Basic Ecosystems

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Creative Commons Attribution-Noncommercial-No Derivative Works 3.0

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4999
380
Added
01 May 2018

This dataset was first added to LRIS Portal on 01 May 2018.

This layer was derived from three existing data layers: the Land Cover Database 2 (LCDB2) (MfE 2002); the Land Use Map (LUM) from the Land Use Carbon Analysis System (MfE 2008; Dymond et al. 2012); and EcoSat Forests (Shepherd et al. 2002). Indigenous forest classes from EcoSat Forests were combined with classes from LCDB2 to form basic ecosystems classes. Where indigenous forest was mapped by LCDB2, the type of forest was determined from the EcoSat Forests layer. The eight forest types of EcoSat Forests were reduced to three basic types: beech forest; podocarp-broadleaved forest; and mixed beech and podocarp-broadleaved forest. To produce a recent 2008 layer the LUM was used to update indigenous and exotic forest changes since 2002. The mapping was performed using 15 m pixels, which is equivalent to a mapping scale of approximately 1:50 000.

Layer ID 95415
Data type Image/Raster
Resolution 25.000m
Services Catalog Service (CS-W), data.govt.nz Atom Feed

GDM - All Plants - Underlying Data: acidptran

2075
21
Added
07 Oct 2011

This dataset was first added to LRIS Portal on 07 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 48227
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

GDM - All Plants - Underlying Data: gdmytran

2319
12
Added
07 Oct 2011

This dataset was first added to LRIS Portal on 07 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 48228
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

GDM - All Plants - Underlying Data: junestran

1827
13
Added
07 Oct 2011

This dataset was first added to LRIS Portal on 07 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 48229
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

GDM - All Plants - Underlying Data: mastran

1936
13
Added
07 Oct 2011

This dataset was first added to LRIS Portal on 07 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 48230
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

GDM - All Plants - Underlying Data: mattran

2134
12
Added
07 Oct 2011

This dataset was first added to LRIS Portal on 07 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 48231
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

GDM - All Plants - Underlying Data: r2pettran

2003
12
Added
07 Oct 2011

This dataset was first added to LRIS Portal on 07 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 48232
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

GDM - All Plants - Underlying Data: raintran

2203
13
Added
07 Oct 2011

This dataset was first added to LRIS Portal on 07 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 48233
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

GDM - All Plants - Underlying Data: slopetran

1991
16
Added
07 Oct 2011

This dataset was first added to LRIS Portal on 07 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 48234
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

GDM - All Plants - Underlying Data: tmintran

2033
13
Added
07 Oct 2011

This dataset was first added to LRIS Portal on 07 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 48235
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed
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