Methods For Monitoring Tiger And Prey Populations

  title={Methods For Monitoring Tiger And Prey Populations},
  author={K. U. Karanth and J. Nichols},
  booktitle={Springer Singapore},
Estimating the density of a globally important tiger (Panthera tigris) population: Using simulations to evaluate survey design in Eastern Thailand
Abstract Spatially explicit capture-recapture analysis is widely utilized for estimating densities of tigers (Panthera tigris). However, developing a robust study design capable of meetingExpand
Avoiding misleading messages: Population assessment using camera trapping is not a simple task.
This article critiques the paper by Campos-Candela et al. 2018 and highlights issues that could lead to inappropriate management and conservation policies. Expand
Bayesian model selection for spatial capture–recapture models
It is found that when information content is low in the data, no particular model selection tool can be recommended to help realize, simultaneously, both the goals of model selection and parameter estimation. Expand
How Sampling-Based Overdispersion Undermines India’s Tiger Monitoring Orthodoxy
It is shown that the predictions of tiger abundance using sign-based indices reported in the 2014 survey in fact vary greatly and can be severely misleading and confirming the presence of high sampling-based overdispersion and parameter covariance. Expand
Human faecal collection methods demonstrate a bias in microbiome composition by cell wall structure
This study investigated the Stool Nucleic Acid Collection and Preservation Tube for the preservation of both microbial DNA and microbial organic acid metabolites in human faecal samples when compared to frozen samples and revealed significantly different bacterial genera. Expand
Managing human-tiger conflict: lessons from Bardia and Chitwan National Parks, Nepal
Successful conservation outcomes for the tiger (Panthera tigris) have been achieved in Nepalese protected areas. However, an unwelcome consequence of greater tiger numbers is the increased prevalenceExpand
Bayesian Model Selection for a Class of Spatially-Explicit Capture Recapture Models
A vast amount of ecological knowledge generated recently has hinged upon the ability of model selection methods to discriminate among various ecological hypotheses. The last decade has seen the riseExpand


Distance: a simple way to fit detection functions to distance sampling data and calculate abundance/density for biological populations
  • R package version
  • 2013
Occupancy estimation and modeling
Occupancy estimation and modeling , Occupancy estimation and modeling , کتابخانه دیجیتال جندی شاپور اهواز
Spatial models for distance sampling data: recent developments and future directions
This work considers spatial modelling techniques that may be advantageous to applied ecologists such as quantification of uncertainty in a two-stage model and smoothing in areas with complex boundaries and considers a popular approach based on generalized additive models. Expand
Using hidden Markov models to deal with availability bias on line transect surveys.
Estimators for line transect surveys of animals that are stochastically unavailable for detection while within detection range are developed and shown to be more general and more flexible than existing estimators based on parametric models of the availability process. Expand
Accommodating unmodeled heterogeneity in double-observer distance sampling surveys.
A mark-recapture-based model is developed that uses the observed distribution to relax the assumption of zero correlation between detection probabilities implicit in the mark-Recapture model and demonstrates its usefulness in coping with unmodeled heterogeneity using data from an aerial survey of crabeater seals in the Antarctic. Expand
Generalized Additive Models: An Introduction with R
LINEAR MODELS A simple linear model Linear models in general The theory of linear models The geometry of linear modelling Practical linear models Practical modelling with factors General linear modelExpand
N-mixture models for estimating population size from spatially replicated counts.
A class of models (N-mixture models) which allow for estimation of population size from site-specific population sizes, N, as independent random variables distributed according to some mixing distribution (e.g., Poisson). Expand
Adaptive line transect sampling.
This work develops an adaptive line transect methodology that, by varying the degree of adaptation, allows total effort to be fixed at the design stage and provides better survey coverage in the event of disruption in survey effort, e.g., due to poor weather. Expand
Monitoring tigers and their prey: a manual for researchers
  • 2002
Population structure, density and biomass of large herbivores in south Indian tropical forest
  • MS thesis,
  • 1988