The dataset contains polygons of soils of King Country mapped at 1:63360. The attributes contain the soil series and the soil classification. No analytical properties of the soils are included.

Layer ID 48139
Data type Vector polygon
Feature count 2627
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

FSL South Island (all attributes)

1979
242
Updated
18 Oct 2011

This dataset was last updated on LRIS Portal on 18 Oct 2011.

The New Zealand Fundamental Soil Layer originates from a relational join of features from two databases: the New Zealand Land Resource Inventory (NZLRI), and the National Soils Database (NSD). The NZLRI is a national polygon database of physical land resource information, including a soil unit. Soil is one in an inventory of five physical factors (including rock, slope, erosion, and vegetation) delineated by physiographic polygons at approximately 1:50,000 scale. The NSD is a point database of soil physical, chemical, and mineralological characteristics for over 1500 soil profiles nationally. A relational join between the NZLRI dominant soil and derivative tables from the NSD was the means by which 14 important soil attributes were attached to the NZLRI polygons. Some if these attributes originate from exact matches with NSD records, while others derive from matches to similar soils or professional estimates.

Layer ID 48137
Data type Vector polygon
Feature count 46448
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

LENZ - October vapour pressure deficit

2082
127
Added
13 Oct 2011

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

October vapour pressure deficit data layer used in the creation of Land Environments of New Zealand (LENZ) classification. The classification layers have been made publicly available by the Ministry for the Environment (see data.mfe.govt.nz/layers/?q=LENZ for to access these layers).

October vapour pressure deficit, recorded in kPa, is used to estimate the effects of variation in the dryness of the air. The climate station data used in the development of this climate surface were derived from summaries of climate observations published by the New Zealand Meteorological Service, using data collected over the period from 1950-1980. Estimates of the vapour pressure deficit for each month were derived by coupling a 100 m DEM with a thin-plate spline surface fitted to an irregular network of 287 meteorological stations, using humidity and temperature data. The resulting 100 metre layer was then interpolated to 25 metres using bilinear interpolation.

Calculation of the vapour pressure deficit first required estimation of the temperature at 0900 hours, the time at which humidity measurements are made. This was calculated from the measured mean daily minimum and maximum temperatures for each month using a function that simulates the temperature course through the day. The estimated temperature at 0900 hours was then used to calculate the saturation water vapour pressure , which indicates the maximum amount of water vapour able to be held in the air given its temperature. Vapour pressure deficits in October were used in LENZ as this is the month when westerly winds are generally most persistent, resulting in strong geographic variation in vapour pressure deficits across New Zealand.

This layer has been multiplied by a factor of 100 (i.e. converted into an integer grid) to save space and make the grids more responsive. A value of 33 is actually 0.33 kPa.

Additional details such as the climate station locations used in the creation of the layer and error maps are defined in the attached LENZ Technical Guide.

Layer ID 48091
Data type Grid
Resolution 25.000m
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 48224
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Land Cover Database - LCDB v3.3 Change

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.

2092
73
Added
13 Nov 2013

This dataset was first added to LRIS Portal on 13 Nov 2013.

This data set (LCDB v3.3 Change) is a mask of non temporal changes made between LCDB v3.3 and the previous version (LCDB v3.0) and temporal change between the 2001 and 2008 timesteps. The non-temporal changes include errors in the earlier mappings and linework refinement, including reversal of over-smoothed hand-drawn linework in v3.0. Errors were identified from; a review of low producing grassland in the South Island, updates from MfE's Kyoto Land Use maps, checks of the dating of v3.0 mapped change, and feedback from users. An “EditDate” and “Authority” attribute are available in this layer indicating the date and source of the change for both non-temporal and temporal changes mapped. The Authority attribute indicates who (or who's dataset) identified the change. Note, where minor line-work improvements were applied using automated processes, the EditDate and Authorify have not been changed (but the “NonTemporal” attribute is still set true). This layer was produced with a tolerance of 50cm as a zero tolerance generates slivers too small for the portal software to project correctly. Funding is from the Ministry for Science and Innovation under contract CO9X1101, which was contributed to by the Ministry for the Environment. The Department of Conservation and individual regional councils and territorial authorities have made significant in kind contributions by checking the draft mapping for their areas of interest.

Layer ID 48404
Data type Vector multipolygon
Feature count 151874
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Soil Map of Franklin County

2112
40
Added
13 Oct 2011

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

The dataset contains polygons of soils of Franklin County mapped at 1:63 360. The attributes contain the soil series and the soil classification. No analytical properties of the soil are included.

Layer ID 48141
Data type Vector polygon
Feature count 241
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Soil Map of Piako County

2113
34
Added
13 Oct 2011

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

The dataset contains polygons of soils of Piako County mapped at 1:63 360. The attributes contain the soil series and the soil classification. No analytical properties of the soil are included.

Layer ID 48129
Data type Vector polygon
Feature count 694
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

New Zealand Potential Vegetation (Grid version)

1935
96
Added
16 Feb 2012

This dataset was first added to LRIS Portal on 16 Feb 2012.

New Zealand's potential forest composition was predicted from regressions relating the distributions of major canopy tree species to environment. Environmental variables, chosen for their correspondence to major tree physiological processes, included annual and seasonal temperature and solar radiation, soil and atmospheric water deficit, soil leaching, slope, and soil parent material and drainage. Environmental values were estimaged both for a large set of irregularly distributed plots describing forest composition, and points on a 1-km grid across New Zealand. Regressions were fitted to the ploy data species by species, with those for the four Nothofagus species also including terms to correct for the effects of their geographic disjunctions. Predictions of species abundance were then made for the grid data set, and the resulting matrix was classified to derive groups of similar composition. This data is expected to provide a context for both the assessment of the biodiversity value of surviving forest remnants and for the subsequent management and/or restoration of these sites.

Layer ID 48279
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Vulnerability to Soil Structural Degradation

1913
85
Added
13 Oct 2011

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

Untimely cultivation, grazing and forestry operations when the soils are wet give rise to a rapid and marked loss of soil structure and a reduction in soil permeability and aeration owing to the compaction, deformation and consolidation of the topsoil and upper subsoil. This degradation results from the pressure of heavy machinery or treading by stock. Some soils are more at risk than others due to their poor resistance and resilience to compacting forces, poor drainage, limited water holding capacity, or higher rainfall.

References
Parfitt, R. L.; Lilburne, L. R.; Shepherd, T. G.; Andrew, R. M. 2002: Vulnerable soils: national maps and models of resistance to pressures. Proceedings of Soil Quality and Sustainable Land Management conference, Palmerston North, New Zealand, 3-5 April, 2002.

Shepherd, T. G.; Lilburne, L. R.; Sparling, G. P. 2000: A rule-based assessment of soil structural vulnerability. Soil News 48(5):127-132.

Layer ID 48168
Data type Vector polygon
Feature count 139526
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Soil Map of Rangitikei County

1914
47
Added
13 Oct 2011

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

The dataset contains polygons of soils of Rangitikei County, mapped at 1:63360. Existing soil data by Cowie et al. (1967) were incorporated into this survey.
The attributes contain the soil series and the soil classification. No analytical properties of the soil are included.

Layer ID 48161
Data type Vector polygon
Feature count 1180
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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