GDM - All Plants - Underlying Data: tmintran

LCR / GDM
59
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
41
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 229
Data type Grid
Resolution 100.000m

GDM - Trees and Shrubs - Underlying Data: r2pettran

LCR / GDM
113
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 258
Data type Grid
Resolution 100.000m

GDM - All Plants - Underlying Data: raintran

LCR / GDM
49
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
39
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
50
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 257
Data type Grid
Resolution 100.000m

GDM - All Plants - Underlying Data: gdmytran

LCR / GDM
38
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
40
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
54
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 259
Data type Grid
Resolution 100.000m

GDM - All Plants - Underlying Data: r2pettran

LCR / GDM
52
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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