National-scale estimates of mammal species abundance in Italy for the Habitat Directive reporting

preprint OA: closed CC-BY-NC-4.0
AI-generated deep summary by claude@2026-06, 2026-06-24 · read from full text

The paper describes methodological frameworks developed with ATIt ETS to estimate national-scale abundance of mammal species in Italy for species listed under the European Habitats Directive (Annexes II, IV, and V). It defines species-specific estimation approaches based on the availability and quality of data across Italian regions and produces, by species and biogeographical region (Alpine, Continental, Mediterranean), abundance estimates with 95% confidence intervals, habitat area estimates, and temporal trends where feasible. A key limitation explicitly stated is that this work is a preprint and has not been peer reviewed. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

Read from the paper's body, not the abstract. Not a substitute for reading the paper. No clinical advice. How this works

Abstract

This report describes the methodological frameworks developed in collaboration with ATIt ETS (https://www.mammiferi.org) to estimate the abundance of mammal populations at the scale of Italy for the species listed under Annexes II, IV, and V of the Habitats Directive. For each species, the estimation methodology was defined based on the availability and quality of data supplied by the individual Italian regions. The report provides, for every species and biogeographical region (Alpine, Continental and Mediterranean), population abundance estimates with 95% confidence intervals, estimates of the extent of habitat area, and, where possible, estimates of temporal trends in population abundance.
Full text 1,419 characters · extracted from oa-doi-fallback · click to expand
This is a Preprint and has not been peer reviewed. This is version 2 of this Preprint. You must log in to post a comment. There are no comments or no comments have been made public for this article. This is a Preprint and has not been peer reviewed. This is version 2 of this Preprint. Add a Comment You must log in to post a comment. Comments There are no comments or no comments have been made public for this article. This report describes the methodological frameworks developed in collaboration with ATIt ETS (https://www.mammiferi.org) to estimate the abundance of mammal populations at the scale of Italy for the species listed under Annexes II, IV, and V of the Habitats Directive. For each species, the estimation methodology was defined based on the availability and quality of data supplied by the individual Italian regions. The report provides, for every species and biogeographical region (Alpine, Continental and Mediterranean), population abundance estimates with 95% confidence intervals, estimates of the extent of habitat area, and, where possible, estimates of temporal trends in population abundance. https://doi.org/10.32942/X2V93M Ecology and Evolutionary Biology, Population Biology Mammals, Population Abundance, Habitat Directive, Area of Habitat, Wildlife Abundance Published: 2025-08-08 07:37 Last Updated: 2025-08-08 09:56 CC-BY Attribution-NonCommercial 4.0 International Language: English

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: oa-doi-fallback

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00
unpaywall
last seen: 2026-05-24T02:00:01.246996+00:00
License: CC-BY-NC-4.0