scholarly journals A field test of unconventional camera trap distance sampling to estimate abundance of marmot populations

2020 ◽  
Vol 2020 (4) ◽  
Author(s):  
Luca Corlatti ◽  
Stefano Sivieri ◽  
Bogna Sudolska ◽  
Stefano Giacomelli ◽  
Luca Pedrotti
Keyword(s):  
Field Test ◽  
Distance Sampling ◽  
Camera Trap

Validating camera trap distance sampling for chimpanzees

2019 ◽  
Vol 81 (3) ◽  
pp. e22962 ◽  
Author(s):  
Noémie Cappelle ◽  
Marie‐Lyne Després‐Einspenner ◽  
Eric J. Howe ◽  
Christophe Boesch ◽  
Hjalmar S. Kühl
Keyword(s):  
Distance Sampling ◽  
Camera Trap

scholarly journals Evaluating the status of the Endangered tiger Panthera tigris and its prey in Panna Tiger Reserve, Madhya Pradesh, India

Oryx ◽  
2010 ◽  
Vol 44 (3) ◽  
pp. 383-389 ◽  
Author(s):  
Rajesh Gopal ◽  
Qamar Qureshi ◽  
Manish Bhardwaj ◽  
R.K. Jagadish Singh ◽  
Yadvendradev V. Jhala
Keyword(s):  
Distance Sampling ◽  
Camera Trap ◽  
Madhya Pradesh ◽  
Suitable Habitat ◽  
Panthera Tigris ◽  
Single Male ◽  
Tiger Reserve ◽  
The Status ◽  
Local Extinctions ◽  
Tiger Population

AbstractWe evaluated the status of tigers Panthera tigris and their prey in Panna Tiger Reserve using occupancy surveys, camera-trap mark-recapture population estimation, and distance sampling along foot transects, in 2006. Forest Range tiger occupancy in the Panna landscape (3,500 km2) estimated by 1,077 surveys of 5 km each was 29% ± SE 1. Within occupied Ranges of the Reserve a mean of 68% ± SE 7 of forest Beats had tiger signs. A total of 800 camera-trap nights yielded 24 captures of seven individual adult tigers within an effective trap area of 185.0 ± SE 15.8 km-2. The best model incorporating individual heterogeneity (Mh) estimated the tiger population to be 9 ± SE 2. Tiger density was 4.9 ± SE 1.5 per 100 km2 and was lower than that reported in 2002 (6.49 tigers per 100 km2). Both occupancy and density indicated a decline of the tiger population in the Reserve. Mean ungulate density was 42.4 ± SE 8.4 km-2 and comparable to other tiger reserves. Since our survey in 2006 tiger status in Panna has deteriorated further because of poaching. Panna was occupied by dacoits in late 2006 and anti-insurgent activities caused further disturbances. In late 2008 there was a single male tiger left in Panna but he has not been seen since January 2009. The Madhya Pradesh Forest department has reintroduced three tigers to Panna from neighbouring tiger reserves. Panna, along with Sariska Tiger Reserve, exemplifies the vulnerability of small, isolated tiger populations to local extinctions caused by poaching, even in areas with suitable habitat and sufficient prey.

scholarly journals Drawn out of the shadows: Surveying secretive forest species with camera trap distance sampling

2020 ◽  
Vol 57 (5) ◽  
pp. 963-974 ◽  
Author(s):  
Mattia Bessone ◽  
Hjalmar S. Kühl ◽  
Gottfried Hohmann ◽  
Ilka Herbinger ◽  
Kouame Paul N'Goran ◽  
...  
Keyword(s):  
Distance Sampling ◽  
Camera Trap ◽  
Forest Species

A Field Test of Distance Sampling Methods for a Tropical Forest Bird Community

The Auk ◽  
2009 ◽  
Vol 126 (2) ◽  
pp. 439-448 ◽  
Author(s):  
George A. Gale ◽  
Philip D. Round ◽  
Andrew J. Pierce ◽  
Somchai Nimnuan ◽  
Anak Pattanavibool ◽  
...  
Keyword(s):  
Tropical Forest ◽  
Field Test ◽  
Sampling Methods ◽  
Distance Sampling ◽  
Bird Community ◽  
Forest Bird

scholarly journals Estimating animal abundance and effort–precision relationship with camera trap distance sampling

Ecosphere ◽  
2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Noémie Cappelle ◽  
Eric J. Howe ◽  
Christophe Boesch ◽  
Hjalmar S. Kühl
Keyword(s):  
Distance Sampling ◽  
Camera Trap ◽  
Animal Abundance

scholarly journals Accessing camera trap survey feasibility for estimating Blastocerus dichotomus (Cetartiodactyla, Cervidae) demographic parameters

