scholarly journals Sampling plan using grade of infestation to estimate population density.

2003 ◽  
Vol 38 (1) ◽  
pp. 149-156 ◽  
Author(s):  
Kohji Yamamura ◽  
Hisashi Nemoto

1973 ◽  
Vol 105 (3) ◽  
pp. 479-483 ◽  
Author(s):  
J. C. Guppy ◽  
D. G. Harcourt

AbstractA study of sampling variation in the white grubs Phyllophaga fusca Froelick and P. anxia LeConte in a permanent meadow showed that inter-plot differences occurred in 70% of the samples. Block differences were rarely significant. For all stages, the most appropriate sample unit was a 1 ft cube of soil and sod. The number of samples required was inversely proportional to population density; this relationship was graphed for three levels of sampling precision.





Ecosphere ◽  
2018 ◽  
Vol 9 (10) ◽  
pp. e02479 ◽  
Author(s):  
Sean M. Murphy ◽  
Ben C. Augustine ◽  
Jennifer R. Adams ◽  
Lisette P. Waits ◽  
John J. Cox


2018 ◽  
Vol 5 (2) ◽  
pp. 210
Author(s):  
Lusi Andalisa ◽  
Rizaldi Rizaldi ◽  
Jabang Nurdin

Estimation of the plantain squirrel (Callosciurus notatus Boddaert, 1785) population was conducted from Februari to May 2016. This study aimed to estimate population density in the traditional coconut plantation, Nagari Koto Dalam, Padang Pariaman. The population density was estimated using line transect survey method. Population density of the squirrels in Nagari Koto Dalam was 5.5 ind/ha. This study shows that population density of the squirrel comparable to previous studies in West Sumatra.



2011 ◽  
Vol 12 (4) ◽  
pp. 576-577 ◽  
Author(s):  
Nikica Šprem ◽  
Nera FABIJANIĆ ◽  
Ksenija PROTRKA ◽  
Zvjezdana POPOVIĆ ◽  
Ante BULIĆ ◽  
...  


Author(s):  
Peter A. Henderson

Relative sampling methods usually requiring comparatively simple equipment are described. These often concentrate the animals and provide impressive collections. Factors affecting the size of relative samples are reviewed to show that biological interpretation can be difficult. A wide variety of methods for aquatic and terrestrial sampling are reviewed, including pitfall, interception, light, sticky, and flight traps, electric fishing, drift samplers, and gill nets. The use of baited traps, including vertebrate hosts, is discussed. Removal trapping to estimate population density is described, and R software code listed.



Author(s):  
Abishek Harihar ◽  
Dipankar Lahkar ◽  
Aparajita Singh ◽  
Sunit Kumar Das ◽  
M Firoz Ahmed ◽  
...  

AbstractMelanism is a form of pigmentation polymorphism where individuals have darker coloration than what is considered the “wild” phenotype. In the case of leopards, Panthera pardus, melanism occurs at higher frequencies amongst populations in tropical and subtropical moist forests of south and southeast Asia, presenting a unique challenge in estimating and monitoring these populations. Unlike the wild phenotype that are readily recognizable by their rosette patterns, melanism results in individuals being unidentifiable or ‘unmarked’ through photographic captures obtained using white flash cameras. Spatial mark-resight (SMR) models that require only a subset of the population to be ‘marked’ offer the opportunity to estimate population density. In this study, we present an application of SMR models to estimate leopard densities using camera trap survey data from three sampling sessions at Manas National Park (MNP), India. By using an SMR model that allowed us to include captures of unidentified sightings of marked individuals, we were also able to incorporate captures where identity was either not confirmed or only known from a single flank. Following 18,674 trap-days of sampling across three sessions, we obtained 728 leopard photo-captures, of which 22.6% (165) were melanistic. We estimated leopard densities of 4.33, 2.61and 3.37 individuals/100km2 across the three sessions. To our best knowledge, these represent the first known estimates of leopard densities from such populations. Finally, we highlight that SMR models present an opportunity to revisit past camera trap survey data for leopards and other species that exhibit phenotypic polymorphism towards generating valuable information on populations.



1999 ◽  
Vol 34 (4) ◽  
pp. 537-546 ◽  
Author(s):  
Kijong Cho ◽  
Sang-Hoon Kang ◽  
Ki-Baik Uhm


Sign in / Sign up

Export Citation Format

Share Document