Monitoring the spawning behaviour of chum salmon with an acceleration data logger
By Y. Tsuda, R. Kawabe, H. Tanaka, Y. Mitsunaga, T. Hiraishi, Katsutaro Yamamoto, K. Nashimoto. 2006
105 citations recorded by the source corpus.
Subfields: Global and Planetary Change, Nature and Landscape Conservation, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/d9ef6bef24e790b0edbac6f776cc51f112051b74
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Global and Planetary Change
- Y. Papastamatiou
- K. Holland
- Christopher G. Lowe
- Emily L C Shepard
- J. Dale
- H. L. Pratt
- Rory P. Wilson
- J. Carrier
In Nature and Landscape Conservation
- Rory P. Wilson
- N. Whitney
- K. Holland
- Emily L C Shepard
- A. Gleiss
- Y. Papastamatiou
- J. Carrier
- H. L. Pratt
Citations in the corpus
- Use of an acceleration data logger to measure diel activity patterns in captive whitetip reef sharks, Triaenodon obesus (2007, background): “Acceleration data loggers are small, can be applied to an animal quickly and externally, and have been used with a variety of marine birds, mammals, and fishes to look at aspects of swimming performance, spawning behavior, foraging activity, and bioenergetics (e.g. Yoda et al. 1999; Tanaka et al. 20”
- Accelerating estimates of activity-specific metabolic rate in fishes: Testing the applicability of acceleration data-loggers (2010, background): “The high resolution of accelerometers allows the construction of detailed time-budgets (Tsuda et al., 2006), enabling researchers to assess key currencies in the ecology of fishes (namely, time and energy) which is not possible using any other technique.”
- Identification of animal movement patterns using tri-axial accelerometry (2008, background): “…both animal orientation and the dynamics of movement (Yoda et al. 1999), animal-attached accelerometers can provide data on the occurrence of a wide range of behaviours in free-living organisms which cannot readily be observed (e.g. Watanabe et al. 2005, Tsuda et al. 2006, Wilson et al. 2008).”
- Identifying shark mating behaviour using three-dimensional acceleration loggers (2010, methodology): “For example, Tsuda et al. (2006) used accelerometers to classify 8 behaviours associated with spawning in female chum salmon Oncorhynchus keta and showed that the occurrence of these behaviours was substantially affected by turbid water runoff after a storm.”