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Modelling the effects of litter decomposition on tree diversity patterns

Mazzoleni, Stefano
•
Bonanomi, Giuliano
•
Giannino, Francesco
altro
INCERTI, Guido
2010
  • journal article

Periodico
ECOLOGICAL MODELLING
Abstract
Current theories may not fully explain why latitudinal patterns of plant diversity differ between terrestrial and flooded ecosystems. Moreover, the co-occurrence of hyper diverse stands in lowland tierra firma (not inundated) forests and almost monospecific stands in mangroves and gallery riparian vegetation within the tropics remains enigmatic. Building on evidence from ecology and agriculture, we present a new model investigating the hypothesis that, besides the general positive feedback of plant growth by nutrients release, litter decomposition builds up an intra-specific negative feedback functionally linked with tree diversity. The model results were compared with extensive published data sets both across and within latitudinal zones. The model predicts correctly the biomass production and decomposition process, as well as the number of tree species, their relative abundance in all environmental conditions providing a novel, putative explanation also for the diversity variations observed within the tropics. The model demonstrates a possible mechanistic link between the carbon cycle and biodiversity patterns, which is interesting in the debate about advancing in the direction of a unifying ecosystem theory.
DOI
10.1016/j.ecolmodel.2010.08.007
WOS
WOS:000283980500007
Archivio
http://hdl.handle.net/11390/1104341
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-77957307369
http://www.sciencedirect.com/science/article/pii/S0304380010004023
Diritti
metadata only access
Soggetti
  • Diversity gradient

  • Latitudinal gradient

  • Litter phytotoxicity

  • Soilborne pathogen

  • Species richne

  • Tropical forest

  • Ecological Modeling

Scopus© citazioni
24
Data di acquisizione
Jun 2, 2022
Vedi dettagli
Web of Science© citazioni
31
Data di acquisizione
Mar 23, 2024
Visualizzazioni
4
Data di acquisizione
Apr 19, 2024
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