Evidence map›Paper›PMID 41357544›Full record

ArticleBiodiversity data journal2025

Rodent species composition in urban and forested areas in eastern Germany.

Jasmin Firozpoor, Riccardo Gardini, Mario E Escobar Huezo, Jana A Eccard

Abstract read
In one paragraph

Article in Biodiversity data journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jasmin FirozpoorUniversity of Potsdam, Animal Ecology, Potsdam, Germany University of Potsdam, Animal Ecology Potsdam Germany.ORCID https://orcid.org/0000-0002-5758-8955
Riccardo GardiniUniversity of Modena and Reggio Emilia, Department of Life Sciences, Modena, Italy University of Modena and Reggio Emilia, Department of Life Sciences Modena Italy.
Mario E Escobar HuezoUniversity of Potsdam, Animal Ecology, Potsdam, Germany University of Potsdam, Animal Ecology Potsdam Germany.
Jana A EccardUniversity of Potsdam, Animal Ecology, Potsdam, Germany University of Potsdam, Animal Ecology Potsdam Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Zoonoses are major concerns for public health and after the recent pandemic, have been under a global spotlight for their often unpredictable spread and rapid evolution. In particular, the relationship between wildlife biodiversity and zoonoses lies at the core of the challenges of disease dynamics in a changing world. To address the challenge of rodent-borne diseases, transmitted by rodents acting as hosts for various zoonoses and thriving in different environments, we focus on rodent species composition in European temperate forests and urban parks, where human-wildlife interactions are likely to occur. Using live-trapping, we describe rodent communities for integration into an eco-health framework. New information: The dataset introduced here is part of the European project BiodivERsA-BioRodDis (https://www6.inrae.fr/biodiversa-bioroddis), whose goal is to examine the connection between rodent biodiversity, the dynamics of rodent-borne diseases and temporal variations in a changing climate. We provide records of small mammals (Rodentia) captured from forested habitats, with different levels of urbanisation in northeast Germany, within the district of Potsdam (Brandenburg). The trapping took place between winter 2020 and spring 2022 at four different sites. All four sites were sampled in winter 2020, three were revisited in spring 2021 and two in autumn 2021 and spring 2022. This variation was mainly due to logistical constraints and low trapping success at some sites. Using live traps, we collected a total of 620 occurrence records of rodents, including the species

Indexed as

biodiversityoccurrencerodentiasmall mammalsurban green areaswoodlandzoonoses

Identifiers

PMID41357544
PMCPMC12676130

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.