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Further comments on the use of interview-based data for species distribution studies: a reply to Petracca & Frair

Published online by Cambridge University Press:  06 February 2017

N. Caruso
Affiliation:
Grupo de Ecología Comportamental de Mamíferos, Cát. Fisiología Animal, Depto. Biología, Bioquímica y Farmacia, Universidad Nacional del Sur, San Juan 670, 8000 Bahía Blanca, Argentina. E-mail nccaruso@gmail.com
E. Luengos Vidal
Affiliation:
Grupo de Ecología Comportamental de Mamíferos, Cát. Fisiología Animal, Depto. Biología, Bioquímica y Farmacia, Universidad Nacional del Sur, San Juan 670, 8000 Bahía Blanca, Argentina. E-mail nccaruso@gmail.com
M. Guerisoli
Affiliation:
Grupo de Ecología Comportamental de Mamíferos, Cát. Fisiología Animal, Depto. Biología, Bioquímica y Farmacia, Universidad Nacional del Sur, San Juan 670, 8000 Bahía Blanca, Argentina. E-mail nccaruso@gmail.com
M. Lucherini
Affiliation:
Grupo de Ecología Comportamental de Mamíferos, Cát. Fisiología Animal, Depto. Biología, Bioquímica y Farmacia, Universidad Nacional del Sur, San Juan 670, 8000 Bahía Blanca, Argentina. E-mail nccaruso@gmail.com
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Abstract

Type
Letters
Copyright
Copyright © Fauna & Flora International 2017 

In their letter, Petracca & Frair (Reference Petracca and Frair2016) detail several methodological considerations in our examination of whether interview-based surveys produce unreliable results (Caruso et al., Reference Caruso, Luengos Vidal, Guerisoli and Lucherini2016). We thank them for pointing out these issues and, by doing so, helping to strengthen our main point.

We agree with most of the methodological concerns that Petracca & Frair raise. We also believe, however, that most of the assumptions we made in our research are common in the conservation literature, especially with respect to species that are rare, cryptic, elusive or otherwise difficult to detect. Robust sampling designs for studying such species frequently require large samples and, consequently, human and monetary resources that are not always available. Thus pooling data from different years is a common practice in occupancy and/or species distribution modelling (Burton et al., Reference Burton, Sam, Balangtaa and Brashares2012; Cuyckens et al., Reference Cuyckens, Falke and Petracca2014). We also pooled the presence/absence information of the five camera traps at each site, to increase the detection probability of the species per site. By doing so, we aimed to provide a more reliable estimate of the presence status of each species at each site.

Perhaps the most important point, however, is that for the interview-based data we only calculated a naïve occurrence probability (i.e. the proportion of sites in which the species were present, without taking into account detection probability). We did this because our interview sampling was not designed to be analysed within the framework of occupancy modelling, and it was not our intention to estimate occupancy parameters. As we discussed (Caruso et al., Reference Caruso, Luengos Vidal, Guerisoli and Lucherini2016), Zeller et al. (Reference Zeller, Nijhawan, Salom-Pérez, Potosme and Hines2011) and Petracca et al. (Reference Petracca, Ramírez-Bravo and Hernández-Santín2014) have shown, however, that estimating occupancy parameters for interview-based data is possible. Nevertheless, in spite of the fact that it has been shown that the resulting models may not be reliable (e.g. Gu & Swihart, Reference Gu and Swihart2004), several studies (e.g. Feijó et al., Reference Feijó, Garbino, Campos, Rocha, Ferrari and Langguth2015; Ochoa-Quintero et al., Reference Ochoa-Quintero, Gardner, Rosa, Barros Ferraz and Sutherland2015) have modelled species distributions using interview data that did not have sufficient replicates to estimate occupancy parameters.

In conclusion, the main objective of our article was to present a case study in which the presence data obtained by interviews appeared to be insufficiently reliable to elucidate the distribution of certain species, such as some carnivores. Our advice is that researchers should be cautious when drawing conclusions from interview-based data. Thus our main conclusion was not that ‘interview data are unreliable’ (Petracca & Frair, Reference Petracca and Frair2016). Rather, interview data can potentially be skewed in some particular situations, and should be calibrated with other kinds of data, such as from camera trapping. We believe our conclusion offers valuable insights to help improve studies that utilize interview-based data.

References

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