GDM Classification of New Zealand Biotic Composition for All Forest Plants 400 groups
Creator
Landcare Research Manaaki Whenua
Publisher
Landcare Research Manaaki Whenua
Date
2011-06-15
Date
2005-01-01
Description
This layer provides a classification of New Zealand ecosystems according to plant composition. Generalized Dissimilarity Modelling was used to produce a model of biotic composition in relation ship to environment and biogeography. This model was used to transform and scale environmental layers to predict community composition. The transformed environmental layers were then used to classify New Zealand into areas of similar biotic composition. The biotic data used for this model include all vascular plant taxa from NVS recce data and estimated community compositions from pollen data.
Source
Layers used to produce this layer include: N:\Projects\SL0931_TFBISbeyondLENZ\Analysis\FinalResults\AllPlants\TransEnv\aciptran N:\Projects\SL0931_TFBISbeyondLENZ\Analysis\FinalResults\AllPlants\TransEnv\agetran N:\Projects\SL0931_TFBISbeyondLENZ\Analysis\FinalResults\AllPlants\TransEnv\calciumtran N:\Projects\SL0931_TFBISbeyondLENZ\Analysis\FinalResults\AllPlants\TransEnv\discoasttran N:\Projects\SL0931_TFBISbeyondLENZ\Analysis\FinalResults\AllPlants\TransEnv\gdmxtran N:\Projects\SL0931_TFBISbeyondLENZ\Analysis\FinalResults\AllPlants\TransEnv\gdmytran N:\Projects\SL0931_TFBISbeyondLENZ\Analysis\FinalResults\AllPlants\TransEnv\junestran N:\Projects\SL0931_TFBISbeyondLENZ\Analysis\FinalResults\AllPlants\TransEnv\mastran N:\Projects\SL0931_TFBISbeyondLENZ\Analysis\FinalResults\AllPlants\TransEnv\mattran N:\Projects\SL0931_TFBISbeyondLENZ\Analysis\FinalResults\AllPlants\TransEnv\r2pettran N:\Projects\SL0931_TFBISbeyondLENZ\Analysis\FinalResults\AllPlants\TransEnv\raintran N:\Projects\SL0931_TFBISbeyondLENZ\Analysis\FinalResults\AllPlants\TransEnv\slopetran N:\Projects\SL0931_TFBISbeyondLENZ\Analysis\FinalResults\AllPlants\TransEnv\tmintran N:\Projects\SL0931_TFBISbeyondLENZ\Analysis\FinalResults\AllPlants\TransEnv\vpdtran
