Literature DB >> 34162926

An empirical demonstration of the effect of study design on density estimations.

Muhammad Ali Nawaz1, Barkat Ullah Khan2,3, Amer Mahmood2, Muhammad Younas3, Jaffar Ud Din3,4, Chris Sutherland5,6.   

Abstract

The simultaneous development of technology (e.g. camera traps) and statistical methods, particularly spatially capture-recapture (SCR), has improved monitoring of large mammals in recent years. SCR estimates are known to be sensitive to sampling design, yet existing recommendations about trap spacing and coverage are often not achieved, particularly for sampling wide-ranging and rare species in landscapes that allow for limited accessibility. Consequently, most camera trap studies on large wide-ranging carnivores relies on convenience or judgmental sampling, and often yields compromised results. This study attempts to highlight the importance of carefully considered sampling design for large carnivores that, because of low densities and elusive behavior, are challenging to monitor. As a motivating example, we use two years of snow leopard camera trapping data from the same areas in the high mountains of Pakistan but with vastly different camera configurations, to demonstrate that estimates of density and space use are indeed sensitive to the trapping array. A compact design, one in which cameras were placed much closer together than generally recommended and therefore have lower spatial coverage, resulted in fewer individuals observed, but more recaptures, and estimates of density and space use were inconsistent with expectations for the region. In contrast, a diffuse design, one with larger spacing and spatial coverage and more consistent with general recommendations, detected more individuals, had fewer recaptures, but generated estimates of density and space use that were in line with expectations. Researchers often opt for compact camera configurations while monitoring wide-ranging and rare species, in an attempt to maximize the encounter probabilities. We empirically demonstrate the potential for biases when sampling a small area approximately the size of a single home range-this arises from exposing fewer individuals than deemed sufficient for estimation. The smaller trapping array may also underestimate density by significantly inflating [Formula: see text]. On the other hand, larger trapping array with fewer detectors and poor design induces uncertainties in the estimates. We conclude that existing design recommendations have limited utility on practical grounds for devising feasible sampling designs for large ranging species, and more research on SCR designs is required that allows for integrating biological and habitat traits of large carnivores in sampling framework. We also suggest that caution should be exercised when there is a reliance on convenience sampling.

Entities:  

Year:  2021        PMID: 34162926     DOI: 10.1038/s41598-021-92361-2

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  6 in total

1.  The snow leopard's questionable comeback.

Authors:  S B Ale; C Mishra
Journal:  Science       Date:  2018-03-08       Impact factor: 47.728

2.  Distance software: design and analysis of distance sampling surveys for estimating population size.

Authors:  Len Thomas; Stephen T Buckland; Eric A Rexstad; Jeff L Laake; Samantha Strindberg; Sharon L Hedley; Jon Rb Bishop; Tiago A Marques; Kenneth P Burnham
Journal:  J Appl Ecol       Date:  2010-02       Impact factor: 6.528

3.  Multiple observation processes in spatial capture-recapture models: How much do we gain?

Authors:  Mahdieh Tourani; Pierre Dupont; Muhammad Ali Nawaz; Richard Bischof
Journal:  Ecology       Date:  2020-04-06       Impact factor: 5.499

4.  Trap configuration and spacing influences parameter estimates in spatial capture-recapture models.

Authors:  Catherine C Sun; Angela K Fuller; J Andrew Royle
Journal:  PLoS One       Date:  2014-02-05       Impact factor: 3.240

5.  Human population density and extinction risk in the world's carnivores.

Authors:  Marcel Cardillo; Andy Purvis; Wes Sechrest; John L Gittleman; Jon Bielby; Georgina M Mace
Journal:  PLoS Biol       Date:  2004-07-13       Impact factor: 8.029

6.  Vigorous dynamics underlie a stable population of the endangered snow leopard Panthera uncia in Tost Mountains, South Gobi, Mongolia.

Authors:  Koustubh Sharma; Rana Bayrakcismith; Lkhagvasumberel Tumursukh; Orjan Johansson; Purevsuren Sevger; Tom McCarthy; Charudutt Mishra
Journal:  PLoS One       Date:  2014-07-09       Impact factor: 3.240

  6 in total

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