Road motor vehicle emissions

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Creative Commons Attribution 3.0 New Zealand

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7567
78
Added
16 Sep 2015

This dataset was first added to MfE Data Service on 16 Sep 2015.

Road motor vehicles emit a range of air pollutants from their exhausts, and from brake and tyre wear. They are the main human-made source of nitrogen oxides and carbon monoxide emissions. Exposure to these pollutants can damage health, with effects ranging from respiratory irritation to cancer.

Road motor vehicles range from passenger vehicles to heavy commercial vehicles, including petrol and diesel vehicles. Vehicles for use in farm and construction are not included. While road motor vehicle travel predominantly involves petrol vehicles (approximately 73 percent of vehicle kilometres travelled), diesel vehicles (approximately 27 percent of vehicle kilometres travelled) contribute the majority of air pollutants from road motor vehicles – specifically particulate matter and nitrogen oxides (NIWA, 2015; Parliamentary Commissioner for the Environment, 2015).

This dataset relates to the "Road motor vehicle emissions" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52433
Data type Table
Row count 130
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Soil quality and land use, 1995–2017

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Creative Commons Attribution 4.0 International

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7534
90
Added
16 Apr 2018

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

Soil supports the productivity of agriculture, horticulture, and forestry, and filters water to help prevent waterways from becoming contaminated. Different land uses put pressure on the land environment and can change soil quality. Soil quality is assessed under four different groups of land uses: forestry, cropping and horticulture, dairy, and dry stock by measuring the following soil properties: acidity (pH), fertility (Olsen P), organic reserves (total carbon, total nitrogen, mineralisable nitrogen), and physical status (macroporosity and bulk density). Soil scientists have identified the target range for each of these indicators, for maintaining production but with a prime focus for managing risk to the environment.

This measure reports on soil quality, by land use and soil order.

Table ID 95345
Data type Table
Row count 1179
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Coastal sea level rise, 1891–2015

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Creative Commons Attribution 4.0 International

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7451
124
Added
14 Oct 2017

This dataset was first added to MfE Data Service on 14 Oct 2017.

Sea-level rise is a consequence of climate change. Increased global temperatures lead to rising sea-levels because warmer waters take up more space and glaciers and polar ice sheets melt into the ocean. Sea-level varies naturally from place to place due to local ocean circulation and temperatures and the movement of the land relative to the sea. For example, earthquakes can lift or drop the land.
Linear trends were provided by NIWA and Emeritus Professor John Hannah (previously University of Otago). Ideally, linear trends in sea level would be reported if there are at least 50 years of data to account for climate variability from climate oscillations such as the 20–30 year Interdecadal Pacific Oscillation (IPO) and the shorter ENSO cycle. Such climate variability can be seen in the increase in annual mean sea level in 1999–2000, when the IPO across the entire Pacific Ocean changed to a negative phase. While the Moturiki data cover 43 years, it was considered appropriate to apply a linear trend to further extend the number of reported sites. Further detail on the data processing (including adjustments for historic datum changes) and methods used for the trend analysis can be found in Hannah (1990), Hannah (2004), and Hannah and Bell (2012).
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 89454
Data type Table
Row count 533
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Interdecadal Pacific Oscillation, 1871–2016

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Creative Commons Attribution 4.0 International

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7410
72
Added
12 Oct 2017

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

The Interdecadal Pacific Oscillation (IPO) is a long-term oscillation of sea-surface temperatures in the Pacific Ocean that can last from 20 to 30 years. Its positive and negative phases affect the strength and frequency of El Niño and La Niña. In New Zealand, the positive phase is linked to stronger west to southwest winds and more rain in the west. This trend is reversed during the negative phase.
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 89382
Data type Table
Row count 730
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Annual glacier ice volumes, 1977–2016

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Creative Commons Attribution 4.0 International

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7379
56
Added
16 Oct 2017

This dataset was first added to MfE Data Service on 16 Oct 2017.

A glacier is a body of slow-moving ice, at least 1 hectare in area that has persisted for two decades or longer. New Zealand has 3,144 glaciers. Most are located along the Southern Alps on the South Island, although Mount Ruapehu on the North Island supports 18 glaciers. New Zealand’s large glaciers are noteworthy for their large debris cover. The exceptions, Franz Joseph and Fox glaciers, are rare examples of glaciers that terminate in a rainforest.
Glacier volume is strongly influenced by climate factors, such as temperature and precipitation, which scientists expect to be affected by the warming climate. Glacial ice is an important water resource. Changes to ice storage and melting can affect ecological and hydropower resources downstream, as well as important cultural values and tourism.
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 89472
Data type Table
Row count 40
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Farm numbers - Farm numbers by agricultural activity, 2002, 2007, and 2012

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Creative Commons Attribution 3.0 New Zealand

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7293
125
Added
28 Sep 2015

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

Farm numbers describes the number of large commercial properties (registered for goods and services tax) that farm crops and/or livestock. It is important to measure the number of large farms involved in these agricultural activities because their extent determines their impacts on soil health and water quality.

