ArticleScientific reports2018
N-mixture models reliably estimate the abundance of small vertebrates.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 100 citations in OpenAlex.
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- The first use of a photogrammetry drone to estimate population abundance and predict age structure of threatened Sumatran elephants.Scientific reports · 2023Article
- Camera Trap Methods and Drone Thermal Surveillance Provide Reliable, Comparable Density Estimates of Large, Free-Ranging Ungulates.Animals : an open access journal from MDPI · 2023Article
- Top predator restricts the niche breadth of prey: effects of assisted colonization of Tasmanian devils on a widespread omnivorous prey.Proceedings. Biological sciences · 2023Article
- Long-Term Seed Dispersal within an Asymmetric Lizard-Plant Interaction.Animals : an open access journal from MDPI · 2023Article
- Monitoring of the Endangered Cave SalamanderAnimals : an open access journal from MDPI · 2023Article
- Inferring predator-prey interactions from camera traps: A Bayesian co-abundance modeling approach.Ecology and evolution · 2022Article
- Gharial (Ecology and evolution · 2022Article
- Comparing N-mixture models and GLMMs for relative abundance estimation in a citizen science dataset.Scientific reports · 2022Article
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- Sharing detection heterogeneity information among species in community models of occupancy and abundance can strengthen inference.Ecology and evolution · 2021Article
- Time-for-space substitution in N-mixture models for estimating population trends: a simulation-based evaluation.Scientific reports · 2021Article
- Status of the largest extant population of the critically endangered Aeolian lizard Podarcis raffonei (Capo Grosso, Vulcano island).PloS one · 2021Article
- The post hoc measurement as a safe and reliable method to age and size plethodontid salamanders.Ecology and evolution · 2020Article
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Authors and funding
17 authors at 7 institutions in 4 countries.
Funding
Abstract
Accurate measures of species abundance are essential to identify conservation strategies. N-mixture models are increasingly used to estimate abundance on the basis of species counts. In this study we tested whether abundance estimates obtained using N-mixture models provide consistent results with more traditional approaches requiring capture (capture-mark recapture and removal sampling). We focused on endemic, threatened species of amphibians and reptiles in Italy, for which accurate abundance data are needed for conservation assessments: the Lanza's Alpine salamander Salamandra lanzai, the Ambrosi's cave salamander Hydromantes ambrosii and the Aeolian wall lizard Podarcis raffonei. In visual counts, detection probability was variable among species, ranging between 0.14 (Alpine salamanders) and 0.60 (cave salamanders). For all the species, abundance estimates obtained using N-mixture models showed limited differences with the ones obtained through capture-mark-recapture or removal sampling. The match was particularly accurate for cave salamanders in sites with limited abundance and for lizards, nevertheless non-incorporating heterogeneity of detection probability increased bias. N-mixture models provide reliable abundance estimates that are comparable with the ones of more traditional approaches, and offer additional advantages such as a smaller sampling effort and no need of manipulating individuals, which in turn reduces the risk of harming animals and spreading diseases.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.