Unifying occupancy-detection and local frequency scaling (Frescalo) models
Pescott, Oliver L. 
ORCID: https://orcid.org/0000-0002-0685-8046.
2026
Unifying occupancy-detection and local frequency scaling (Frescalo) models.
Ecological Modelling, 511, 111367.
4, pp.
10.1016/j.ecolmodel.2025.111367
Preview |
Text
N540419JA.pdf - Published Version Available under License Creative Commons Attribution 4.0. Download (685kB) | Preview |
Abstract/Summary
Frescalo’s “local frequency scaling” and classical occupancy-detection models both seek to recover true species-occurrence signals from imperfect data. In this paper, we show that the two approaches rest on the same underlying detection mathematics. Occupancy models treat each site’s repeat visits as independent detection trials and separately estimate occupancy probability and per-visit detectability. Frescalo, by contrast, pools data across ecologically defined neighbourhoods, standardises for uneven effort, and infers a single discovery rate per species plus a species-specific “time-factor” to capture time trends. The occupancy–detection Bernoulli formulation can be linked directly to Frescalo’s Poisson/discovery framework, where occupancy and detectability combine into one rate parameter (which, when sampling is light, closely matches the product of occupancy and per-visit detectability). This connection clarifies how Frescalo’s neighbourhood-scale and time corrections function as a coarser-scale analogue of repeat-visit models. By casting Frescalo in occupancy modelling terms, we hope to promote further investigation into the adoption of occupancy model diagnostics, extensions and other tests within Frescalo analyses, improving transparency and rigour when working with less-structured biodiversity data.
| Item Type: | Publication - Article |
|---|---|
| Digital Object Identifier (DOI): | 10.1016/j.ecolmodel.2025.111367 |
| UKCEH and CEH Sections/Science Areas: | Biodiversity and Land Use (2025-) |
| ISSN: | 0304-3800 |
| Additional Information: | Open Access paper - full text available via Official URL link. |
| Additional Keywords: | occupancy models, sampling effort, effort correction, citizen science, unstructured data, hill numbers |
| NORA Subject Terms: | Ecology and Environment Mathematics Data and Information |
| Date made live: | 20 Oct 2025 14:55 +0 (UTC) |
| URI: | https://nora.nerc.ac.uk/id/eprint/540419 |
Actions (login required)
 |
View Item |
Document Downloads
Downloads for past 30 days
Downloads per month over past year
Altmetric
Altmetric
