Nitrate Leaching

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Creative Commons Attribution-Noncommercial-No Derivative Works 3.0

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1665
34
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)

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Creative Commons Attribution-Noncommercial-No Derivative Works 3.0

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1052
22
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

Sediment Lost

Licence

Creative Commons Attribution-Noncommercial-No Derivative Works 3.0

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1273
35
Added
23 Apr 2018

This dataset was first added to LRIS Portal on 23 Apr 2018.

This layer depicts estimated sediment/soil loss across New Zealand and was created using the NZeem erosion model. Erosion control is defined as the prevention of soil loss by an ecosystem. NZeem has been calibrated from sediment discharges measured in New Zealand rivers (Dymond et al., 2010). This model estimates the long-term mean erosion rate from all sources of erosion, both mass-movement and surficial, and accounts for all sizes of rainfall events. The model was run on the national datasets of rainfall, erosion terrains, and land cover to produce a national 1:50,000 scale map of long-term mean erosion rates. Dymond et al. (2010) assessed the accuracy of the model by comparing predictions of specific sediment discharge (assuming sediment delivery ratio of 1 everywhere) with available measurements and obtained a model efficiency of 0.64.

Layer ID 95388
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Sediment Retained

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Creative Commons Attribution-Noncommercial-No Derivative Works 3.0

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1084
23
Added
23 Apr 2018

This dataset was first added to LRIS Portal on 23 Apr 2018.

This layer depicts estimated sediment/soil retention across New Zealand and was created using the NZeem erosion model. Sediment retained is defined as the difference between soil loss with and without tree cover (sediment loss avoided). Erosion control is defined as the prevention of soil loss by an ecosystem. NZeem has been calibrated from sediment discharges measured in New Zealand rivers (Dymond et al., 2010). This model estimates the long-term mean erosion rate from all sources of erosion, both mass-movement and surficial, and accounts for all sizes of rainfall events. The model was run on the national datasets of rainfall, erosion terrains, and land cover to produce a national 1:50,000 scale map of long-term mean erosion rates. Dymond et al. (2010) assessed the accuracy of the model by comparing predictions of specific sediment discharge (assuming sediment delivery ratio of 1 everywhere) with available measurements and obtained a model efficiency of 0.64.

Layer ID 95387
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Water Yield

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Creative Commons Attribution-Noncommercial-No Derivative Works 3.0

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You must not release derivatives of this work.

1553
41
Updated
03 May 2018

This dataset was last updated on LRIS Portal on 03 May 2018.

This layer represents the net supply of water remaining after evapo-transpiration losses (mm/yr) as an indicator of water- flow regulation. Although this is a simplified view and does not consider low flows or flood flows, it permits national assessment with the use of a nationally applicable water-balance model (similar to the tier 1 approach in Kareiva et al. (2011)). WATYIELD (Fahey et al., 2010) models daily water transfers of rainfall, interception, evapotranspiration, and drainage associated with a soil profile. Input data to the model are daily rainfall and daily potential evapotranspiration (PET). Parameters required for the model included the fraction of intercepted rainfall, vegetation factors for transpiration, and total and readily available water holding capacity of the soil.

Layer ID 95385
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Soil Map of part of Wallace County

3326
19
Added
07 Apr 2015

This dataset was first added to LRIS Portal on 07 Apr 2015.

The soil inventory survey of Wallace County, Southland was mapped at 1:50,000 scale and covers approximately 700,000 hectares of a total of 965,600 hectares. Within 6 physiographic regions, soils have been separated by differences in morphology, drainage and parent materials into 132 soil mapping units. Soils have been correlated to South Island soil sets and classification of soils for land use are provided in the attribute table.

This 1986 soil survey has been superceded in lowland areas by Topoclimate South (1998-2001) and S-map (2014) data.

Layer ID 48419
Data type Vector polygon
Feature count 2170
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Land Cover Database - LCDB v3.3 Change

Licence

Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

3968
98
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

Bannockburn Soil Map (SB222)

4546
27
Added
21 Jun 2013

This dataset was first added to LRIS Portal on 21 Jun 2013.

A downloadable TIFF image of the 1:15,000 scale SB222 soil map - Soils of the Bannockburn Valley, South Island, New Zealand by FG Beecroft. A full resolution PDF version is also available in the attachments section.

Note this is a more detailed soil map than the Grow Otago soils maps, but uses the old Genetic Soil Classification - soil naming conventions used in this map and the attached report may differ from those found in newer soils maps and databases.

Layer ID 48358
Data type Image/Raster
Resolution 3.000m
Services Catalog Service (CS-W), data.govt.nz Atom Feed

Land Elements (South Island)

2542
72
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 48335
Data type Image/Raster
Resolution 25.000m
Services Catalog Service (CS-W), data.govt.nz Atom Feed

Land Elements (North Island)

3046
88
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
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