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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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| Gepubliceerd in: | Ann Bot |
|---|---|
| Hoofdauteurs: | , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Oxford University Press
2015
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| Onderwerpen: | |
| 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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