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

Soil Survey of Opotiki County

1916
29
Added
20 Aug 2010

This dataset was first added to LRIS Portal on 20 Aug 2010.

The dataset contains polygons of soils of Opotiki District mapped at 1:15000. The attributes contain the soil series and the soil classification. No analytical properties of the soil are included.

Layer ID 48143
Data type Vector polygon
Feature count 1339
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Soil Map of Franklin County

3492
56
Added
18 Aug 2010

This dataset was first added to LRIS Portal on 18 Aug 2010.

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 Survey of Hauraki Plains County

2132
21
Added
19 Aug 2010

This dataset was first added to LRIS Portal on 19 Aug 2010.

The dataset contains polygons of soils of Hauraki Plains County mapped at 1:50000. The attributes contain the soil series and the soil classification. No analytical properties of the soil are included.

Layer ID 48142
Data type Vector polygon
Feature count 304
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Land Elements (North Island)

2098
66
Updated
04 Aug 2017

This dataset was last updated on LRIS Portal on 04 Aug 2017.

This data layer was derived from terrain analysis of a 25 m resolution national digital terrain model to create a setof landform elements. The landform elements are derived from a fuzzy classification based on local geometry (curvature and slope) and landscape context, and provide a primary foundation for mapping soil distribution in steepland land systems, which significantly improves knowledge of soil distribution on hillslopes in complex landscapes, and over a wide range of land systems.

Layer ID 48334
Data type Image/Raster
Resolution 25.000m
Services Catalog Service (CS-W), data.govt.nz Atom Feed
Results 1 to 10 of 121