Agricultural and horticultural land use, 2002–16

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Creative Commons Attribution 4.0 International

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8168
273
Added
16 Apr 2018

This dataset was first added to MfE Data Service on 16 Apr 2018.

Dominant land uses in New Zealand include conservation (eg national and forestry parks), forestry (eg for timber resources/wood supply), urban (eg built up areas and open parkland), and agriculture and horticulture. Each land use places different pressures on the land and on receiving environments such as waterways. These pressures can be both positive (eg increased productivity) and negative (eg biodiversity loss and reduced functioning of ecosystems).

This measure reports on agricultural and horticultural land uses by region.

Table ID 95343
Data type Table
Row count 620
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Soil moisture PED annual average 1972-2014

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Creative Commons Attribution 3.0 New Zealand

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7233
107
Added
18 Feb 2016

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

Soil moisture is important for plant growth. A lack of moisture content over a growing season is a good indicator of drought, which can have social, environmental, and economic impacts. Increasing temperatures and changes in rainfall patterns are expected to increase the frequency and intensity of drought in many regions. Growing season soil moisture deficits are estimated by the potential evapotranspiration deficit, the difference between rainfall and evapotranspiration.

This dataset shows annual average soil moisture (potential evapotranspiration deficit (PED)) across New Zealand for years 1972 to 2014.

Evapotranspiration is the loss of water by evaporation and plant transpiration. PED is the difference between estimated evapotranspiration and rainfall.

We produced maps of the annual PED total (in millimetres) for every growing season (calculated as July–June years) from 1972 to 2013. Care should be taken when comparing maps from year to year – days may be missing from the PED GIS data, and data may have been interpolated to complete the dataset. The interpolation accuracy is lowest in areas of high elevation, where there are fewer climate stations and complex terrain affects accuracy. Climate stations may also open and close, affecting the accuracy of the data provided.

This dataset relates to the "Soil moisture and drought" measure on the Environmental Indicators, Te taiao Aotearoa website.

Geometry: raster catalogue
Unit: mm/yr

Layer ID 53315
Data type Grid
Resolution 5096.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Nitrate–nitrogen, 2009–2013

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Creative Commons Attribution 3.0 New Zealand

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8502
96
Added
11 Jan 2016

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

"Small amounts of nitrogen are a natural component of healthy rivers. Nitrogen in rivers can vary due to differences in land use, climate, elevation, and geology. Nitrogen is transferred from land to water and is cycled through different forms, which can have different effects. Moderate concentrations of nitrate can cause weeds and algae to grow too fast. High concentrations of ammoniacal and nitrate nitrogen can be toxic to fish and other aquatic animals.
This dataset relates to the ""Geographic pattern of nitrogen in river water"" measure on the Environmental Indicators, Te taiao Aotearoa website. "

Layer ID 52723
Data type Vector point
Feature count 760
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Active sand dune extent - Extent of active sand dunes, 1950s–2008

Licence

Creative Commons Attribution 3.0 New Zealand

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5718
29
Added
28 Sep 2015

This dataset was first added to MfE Data Service on 28 Sep 2015.

Active sand dunes are distinct coastal habitats that sit between the land and marine domains. Characterised by their moving sands, they support a unique group of plants and animals. These plant and animal communities are threatened by human efforts to stabilise dunes for their own use.

This dataset relates to the "Active sand dune extent" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52488
Data type Table
Row count 6
Services Web Feature Service (WFS), 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.

6850
60
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

Trends in percent of annual rainfall in the 95th percentile (r95ptot), 1960–2016

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Creative Commons Attribution 4.0 International

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5181
11
Added
13 Oct 2017

This dataset was first added to MfE Data Service on 13 Oct 2017.

Trends in percent of annual rainfall in the 95th percentile (r95ptot), 1960–2016.
Intense rainfall can result in flash floods or land slips that damage homes and property, disrupt transportation, and endanger lives. It can also interfere with recreation and increase erosion. Changes to the frequency of intense rainfall events can alter biodiversity.
Trend direction was assessed using the Theil-Sen estimator and the Two One-Sided Test (TOST) for equivalence at the 95% confidence level.
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.

