Comparison of methods for estimating density and population trends for low-density Asian bears
Populations of bears in Asia are vulnerable to extinction and effective monitoring is critical to measure and direct conservation efforts. Population abundance (local density) or growth (λ) are the most sensitive metrics to change. We discuss the value in implementing spatially explicit capture-reca...
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| مؤلفون آخرون: | , , , , , , , , , , , |
| التنسيق: | article |
| منشور في: |
2022
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://dx.doi.org/10.1016/j.gecco.2022.e02058 https://www.sciencedirect.com/science/article/pii/S2351989422000609 http://hdl.handle.net/10576/57919 |
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| _version_ | 1857415084415909888 |
|---|---|
| author | Dana J., Morin |
| author2 | Boulanger, John Bischof, Richard Lee, David C. Ngoprasert, Dusit Fuller, Angela K. McLellan, Bruce Steinmetz, Robert Sharma, Sandeep Garshelis, Dave Gopalaswamy, Arjun Nawaz, Muhammad Ali Karanth, Ullas |
| author2_role | author author author author author author author author author author author author |
| author_facet | Dana J., Morin Boulanger, John Bischof, Richard Lee, David C. Ngoprasert, Dusit Fuller, Angela K. McLellan, Bruce Steinmetz, Robert Sharma, Sandeep Garshelis, Dave Gopalaswamy, Arjun Nawaz, Muhammad Ali Karanth, Ullas |
| author_role | author |
| dc.creator.none.fl_str_mv | Dana J., Morin Boulanger, John Bischof, Richard Lee, David C. Ngoprasert, Dusit Fuller, Angela K. McLellan, Bruce Steinmetz, Robert Sharma, Sandeep Garshelis, Dave Gopalaswamy, Arjun Nawaz, Muhammad Ali Karanth, Ullas |
| dc.date.none.fl_str_mv | 2022-06-30 2024-08-25T11:15:48Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://dx.doi.org/10.1016/j.gecco.2022.e02058 Morin, D. J., Boulanger, J., Bischof, R., Lee, D. C., Ngoprasert, D., Fuller, A. K., ... & Karanth, U. (2022). Comparison of methods for estimating density and population trends for low-density Asian bears. Global Ecology and Conservation, 35, e02058. 23519894 https://www.sciencedirect.com/science/article/pii/S2351989422000609 http://hdl.handle.net/10576/57919 35 |
| dc.language.none.fl_str_mv | en |
| dc.publisher.none.fl_str_mv | Elsevier B.V. |
| dc.rights.none.fl_str_mv | http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Abundance estimation Camera trap IUCN Red List criteria Population monitoring Power analysis Spatial capture recapture |
| dc.title.none.fl_str_mv | Comparison of methods for estimating density and population trends for low-density Asian bears |
| dc.type.none.fl_str_mv | Article info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | Populations of bears in Asia are vulnerable to extinction and effective monitoring is critical to measure and direct conservation efforts. Population abundance (local density) or growth (λ) are the most sensitive metrics to change. We discuss the value in implementing spatially explicit capture-recapture (SCR), the current gold standard for density estimation, and open population SCR (OPSCR) to monitor changes in density over time. We provide guidance for designing studies to provide estimates with sufficient power to detect changes. Because of the wide availability of camera traps and interest in their use, we consider six density estimation methods and their extensions developed for use with camera traps, with specific consideration of assumptions and applications for monitoring Asian bears. We conducted a power analysis to calculate the precision in estimates needed to detect changes in populations with reference to IUCN Red List criteria. We performed a systematic review of empirical studies implementing camera trap abundance estimation methods and considered sample sizes, effort, and model assumptions required to achieve adequate precision for population monitoring. We found SCR and OPSCR, reliant on “marked” individuals, are currently the only methods with enough power to reliably detect even moderate to major (20–80%) declines. Camera trap methods with unmarked individuals rarely achieved precision sufficient to detect even large declines (80–90%), although with some exceptions (e.g., situations with moderate population densities, large number of sampling sites, or inclusion of ancillary local telemetry data. We describe additional estimation options including line transects, direct observations, monitoring age-specific survival and reproductive rates, and hybrid/integrated methodologies that may have potential to work for some Asian bear populations. We conclude monitoring changes in abundance or density is possible for most Asian bear populations but will require collaboration among researchers over broad spatial extents and extensive financial investment to overcome biological and logistical constraints. We strongly encourage practitioners to consider study design and sampling effort required to meet objectives by conducting simulations, power analyses, and assumption checks prior to implementing monitoring efforts, and reporting standardized dispersion measures such as coefficients of variation to allow for assessment of precision. Our guidance is relevant to other low-density and wide-ranging species. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | qu_f840ab33b8524dfa0a85afbf9dd289e3 |
