Broom Density 2012

16
0
Added
19 Jun 2018

This dataset was first added to LRIS Portal on 19 Jun 2018.

Broom density has been classified within 4 ha (200 x 200 m) tiles as either absent (transparent), low density (< 1 plant/ha = yellow), moderate density (<10 plants/ha = orange) or high density (>10 plants/ha = red).

Layer ID 95528
Data type Vector polygon
Feature count 5936
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

Broom Density 2016

31
0
Added
19 Jun 2018

This dataset was first added to LRIS Portal on 19 Jun 2018.

Broom density has been classified within 4 ha (200 x 200 m) tiles as either absent (transparent), low density (< 1 plant/ha = yellow), moderate density (<10 plants/ha = orange) or high density (>10 plants/ha = red).

Layer ID 95527
Data type Vector polygon
Feature count 5936
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

Gorse Density 2013

77
0
Added
19 Jun 2018

This dataset was first added to LRIS Portal on 19 Jun 2018.

Gorse density has been classified within 4 ha (200 x 200 m) tiles as either absent (transparent), low density (< 1 plant/ha = yellow), moderate density (<10 plants/ha = orange) or high density (>10 plants/ha = red). Tiles overlap because classification was carried out on individual photos prior to mosaicking. The highest density takes precedence when tiles overlap.

Layer ID 95518
Data type Vector polygon
Feature count 7475
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

Lupin Density 2014

0
0
Added
18 Jun 2018

This dataset was first added to LRIS Portal on 18 Jun 2018.

Lupin density has been classified within 4 ha (200 x 200 m) tiles as either absent (transparent), low density (< 1 plant/ha = yellow), moderate density (<10 plants/ha = orange) or high density (>10 plants/ha = red).

Layer ID 95517
Data type Vector polygon
Feature count 6698
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

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.

414
46
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

Nitrate Leaching

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.

225
13
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.

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)

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.

3
0
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

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

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.

45
7
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

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.

0
0
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

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.

54
6
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
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