Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence, by Darryl I. MacKenzie, James D. Nichols, J. Andrew Royle, Kenneth H. Pollock, Larissa L. Bailey, and James E. Hines. 2006. 324 pp. Elsevier, Amsterdam, Netherlands. $64.95. ISBN 978-0-12-088766-8 (hardcover).

2006 ◽  
Vol 34 (4) ◽  
pp. 1243-1244
Author(s):  
Paul F. Doherty
Author(s):  
Michael K. Young ◽  
Daniel J. Isaak ◽  
Kevin S. McKelvey ◽  
Michael K. Schwartz ◽  
Kellie J. Carim ◽  
...  

2017 ◽  
Author(s):  
Siyuan Chen ◽  
Julien Epps ◽  
Eliathamby Ambikairajah ◽  
Phu Ngoc Le
Keyword(s):  

2015 ◽  
Vol 6 (5) ◽  
pp. 557-565 ◽  
Author(s):  
David A. W. Miller ◽  
Larissa L. Bailey ◽  
Evan H. Campbell Grant ◽  
Brett T. McClintock ◽  
Linda A. Weir ◽  
...  

2009 ◽  
Vol 19 (1) ◽  
pp. 63-76 ◽  
Author(s):  
BORIS A. TINOCO ◽  
PEDRO X. ASTUDILLO ◽  
STEVEN C. LATTA ◽  
CATHERINE H. GRAHAM

SummaryThe Violet-throated MetaltailMetallura baroniis a high altitude hummingbird endemic to south-central Ecuador currently considered globally ‘Endangered’. Here we present the first detailed assessment of its distribution, ecology and conservation. We first used a maximum entropy model (Maxent model) to create a predicted distribution for this species based on very limited species occurrence data. We used this model to guide field surveys for the species between April and October 2006. We found a positive relationship between model values and species presence, indicating that the model was a useful tool to predict species occurrence and guide exploration. In the sites where the metaltail was found we gathered data on its habitat requirements, food resources and behaviour. Our results indicate that Violet-throated Metaltail is restricted to the Western Cordillera of the Andes Mountains in Azuay and Cañar provinces of Ecuador, with an area of extent of less than 2,000 km2. Deep river canyons to the north and south, lack of suitable habitat, and potential interspecific competition in the east may limit the bird's distribution. The species occurred in three distinct habitats, includingPolylepiswoodland, the upper edge of the montane forest, and in shrubby paramo, but we found no difference in relative abundance among these habitats. The metaltail seems to tolerate moderate human intervention in its habitats as long as some native brushy cover is maintained. We found thatBrachyotumsp.,Berberissp., andBarnadesiasp. were important nectar resources. The ‘Endangered’ status of this species is supported due to its restricted distribution in fragmented habitats which are under increasing human pressures.


2010 ◽  
Vol 143 (2) ◽  
pp. 479-484 ◽  
Author(s):  
Elise F. Zipkin ◽  
J. Andrew Royle ◽  
Deanna K. Dawson ◽  
Scott Bates

2011 ◽  
Vol 22 (3) ◽  
pp. 288-298 ◽  
Author(s):  
M. CHAMMEM ◽  
S. SELMI ◽  
T. KHORCHANI ◽  
S. NOUIRA

SummaryModelling the distribution of species of conservation concern is an important issue in population ecology. Classically, logistic regression analyses are conducted to estimate species’ distributions from detection/non-detection data in a sample of sites and to test for the significance of several environmental variables in predicting the probability of occurrence. These modelling approaches assume that species detection probability is constant and equals one in all sampled sites, which is critical, notably in the case of rare, shy and cryptic species. The capture-recapture-like approach developed by Mackenzie et al. (2002, 2003) provides a reliable tool that accounts for imperfect detection when estimating species occurrence, as well as for assessing the relevance of site features as predictors of species occurrence probability. The aim of this study was to explore the possibility of using this approach in the context of Houbara Bustard Chlamydotis undulata in southern Tunisia. Our results show once more the low detectability of this emblematic species and stress the need to take this factor into account when estimating Houbara spatial distribution. The distribution of Houbara in southern Tunisia is more likely to be shaped by human-related than by habitat factors. In particular, Houbara occurrence was positively associated with site remoteness and camel numbers. Houbara seemed to avoid areas with high human presence and shared the most remote and agriculture-free zones with free-ranging camels.


2002 ◽  
Vol 9 (1) ◽  
pp. 1-12 ◽  
Author(s):  
R. Michael Erwin ◽  
Courtney J. Conway ◽  
Steven W. Hadden

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