Document Detail

Mapping the spatial variability of plant diversity in a tropical forest: comparison of spatial interpolation methods.
MedLine Citation:
PMID:  16917715     Owner:  NLM     Status:  MEDLINE    
Knowledge of the spatial distribution of plant species is essential to conservation and forest managers in order to identify high priority areas such as vulnerable species and habitats, and designate areas for reserves, refuges and other protected areas. A reliable map of the diversity of plant species over the landscape is an invaluable tool for such purposes. In this study, the number of species, the exponent Shannon and the reciprocal Simpson indices, calculated from 141 quadrat sites sampled in a tropical forest were used to compare the performance of several spatial interpolation techniques used to prepare a map of plant diversity, starting from sample (point) data over the landscape. Means of mapped classes, inverse distance functions, kriging and co-kriging, both, applied over the entire studied landscape and also applied within vegetation classes, were the procedures compared. Significant differences in plant diversity indices between classes demonstrated the usefulness of boundaries between vegetation types, mapped through satellite image classification, in stratifying the variability of plant diversity over the landscape. These mapped classes, improved the accuracy of the interpolation methods when they were used as prior information for stratification of the area. Spatial interpolation by co-kriging performed among the poorest interpolators due to the poor correlation between the plant diversity variables and vegetation indices computed by remote sensing and used as covariables. This indicated that the latter are not suitable covariates of plant diversity indices. Finally, a within-class kriging interpolator yielded the most accurate estimates of plant diversity values. This interpolator not only provided the most accurate estimates by accounting for the indices' intra-class variability, but also provided additional useful interpretations of the structure of spatial variability of diversity values through the interpretation of their semi-variograms. This additional role was found very useful in aiding decisions in conservation planning.
J Luis Hernandez-Stefanoni; Raul Ponce-Hernandez
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Publication Detail:
Type:  Comparative Study; Journal Article    
Journal Detail:
Title:  Environmental monitoring and assessment     Volume:  117     ISSN:  0167-6369     ISO Abbreviation:  Environ Monit Assess     Publication Date:  2006 Jun 
Date Detail:
Created Date:  2006-08-18     Completed Date:  2007-02-13     Revised Date:  2009-05-11    
Medline Journal Info:
Nlm Unique ID:  8508350     Medline TA:  Environ Monit Assess     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  307-34     Citation Subset:  IM    
Watershed Ecosystems Graduate Program, Trent University, Peterborough, Ontario, Canada.
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MeSH Terms
Models, Theoretical
Species Specificity
Tropical Climate*

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