GDM - Trees and Shrubs - Underlying Data: agetran

This layer provides a transformation of environmental layer to best predict tree and shrub compositional turnover. Generalized Dissimilarity Modelling was used to produce a model of biotic composition in relationship to environment and biogeography. This model was used to transform and scale environmental layers to predict community composition. These transformed environmental layers can be used to predict commmunity composition changes, and to classify New Zealand into areas of similar biotic composition. The biotic data used for this model include all non-fern tree and shrub taxa from NVS recce data and estimated community compositions from pollen data.

Data and Resources

Additional Info

Field Value
Theme
Author Landcare Research
Maintainer Landcare Research
Maintainer Email Landcare Research
Source https://lris.scinfo.org.nz/layer/48251-gdm-trees-and-shrubs-underlying-data-agetran/
Source Created 2011-10-07T02:01:35.583886Z
Source Modified 2020-06-12T06:18:43.320957Z
Language English
Spatial {"type": "MultiPolygon", "coordinates": [[[[166.1221251745532, -47.31371296266449], [166.1221251745532, -33.9577787508771], [179.60194984406252, -33.9577787508771], [179.60194984406252, -47.31371296266449], [166.1221251745532, -47.31371296266449]]]]}
Source Identifier https://lris.scinfo.org.nz/layer/48251-gdm-trees-and-shrubs-underlying-data-agetran/
Dataset metadata created 3 May 2018, last updated 10 September 2022