Patch-occupancy models indicate human activity as major determinant of forest elephant Loxodonta cyclotis seasonal distribution in an industrial corridor in Gabon

2007 ◽  
Vol 135 (2) ◽  
pp. 189-201 ◽  
Author(s):  
Ralph Buij ◽  
William J. McShea ◽  
Patrick Campbell ◽  
Michelle E. Lee ◽  
Francisco Dallmeier ◽  
...  
Oryx ◽  
2018 ◽  
Vol 54 (1) ◽  
pp. 90-100 ◽  
Author(s):  
Stephanie Brittain ◽  
Madeleine Ngo Bata ◽  
Paul De Ornellas ◽  
E. J. Milner-Gulland ◽  
Marcus Rowcliffe

AbstractInformation on the distribution and abundance of the forest elephant Loxodonta cyclotis is needed to allocate limited resources appropriately and set conservation goals for the species. However, monitoring at large scales in forest habitats is complicated, expensive and time consuming. We investigated the potential of applying interview-based occupancy analysis as a tool for the rapid assessment of the distribution and relative abundance of forest elephants in eastern Cameroon. Using single-season occupancy models, we explored the covariates that affect forest elephant occupancy and detectability, and identified spatial and temporal patterns in population change and occupancy. Quantitative and qualitative socio-demographic data offer additional depth and understanding, placing the occupancy analysis in context and providing valuable information to guide conservation action. Detectability of forest elephants has decreased since 2008, which is consistent with the decline in perceived abundance in occupied sites. Forest elephants occupy areas outside protected areas and outside the known elephant range defined by IUCN. Critical conservation attention is required to assess forest elephant populations and the threats they face in these poorly understood areas. Interview-based occupancy analysis is a reliable and suitable method for a rapid assessment of forest elephant occupancy on a large scale, as a complement to, or the first stage in, a monitoring process.


2019 ◽  
Author(s):  
Colin M. Brand ◽  
Mireille B. Johnson ◽  
Lillian D. Parker ◽  
Jesús E. Maldonado ◽  
Lisa Korte ◽  
...  

AbstractThe noninvasive monitoring of population size and demography is critical to effective conservation, but forest living taxa can be difficult to directly observe due to elusiveness and/or inaccessible habitat. This has been true of African forest elephants (Loxodonta cyclotis), for which we have limited information regarding population size and social behavior despite their threatened conservation status. In this study, we estimated demographic parameters focusing specifically on population size and density using genetic capture-recapture of forest elephants in the southern Industrial Corridor of the Gamba Complex of Protected Areas, which is considered a global stronghold for forest elephants in southwestern Gabon. Additionally, we examined forest elephant sociality through analysis of social networks, predicting that we would find matrilineal structure as exhibited by savanna elephants and other forest elephants. Given 95% confidence intervals, we estimate the size of the population in the sampled area to be between 754 and 1,502 individuals and our best density estimate ranges from 0.47 to 0.80 elephants per km2. When extrapolated across the entire Industrial Corridor, this estimate suggests an elephant population size of 3,033 to 6,043 in this area based on abundance or 1,684 to 2,832 based on density, which is 40 – 83% smaller than previously suggested. Furthermore, our social network analysis revealed approximately half of network components included females with different mitochondrial haplotypes; this suggests a wider range of variation in forest elephant sociality than has previously been reported. This study emphasizes the threatened status of forest elephants and demonstrates the need to further refine baseline estimates of population size and knowledge on social behavior in this taxon, both of which will aid in determining how population dynamics in this keystone species may be changing through time in relation to increasing conservation threats.


1976 ◽  
Vol 93 (2) ◽  
pp. 372-375 ◽  
Author(s):  
Mitchell Bush ◽  
David W. Heese ◽  
Clinton W. Gray ◽  
A. Everette James

2013 ◽  
Vol 70 (10) ◽  
pp. 1429-1437 ◽  
Author(s):  
Timothy Jensen ◽  
Jason C. Vokoun

We used multiseason, multistate patch occupancy models to investigate habitat use of a regionally rare minnow (bridle shiner, Notropis bifrenatus) within a difficult-to-sample, swampy stream system by defining occupancy states as coarse abundance categories (i.e., none, some, many). Habitat patches were repeatedly subsampled during three sampling periods spanning June to August 2011 using a nonstandard purse-and-lift method with a seine net, as poorly defined shorelines, unconsolidated substrate, and emergent vegetation limited beaching and restricted possible sampling locations. Detection probabilities increased from June to August, likely due to increasing catch per effort as age 0 became vulnerable to the gear, supported by the probability of detection being greater when the species was at high abundance, given occupancy. The probability of a habitat patch being occupied increased with the percent of macrophyte cover and decreased with increasing distance from another occupied patch. Decreasing mean depth showed a weak relationship to high abundance, given a patch was occupied. In summary, the multistate occupancy analytical approach was highly informative for developing quantitative habitat relationships and was seen as an effective framework for evaluating habitat use of aquatic organisms that inhabit environments inherently difficult to sample for which imperfect detection and sampling efficiency are of concern.


2021 ◽  
Vol 171 ◽  
pp. 77-85
Author(s):  
Shifra Z. Goldenberg ◽  
Andrea K. Turkalo ◽  
Peter H. Wrege ◽  
Daniela Hedwig ◽  
George Wittemyer

The Condor ◽  
2014 ◽  
Vol 116 (3) ◽  
pp. 316-324
Author(s):  
Joel H. Reynolds ◽  
Heather M. Renner

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