Evaluation of alternative conservation strategies for the blue-billed curassow Crax alberti in the Middle Magdalena Valley, Colombia
IGOR F. VAL EN CIA,GUSTA V O H. KAT T A N,LEONO R VALENZUELA,LIN A CAR O FERNAND O ARB EL AE Z and GERMAN FORERO-MED IN A
Abstract The blue-billed curassow Crax alberti is an en- demic Colombian species categorized as Critically En- dangered on the IUCN Red List because of the effects of hunting and habitat loss. Conservation and management actions are required to ensure its persistence in the forest remnants across its range. We conducted a population via- bility analysis for a population in the municipality of Yondó, Antioquia, based on data collected in the field and avail- able information on the reproductive ecology of the species. We evaluate seven realistic conservation scenarios by com- paring the effects that changes in mortality from hunting, carrying capacity and initial population size have on the survival probability of the population. Our results indicate that: (1) the studied population is not viable over a 100- year period under current conditions; (2) mortality as a re- sult of hunting and the size of the initial population have the greatest impacts on the mean time to extinction; (3) a strat- egy based on eliminating hunting in the two sites with the largest forest remnants in the landscape could ensure the viability of the population over a 100-year period; and (4) other strategies (i.e. population supplementation with cap- tive-bred individuals, reduction of deforestation in the land- scape) do not guarantee the viability of the population if mortality from hunting remains constant, even at lowlevels. These results confirm the susceptibility of the blue-billed curassowto the threats it faces in this landscape, particularly hunting, and provide information on the conservation ac- tions that could allow this remaining population to prevail in the long term.
Keywords Blue-billed curassow, camera-trap sampling, Colombia, conservation strategies, Crax alberti, occupancy, population viability analysis
Introduction M
ost populations of threatened species require man- agement and conservation actions to ensure their
IGOR F. VALENCIA (Corresponding author,
ivalencia@wcs.org), LEONOR VALENZUELA ( LINA CARO and GERMAN FORERO-MEDINA (
orcid.org/0000-0002-4442-4222,
orcid.org/0000-0003-0814-3690),
orcid.org/0000-0001-9952-7221)
Wildlife Conservation Society, Avenida 5N # 22N-11, Cali, Colombia GUSTAVO H. KATTAN (
orcid.org/0000-0003-4198-773X) Departamento de
Ciencias Naturales y Matemáticas, Pontificia Universidad Javeriana Seccional Cali, Cali, Colombia
FERNANDO ARBELAEZ Fundación Biodiversa Colombia, Bogotá, Colombia
Received 27 April 2021. Revision requested 29 July 2021. Accepted 25 January 2022. First published online 6 February 2023.
recovery and persistence. This is particularly true for vertebrates affected by hunting and habitat loss, two of the major causes of biodiversity loss (Péres, 2001; Urquiza-Haas et al., 2011). However, in many cases conser- vation actions are implemented without previous assess- ments of their potential impacts on a population or an evaluation of their relative effectiveness in comparison to al- ternative strategies. Although for many species or popula- tions such assessments could require data that have not been collected, in some cases it is possible to complement field data with secondary information to evaluate the rela- tive potential impacts of conservation actions. One common approach to assessing such strategies is population viability analysis (Urquiza-Haas et al., 2011), which estimates the probability of a population persisting over time (Morris & Doak, 2003). Such an analysis allows us to obtain the survival probability (P[Survive]) for a given period of time and to determine the viability of the population under alternative conservation scenarios. It thus supports decision-making regarding the most effective actions based on demographic information of the popula- tion, ecological parameters of the species and stochastic variables that affect the population. This type of analysis has been widely used to address conservation problems in- volving several species, including cracids (Martínez-Morales et al., 2009; São Bernardo et al., 2014). Nonetheless, popula- tion viability analyses, as well as sensitivity analyses that as- sess the impacts of variable vital rates on population growth, have limitations and should be implemented and inter- preted with care (Manlik et al., 2018). The perturbations evaluated should be realistic and feasible to implement, the parameters used should be presented clearly, with levels of confidence to ensure robustness and reliability for decision-making, and population viability analysis models should be repeatable and reproducible (Morrison et al., 2016; Manlik et al., 2018). The cracids are one of the most threatened bird families
in the Neotropics (Silva & Strahl, 1997). The blue-billed curassow Crax alberti is endemic to Colombia. Historically it occurred in the northern dry forests of Colombia and to the south in humid forests of the Middle Magdalena
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (
https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. 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
Page 1 |
Page 2 |
Page 3 |
Page 4 |
Page 5 |
Page 6 |
Page 7 |
Page 8 |
Page 9 |
Page 10 |
Page 11 |
Page 12 |
Page 13 |
Page 14 |
Page 15 |
Page 16 |
Page 17 |
Page 18 |
Page 19 |
Page 20 |
Page 21 |
Page 22 |
Page 23 |
Page 24 |
Page 25 |
Page 26 |
Page 27 |
Page 28 |
Page 29 |
Page 30 |
Page 31 |
Page 32 |
Page 33 |
Page 34 |
Page 35 |
Page 36 |
Page 37 |
Page 38 |
Page 39 |
Page 40 |
Page 41 |
Page 42 |
Page 43 |
Page 44 |
Page 45 |
Page 46 |
Page 47 |
Page 48 |
Page 49 |
Page 50 |
Page 51 |
Page 52 |
Page 53 |
Page 54 |
Page 55 |
Page 56 |
Page 57 |
Page 58 |
Page 59 |
Page 60 |
Page 61 |
Page 62 |
Page 63 |
Page 64 |
Page 65 |
Page 66 |
Page 67 |
Page 68 |
Page 69 |
Page 70 |
Page 71 |
Page 72 |
Page 73 |
Page 74 |
Page 75 |
Page 76 |
Page 77 |
Page 78 |
Page 79 |
Page 80 |
Page 81 |
Page 82 |
Page 83 |
Page 84 |
Page 85 |
Page 86 |
Page 87 |
Page 88 |
Page 89 |
Page 90 |
Page 91 |
Page 92 |
Page 93 |
Page 94 |
Page 95 |
Page 96 |
Page 97 |
Page 98 |
Page 99 |
Page 100 |
Page 101 |
Page 102 |
Page 103 |
Page 104 |
Page 105 |
Page 106 |
Page 107 |
Page 108 |
Page 109 |
Page 110 |
Page 111 |
Page 112 |
Page 113 |
Page 114 |
Page 115 |
Page 116 |
Page 117 |
Page 118 |
Page 119 |
Page 120 |
Page 121 |
Page 122 |
Page 123 |
Page 124 |
Page 125 |
Page 126 |
Page 127 |
Page 128 |
Page 129 |
Page 130 |
Page 131 |
Page 132 |
Page 133 |
Page 134 |
Page 135 |
Page 136 |
Page 137 |
Page 138 |
Page 139 |
Page 140