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Chapron, G., Kaczensky, P., Linnell, J. D. C., Arx, M., Huber, D., & Andrén, H. (2014). Recovery of large carnivores in Europe's modern human-dominated landscapes. Science, 346.
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Charif, R. A., Waack, A. M., & Strickman, L. M. (2008). Raven Pro 1.3 User's Manual. Ithaca, New York: Cornell Laboratory of Ornithology.
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Core Development Team, R. (2011). R: a language and environment for statistical computing. Vienna, Austria: R foundation for statistical computing.
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Dugnol, B., Fernández, C., & Galiano, G. (2007). Wolf population counting by spectrogram image processing. Appl Math Comput, 186.
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Dugnol, B., Fernández, C., Galiano, G., & Velasco, J. (2007). Implementation of a diffusive differential reassignment method for signal enhancement: An application to wolf population counting. Appl Math Comput, 193.
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Dugnol, B., Fernández, C., Galiano, G., & Velasco, J. (2008). On a chirplet transform-based method applied to separating and counting wolf howls. Signal Process, 88.
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Fritts, S. H., Bangs, E. E., & Gore, J. F. (1994). The relationship of wolf recovery to habitat conservation and biodiversity in the northwestern United States. Landsc Urban Plan, 28.
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Fuller, T. K., & Sampson, B. A. (1988). Evaluation of a simulated howling survey for wolves. J Widl Manag, 52.
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Galaverni, M., Palumbo, D., Fabbri, E., Caniglia, R., Greco, C., & Randi, E. (2012). Monitoring wolves (Canis lupus) by non-invasive genetics and camera trapping: A small-scale pilot study. Eur J Wildl Res, 58.
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Gazzola, A., Avanzinelli, E., Mauri, L., Scandura, M., & Apollonio, M. (2002). Temporal changes of howling in south European wolf packs. Ital J Zool, 69.
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