caa a22 4500 46790295X CHVBK 20180406152824.0 cr unu---uuuuu 170328e20060601xx s 000 0 eng 10.1007/s10661-006-0885-z doi (NATIONALLICENCE)springer-10.1007/s10661-006-0885-z Mapping the Spatial Variability of Plant Diversity in a Tropical Forest: Comparison of Spatial Interpolation Methods [Elektronische Daten] [J. Hernandez-Stefanoni, Raul Ponce-Hernandez] 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. Springer Science + Business Media, Inc., 2006 biodiversity nationallicence co-kriging nationallicence geo-statictics nationallicence kriging nationallicence plant diversity nationallicence remote sensing vegetation indices nationallicence tropical forest nationallicence Hernandez-Stefanoni J. Watershed Ecosystems Graduate Program, Trent University, Peterborough, Ontario, Canada aut Ponce-Hernandez Raul Watershed Ecosystems Graduate Program, Trent University, Peterborough, Ontario, Canada aut Environmental Monitoring and Assessment Kluwer Academic Publishers 117/1-3(2006-06-01), 307-334 0167-6369 117:1-3<307 2006 117 10661 https://doi.org/10.1007/s10661-006-0885-z text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10661-006-0885-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Hernandez-Stefanoni J. Watershed Ecosystems Graduate Program, Trent University, Peterborough, Ontario, Canada aut NATIONALLICENCE 700 1- Ponce-Hernandez Raul Watershed Ecosystems Graduate Program, Trent University, Peterborough, Ontario, Canada aut NATIONALLICENCE 773 0- Environmental Monitoring and Assessment Kluwer Academic Publishers 117/1-3(2006-06-01), 307-334 0167-6369 117:1-3<307 2006 117 10661 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer