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http://hdl.handle.net/1942/41941
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DC Field | Value | Language |
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dc.contributor.author | BOLLEN, Martijn | - |
dc.contributor.author | Jim, Casaer | - |
dc.contributor.author | BEENAERTS, Natalie | - |
dc.contributor.author | NEYENS, Thomas | - |
dc.date.accessioned | 2023-12-15T09:57:56Z | - |
dc.date.available | 2023-12-15T09:57:56Z | - |
dc.date.issued | 2023 | - |
dc.date.submitted | 2023-12-15T09:37:11Z | - |
dc.identifier.citation | Scientific Reports, 13 (1) (Art N° 16169) | - |
dc.identifier.uri | http://hdl.handle.net/1942/41941 | - |
dc.description.abstract | Knowledge on animal abundances is essential in ecology, but is complicated by low detectability of many species. This has led to a widespread use of hierarchical models (HMs) for species abundance, which are also commonly applied in the context of nature areas studied by camera traps (CTs). However, the best choice among these models is unclear, particularly based on how they perform in the face of complicating features of realistic populations, including: movements relative to sites, multiple detections of unmarked individuals within a single survey, and low detectability. We conducted a simulation-based comparison of three HMs (Royle-Nichols, binomial N-mixture and Poisson N-mixture model) by generating groups of unmarked individuals moving according to a bivariate Ornstein-Uhlenbeck process, monitored by CTs. Under a range of simulated scenarios, none of the HMs consistently yielded accurate abundances. Yet, the Poisson N-mixture model performed well when animals did move across sites, despite accidental double counting of individuals. Absolute abundances were better captured by Royle-Nichols and Poisson N-mixture models, while a binomial N-mixture model better estimated the actual number of individuals that used a site. The best performance of all HMs was observed when estimating relative trends in abundance, which were captured with similar accuracy across these models. | - |
dc.description.sponsorship | MB is a PhD fellow funded by a BOF mandate at Hasselt University. TN gratefully acknowledges the Research Foundation – Flanders [Grant Number G0A4121N] and by the Internal Funds KU Leuven [project number 3M190682]. Te resources and services used in this work were provided by the VSC (Flemish Supercomputer Center), funded by the Research Foundation—Flanders (FWO) and the Flemish Government. We would like to express our gratitude towards Marc Kéry for his feedback on an early draf of our work. Furthermore, we are grateful for the valuable comments of two anonymous reviewers. Together, their feedback has improved the clarity and quality of the paper | - |
dc.language.iso | en | - |
dc.publisher | NATURE PORTFOLIO | - |
dc.rights | The Author(s) 2023. Open Access Tis 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/. | - |
dc.subject.other | Humans | - |
dc.subject.other | Animals | - |
dc.subject.other | Computer Simulation | - |
dc.subject.other | Ecology | - |
dc.subject.other | Knowledge | - |
dc.subject.other | Models, Statistical | - |
dc.subject.other | CD40 Ligand | - |
dc.title | Simulation-based assessment of the performance of hierarchical abundance estimators for camera trap surveys of unmarked species | - |
dc.type | Journal Contribution | - |
dc.identifier.issue | 1 | - |
dc.identifier.volume | 13 | - |
local.format.pages | 13 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | Martijn, B (corresponding author), UHasselt, Ctr Environm Sci, Diepenbeek, Belgium.; Martijn, B (corresponding author), Res Inst Nat & Forest, Brussels, Belgium.; Martijn, B (corresponding author), UHasselt, Data Sci Inst, Diepenbeek, Belgium. | - |
dc.description.notes | martijn.bollen@uhasselt.be | - |
local.publisher.place | HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
local.bibliographicCitation.artnr | 16169 | - |
dc.identifier.doi | 10.1038/s41598-023-43184-w | - |
dc.identifier.pmid | 37758779 | - |
dc.identifier.isi | 001099946000010 | - |
local.provider.type | wosris | - |
local.description.affiliation | [Martijn, Bollen; Natalie, Beenaerts] UHasselt, Ctr Environm Sci, Diepenbeek, Belgium. | - |
local.description.affiliation | [Martijn, Bollen; Jim, Casaer] Res Inst Nat & Forest, Brussels, Belgium. | - |
local.description.affiliation | [Martijn, Bollen; Thomas, Neyens] UHasselt, Data Sci Inst, Diepenbeek, Belgium. | - |
local.description.affiliation | [Thomas, Neyens] Katholieke Univ Leuven, Leuven Biostat & Stat Bioinformat Ctr, Leuven, Belgium. | - |
local.uhasselt.international | no | - |
item.fullcitation | BOLLEN, Martijn; Jim, Casaer; BEENAERTS, Natalie & NEYENS, Thomas (2023) Simulation-based assessment of the performance of hierarchical abundance estimators for camera trap surveys of unmarked species. In: Scientific Reports, 13 (1) (Art N° 16169). | - |
item.accessRights | Open Access | - |
item.fulltext | With Fulltext | - |
item.contributor | BOLLEN, Martijn | - |
item.contributor | Jim, Casaer | - |
item.contributor | BEENAERTS, Natalie | - |
item.contributor | NEYENS, Thomas | - |
crisitem.journal.issn | 2045-2322 | - |
crisitem.journal.eissn | 2045-2322 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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Simulation-based assessment of the performance of hierarchical abundance estimators for camera trap surveys of unmarked species.pdf | Published version | 3.99 MB | Adobe PDF | View/Open |
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