Location and extent of NZ's aquifers, 2015

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Creative Commons Attribution 3.0 New Zealand

You may use this work for commercial purposes.

You must attribute the creator in your own works.

21549
330
Added
11 Jan 2016

This dataset was first added to MfE Data Service on 11 Jan 2016.

"A unit of rock or sediment is called an aquifer when it can yield a usable quantity of water.
Aquifers may occur at different depths in the same location. The map shows the areas of New Zealand’s land surface above one or more aquifers. The aquifer boundaries were described by White (2001), and some boundaries were updated by Moreau and Bekele (2015), using information provided by regional councils and from Lovett and Cameron (2015). The map has 153 polygons (aquifer outlines), some of which have more than one aquifer.
Methods for defining aquifer boundaries generally rely on knowing the locations and characteristics of productive wells, and using geological maps to identify water–bearing materials. In many cases, these boundaries are also influenced by management attributes such as regional or property boundaries, and surface water catchments (Lovett & Cameron, 2015).
This dataset relates to the ""Location and area of New Zealand’s aquifers"" measure on the Environmental Indicators, Te taiao Aotearoa website.
"

Layer ID 52675
Data type Vector multipolygon
Feature count 153
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Irrigated land area, raw, 2020 update

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

4052
73
Added
14 Apr 2021

This dataset was first added to MfE Data Service on 14 Apr 2021.

DATA SOURCE: Aqualinc Research Limited

[Technical report available at environment.govt.nz/publications/national-irrigate...]

Adapted by Ministry for the Environment and Statistics New Zealand to provide for environmental reporting transparency

The spatial data covers all mainland regions of New Zealand, with the exception of Nelson, which is not believed to contain significant irrigated areas. The spatial dataset is an update of the national dataset that was first created in 2017. The current update has incorporated data from the 2019 – 2020 irrigation season.

More information on this dataset and how it relates to our environmental reporting indicators and topics can be found in the attached data quality pdf.

Layer ID 105407
Data type Vector multipolygon
Feature count 39859
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Erosion risk North Island 2012

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Creative Commons Attribution 3.0 New Zealand

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13471
185
Added
12 Feb 2016

This dataset was first added to MfE Data Service on 12 Feb 2016.

"This data records estimated erosion risk for different areas in the North Island.

New Zealand experiences high rates of soil erosion. In the North Island, this is mostly due to the historical clearance of forest for agriculture (see also Estimated long-term soil erosion). In contrast, erosion in the South Island is mostly due to natural processes, primarily high rainfall and steep mountain slopes.
Highly erodible land comprises land at risk of landsliding, gullying, or earthflow erosion if it does not have protective woody vegetation (Dymond et al, 2006). Landsliding occurs on steep slopes where the soils do not have the support of tree roots.
Gullying and earthflow erosion can occur on all slopes, irrespective of steepness, but the land is only considered at risk if it does not have woody vegetation.
Landslide erosion is the shallow (approximately 1m) and sudden failure of soil slopes during storm rainfall. Gully erosion is massive soil erosion that begins at gully heads and expands up hillsides, over decadal time scales. Earthflow erosion is the slow downward movement (approximately 1m/year) of wet soil slopes towards waterways.

This data set relates to the "Estimated highly erodible land in the North Island" measure on the Environmental Indicators, Te taiao Aotearoa website."

Layer ID 53177
Data type Image/Raster
Resolution 100.000m
Services Raster Tiles Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Average annual rainfall, 1972–2016

Licence

Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

8263
372
Added
12 Oct 2017

This dataset was first added to MfE Data Service on 12 Oct 2017.

Rain is vital for life – it supplies the water we need to drink and to grow our food, keeps our ecosystems healthy, and supplies our electricity. New Zealand’s mountainous terrain and location in the roaring forties mean rainfall varies across the country. Changes in rainfall amount or timing can significantly affect agriculture, energy, recreation, and the environment. For example, an increase or decrease of rainfall in spring can have marked effects on crops or fish populations.
More information on this dataset and how it relates to our environmental reporting indicators and topics can be found in the attached data quality pdf.

Layer ID 89421
Data type Grid
Resolution 5110.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Distribution of possums 2002–2014

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Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

13754
113
Added
12 Feb 2016

This dataset was first added to MfE Data Service on 12 Feb 2016.

"The pressure from animal and plant pests is one of the biggest threats to biodiversity in the land environment. Pest predators (such as stoats and possums) eat eggs, birds, lizards, insects, and snails. Other animal pests (such as deer and goats) damage and kill trees and other plants and can compete with indigenous animals for the plants’ fruit and seed. Pest plants can out-grow the local vegetation. All these activities can dramatically change both our indigenous and agricultural environments.

