Detecting lunar cycles in marine ecology: periodic regression versus categorical ANOVA

By A. Debruyn, J. Meeuwig. 2001

106 citations recorded by the source corpus.

Subfields: Aquatic Science, Global and Planetary Change, Physiology

View Paper: https://www.semanticscholar.org/paper/861cc9f94fb6f4e86fd68a7a4e995798a1d03114

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aquatic Science

1. Robert Arlinghaus
2. T. Klefoth
3. A. Kuparinen
4. L. Jonkers
5. M. Kučera

In Global and Planetary Change

1. Robert Arlinghaus
2. T. Klefoth
3. H. Queiroga
4. A. Kuparinen
5. L. Jonkers
6. M. Kučera
7. S. Cooke

In Physiology

1. Robert Arlinghaus
2. A. Kuparinen
3. L. Jonkers
4. M. Kučera
5. T. Klefoth

Citations in the corpus

• Tide and wind control of megalopal supply to estuarine crab populations on the Portuguese west coast (2006, methodology): “Descriptions of the use of regression methods for the analysis of biological rhythms, which are usually referred to as periodic regression, can be found in Batschelet (1979) and deBruyn & Meeuwig (2001).”
• Abiotic and fishing-related correlates of angling catch rates in pike (Esox lucius) (2010, methodology): “For ore details of this method, see deBruyn and Meeuwig (2001).”
• Global analysis of seasonality in the shell flux of extant planktonic foraminifera (2015, methodology): “To objectively characterise the pattern of the seasonal shell flux, we have used periodic regression, a simple method that is suited for cyclic data at low and variable resolutions, irregular starting points and with short duration (Batchelet, 1981; deBruyn and Meeuwig, 2001; Mackas et al., 2012).”