female Baseline Adult Male Baseline Nestling Baseline
Predictors Estimates CI p Estimates CI p Estimates CI p
Intercept 2.15 -1.50 – 5.80 0.248 1.78 -1.64 – 5.20 0.307 6.94 2.57 – 11.30 0.002
Temperature (C) -0.12 -0.33 – 0.08 0.245 -0.12 -0.31 – 0.08 0.234 -0.17 -0.43 – 0.10 0.222
Capture 2 2.00 0.27 – 3.74 0.023
Capture 3 -0.40 -2.95 – 2.15 0.757
Latency (min) 1.92 0.42 – 3.43 0.012 2.37 1.17 – 3.57 <0.001 1.45 0.29 – 2.61 0.014
Random Effects
σ2 135.57 21.70  
τ00 0.47 band 0.93 band  
ICC 0.00 0.04  
N 474 band 191 band  
Observations 901 221 784
Marginal R2 / Conditional R2 0.015 / 0.018 0.068 / 0.106 0.009 / 0.007

Figure: base cort vs. night before


Table: log base cort vs. night before

Average temperature 3 hours before capture.
  Adult Female Baseline Adult Male Baseline Nestling Baseline
Predictors Estimates CI p Estimates CI p Estimates CI p
Intercept 1.06 0.85 – 1.27 <0.001 0.70 0.26 – 1.13 0.002 1.35 1.02 – 1.68 <0.001
Temperature (C) -0.02 -0.04 – -0.01 <0.001 -0.00 -0.03 – 0.02 0.844 -0.00 -0.02 – 0.02 0.817
Capture 2 0.15 0.06 – 0.25 0.002
Capture 3 -0.02 -0.16 – 0.12 0.801
Latency (min) 0.31 0.22 – 0.40 <0.001 0.45 0.29 – 0.60 <0.001 0.17 0.08 – 0.26 <0.001
Random Effects
σ2 0.39 0.29  
τ00 0.07 band 0.08 band  
ICC 0.16 0.22  
N 474 band 191 band  
Observations 901 221 784
Marginal R2 / Conditional R2 0.073 / 0.220 0.130 / 0.325 0.018 / 0.016

Figure: log base cort vs. night before


Average temperature day before capture

Table: base cort vs. avg day before

Average temperature prior day.
  Adult Female Baseline Adult Male Baseline Nestling Baseline
Predictors Estimates CI p Estimates CI p Estimates CI p
Intercept 4.61 1.99 – 7.24 0.001 3.15 -0.78 – 7.09 0.116 9.61 5.09 – 14.13 <0.001
Temperature (C) -0.13 -0.25 – -0.02 0.024 -0.17 -0.34 – 0.00 0.056 -0.23 -0.44 – -0.02 0.033
Capture 2 1.15 0.06 – 2.24 0.038
Capture 3 -0.03 -1.58 – 1.53 0.971
Latency (min) 0.95 -0.03 – 1.93 0.056 2.53 1.34 – 3.72 <0.001 0.85 -0.17 – 1.88 0.102
Random Effects
σ2 56.23 21.74  
τ00 0.46 band 0.91 band  
ICC 0.01 0.04  
N 467 band 191 band  
Observations 931 226 902
Marginal R2 / Conditional R2 0.013 / 0.021 0.083 / 0.120 0.007 / 0.005

Figure: base cort vs. avg day before


Table: log base cort vs. avg day before

Average temperature prior day.
  Adult Female Baseline Adult Male Baseline Nestling Baseline
Predictors Estimates CI p Estimates CI p Estimates CI p
Intercept 1.08 0.85 – 1.32 <0.001 0.85 0.34 – 1.35 0.001 1.49 1.13 – 1.84 <0.001
Temperature (C) -0.02 -0.03 – -0.01 <0.001 -0.01 -0.03 – 0.01 0.318 -0.01 -0.02 – 0.01 0.462
Capture 2 0.14 0.04 – 0.23 0.004
Capture 3 -0.01 -0.15 – 0.12 0.833
Latency (min) 0.33 0.24 – 0.42 <0.001 0.47 0.32 – 0.62 <0.001 0.10 0.02 – 0.18 0.012
Random Effects
σ2 0.38 0.30  
τ00 0.07 band 0.07 band  
ICC 0.16 0.20  
N 467 band 191 band  
Observations 931 226 902
Marginal R2 / Conditional R2 0.074 / 0.219 0.142 / 0.310 0.007 / 0.005

Figure: log base cort vs. avg day before


High temperature day before capture

Table: base cort vs. high day before

High temperature prior day.
  Adult Female Baseline Adult Male Baseline Nestling Baseline
Predictors Estimates CI p Estimates CI p Estimates CI p
Intercept 2.42 -1.54 – 6.38 0.231 3.96 0.05 – 7.88 0.047 8.14 3.93 – 12.36 <0.001
Temperature (C) -0.08 -0.22 – 0.07 0.316 -0.17 -0.32 – -0.02 0.022 -0.13 -0.30 – 0.04 0.123
Capture 2 1.88 0.32 – 3.44 0.018
Capture 3 -0.25 -2.47 – 1.97 0.826
Latency (min) 1.80 0.44 – 3.16 0.010 2.43 1.28 – 3.57 <0.001 0.79 -0.22 – 1.80 0.127
Random Effects
σ2 123.20 20.64  
τ00 0.80 band 1.22 band  
ICC 0.01 0.06  
N 494 band 199 band  
Observations 1004 235 913
Marginal R2 / Conditional R2 0.014 / 0.020 0.085 / 0.136 0.005 / 0.003

Figure: base cort vs. high day before


Table: log base cort vs. high day before

High temperature prior day.
  Adult Female Baseline Adult Male Baseline Nestling Baseline
Predictors Estimates CI p Estimates CI p Estimates CI p
Intercept 1.15 0.91 – 1.39 <0.001 0.99 0.48 – 1.49 <0.001 1.42 1.09 – 1.75 <0.001
Temperature (C) -0.02 -0.03 – -0.01 <0.001 -0.01 -0.03 – 0.00 0.119 -0.00 -0.02 – 0.01 0.729
Capture 2 0.15 0.06 – 0.24 0.001
Capture 3 -0.00 -0.13 – 0.13 0.963
Latency (min) 0.31 0.23 – 0.39 <0.001 0.46 0.31 – 0.61 <0.001 0.10 0.02 – 0.18 0.015
Random Effects
σ2 0.39 0.28  
τ00 0.07 band 0.08 band  
ICC 0.15 0.22  
N 494 band 199 band  
Observations 1004 235 913
Marginal R2 / Conditional R2 0.071 / 0.208 0.144 / 0.333 0.006 / 0.004

Figure: log base cort vs. high day before