Evidence map›Paper›PMID 32203247›Full record

ArticleHeredity2020

Individual reproductive success in Norway spruce natural populations depends on growth rate, age and sensitivity to temperature.

Camilla Avanzi, Katrin Heer, Ulf Büntgen, Mariaceleste Labriola, Stefano Leonardi, Lars Opgenoorth, Alma Piermattei, Carlo Urbinati, Giovanni Giuseppe Vendramin, Andrea Piotti

Abstract read
In one paragraph

Article in Heredity, 2020. 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

10 authors.

Camilla AvanziInstitute of Biosciences and Bioresources, National Research Council of Italy, Via Madonna del Piano 10, 50019, Sesto Fiorentino (Firenze), Italy. camilla.avanzi@gmail.com.ORCID 0000-0003-1632-5304
Katrin HeerConservation Biology, University of Marburg, Karl-von-Frisch-Strasse 8, 35043, Marburg, Germany.
Ulf BüntgenDepartment of Geography, University of Cambridge, Downing Place, CB2 3EN, Cambridge, UK.
Mariaceleste LabriolaInstitute of Biosciences and Bioresources, National Research Council of Italy, Via Madonna del Piano 10, 50019, Sesto Fiorentino (Firenze), Italy.
Stefano LeonardiDepartment of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area delle Scienze 11/A, 43124, Parma, Italy.
Lars OpgenoorthSwiss Federal Research Institute, WSL, Zürcherstrasse 111, 8903, Birmensdorf, Switzerland.
Alma PiermatteiDepartment of Geography, University of Cambridge, Downing Place, CB2 3EN, Cambridge, UK.
Carlo UrbinatiDepartment of Agricultural, Food and Environmental Sciences, Marche Polytechnic University, Via Brecce Bianche 10, 60131, Ancona, Italy.
Giovanni Giuseppe VendraminInstitute of Biosciences and Bioresources, National Research Council of Italy, Via Madonna del Piano 10, 50019, Sesto Fiorentino (Firenze), Italy.
Andrea PiottiInstitute of Biosciences and Bioresources, National Research Council of Italy, Via Madonna del Piano 10, 50019, Sesto Fiorentino (Firenze), Italy.ORCID 0000-0002-3324-5325

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantifying the individual reproductive success and understanding its determinants is a central issue in evolutionary research for the major consequences that the transmission of genetic variation from parents to offspring has on the adaptive potential of populations. Here, we propose to distil the myriad of information embedded in tree-ring time series into a set of tree-ring-based phenotypic traits to be investigated as potential drivers of reproductive success in forest trees. By using a cross-disciplinary approach that combines parentage analysis and a thorough dendrophenotypic characterisation of putative parents, we assessed sex-specific relationships between such dendrophenotypic traits (i.e., age, growth rate and parameters describing sensitivity to climate and to extreme climatic events) and reproductive success in Norway spruce. We applied a full probability method for reconstructing parent-offspring relationships between 604 seedlings and 518 adult trees sampled within five populations from southern and central Europe. We found that individual female and male reproductive success was positively associated with tree growth rate and age. Female reproductive success was also positively influenced by the correlation between growth and the mean temperature of the previous vegetative season. Overall, our results showed that Norway spruce individuals with the highest fitness are those who are able to keep high-growth rates despite potential growth limitations caused by reproductive costs and climatic limiting conditions. Identifying such functional links between the individual ecophysiological behaviour and its evolutionary gain would increase our understanding on how natural selection shapes the genetic composition of forest tree populations over time.

Indexed as

PiceaTemperatureEuropeForestsReproduction

Identifiers

PMID32203247
PMCPMC7239854

What OpenQuestion holds

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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.