Evidence map›Paper›PMID 37926717›Full record

ArticleScientific reports2023

Modelling how negative plant-soil feedbacks across life stages affect the spatial patterning of trees.

Annalisa Iuorio, Maarten B Eppinga, Mara Baudena, Frits Veerman, Max Rietkerk, Francesco Giannino

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In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Annalisa IuorioDepartment of Engineering, Centro Direzionale-Isola C4, Parthenope University of Naples, 80143, Naples, Italy. annalisa.iuorio@univie.ac.at.
Maarten B EppingaDepartment of Geography, University of Zurich, Winterthurerstrasse 190, 8057, Zurich, Switzerland.
Mara BaudenaEnvironmental Sciences Group, Copernicus Institute of Sustainable Development, Utrecht University, 3508 TC, Utrecht, The Netherlands.
Frits VeermanMathematical Institute, Leiden University, Niels Bohrweg 1, 2300 RA, Leiden, The Netherlands.
Max RietkerkEnvironmental Sciences Group, Copernicus Institute of Sustainable Development, Utrecht University, 3508 TC, Utrecht, The Netherlands.
Francesco GianninoDepartment of Agricultural Sciences, University of Naples Federico II, via Università 100, 80055, Portici, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, we theoretically explore how litter decomposition processes and soil-borne pathogens contribute to negative plant-soil feedbacks, in particular in transient and stable spatial organisation of tropical forest trees and seedlings known as Janzen-Connell distributions. By considering soil-borne pathogens and autotoxicity both separately and in combination in a phenomenological model, we can study how both factors may affect transient dynamics and emerging Janzen-Connell distributions. We also identify parameter regimes associated with different long-term behaviours. Moreover, we compare how the strength of negative plant-soil feedbacks was mediated by tree germination and growth strategies, using a combination of analytical approaches and numerical simulations. Our interdisciplinary investigation, motivated by an ecological question, allows us to construct important links between local feedbacks, spatial self-organisation, and community assembly. Our model analyses contribute to understanding the drivers of biodiversity in tropical ecosystems, by disentangling the abilities of two potential mechanisms to generate Janzen-Connell distributions. Furthermore, our theoretical results may help guiding future field data analyses by identifying spatial signatures in adult tree and seedling distribution data that may reflect the presence of particular plant-soil feedback mechanisms.

Indexed as

EcosystemTreesFeedbackForestsPlantsSeedlingsSoilSoil

Identifiers

PMID37926717
PMCPMC10625994

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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.