Reply to the comment on "Synchronizing biological cycles as key to survival under a scenario of global change: The Common quail (Coturnix coturnix) strategy" by Rodriguez-Teijeiro et al
- 1. Department of Animal Science, Division of Wildlife, Faculty of Life Sciences and Engineering, University of Lleida, Lleida (Spain)
- 2. Division of Conservation Biology, Institute of Ecology and Evolution, University of Bern, Bern (Switzerland)
Description
Highlights: • The ecological modeling of migratory species is of great scientific interest due to the threat of global change • Geographic spatio-temporal models constitute great improvement compared to local models for understand ecological strategy • Space-time use with climate can help to understand biological synchronization process under global change scenarios Two methodological criticisms of our paper "Synchronizing biological cycles as key to survival under a scenario of global change: The Common quail (Coturnix coturnix) strategy" (Nadal et al., 2018) were proposed in the comment by Rodriguez-Teijeiro et al. (2018) regarding: 1) our estimates of the mean date of arrival, duration of stay and departure stages in the different regions studied; and 2) the analyses carried out to correlate the phenology of the species with changes in the climate variables. The conceptual model that we presented relates the dynamics of this quail population, which moves between short periods of stays, and the spatio-temporal structure of their geographic distribution data, in order to understand the ecology of these birds and to link their movement and residency patterns with geographical area and climate conditions. The probability that quail are resident in a region on any particular date is a result of their overall ecological strategy. We believe that Rodríguez-Teijeiro et al. (2018) have misunderstood our model, leading to their criticism of the statistical tests that we applied.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.scitotenv.2018.04.184Additional details
Identifiers
- DOI
- 10.1016/j.scitotenv.2018.04.184;
- PII
- S0048969718313615;
Publishing Information
- Journal Title
- Science of the Total Environment
- Journal Volume
- 635
- Journal Page Range
- p. 1558-1560
- ISSN
- 0048-9697
- CODEN
- STENDL
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 53051137
- Subject category
- S54: ENVIRONMENTAL SCIENCES;
- Resource subtype / Literary indicator
- Numerical Data
- Descriptors DEI
- BIRDS; CLIMATES; ECOLOGY; PHENOLOGY; SIMULATION; SPACE DEPENDENCE; STATISTICAL DATA; TIME DEPENDENCE
- Descriptors DEC
- ANIMALS; DATA; INFORMATION; NUMERICAL DATA; VERTEBRATES
Optional Information
- Copyright
- Copyright (c) 2018 Elsevier B.V. All rights reserved.