GDM - All Plants - Underlying Data: tmintran

LCR / GDM
79
12
Added
13 Oct 2011

This dataset was first added to LRIS Portal on 13 Oct 2011.

This layer provides a transformation of environmental layer to best predict plant 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 vascular plant taxa from NVS recce data and estimated community compositions from pollen data.

Layer ID 235
Data type Grid
Resolution 100.000m

GDM - All Plants - Underlying Data: junestran

LCR / GDM
67
12
Added
13 Oct 2011

This dataset was first added to LRIS Portal on 13 Oct 2011.

This layer provides a transformation of environmental layer to best predict plant 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 vascular plant taxa from NVS recce data and estimated community compositions from pollen data.

Layer ID 229
Data type Grid
Resolution 100.000m

GDM - Trees and Shrubs - Underlying Data: r2pettran

LCR / GDM
152
13
Added
13 Oct 2011

This dataset was first added to LRIS Portal on 13 Oct 2011.

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.

Layer ID 258
Data type Grid
Resolution 100.000m

GDM - All Plants - Underlying Data: raintran

LCR / GDM
70
12
Added
13 Oct 2011

This dataset was first added to LRIS Portal on 13 Oct 2011.

This layer provides a transformation of environmental layer to best predict plant 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 vascular plant taxa from NVS recce data and estimated community compositions from pollen data.

Layer ID 233
Data type Grid
Resolution 100.000m

GDM - Trees and Shrubs - Underlying Data: gdmxtran

LCR / GDM
77
11
Added
13 Oct 2011

This dataset was first added to LRIS Portal on 13 Oct 2011.

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.

Layer ID 254
Data type Grid
Resolution 100.000m

GDM - Trees and Shrubs - Underlying Data: mattran

LCR / GDM
75
12
Added
13 Oct 2011

This dataset was first added to LRIS Portal on 13 Oct 2011.

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.

Layer ID 257
Data type Grid
Resolution 100.000m

GDM - All Plants - Underlying Data: gdmytran

LCR / GDM
64
11
Added
13 Oct 2011

This dataset was first added to LRIS Portal on 13 Oct 2011.

This layer provides a transformation of environmental layer to best predict plant 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 vascular plant taxa from NVS recce data and estimated community compositions from pollen data.

Layer ID 228
Data type Grid
Resolution 100.000m

GDM - Trees and Shrubs - Underlying Data: gdmytran

LCR / GDM
66
11
Added
13 Oct 2011

This dataset was first added to LRIS Portal on 13 Oct 2011.

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.

Layer ID 255
Data type Grid
Resolution 100.000m

GDM - Trees and Shrubs - Underlying Data: raintran

LCR / GDM
78
12
Added
13 Oct 2011

This dataset was first added to LRIS Portal on 13 Oct 2011.

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.

Layer ID 259
Data type Grid
Resolution 100.000m

GDM - All Plants - Underlying Data: r2pettran

LCR / GDM
70
11
Added
13 Oct 2011

This dataset was first added to LRIS Portal on 13 Oct 2011.

This layer provides a transformation of environmental layer to best predict plant 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 vascular plant taxa from NVS recce data and estimated community compositions from pollen data.

Layer ID 232
Data type Grid
Resolution 100.000m
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