Table ID 89434
Data type Table
Row count 30
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Annual average Interdecadal Pacific Oscillation Index (1871–2013)

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Creative Commons Attribution 3.0 New Zealand

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7771
82
Added
01 Oct 2015

This dataset was first added to MfE Data Service on 01 Oct 2015.

The Interdecadal Pacific Oscillation (IPO) describes the long-term oscillation of the Pacific Ocean. The Pacific climate oscillation causes climate fluctuations that can influence New Zealand’s climate. For example, it can affect the strength and frequency of El Niño and La Niña events. In New Zealand, the positive phase of the IPO is linked to stronger west to southwest winds and more rain to the west. Such climate phases can impact on our environment, industries, and recreational activities.
The IPO is similar, and nearly equivalent, to the Pacific Decadal Oscillation (PDO). The PDO is a predictor of the impact of the climate oscillation in the northern Pacific.
This dataset relates to the "Inter-decadal Pacific oscillation" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52591
Data type Table
Row count 143
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Heavy metal concentrations, 2002–17

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Creative Commons Attribution 4.0 International

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5578
29
Added
15 Oct 2018

This dataset was first added to MfE Data Service on 15 Oct 2018.

Inhaling particulate matter (PM) containing heavy metals can cause serious health effects (World Health Organization (WHO), 2013). Airborne arsenic is linked to lung cancers (WHO, 2013), and heart, liver, kidney, and nerve damage (Caussy, 2003). Nickel and vanadium are linked to lung and nasal sinus cancers. Lead can impair cognitive function in children and affect an adult’s cardiovascular system, even at low blood levels (WHO, 2013).
Heavy metals are also toxic to other organisms, and can bioaccumulate in animals, especially in aquatic ecosystems (Rahman, Hasegawa, & Lim, 2012). We don’t know how much airborne heavy metal is deposited in New Zealand.
We report on the concentrations of arsenic, lead, and vanadium in PM10 (PM 10 micrometres or less in diameter) from 2007-16 at Henderson – Auckland which were measured using a method directly comparable to relevant guidelines. We also report on arsenic, nickel, lead, and vanadium concentrations at 5 Auckland sites from 2005–16 that were measured using a method which cannot be directly compared to relevant guidelines but provides information on concentrations.
Arsenic is emitted when burning wood treated with copper chromium arsenic preservative (eg building project offcuts). A 2012 Auckland study showed that 17 percent of households may burn such wood (Stones-Havas, 2014).
Lead is emitted from burning wood coated with lead-based paint, by removing lead-based paint from buildings without proper safety precautions, and from industrial discharges (eg at metal smelters). In New Zealand, airborne nickel and vanadium concentrations are highest near ports and are associated with combustion exhaust from ships (Davy & Trompetter, 2018). Monitoring for lead has been limited since the fall in ambient lead concentrations after New Zealand’s petrol became lead free in 1996.
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.

Table ID 98416
Data type Table
Row count 19077
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

New Zealand's greenhouse gas emissions, 1990 - 2018

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Creative Commons Attribution 4.0 International

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1940
32
Added
14 Oct 2020

This dataset was first added to MfE Data Service on 14 Oct 2020.

DATA SOURCE: Ministry for the Environment

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

Dataset used to develop the "New Zealand's greenhouse gas emissions" indicator [available at www.stats.govtnz/indicators/new-zealanads-greenhou...]

This indicator measures New Zealand’s greenhouse gas (GHG) emissions in carbon dioxide equivalent (CO-e) units from 1990 to 2018.

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.

Table ID 105058
Data type Table
Row count 252938
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Livestock numbers grid APS 2002

Licence

Creative Commons Attribution 4.0 International

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7328
15
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 2002.

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 99903
Data type Vector multipolygon
Feature count 963
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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