Cargando…

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

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 spacin...

Descripción completa

Detalles Bibliográficos
Autores principales: Nawaz, Muhammad Ali, Khan, Barkat Ullah, Mahmood, Amer, Younas, Muhammad, Din, Jaffar ud, Sutherland, Chris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8222225/
https://www.ncbi.nlm.nih.gov/pubmed/34162926
http://dx.doi.org/10.1038/s41598-021-92361-2
_version_ 1783711447736385536
author Nawaz, Muhammad Ali
Khan, Barkat Ullah
Mahmood, Amer
Younas, Muhammad
Din, Jaffar ud
Sutherland, Chris
author_facet Nawaz, Muhammad Ali
Khan, Barkat Ullah
Mahmood, Amer
Younas, Muhammad
Din, Jaffar ud
Sutherland, Chris
author_sort Nawaz, Muhammad Ali
collection PubMed
description 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.
format Online
Article
Text
id pubmed-8222225
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-82222252021-06-24 An empirical demonstration of the effect of study design on density estimations Nawaz, Muhammad Ali Khan, Barkat Ullah Mahmood, Amer Younas, Muhammad Din, Jaffar ud Sutherland, Chris Sci Rep Article 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. Nature Publishing Group UK 2021-06-23 /pmc/articles/PMC8222225/ /pubmed/34162926 http://dx.doi.org/10.1038/s41598-021-92361-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Nawaz, Muhammad Ali
Khan, Barkat Ullah
Mahmood, Amer
Younas, Muhammad
Din, Jaffar ud
Sutherland, Chris
An empirical demonstration of the effect of study design on density estimations
title An empirical demonstration of the effect of study design on density estimations
title_full An empirical demonstration of the effect of study design on density estimations
title_fullStr An empirical demonstration of the effect of study design on density estimations
title_full_unstemmed An empirical demonstration of the effect of study design on density estimations
title_short An empirical demonstration of the effect of study design on density estimations
title_sort empirical demonstration of the effect of study design on density estimations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8222225/
https://www.ncbi.nlm.nih.gov/pubmed/34162926
http://dx.doi.org/10.1038/s41598-021-92361-2
work_keys_str_mv AT nawazmuhammadali anempiricaldemonstrationoftheeffectofstudydesignondensityestimations
AT khanbarkatullah anempiricaldemonstrationoftheeffectofstudydesignondensityestimations
AT mahmoodamer anempiricaldemonstrationoftheeffectofstudydesignondensityestimations
AT younasmuhammad anempiricaldemonstrationoftheeffectofstudydesignondensityestimations
AT dinjaffarud anempiricaldemonstrationoftheeffectofstudydesignondensityestimations
AT sutherlandchris anempiricaldemonstrationoftheeffectofstudydesignondensityestimations
AT nawazmuhammadali empiricaldemonstrationoftheeffectofstudydesignondensityestimations
AT khanbarkatullah empiricaldemonstrationoftheeffectofstudydesignondensityestimations
AT mahmoodamer empiricaldemonstrationoftheeffectofstudydesignondensityestimations
AT younasmuhammad empiricaldemonstrationoftheeffectofstudydesignondensityestimations
AT dinjaffarud empiricaldemonstrationoftheeffectofstudydesignondensityestimations
AT sutherlandchris empiricaldemonstrationoftheeffectofstudydesignondensityestimations