GDM - All Plants - Underlying Data: r2pettran

2673
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 - Trees and Shrubs - Underlying Data: slopetran

2649
22
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 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 48260
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

GDM - Ferns - Underlying Data: gdmytran

2646
10
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 fern 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 fern taxa from NVS recce data and estimated community compositions from pollen data.

Layer ID 48242
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

2609
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

GDM - All Plants - Underlying Data: mastran

2601
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

LCDB2 User Guide

1366
1243
Added
22 Feb 2012

This item was first added to LRIS Portal on 22 Feb 2012

24
Document ID9144
File namelcdb2-user-guide.pdf
TypePDF
Size4.24 MB

GDM - Ferns - Underlying Data: discoasttran

2590
11
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 fern 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 fern taxa from NVS recce data and estimated community compositions from pollen data.

Layer ID 48240
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

GDM - Trees and Shrubs - Underlying Data: mattran

2588
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 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 48257
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Broom Density 2016

2593
6
Added
19 Jun 2018

This dataset was first added to LRIS Portal on 19 Jun 2018.

Broom density has been classified within 4 ha (200 x 200 m) tiles as either absent (transparent), low density (< 1 plant/ha = yellow), moderate density (<10 plants/ha = orange) or high density (>10 plants/ha = red).

Layer ID 95527
Data type Vector polygon
Feature count 5936
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

LCDB v4.1a cover class change summary 2001 2008

Licence

Creative Commons Attribution 3.0 New Zealand

You may use this work for commercial purposes.

You must attribute the creator in your own works.

2400
199
Added
17 Jul 2015

This item was first added to LRIS Portal on 17 Jul 2015

Pivot table explaining cover class changes between 2001 and 2008

Document ID9471
File namelcdb-v41a-cover-class-change-summary-2001-2008.xlsx
TypeXLSX
Size249 KB
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