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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 ≥10cm in 573 inventory plots. Linear regression (ordinary least squares, OLS) and random forest (RF) statistical tech...

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Authors


Parmentier, I More by this author
Harrigan, RJ More by this author
Buermann, W More by this author
Mitchard, ETA More by this author
Saatchi, S More by this author
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Journal:
Journal of Biogeography
Volume:
38
Issue:
6
Pages:
1164-1176
Publication date:
2011-06-05
DOI:
EISSN:
1365-2699
ISSN:
0305-0270
URN:
uuid:a6408843-e15b-4681-abb3-0bc01fed83bb
Source identifiers:
149876
Local pid:
pubs:149876

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