Wandering albatrosses exert high take-off effort only when both wind and waves are gentle

  1. Leo Uesaka  Is a corresponding author
  2. Yusuke Goto
  3. Masaru Naruoka
  4. Henri Weimerskirch
  5. Katsufumi Sato
  6. Kentaro Q Sakamoto
  1. Atmosphere and Ocean Research Institute, The University of Tokyo, Japan
  2. Information and Technology Center, The University of Tokyo, Japan
  3. Graduate School of Environmental Studies, Nagoya University, Japan
  4. Centre d’Etudes Biologiques de Chize (CEBC), UMR 7372 CNRS, Université de La Rochelle, France
  5. Aeronautical Technology Directorate, Japan Aerospace Exploration Agency (JAXA), Japan
9 figures, 2 tables and 2 additional files

Figures

Conceptual framework of the study estimating environmental conditions experienced by studied individual.
Wind and wave conditions experienced by taking-off wandering albatrosses.

(A, B) Histogram of windspeed and wind direction (n = 427). (C, D) Histogram of wave height and wave direction (n = 299).

Figure 3 with 2 supplements
Histogram of (A) running duration, (B) running speed, (C) flapping number, and (D) flapping frequency.

Graphs A, B, and C are composed of 703 samples and graph D is composed of 669 samples.

Figure 3—figure supplement 1
Sexual difference of (A) running duration, (B) running speed, (C) flapping number, and (D) flapping frequency.

Sample numbers of each sex are 378 for male and 325 for female (361 and 301 for D).

Figure 3—figure supplement 2
Running duration and running speed had significant correlation (r = 0.57, p < 0.01, n = 703).

Solid line shows the linear regression line determined from the linear mixed model (LMM). The slope value with a fixed slope of zero was 1.23.

Effect of wind direction on wandering albatross take-off.

Relative take-off direction to wind direction (black circles, n = 427) significantly distributed around 0° (headwind), in contrast to cruising direction relative to the wind (gray x-mark, n = 427). …

Environmental effect on take-off.

Effort for the take-off (running duration, running speed, flapping number, and flapping frequency) significantly decreased as wave height and wind speed increased (p < 0.01) except the relationship …

Figure 6 with 1 supplement
Take-off conditions divided into four environmental categories.

(A) Correlation between wind speed and wave height was weak (r = 0.27, n = 185). Bar charts and solid lines written above and right of the scatter plot are normed histograms of wind speed, wave …

Figure 6—figure supplement 1
Take-off effort (gray scale) in relation to wind speed and wave height.

(A) Running duration, (B) running speed, (C) flapping number, and (D) flapping frequency are shown in the gray scale corresponding to the wind speed (x-axis) and wave height (y-axis). Darker color …

Take-off effort simulation using the estimated coefficient from LMM.

(A) Running duration, (B) running speed, (C) flapping number, and (D) flapping frequency in response to the wave height change under weak wind (dashed line, 2 m/s) and strong wind (solid line, 8 …

Time series data of horizontal speed (top), lateral acceleration (middle), and dorsoventral acceleration (bottom) signals of the wandering albatross at the moment of take-off.

Horizontal speed starts increasing from the beginning of the take-off. Red square shows the detected running phase based on the variance of the lateral acceleration signal. Red bars show the …

Appendix 1—figure 1
Leg motion and acceleration signal during seabird take-off.

(A) The video recorder mounted on the chest of the bird captured their legs moving in turns to run on the sea surface. (B) Sway acceleration record of taking-off streaked shearwater. Specific signal …

Tables

Table 1
Result of Akaike information criterion (AIC) and p values from LMM estimating the environmental effect on take-off behaviors.

The best models are shown in bold.

Response variablesNExplanatory variablesAICp value (Chi square)
Running duration427Null1505.2
Wind speed1464.46.1 × 10−11
Running duration299Null1052.6
Wave height1042.04.0 × 10−4
Running speed427Null1584.5
Wind speed1480.02.2 × 10−16
Running speed299Null1092.9
Wave height1077.83.4 × 10−5
Flapping number427Null2867.0
Wind speed2834.44.0 × 10−9
Flapping number299Null1798.6
Wave height1773.52.0 × 10−7
Flapping frequency407Null138.4
Wind speed115.66.4 × 10−7
Flapping frequency283Null70.1
Wave height67.20.026
Table 2
Results of Akaike information criterion (AIC) from LMM considering both wind speed and wave height as candidates affecting take-off behaviors.

The best models are shown in bold.

Response variablesNExplanatory variablesAIC
Running duration185Null655.81
Wave height650.06
Wind speed639.45
Wind speed + Wave height637.81
Wind speed + Wave height + Interaction631.02
Running speed185Null699.62
Wave height690.57
Wind speed657.69
Wind speed + Wave height655.76
Wind speed + Wave height + Interaction655.49
Flapping number185Null1129.4
Wave height1117.7
Wind speed1109.0
Wind speed + Wave height1102.3
Wind speed + Wave height + Interaction1101.7
Flapping frequency175Null70.43
Wave height70.96
Wind speed52.25
Wind speed + Wave height54.22
Wind speed + Wave height + Interaction50.72

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