| identifier_str_mv | Morin, D. J., Boulanger, J., Bischof, R., Lee, D. C., Ngoprasert, D., Fuller, A. K., ... & Karanth, U. (2022). Comparison of methods for estimating density and population trends for low-density Asian bears. Global Ecology and Conservation, 35, e02058. 23519894 35 |
| language_invalid_str_mv | en |
| network_acronym_str | qu |
| network_name_str | Qatar University repository |
| oai_identifier_str | oai:qspace.qu.edu.qa:10576/57919 |
| publishDate | 2022 |
| publisher.none.fl_str_mv | Elsevier B.V. |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| spelling | Comparison of methods for estimating density and population trends for low-density Asian bearsDana J., MorinBoulanger, JohnBischof, RichardLee, David C.Ngoprasert, DusitFuller, Angela K.McLellan, BruceSteinmetz, RobertSharma, SandeepGarshelis, DaveGopalaswamy, ArjunNawaz, Muhammad AliKaranth, UllasAbundance estimationCamera trapIUCN Red List criteriaPopulation monitoringPower analysisSpatial capture recapturePopulations of bears in Asia are vulnerable to extinction and effective monitoring is critical to measure and direct conservation efforts. Population abundance (local density) or growth (λ) are the most sensitive metrics to change. We discuss the value in implementing spatially explicit capture-recapture (SCR), the current gold standard for density estimation, and open population SCR (OPSCR) to monitor changes in density over time. We provide guidance for designing studies to provide estimates with sufficient power to detect changes. Because of the wide availability of camera traps and interest in their use, we consider six density estimation methods and their extensions developed for use with camera traps, with specific consideration of assumptions and applications for monitoring Asian bears. We conducted a power analysis to calculate the precision in estimates needed to detect changes in populations with reference to IUCN Red List criteria. We performed a systematic review of empirical studies implementing camera trap abundance estimation methods and considered sample sizes, effort, and model assumptions required to achieve adequate precision for population monitoring. We found SCR and OPSCR, reliant on “marked” individuals, are currently the only methods with enough power to reliably detect even moderate to major (20–80%) declines. Camera trap methods with unmarked individuals rarely achieved precision sufficient to detect even large declines (80–90%), although with some exceptions (e.g., situations with moderate population densities, large number of sampling sites, or inclusion of ancillary local telemetry data. We describe additional estimation options including line transects, direct observations, monitoring age-specific survival and reproductive rates, and hybrid/integrated methodologies that may have potential to work for some Asian bear populations. We conclude monitoring changes in abundance or density is possible for most Asian bear populations but will require collaboration among researchers over broad spatial extents and extensive financial investment to overcome biological and logistical constraints. We strongly encourage practitioners to consider study design and sampling effort required to meet objectives by conducting simulations, power analyses, and assumption checks prior to implementing monitoring efforts, and reporting standardized dispersion measures such as coefficients of variation to allow for assessment of precision. Our guidance is relevant to other low-density and wide-ranging species.Elsevier B.V.2024-08-25T11:15:48Z2022-06-30Articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://dx.doi.org/10.1016/j.gecco.2022.e02058Morin, D. J., Boulanger, J., Bischof, R., Lee, D. C., Ngoprasert, D., Fuller, A. K., ... & Karanth, U. (2022). Comparison of methods for estimating density and population trends for low-density Asian bears. Global Ecology and Conservation, 35, e02058.23519894https://www.sciencedirect.com/science/article/pii/S2351989422000609http://hdl.handle.net/10576/5791935enhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:qspace.qu.edu.qa:10576/579192024-08-25T19:04:23Z |
| spellingShingle | Comparison of methods for estimating density and population trends for low-density Asian bears Dana J., Morin Abundance estimation Camera trap IUCN Red List criteria Population monitoring Power analysis Spatial capture recapture |
| status_str | publishedVersion |
| title | Comparison of methods for estimating density and population trends for low-density Asian bears |
| title_full | Comparison of methods for estimating density and population trends for low-density Asian bears |
| title_fullStr | Comparison of methods for estimating density and population trends for low-density Asian bears |
| title_full_unstemmed | Comparison of methods for estimating density and population trends for low-density Asian bears |
| title_short | Comparison of methods for estimating density and population trends for low-density Asian bears |
| title_sort | Comparison of methods for estimating density and population trends for low-density Asian bears |
| topic | Abundance estimation Camera trap IUCN Red List criteria Population monitoring Power analysis Spatial capture recapture |
| url | http://dx.doi.org/10.1016/j.gecco.2022.e02058 https://www.sciencedirect.com/science/article/pii/S2351989422000609 http://hdl.handle.net/10576/57919 |