Conservation of the blue‐billed curassow 241
FIG. 1 The 300 km2 study area in the south-west of the municipality of Yondó, Colombia, with the locations of camera traps, indicating those where the blue-billed curassow Crax alberti was detected at least once.
between the models (Table 2), we used the null model for detection as it is the most parsimonious (i.e. with the least number of parameters). Next, we adjusted for occupancy. Considering thatmany of the variableswere highly correlated (Fig. 2), themodels were run with each of the variables inde- pendentlyandonly incorporatedmore thanone variable if the correlationwas,0.3 and not significant. Aswe do not have a high presence of zeros it was not necessary to correct for this factor.We adjusted the models using the unmarked package in R (R Development Core Team, 2010; Fiske & Chandler, 2011). To determine the model that best represents the data, we used the Akaike information criterion corrected for small sample size (AICc) and Akaike weight (lowest AICc score and highest Akaike weight score; Burnham & Anderson, 2002).
Population viability analysis
To evaluate the viability of the population and compare the effects of alternative conservation actions, we performed a
population viability analysis using Vortex 10.0.7.9, which uses a Monte Carlo simulation of the effects of the deter- ministic forces as well as demographic, environmental and genetic stochastic events on wildlife populations (Lacy, 1993). We built the model based on results obtained in the occupancy analysis as well as available information on the species obtained from published articles and captive breed- ing programmes implemented in national (Asociación Co- lombiana de Parques Zoológicos y Acuarios) and interna- tional zoos (Houston Zoo, USA; Crnokrak & Roff, 1999; Cuervo et al., 1999; Reed et al., 2003; Brooks & Fuller, 2006; Medina & Castañeda, 2006;O’Grady et al., 2006; Quevedo et al., 2008). As the forest patches were once connected, we assumed there is only one genetic population and that con- nectivity between patches would be sufficient to facilitate movement of the blue-billed curassow between them; there- fore, we modelled a single population in the system. We assumed that the system is not saturated (N0,k)because previous occupancy models indicate heterogeneity in the probability of occupancy, with some habitat areas potentially
Oryx, 2023, 57(2), 239–247 © The Author(s), 2023. Published by Cambridge University Press on behalf of Fauna & Flora International doi:10.1017/S0030605322000060
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