Methods For Monitoring Tiger And Prey Populations

  title={Methods For Monitoring Tiger And Prey Populations},
  author={K Ullas Karanth and James D. Nichols},
  booktitle={Springer Singapore},

Trends and biases in African large carnivore population assessments: identifying priorities and opportunities from a systematic review of two decades of research

African large carnivores have undergone significant range and population declines over recent decades. Although conservation planning and the management of threatened species requires accurate

How “science” can facilitate the politicization of charismatic megafauna counts

Ideally, the practice of science stays independent, informs policy in real time, and facilitates learning. However, when large uncertainties go unreported or are not effectively communicated, science

Nationwide abundance and distribution of African forest elephants across Gabon using non-invasive SNP genotyping

tale of two islands. The reality of large-scale extinction in the early stages of the Anthropocene: a lack of awareness and appropriate action

  • F. Naggs
  • Environmental Science
    The Journal of Population and Sustainability
  • 2019
The endemic biotas of oceanic islands were vulnerable and many have been lost. The more ancient, complex and dynamic biotas of continents were more resilient but are now being obliterated. Sumatra

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.

How sampling‐based overdispersion reveals India's tiger monitoring orthodoxy

Agencies responsible for recovering populations of iconic mammals may exaggerate population trends without adequate scientific evidence. Recently, such populations were termed as “political



Occupancy estimation and modeling

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.

Generalized Additive Models: An Introduction With R

  • A. Chiang
  • Computer Science, Mathematics
  • 2007
Robinson, R. (2007). Generalized Additive Models: An Introduction With R.(2007).

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.

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).

Generalized Linear Models

This is the Ž rst book on generalized linear models written by authors not mostly associated with the biological sciences, and it is thoroughly enjoyable to read.

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.

Distance: a simple way to fit detection functions to distance sampling data and calculate abundance/density for biological populations

  • R package version
  • 2013

Population structure, density and biomass of large herbivores in south Indian tropical forest

  • MS thesis,
  • 1988

Monitoring tigers and their prey: a manual for researchers

  • 2002