Evidence map›Paper›PMID 39744783›Full record

ArticleGlobal change biology2025

A Pollen-Based Assisted Migration for Rapid Forest Adaptation.

David Chludil, Jaroslav Čepl, Arne Steffenrem, Jan Stejskal, Christi Sagariya, Torsten Pook, Silvio Schueler, Jiří Korecký, Curt Almqvist, Debojyoti Chakraborty and 2 more

Abstract read
In one paragraph

Article in Global change biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

David ChludilFaculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Prague, Czech Republic.ORCID 0009-0001-3469-6494
Jaroslav ČeplFaculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Prague, Czech Republic.ORCID 0000-0002-2057-3442
Arne SteffenremDivision of Forest and Forest Resources, Norwegian Institute of Bioeconomy Research (NIBIO), Ås, Norway.ORCID 0000-0001-7116-9151
Jan StejskalFaculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Prague, Czech Republic.ORCID 0000-0001-9965-5477
Christi SagariyaFaculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Prague, Czech Republic.ORCID 0009-0002-8049-4903
Torsten PookAnimal Breeding and Genomics, Wageningen University & Research, Wageningen, The Netherlands.ORCID 0000-0001-7874-8500
Silvio SchuelerDepartment of Forest Growth, Silviculture and Genetics, Austrian Research Centre for Forests (BFW), Vienna, Austria.ORCID 0000-0003-0155-5692
Jiří KoreckýFaculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Prague, Czech Republic.ORCID 0000-0001-7859-1750
Curt AlmqvistForestry Research Institute of Sweden (Skogforsk), Uppsala Science Park, Uppsala, Sweden.
Debojyoti ChakrabortyDepartment of Forest Growth, Silviculture and Genetics, Austrian Research Centre for Forests (BFW), Vienna, Austria.ORCID 0000-0002-7128-2688
Mats BerlinForestry Research Institute of Sweden (Skogforsk), Uppsala Science Park, Uppsala, Sweden.ORCID 0000-0002-7099-3322
Milan LstibůrekFaculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Prague, Czech Republic.ORCID 0000-0002-6304-6669

Funding

EEA/Norway Grants 2014-2021 and the Technological Agency of the Czech Republic TO01000243
6 · The paper itself

Abstract

Climate change poses an unprecedented threat to forest ecosystems, necessitating innovative adaptation strategies. Traditional assisted migration approaches, while promising, face challenges related to environmental constraints, forestry practices, phytosanitary risks, economic barriers, and legal constraints. This has sparked debate within the scientific community, with some advocating for the broader implementation of assisted migration despite these limitations, while others emphasize the importance of local adaptation, which may not keep pace with the rapid rate of climate change. This opinion paper proposes a novel pollen-based assisted migration strategy as a potential middle ground in this debate. By leveraging existing seed orchard infrastructure for controlled pollen transfer, this approach aims to enhance forest resilience through the introduction of genetic material from climatically suitable sources while acknowledging local adaptation. We assess the genetic implications of the proposed strategy through computer simulation. Additionally, we examine the ecological implications of assisted gene flow, discussing the potential benefits of heterosis and the risks of outbreeding depression in intra-specific hybrid populations. We further explore the advantages of pollen-based migration in mitigating phytosanitary risks, reducing economic barriers, and simplifying legal considerations compared to traditional seed or seedling transfer methods. Regional perspectives on adapting pollen-based assisted migration are provided, with specific examples from Northern and Central Europe. We highlight how this approach could be integrated into existing forestry practices and regulatory frameworks within the European Union. We conclude by advocating for the inclusion of pollen-based assisted migration in future international projects and operational forestry, emphasizing the need for adaptable policies that can support innovative forest management strategies in the face of climate change.

Indexed as

Climate ChangeForestryForestsPollenAdaptation, PhysiologicalConservation of Natural ResourcesEuropeGene Flowforest nurseriesforestry policygene flowgenetic diversityheterosisnatural selectionphytosanitary risksseed orchards

Identifiers

PMID39744783
PMCPMC11694094

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.