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Mapping the Spatial Variability of Plant Diversity in a Tropical Forest: Comparison of Spatial Interpolation Methods 总被引:4,自引:0,他引:4
Hernandez-Stefanoni JL Ponce-Hernandez R 《Environmental monitoring and assessment》2006,117(1-3):307-334
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. 相似文献
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dentification of groups that are similar in their floristic composition and structure (habitat types) is essential for conservation
and forest managers to allocate high priority areas and to designate areas for reserves, refuges, and other protected areas.
In this study, the use of indigenous knowledge for the identification of habitat types in the field was compared against an
ecological characterization of habitat types, including their species composition obtained by using classification and ordination
techniques for a tropical landscape mosaic in a rural Mayan area of Quintana Roo, Mexico. Plant diversity data calculated
from 141 sampled sites chosen randomly on a vegetation class’s thematic map obtained by multispectral satellite image classification
were used for this propose. Results indicated high similarity in the categorization of vegetation types between the Mayan
classification and those obtained by cluster and detrended correspondence analysis. This suggests that indigenous knowledge
has a practical use and can be comparable to that obtained by using science-based methods. Finally, identification and mapping
of vegetation classes (habitat types) using satellite image classification allowed us to discriminate significantly different
species compositions, in such a way that they can provide a useful mechanism for interpolating diversity values over the entire
landscape. 相似文献
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