Evidence map›Paper›PMID 42117344›Full record

ArticleConservation biology : the journal of the Society for Conservation Biology2026

Translocation effects on regional and local population viability and connectivity.

Eva Sánchez Arribas, Aimara Planillo, Joe Premier, Tobias Kürschner, Elisa Belotti, Christine Breitenmoser-Würsten, Luděk Bufka, Rok Černe, Thomas Engleder, Urša Fležar and 16 more

Abstract read
In one paragraph

Article in Conservation biology : the journal of the Society for Conservation Biology, 2026. 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. Translocation effects on regional and local population viability and connectivity.Conservation biology : the journal of the Society for Conservation Biology · 2026
    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

26 authors.

Eva Sánchez ArribasDepartment of Ecological Dynamics, Leibniz Institute for Zoo and Wildlife Research (IZW), Berlin, Germany.ORCID https://orcid.org/0009-0006-4467-448X
Aimara PlanilloDepartment of Ecological Dynamics, Leibniz Institute for Zoo and Wildlife Research (IZW), Berlin, Germany.ORCID https://orcid.org/0000-0001-6763-9923
Joe PremierDepartment of National Park Monitoring and Animal Management, Bavarian Forest National Park, Grafenau, Germany.ORCID https://orcid.org/0000-0003-3225-6038
Tobias KürschnerDepartment of Ecological Dynamics, Leibniz Institute for Zoo and Wildlife Research (IZW), Berlin, Germany.ORCID https://orcid.org/0000-0002-4587-9894
Elisa BelottiDepartment of Research and Nature Protection, Šumava National Park Administration, Kašperské Hory, Czech Republic.ORCID https://orcid.org/0000-0002-6072-003X
Christine Breitenmoser-WürstenFoundation KORA (Carnivore Ecology & Wildlife Management), Ittigen, Switzerland.ORCID https://orcid.org/0000-0002-5228-2957
Luděk BufkaDepartment of Research and Nature Protection, Šumava National Park Administration, Kašperské Hory, Czech Republic.ORCID https://orcid.org/0000-0001-5550-7712
Rok ČerneSlovenia Forest Service, Ljubljana, Slovenia.ORCID https://orcid.org/0000-0003-4111-4066
Thomas EnglederLynx Project Austria Northwest, Haslach an der Mühl, Austria.
Urša FležarSlovenia Forest Service, Ljubljana, Slovenia.ORCID https://orcid.org/0000-0001-5865-948X
Tomislav GomerčićFaculty of Veterinary Medicine, University of Zagreb, Zagreb, Croatia.
Miha KrofelBiotechnical Faculty, University of Ljubljana, Ljubljana, Slovenia.ORCID https://orcid.org/0000-0002-2010-5219
Tereza MinárikováALKA Wildlife, Dačice, Czech Republic.
Paolo MolinariItalian Lynx Project, Tarvisio, Italy.
Simona PolákováFaculty of Environmental Sciences, Czech University of Life Sciences Prague, Praha-Suchdol, Czech Republic.
Kateřina PoledníkováALKA Wildlife, Dačice, Czech Republic.
Hubert PotočnikBiotechnical Faculty, University of Ljubljana, Ljubljana, Slovenia.
Magda SindičićFaculty of Veterinary Medicine, University of Zagreb, Zagreb, Croatia.ORCID https://orcid.org/0000-0002-1391-3648
Ira TopličanecFaculty of Veterinary Medicine, University of Zagreb, Zagreb, Croatia.
Kristina VogtFoundation KORA (Carnivore Ecology & Wildlife Management), Ittigen, Switzerland.ORCID https://orcid.org/0000-0002-8924-1534
Josefa VolfováDepartment of Research and Nature Protection, Šumava National Park Administration, Kašperské Hory, Czech Republic.
Sybille WölflWildLink Institute, Waldmünchen, Germany.
Fridolin ZimmermannFoundation KORA (Carnivore Ecology & Wildlife Management), Ittigen, Switzerland.ORCID https://orcid.org/0000-0003-3861-246X
Marco HeurichDepartment of Conservation Biology and Global Change, Doñana Biological Station, (EBD-CSIC), Seville, Spain.ORCID https://orcid.org/0000-0003-0051-2930
Stephanie Kramer-SchadtDepartment of Ecological Dynamics, Leibniz Institute for Zoo and Wildlife Research (IZW), Berlin, Germany.ORCID https://orcid.org/0000-0002-9269-4446
Anja Molinari-JobinFoundation KORA (Carnivore Ecology & Wildlife Management), Ittigen, Switzerland.ORCID https://orcid.org/0000-0002-3729-2532

Funding

Charity Foundation from LiechtensteinDeutsche Bundesstiftung UmweltDeutsche Forschungsgemeinschaft DFGRTG2118-1Fondation de bienfaisance Jeanne LoviozHunting Inspectorate of the canton BernLIFE Programme LIFE16 NAT/SI/000634MAVA FoundationSlovenian Research Agency (ARRS) J1-50013Slovenian Research Agency (ARRS) P4-0059Stotzer-Kästli StiftungZigerli-Hegi Stiftung
6 · The paper itself

Abstract

Translocations and reintroductions aim to improve the viability of isolated populations and promote connectivity for large carnivores. However, there is no established framework for assessing their success. We used the Eurasian lynx (Lynx lynx) in western and central Europe to assess the impact of translocations on the viability of six populations and their interconnectivity. Lynx populations are small and isolated and have low genetic diversity. Population reinforcements have been carried out, but their impact has not been determined. We devised a workflow to evaluate how releasing new individuals affects population extinction probability and connectivity and patch colonization, and to estimate the minimum release population to create a stepping-stone network. To this end, we calibrated a spatially explicit, individual-based model with space use, survival, and reproductive rates observed in the populations and validated it with field data on population growth and expansion from the 1970s to 2020. We ran the model with the observed population structure in 1995-1996 to 2040 in two scenarios, with and without translocations. In both scenarios, most existing populations remained stable in our model for the next 20 years, but had low connectivity. Lynx translocations positively affected viability and connectivity on a population scale but did not increase connectivity between the eastern and western Alps. To create a stepping-stone population that would significantly improve connectivity across the Alps, we conservatively estimated that at least 13 males and 37 females should be released in the Italian southeastern Alps based on the assumption of negligible immigration rates between patches. Concerted transboundary management to improve the future survival of lynx populations in western and central Europe is still needed.

Indexed as

Conservation of Natural ResourcesLynxAnimalsEuropeModels, BiologicalPopulation DynamicsConservación de carnívoros mayoresEuropaEuropelarge carnivore conservationLynx lynxmetapoblaciónmetapopulationmodelo espacialmente explícito basado en individuospopulation viabilityspatially explicit individual‐based modeltranslocacionestranslocationsviabilidad poblacional

Identifiers

PMID42117344
PMCPMC13392802

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.