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Modelling and predicting the spatial distribution of tree root density in heterogeneous forest ecosystems

Background and Aims In mountain ecosystems, predicting root density in three dimensions (3-D) is highly challenging due to the spatial heterogeneity of forest communities. This study presents a simple and semi-mechanistic model, named ChaMRoots, that predicts root interception density (RID, number o...

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Bibliografische gegevens
Gepubliceerd in:Ann Bot
Hoofdauteurs: Mao, Zhun, Saint-André, Laurent, Bourrier, Franck, Stokes, Alexia, Cordonnier, Thomas
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Oxford University Press 2015
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Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4512195/
https://ncbi.nlm.nih.gov/pubmed/26173892
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/aob/mcv092
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