Abundance-based detectability in a spatially-explicit metapopulation: a case study on a vulnerable beetle species in hollow trees

In many fragmented habitats, the detectability of a population in a habitat patch closely depends on the local abundance of individuals. However, metapopulation studies rarely connect abundance and detectability. We propose a framework for using abundance-based estimates of detectability in the anal...

Full description

Saved in:
Bibliographic Details
Published in:Oecologia 2018-11, Vol.188 (3), p.671-682
Main Authors: Laroche, Fabien, Paltto, Heidi, Ranius, Thomas
Format: Article
Language:English
Subjects:
Abundance
Analysis
Beetles
Biomedical and Life Sciences
Case studies
Colonization
Dynamics
Ecology
Ekologi
Endangered & extinct species
Entrances
Environmental Sciences
Estimates
Extinction
Extinction (Biology)
Frameworks
Habitats
Hydrology/Water Resources
Life Sciences
Metapopulations
METHODS
Missing data
Plant Sciences
Power
Species extinction
Stochasticity
Surveying
Trees
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In many fragmented habitats, the detectability of a population in a habitat patch closely depends on the local abundance of individuals. However, metapopulation studies rarely connect abundance and detectability. We propose a framework for using abundance-based estimates of detectability in the analysis of a spatially-explicit stochastic patch occupancy model (SPOM). We illustrate our approach with the example of Tenebrio opacus, a beetle inhabiting hollows in old trees, and have based it on a 6-year monitoring programme of adult beetles in an area harbouring a high density of old oaks. We validated our abundance-based methodology by showing that the estimates of detectability were positively and significantly correlated with those obtained from presence/absence data (Pearson r=0.54, p
ISSN:0029-8549
1432-1939
1432-1939
DOI:10.1007/s00442-018-4220-5