Column headings:
num_farms = number of farms

This dataset relates to the "Farm numbers" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52472
Data type Table
Row count 408
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Land cover, 1996–2012

Licence

Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

7344
61
Added
16 Apr 2018

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

Land cover describes the extent of vegetation, water bodies, built environments, and bare natural surfaces (eg gravel and rock) across New Zealand. Measuring the composition of and changes in land cover can help us understand the pressures that different land uses are placing on the biodiversity and functioning of ecosystems.

This measure reports on land cover by class, regional council area, and year.

For more information on the Landcover Database please refer to: lris.scinfo.org.nz/layer/48423-lcdb-v41-land-cover...

Table ID 95348
Data type Table
Row count 3316
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Average estimated groundwater volume, by region, 2010-2014

Licence

Creative Commons Attribution 3.0 New Zealand

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7264
62
Added
29 Sep 2015

This dataset was first added to MfE Data Service on 29 Sep 2015.

Groundwater is the water stored beneath Earth’s surface in aquifers (layers of water-bearing rock or sand). It is used for human and stock drinking water, irrigation, and industry, and also has a role in sustaining some rivers, lakes, and wetlands, especially during low-flow periods. The health of surface-water ecosystems also depends on groundwater.

Estimated average groundwater volumes by 16 regional councils
* region = Regional Council
* bil_cubicm = Average estimated groundwater volume in billion cubic metres

For more information please see:
Moreau M, & Bekele, M (2015). Groundwater Component of the Water Physical Stock Account (WPSA) GNS Science Consultancy Report 2014/290. 35p. Available at data.mfe.govt.nz/x/Tebsax from the Ministry for the Environment dataservice.

This dataset relates to the "Groundwater physical stocks" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52529
Data type Table
Row count 16
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

River water quality trends by monitoring site, 1989-2013

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Creative Commons Attribution 3.0 New Zealand

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7148
126
Added
29 Sep 2015

This dataset was first added to MfE Data Service on 29 Sep 2015.

River water quality water is valued for many reasons including ecological function and habitat, recreational value, its role in supporting people and industry, and its cultural significance. Nutrients such as nitrogen and phosphorus are essential for plant growth, however too much in rivers can lead to ‘nuisance’ growths of river algae and aquatic plants, degrading habitat. High concentrations in the form of ammoniacal nitrogen and nitrate-nitrogen can be toxic to fish and other aquatic animals. Water clarity is a measure of underwater visibility, and affects habitat of aquatic life such as fish and birds, and can also impact on aesthetic values and recreational use of rivers and streams.

Trend statistics and calculation results for the periods 1989-2013, 1994-2013, and 2004-2013 are provided by monitored site. Units for parameters are mg/m3, except CLAR (m). Refer to Larned at al. 2015 for further details.

For more information please see:
Larned, S, Snelder, T, Unwin, M, McBride, G, Verburg, P, McMillan, H (2015).Analysis of Water Quality in New Zealand lakes and Rivers: data sources, data sets, assumptions, limitations, methods and results. NIWA Client Report no. CHC2015-033. Available at data.mfe.govt.nz/x/DDui3u from the Ministry for the Environment dataservice.

This dataset relates to the "River water quality" measures on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52531
Data type Table
Row count 4148
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Annual average temperature anomaly (1909–2013)

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Creative Commons Attribution 3.0 New Zealand

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7170
103
Added
01 Oct 2015

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

Temperature change is influenced by changes in atmospheric composition that result from greenhouse gas emissions. It is also linked to atmospheric circulation changes (eg the El Niño southern oscillation). It can have a significant effect on agriculture, energy demand, and recreation. The primary purpose of the dataset is to provide a long time series which represents the nation-scale state of climate with respect to temperature in New Zealand.
Further information can be found in:
Tait, A, Macara, G, & Paul, V. (2014) Preparation of climate datasets for the 2015 Environmental Synthesis Report: Temperature, Rainfall, Wind, Sunshine and Soil Moisture. Prepared for Ministry for the Environment. Available at data.mfe.govt.nz/x/Fwn9AL on the Ministry for the Environment dataservice (data.mfe.govt.nz/).
This dataset relates to the "National temperature time series" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52572
Data type Table
Row count 1793
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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