Journal article
Predicting alpha diversity of African rain forests: models based on climate and satellite-derived data do not perform better than a purely spatial model
- Abstract:
-
Aim: Our aim was to evaluate the extent to which we can predict and map tree alpha diversity across broad spatial scales either by using climate and remote sensing data or by exploiting spatial autocorrelation patterns.
Location: Tropical rain forest, West Africa and Atlantic Central Africa.
Methods: Alpha diversity estimates were compiled for trees with diameter at breast height ≥ 10 cm in 573 inventory plots. Linear regression (ordinary least squares, OLS) and random forest (...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Authors
Bibliographic Details
- Publisher:
- Wiley-Blackwell Publisher's website
- Journal:
- Journal of Biogeography Journal website
- Volume:
- 38
- Issue:
- 6
- Pages:
- 1164-1176
- Publication date:
- 2011-01-01
- DOI:
- EISSN:
-
1365-2699
Item Description
- Language:
- English
- Keywords:
- Subjects:
- UUID:
-
uuid:f9338c99-2b2c-445d-9559-1b77bc3beac4
- Local pid:
- ora:5783
- Deposit date:
- 2011-10-19
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- Copyright holder:
- Blackwell Publishing Ltd
- Copyright date:
- 2011
- Notes:
- The full-text of this article is not currently available in ORA, but you may be able to access the article via the publisher copy link on this record page.
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