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:
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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 ≥10cm in 573 inventory plots. Linear regression (ordinary least squares, OLS) and random forest (RF) statistical tech...
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- Publisher copy:
- 10.1111/j.1365-2699.2010.02467.x
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Bibliographic Details
- Journal:
- Journal of Biogeography
- Volume:
- 38
- Issue:
- 6
- Pages:
- 1164-1176
- Publication date:
- 2011-06-01
- DOI:
- EISSN:
-
1365-2699
- ISSN:
-
0305-0270
- Source identifiers:
-
149876
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
pubs:149876
- UUID:
-
uuid:a6408843-e15b-4681-abb3-0bc01fed83bb
- Local pid:
- pubs:149876
- Deposit date:
- 2012-12-19
Terms of use
- Copyright date:
- 2011
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