New Zealand Potential Vegetation (Grid version)

2326
122
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

Basic Ecosystems

Licence

Creative Commons Attribution-Noncommercial-No Derivative Works 3.0

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.

1316
118
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

EcoSat Forests (North Island)

1599
64
Added
07 Oct 2014

This dataset was first added to LRIS Portal on 07 Oct 2014.

Map of indigenous forest classes in New Zealand (podocarp, broadleaved, beech, podocarp-broadleaved, beech-broadleaved, podocarp-broadleaved-beech, kauri, coastal, subalpine scrub).

Layer ID 48415
Data type Multi-attribute Grid
Resolution 15.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

EcoSat Forest (South Island)

1292
33
Added
08 Oct 2014

This dataset was first added to LRIS Portal on 08 Oct 2014.

Map of indigenous forest classes in New Zealand (podocarp, broadleaved, beech, podocarp-broadleaved, beech-broadleaved, podocarp-broadleaved-beech, kauri, coastal, subalpine scrub).

Layer ID 48416
Data type Multi-attribute Grid
Resolution 15.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Nitrate Leaching

Online
Only
Licence

Creative Commons Attribution-Noncommercial-No Derivative Works 3.0

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.

740
19
Added
24 Apr 2018

This dataset was first added to LRIS Portal on 24 Apr 2018.

Nitrogen leaching was estimated using OVERSEER farm nutrient budgeting software version 5.4 (Ministry of Agriculture and Forestry et al., 2011) with a modifier to account for OVERSEER version 6. OVERSEER was run for the 100 combinations of soils and climate from level II of LENZ (Leathwick et al., 2003). Stocking rate were set to the carrying capacity of the land according to the New Zealand Land Resource Inventory (Landcare Research, 2011b), and annual leaching rate per stock unit calculated. The nitrogen leaching rates per stock unit were then combined with the map of animal numbers to produce a map of nitrogen leaching for all of New Zealand.

(Currently unavailable for download - 18/10/2018)

Layer ID 95392
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

GHG Fluxes (Greenhouse Gases)

Online
Only
Licence

Creative Commons Attribution-Noncommercial-No Derivative Works 3.0

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.

435
11
Updated
26 Apr 2018

This dataset was last updated on LRIS Portal on 26 Apr 2018.

The current New Zealand greenhouse gas inventory derives implied emission factors that vary between animal types (Ministry for the Environment, 2010). The spatial distribution of animal numbers (dairy, sheep, beef, and deer) was modelled using a land-use map derived from AgriBase (AgriQuality New Zealand, 2003) and the land cover database (LCDB4.1, Manaaki Whenua, 2015). The number of animals were scaled using statistics of livestock numbers at the regional level (Agricultural Production Census (APS), Statistics New Zealand, 2017) and spatially distributed the animals using the potential carrying capacity from fundamental soil layers (Landcare Research, 2011a). N.B. Deer numbers were missing from the APS data for 2015-16 for the Taranaki region which results in reduced GHG values for the region. New Zealand-specific emissions factors were then applied using the IPCC (Intergovernmental Panel on Climate Change) methodology for the agriculture sector for methane and nitrous oxide emissions (Ministry for the Environment, 2010).
Units: tonnes of CO2 equivalent/ha/year

(Currently unavailable for download 18/10/2018)

Layer ID 95391
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

MPI SLMACC Northland Soil Mapunit (version 11)

Licence

Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

278
1
Updated
27 Apr 2017

This dataset was last updated on LRIS Portal on 27 Apr 2017.

Soil map unit raster classification - generated from a Random Forest model based on soil auger data points and terrain and parent material co-variate layers. This model uses 16 soil map units which represent groupings of taxonomically similar soils at NZ Soil Classification sub-group to family level. Random Forest predicts classifications - the map units so defined will be assigned typical soil associations and properties

The project report (11 Mb PDF) for this work is downloadable at www.mpi.govt.nz/dmsdocument/30615-use-of-modern-te...

Layer ID 48559
Data type Multi-attribute Grid
Resolution 5.000m
Services Raster Query API

MPI SLMACC Northland Hillshade 1m

Licence

Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

473
5
Added
13 Apr 2017

This dataset was first added to LRIS Portal on 13 Apr 2017.

Hill shade derived from 1 m resolution digital elevation model built from ground filtered LiDAR point cloud for MPI SLMACC Northland project area between Kaikohe and Paihia.

The project report (11 Mb PDF) for this work is downloadable at www.mpi.govt.nz/dmsdocument/30615-use-of-modern-te...

Layer ID 48555
Data type Image/Raster
Resolution 1.000m

MPI SLMACC Auger and Tacit Soil Observations

Licence

Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

146
1
Added
13 Jun 2017

This dataset was first added to LRIS Portal on 13 Jun 2017.

This dataset contains 500 augers observations of soil properties collected for a digital soil mapping and land use capability analysis in the Kaikohe to Paihia area. An additional 172 tacit points of estimated soil properties at sites where pedologists were confident they could predict likely soil distribution are also included.

These data were used in conjunction with elevation, slope and other spatial explicit covariate data to predict soil distributions continuously across 100 km2 of Northland hill country

The project report (11 Mb PDF) for this work is downloadable at www.mpi.govt.nz/dmsdocument/30615-use-of-modern-te...

Layer ID 48574
Data type Vector point
Feature count 672
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

MPI SLMACC Northland - Erosion Inventory

Licence

Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

968
5
Added
13 Apr 2017

This dataset was first added to LRIS Portal on 13 Apr 2017.

This erosion type mapping was carried out on-screen using the 10 cm digital orthophotography supported by visual terrain analysis using the LiDAR DEM (hill shade and slope classification). The orthophotos were used to identify the most recent erosion features in the Kaikohe
study area; the DEM aided the mapping of features not visible in the orthophotos due to age
or vegetation cover.

The classification of erosion types followed the categories defined by the Land Use
Capability Survey Handbook (Lynn et al. 2009), which differentiates between surface
erosion, mass movement, fluvial erosion, and deposition. Note that the estimated depth of the
landslides (s = shallow, d = deep) was not consistently recorded; instead, the area of the
landslides serves as a reasonable proxy.

The project report (11 Mb PDF) relating to this work is downloadable at www.mpi.govt.nz/dmsdocument/30615-use-of-modern-te...

Layer ID 48556
Data type Vector multipolygon
Feature count 1645
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)
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