This data set relates to the "Land pests" measure on the Environmental Indicators, Te taiao Aotearoa website."

Layer ID 53158
Data type Image/Raster
Resolution 100.000m
Services Raster Tiles Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Livestock numbers grid APS 2017

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

10130
131
Added
17 Apr 2019

This dataset was first added to MfE Data Service on 17 Apr 2019.

The shapefile provides counts and densities of livestock numbers within a hexagonal grid from data derived from the Agricultural Production Survey census final results for 2017.

More information on this dataset and how it relates to our environmental reporting indicators and topics can be found in the attached data quality pdf.

Layer ID 99906
Data type Vector multipolygon
Feature count 963
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Distribution of stoats 2002–2014

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.

11007
71
Added
12 Feb 2016

This dataset was first added to MfE Data Service on 12 Feb 2016.

"The pressure from animal and plant pests is one of the biggest threats to biodiversity in the land environment. Pest predators (such as stoats and possums) eat eggs, birds, lizards, insects, and snails. Other animal pests (such as deer and goats) damage and kill trees and other plants and can compete with indigenous animals for the plants’ fruit and seed. Pest plants can out-grow the local vegetation. All these activities can dramatically change both our indigenous and agricultural environments.

This data set relates to the "Land pests" measure on the Environmental Indicators, Te taiao Aotearoa website."

Layer ID 53161
Data type Image/Raster
Resolution 100.000m
Services Raster Tiles Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Distribution of rats 2002–2014

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.

10678
70
Added
12 Feb 2016

This dataset was first added to MfE Data Service on 12 Feb 2016.

"The pressure from animal and plant pests is one of the biggest threats to biodiversity in the land environment. Pest predators (such as stoats and possums) eat eggs, birds, lizards, insects, and snails. Other animal pests (such as deer and goats) damage and kill trees and other plants and can compete with indigenous animals for the plants’ fruit and seed. Pest plants can out-grow the local vegetation. All these activities can dramatically change both our indigenous and agricultural environments.

This data set relates to the "Land pests" measure on the Environmental Indicators, Te taiao Aotearoa website."

Layer ID 53159
Data type Image/Raster
Resolution 100.000m
Services Raster Tiles Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Number of days when wind speed exceeded storm force (Beaufort Scale 10) in 2015

Licence

Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

6027
16
Added
14 Oct 2016

This dataset was first added to MfE Data Service on 14 Oct 2016.

The ocean storm index estimates the number of days in a year when wind speeds exceed gale and storm force on the Beaufort Scale. In a gale, sea conditions are rough and waves can be over six metres high. In a storm, waves can be over 10 metres high. To put this into context, on land a near gale would make walking difficult, and a storm would cause some damage to roofs, chimneys, and trees. Climate change could lead to changes in the frequency and intensity of storms. More frequent and intense storms will likely be a stressor for habitats and species.
The ocean storm index estimates the number of days that wind speeds exceed gale and storm force on the Beaufort Scale. The Beaufort Scale is a widely used international classification that rates sea conditions from 0 (calm) to 12 (hurricane). We report on estimated wind speeds broken down to:
- gales – measure 8 on the scale, have rough sea conditions with wind speeds of approximately 62–74 km per hour and wave heights of 5.5 metres
- storms – measure 10 on the scale, have wind speeds of approximately 89–102 km per hour and wave heights of 9–11.5 metres (McDonald & Parsons, 2016).
This dataset relates to the number of days when wind speed exceeded storm force (Beaufort Scale 10) in 2015.

Layer ID 53464
Data type Grid
Resolution About 47632.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Sunshine hours: annual average 1972-2013

Licence

Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

8836
83
Added
18 Feb 2016

This dataset was first added to MfE Data Service on 18 Feb 2016.

"Sunshine is important for our health and recreation, and for the environment. It is also important for our agriculture-based economy, for example, for plant growth.

This dataset shows average annual sunshine hours across New Zealand for years 1972 to 2013.

The National Institute of Water and Atmospheric Research (NIWA) mapped mean annual sunshine hours from the virtual climate station network data (NIWA) generated from data in its National Climate Database, for the period 1981–2013. It generated the Units: percentage of normal by comparing the annual average to the long-term mean for 1981–2010. Maps were produced using the Virtual Climate Station network data. Data for each year are measured over the calendar year (January–December).

The accuracy of the data source is of high quality.

This dataset relates to the ""Sunshine hours in New Zealand"" measure on the Environmental Indicators, Te taiao Aotearoa website.

Geometry: grid
Unit: hrs/yr"

Layer ID 53313
Data type Grid
Resolution 5110.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed
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