Mean September Soil Temperature (South Island)

1238
11
Added
16 Jun 2013

This dataset was first added to LRIS Portal on 16 Jun 2013.

Soil temperature surfaces for the South Island of New Zealand are based on analysis of a combination of monthly mean soil temperature data from the NIWA (National Institute of Water and Atmospheric Research) 3 years data from 175 mini-data-loggers (1997-2000) laid out in a stratified sampling scheme at 7 climatically representative locations in the South Island. At each location a cluster of about 25 data loggers sampled a range of elevations between 100 and 1800 m. At each elevation grouping the 4 primary aspects (N, S, E, W) and a flat site were sampled at a depth of 30cm. Multiple regression used site characteritics of latitude, Distance from coast, elevation, aspect, slope and forest/non-forest cover to predict topographic effects on soil temperatures.

Layer ID 48344
Data type Grid
Resolution 25.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

GDM - Ferns - Underlying Data: mattran

LCR / GDM
1217
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 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 community 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 48245
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Smap Soil Texture February 2018

LCR / SMAP
Licence

Creative Commons Attribution-NonCommercial-NoDerivs 3.0 New Zealand

You may not use this work for commercial purposes.

You must attribute the creator in your own works.

You must not release derivatives of this work.

1150
75
Added
26 Feb 2018

This dataset was first added to LRIS Portal on 26 Feb 2018.

There has been a change in the way the S-map is being made available to users. The S-map primary map layer ofsoil classes (i.e. delineated areas that are labelled with the soil family name) is no longer freely available to commercial users. Access to this data and associated soil attribute data for commercial use is by negotiation - please contact Graeme Anderson. This layer is a "dissolved" representation of the soil textureattribute for S-map previously available as a lookup table. It is available for non-commercial use under a creative commons licence (CC-BY-NC-ND).Soil texture profile is defined in Webb and Lilburne (2011). Texture can be specified as either a single texture or a compound texture profile.clayskeletalloamsandy loamloamy peatpeatsandy peatsilty loamWebb TH, Lilburne LR 2011. Criteria for defining the soil family and soil sibling: The fourth and fifth categories of the New Zealand Soil Classification. 2nd ed. Lincoln, Canterbury, New Zealand, Manaaki Whenua Press. 38 p.

Layer ID 93658
Data type Vector polygon
Feature count 48903
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

GDM - All Plants - Underlying Data: tmintran

LCR / GDM
1200
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 - Ferns - Underlying Data: vpdtran

LCR / GDM
1197
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 48249
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

This layer provides a classification of New Zealand ecosystems according to tree and shrub 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 non-fern tree and shrub taxa from NVS recce data and estimated community compositions from pollen data.

Layer ID 48223
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

LCR / GDM
1177
17
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

This layer provides a classification of New Zealand ecosystems according to fern 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 fern taxa from NVS recce data and estimated community compositions from pollen data.

Layer ID 48222
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Mean November Soil Temperature (South Island)

1180
11
Added
16 Jun 2013

This dataset was first added to LRIS Portal on 16 Jun 2013.

Soil temperature surfaces for the South Island of New Zealand are based on analysis of a combination of monthly mean soil temperature data from the NIWA (National Institute of Water and Atmospheric Research) 3 years data from 175 mini-data-loggers (1997-2000) laid out in a stratified sampling scheme at 7 climatically representative locations in the South Island. At each location a cluster of about 25 data loggers sampled a range of elevations between 100 and 1800 m. At each elevation grouping the 4 primary aspects (N, S, E, W) and a flat site were sampled at a depth of 30cm. Multiple regression used site characteritics of latitude, Distance from coast, elevation, aspect, slope and forest/non-forest cover to predict topographic effects on soil temperatures.

Layer ID 48346
Data type Grid
Resolution 25.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

GDM - Trees and Shrubs - Underlying Data: calciumtran

LCR / GDM
1181
9
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 48252
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed
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