2017 ◽  
Vol 107 (0) ◽  
Author(s):  
Pedro Henrique F. Peres ◽  
Maxihilian S. Polverini ◽  
Márcio L. Oliveira ◽  
José Maurício B. Duarte
Keyword(s):  
Distance Sampling ◽  
Cost Benefit ◽  
Camera Trap ◽  
Camera Traps ◽  
Biological Information ◽  
Individual Identification ◽  
Conservation Strategies ◽  
Observation Data ◽  
Demographic Information ◽  
Blastocerus Dichotomus

ABSTRACT Demographic information is the basis for evaluating and planning conservation strategies for an endangered species. However, in numerous situations there are methodological or financial limitations to obtain such information for some species. The marsh deer, an endangered Neotropical cervid, is a challenging species to obtain biological information. To help achieve such aims, the study evaluated the applicability of camera traps to obtain demographic information on the marsh deer compared to the traditional aerial census method. Fourteen camera traps were installed for three months on the Capão da Cruz floodplain, in state of São Paulo, and ten helicopter flyovers were made along a 13-kilometer trajectory to detect resident marsh deer. In addition to counting deer, the study aimed to identify the sex, age group and individual identification of the antlered males recorded. Population estimates were performed using the capture-mark-recapture method with the camera trap data and by the distance sampling method for aerial observation data. The costs and field efforts expended for both methodologies were calculated and compared. Twenty independent photographic records and 42 sightings were obtained and generated estimates of 0.98 and 1.06 ind/km², respectively. In contrast to the aerial census, camera traps allowed us to individually identify branch-antlered males, determine the sex ratio and detect fawns in the population. The cost of camera traps was 78% lower but required 20 times more field effort. Our analysis indicates that camera traps present a superior cost-benefit ratio compared to aerial surveys, since they are more informative, cheaper and offer simpler logistics. Their application extends the possibilities of studying a greater number of populations in a long-term monitoring.

scholarly journals Estimating tiger and its prey abundance in Bardia National Park, Nepal

2016 ◽  
Vol 26 (1) ◽  
pp. 60-69
Author(s):  
J. B. Karki ◽  
Y. V. Jhala ◽  
B. Pandav ◽  
S. R. Jnawali ◽  
R. Shrestha ◽  
...  
Keyword(s):  
National Park ◽  
Distance Sampling ◽  
Camera Trap ◽  
Prey Abundance ◽  
Sampling Effort ◽  
Mark Recapture ◽  
Line Transects

We estimated tiger and wild prey abundance in the Bardia National Park of Nepal. Tiger abundance was estimated from camera trap mark recapture in 85 days between December, 2008 to March, 2009 by placing 50 camera trap pairs in 197 trap locations with a sampling effort of 2,944 trap nights. We photo captured 16 individuals (≥1.5 year old) tigers identified on the basis of their unique stripe patterns. The number and density (per 100 km2) of tiger was 19 (SE 3.3) and 1.31 (SE 0.32), respectively. Distance sampling was used to assess the prey abundance on 170 systematically laid line transects between May–June, 2009. The density of all the wild prey (individuals/km2) was 56.3 (SE 6.5). The density (individuals/km2Banko JanakariA Journal of Forestry Information for NepalVol. 26, No. 1, Page:  60-69, 2016

scholarly journals Deriving observation distances for camera trap distance sampling

2022 ◽  
Author(s):  
Annika M. Zuleger ◽  
Ruben Holland ◽  
Hjalmar S. Kühl
Keyword(s):  
Distance Sampling ◽  
Camera Trap

scholarly journals Estimating forest antelope population densities using distance sampling with camera traps

Oryx ◽  
2021 ◽  
pp. 1-7
Author(s):  
Rajan Amin ◽  
Hannah Klair ◽  
Tim Wacher ◽  
Constant Ndjassi ◽  
Andrew Fowler ◽  
...  
Keyword(s):  
Survey Methods ◽  
Distance Sampling ◽  
Common Species ◽  
Camera Trap ◽  
Camera Traps ◽  
Individual Species ◽  
Survey Tool ◽  
Terrestrial Mammals ◽  
Detection Probabilities ◽  
The Status

Abstract Traditional transect survey methods for forest antelopes often underestimate density for common species and do not provide sufficient data for rarer species. The use of camera trapping as a survey tool for medium and large terrestrial mammals has become increasingly common, especially in forest habitats. Here, we applied the distance sampling method to images generated from camera-trap surveys in Dja Faunal Reserve, Cameroon, and used an estimate of the proportion of time animals are active to correct for negative bias in the density estimates from the 24-hour camera-trap survey datasets. We also used multiple covariate distance sampling with body weight as a covariate to estimate detection probabilities and densities of rarer species. These methods provide an effective tool for monitoring the status of individual species or a community of forest antelope species, information urgently needed for conservation planning and action.

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