Beyond direct neighbourhood effects: higher-order interactions improve modelling and predicting tree survival and growth.
Zofin Forest Dynamic Plot
density-dependent
indirect interactions
pairwise interactions
size- and distance-dependent
Journal
National science review
ISSN: 2053-714X
Titre abrégé: Natl Sci Rev
Pays: China
ID NLM: 101633095
Informations de publication
Date de publication:
May 2021
May 2021
Historique:
received:
29
03
2020
revised:
03
08
2020
accepted:
11
08
2020
entrez:
25
10
2021
pubmed:
26
10
2021
medline:
26
10
2021
Statut:
epublish
Résumé
It is known that biotic interactions are the key to species coexistence and maintenance of species diversity. Traditional studies focus overwhelmingly on pairwise interactions between organisms, ignoring complex higher-order interactions (HOIs). In this study, we present a novel method of calculating individual-level HOIs for trees, and use this method to test the importance of size- and distance-dependent individual-level HOIs to tree performance in a 25-ha temperate forest dynamic plot. We found that full HOI-inclusive models improved our ability to model and predict the survival and growth of trees, providing empirical evidence that HOIs strongly influence tree performance in this temperate forest. Specifically, assessed HOIs mitigate the competitive direct effects of neighbours on survival and growth of focal trees. Our study lays a foundation for future investigations of the prevalence and relative importance of HOIs in global forests and their impact on species diversity.
Identifiants
pubmed: 34691640
doi: 10.1093/nsr/nwaa244
pii: nwaa244
pmc: PMC8288344
doi:
Types de publication
Journal Article
Langues
eng
Pagination
nwaa244Informations de copyright
© The Author(s) 2020. Published by Oxford University Press on behalf of China Science Publishing & Media Ltd.
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