scholarly journals Wildlife Population Monitoring Study among Endangered Animals at Protected Areas in Nepal

Author(s):  
Amir Sadaula ◽  
Yagya Raj Pandeya ◽  
Yogendra Shah ◽  
Dhan Kumar Pant ◽  
Rabin Kadariya
2020 ◽  
Author(s):  
Zhen Liu ◽  
Luis Sandoval ◽  
Lauren Sherman ◽  
Andrew Wilson

ABSTRACTAnimals endemic to tropical mountains are known to be especially vulnerable to climate change. The Cordillera de Talamanca (Costa Rica and Panama) is a geographically isolated mountain chain and global biodiversity hotspot, home to more than 50 endemic bird species. We used eBird community science observations to predict the distributions of a suite of 48 of these endemic birds in 2006-2015, and in 2070, under four climate change scenarios. Species distributions were predicted using program Maxent, incorporating elevation, satellite derived habitat data, and WorldClim climate variables. Model fit, as assessed by Area under the Receiver Operator Curve (AUC) was very high for most species, ranging from 0.877 to 0.992 (mean of 0.94). We found that most species are predicted to undergo range contractions by 2070, with a mean of 15% under modest climate change (RCP 2.6) up to a mean of 40% under more severe climate change (RCP 8.5). Most of the current ranges of these species are within existing protected areas (average of 59% in 2006-2015), and with prospective range contractions, the importance of these protected areas is forecast to increase. We suggest that these predicted range declines should elevate conservation concerns for this suite of species, and vigilance, in the form of better population monitoring, is urgently needed.


2020 ◽  
Vol 2020 (3) ◽  
Author(s):  
Isobel Phoebus ◽  
John Boulanger ◽  
Hans Geir Eiken ◽  
Ida Fløystad ◽  
Karen Graham ◽  
...  

2016 ◽  
Vol 7 (1) ◽  
Author(s):  
Megan D. Barnes ◽  
Ian D. Craigie ◽  
Luke B. Harrison ◽  
Jonas Geldmann ◽  
Ben Collen ◽  
...  

2021 ◽  
Author(s):  
Erin G Wessling ◽  
Martin Surbeck

Wildlife population monitoring depends on accurate counts of individual animals or artefacts of behavior (e.g., nests or dung), but also must account for potential biases in the likelihood to encounter these animals or artefacts. In indirect surveying, which depends largely upon artefacts of behavior, likelihood to encounter indirect signs of a species is derived from both artefact production and decay. Although environmental context as well as behavior contribute to artefact abundance, variability in behaviors relevant to artefact abundance is rarely considered in population estimation. Here we demonstrate how ignoring behavioral variability contributes to overestimation of population size of a highly endangered great ape endemic only to the Democratic Republic of the Congo, the bonobo (Pan paniscus). Variability in decay of signs of bonobo presence (i.e., nests) is well documented and linked to environmental determinants. Conversely, a single metric of sign production (i.e., nest construction) is commonly used to estimate bonobo density, assumed to be representative of bonobo nest behavior across all contexts. We estimated nest construction rates from three bonobo groups within the Kokolopori Bonobo Reserve and found that nest construction rates in bonobos to be highly variable across populations as well as seasonal within populations. Failure to account for behavioral variability in nest construction leads to potentially severe degradation in accuracy of bonobo population estimates of abundance, accounting for a likely overestimation of bonobo numbers by 34%, and in the worst cases as high as 80% overestimation. Using bonobo nesting as an example, we demonstrate that failure to account for inter- and intra-population behavioral variation compromises our ability to monitor population change or reliably compare contributors to population decline or persistence. We argue that variation in sign production is but one of several potential ways that behavioral variability can affect conservation monitoring, should be measured across contexts whenever possible, and must be considered in population estimation confidence intervals. With increasing attention to behavioral variability as a potential tool for conservation, conservationists must also account for the impact that behavioral variability across time, space, individuals, and populations can play upon precision and accuracy of wildlife population estimation.


1989 ◽  
Vol 16 (3) ◽  
pp. 237-244 ◽  
Author(s):  
Asad R. Rahmani

The 3,162 sq. km Desert National Park (DNP) is one of the largest protected areas in India. It represents all of the natural features of the Thar Desert in India. Since its establishment in the early 1980s, the wildlife population has increased, and now the Indian Gazelle, the Great Indian Bustard, the Desert Fox, etc., are easily seen in it. But although many core areas of 500 to 1,000 hectares each have been established, progress in the development of the Park is slow, and now the future of the Park itself is in jeopardy owing to a plan to construct a feeder canal of the main Indira Gandhi Nahar (canal) Project (IGNP), which would bisect the Park. It is feared that such improvement in irrigation facilites would make it impossible to shift the villagers outside the Park boundary, as had been planned earlier—and moreover, it would attract settlers to the Park. Salient features of the DNP, its important fauna, and various options to save the Park, are described in this paper.


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