مورد إلكتروني
Occupancy data improves parameter precision in spatial capture–recapture models
| العنوان: | Occupancy data improves parameter precision in spatial capture–recapture models |
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| بيانات النشر: | Wiley-VCH 2022 |
| تفاصيل مُضافة: | Organismo Autónomo Parques Nacionales (España) Ministerio de Economía y Competitividad (España) Universidad de Málaga Universidad de Castilla La Mancha Fundação para a Ciência e a Tecnologia (Portugal) Ministério da Ciência, Tecnologia e Ensino Superior (Portugal) Jiménez, José Díaz-Ruiz, Francisco Monterroso, Pedro S. Tobajas, Jorge Ferreras, Pablo |
| نوع الوثيقة: | Electronic Resource |
| مستخلص: | Population size is one of the basic demographic parameters for species management and conservation. Among different estimation methods, spatially explicit capture–recapture (SCR) models allow the estimation of population density in a framework that has been greatly developed in recent years. The use of automated detection devices, such as camera traps, has impressively extended SCR studies for individually identifiable species. However, its application to unmarked/partially marked species remains challenging, and no specific method has been widely used. We fitted an SCR-integrated model (SCR-IM) to stone marten Martes foina data, a species for which only some individuals are individually recognizable by natural marks, and estimate population size based on integration of three submodels: (1) individual capture histories from live capture and transponder tagging; (2) detection/nondetection or “occupancy” data using camera traps in a bigger area to extend the geographic scope of capture–recapture data; and (3) telemetry data from a set of tagged individuals. We estimated a stone marten density of 0.352 (SD: 0.081) individuals/km2. We simulated four dilution scenarios of occupancy data to study the variation in the coefficient of variation in population size estimates. We also used simulations with similar characteristics as the stone marten case study, comparing the accuracy and precision obtained from SCR-IM and SCR, to understand how submodels' integration affects the posterior distributions of estimated parameters. Based on our simulations, we found that population size estimates using SCR-IM are more accurate and precise. In our stone marten case study, the SCR-IM density estimation increased the precision by 37% when compared to the standard SCR model as regards to the coefficient of variation. This model has high potential to be used for species in which individual recognition by natural markings is not possible, therefore limiting the need to rely on invasive sa |
| مصطلحات الفهرس: | Camera traps, Integrated spatial capture–recapture mode, Stone marten, Telemetry, Terrestrial passive integrated transponder, Unmarked species, artículo |
| URL: | Publisher's version Sí info:eu-repo/grantAgreement/MINECO//FJCI-2015-24949/ES/FJCI-2015-24949 |
| الإتاحة: | Open access content. Open access content https://creativecommons.org/licenses/by/4.0 openAccess |
| ملاحظة: | English |
| أرقام أخرى: | CTK oai:digital.csic.es:10261/284003 Ecology and Evolution 12(8): e9250 (2022) 10.1002/ece3.9250 2045-7758 36052294 1356200552 |
| المصدر المساهم: | CSIC From OAIster®, provided by the OCLC Cooperative. |
| رقم الأكسشن: | edsoai.on1356200552 |
| قاعدة البيانات: | OAIster |
| الوصف غير متاح. |