Marine reserves (2014)

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Creative Commons Attribution 3.0 New Zealand

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2768
30
Added
28 Sep 2015

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

New Zealand’s four million km2 marine environment is diverse, with a range of coastal habitats and offshore seabed environments. We also have many marine species found only in New Zealand. Marine protected areas conserve or manage some of these unique habitats and species, while a range of other tools also provide marine protection. We report on the area covered by marine reserves as an indirect measure to understand the state of the marine environment.

Table ID 52518
Data type Table
Row count 28
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Rare ecosystems - Threat status of rare ecosystems, by ecosystem class, 2014

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Creative Commons Attribution 3.0 New Zealand

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2757
39
Added
28 Sep 2015

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

Rare ecosystems are ecosystems that either naturally cover very small areas or have very little of their original extent remaining. The extent to which they are threatened with extinction informs their conservation priority.

Column headings:
no_ecosys = number of rare ecosystems

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

Table ID 52486
Data type Table
Row count 71
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

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

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Creative Commons Attribution 3.0 New Zealand

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2779
16
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

New Zealand greenhouse gas emissions detailed data, 1990 and 2015

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Creative Commons Attribution 4.0 International

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2774
21
Added
13 Oct 2017

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

Detailed New Zealand greenhouse gas emissions data for 1990 and 2015 for Energy and Agriculture sectors. Data are sourced from the 1990–2015 New Zealand Greenhouse Gas Emissions Inventory. Includes sub–sub–sector data. Emissions are in kt and have not been standardised by conversion to CO2 equivalents. Greenhouse gases (GHGs) absorb heat from Earth’s surface, warming the atmosphere and changing our climate. New Zealand’s share of GHG emissions is very small, but our gross emissions per person are high. Emissions mainly come from combustion of fossil fuels that emit carbon dioxide (CO2), and agriculture which emits methane (CH4) and nitrous oxide (N2O). Carbon dioxide remains in the atmosphere much longer than other major GHGs. Because of this, today’s global CO2 emissions will continue to influence atmospheric CO2 concentrations for a very long time. Methane and N2O trap heat better than CO2 but leave the atmosphere faster. Reducing emissions of CH4 and N2O will decrease concentrations in the atmosphere more quickly.Greenhouse gases (GHGs) absorb heat from Earth’s surface, warming the atmosphere and changing our climate. New Zealand’s share of GHG emissions is very small, but our gross emissions per person are high. Emissions mainly come from combustion of fossil fuels that emit carbon dioxide (CO2), and agriculture which emits methane (CH4) and nitrous oxide (N2O). Carbon dioxide remains in the atmosphere much longer than other major GHGs. Because of this, today’s global CO2 emissions will continue to influence atmospheric CO2 concentrations for a very long time. Methane and N2O trap heat better than CO2 but leave the atmosphere faster.
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 89430
Data type Table
Row count 210
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Use of Māori land, land use, 2006–16

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Creative Commons Attribution 4.0 International

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2778
15
Added
16 Apr 2018

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

Land (whenua) is taonga tuku iho (cultural property, heritage) and of special importance to Māori. As the whakapūmautanga (legacy for the future), whenua provides for cultivation and storage of traditional foods and plants – for customary use and mahinga kai, and helps sustain each generation.

We report only on the available data we have, which cover a subset of Māori land used for primary production activities. The main land use types covered are grassland, forest plantation, bush and scrub, and horticulture.

Table ID 95351
Data type Table
Row count 990
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Number of frost days for selected sites (1975–2013)

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Creative Commons Attribution 3.0 New Zealand

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2755
35
Added
01 Oct 2015

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

The number of frost and hot days we experience each year can change in response to many climate factors, such as the warming pattern induced by El Niño. These numbers indicate the variations in our climate and are an important consideration in agriculture. They also affect our behaviour, for example, what we do to keep safe on icy roads or whether to use air conditioning to keep cool.
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 "Frost and hot days" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52575
Data type Table
Row count 12194
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Number of extreme weather events identified by ICNZ (1975–2014)

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Creative Commons Attribution 3.0 New Zealand

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2735
45
Added
01 Oct 2015

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

Extreme weather events are weather events that are rare or even statistically unlikely. In New Zealand, such events can be dangerous and costly, both socially and monetarily. They can cause damage that affects productivity and leads to millions of dollars in insurance claims.
This dataset relates to the "Insurance losses for extreme weather events" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52586
Data type Table
Row count 129
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Asset value of water resources used for hydroelectric generation, 2007–15

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Creative Commons Attribution 3.0 New Zealand

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2771
7
Added
25 Apr 2017

This dataset was first added to MfE Data Service on 25 Apr 2017.

Water is an important source of energy that contributes to New Zealand’s energy supply and the economy. As the main source of renewable energy in New Zealand, the use of water supports the production of the electricity industry. Tracking the value of this water as a natural resource – along with land form, slope, and elevation, which all help to generate hydroelectricity – shows the economic benefits derived from water use for current and future generations. Changes in flow regimes and climate can affect these values.

We report on the value of water resources used to generate hydroelectricity. This value includes both the returns received from current use (resource rent), and expected benefits from future use (the asset value).

Table ID 53615
Data type Table
Row count 54
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Shark catch use (2003–2015)

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Creative Commons Attribution 3.0 New Zealand

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2744
31
Added
19 Oct 2016

This dataset was first added to MfE Data Service on 19 Oct 2016.

New Zealand waters have at least 117 species of chondrichthyans (sharks, rays, and other cartilaginous fish species). They are particularly vulnerable to overfishing because they are long-lived, mature slowly, and have a low reproductive rate. Chondrichthyans are important for healthy ocean ecosystems, and reporting their commercial catch and bycatch helps us understand the sustainability of our fisheries.

Table ID 53482
Data type Table
Row count 52
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Extreme wind, 1972–2016

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Creative Commons Attribution 4.0 International

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2731
44
Added
12 Oct 2017

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

Extreme wind annual statistics for 30 regionally representative sites. The number of days with a maximum gust in the 99th percentile provides information on the frequency of extreme wind events. Percentiles are obtained from all available daily maximum wind gust data. On average, the 99th percentile daily maximum wind gust will be exceeded on approximately 3.6 days per year. Therefore, annual counts higher than this indicate more days than usual with very strong wind gusts recorded; annual counts lower than 3.6 indicate fewer strong wind gust days than usual. By using a percentile threshold we can identify events that are extreme for a particular location. Some places are naturally subject to stronger winds than others, so vegetation can become ‘wind-hardened’ and may have a higher tolerance to high wind gusts (eg a 100 km/hr wind gust may be damaging at one location, but not at another). Using a relative threshold accounts for these differences and better captures extreme wind gust occurrences. The highest maximum gust per year and the average annual highest maximum wind gust both provide information on the magnitude of extreme wind events.
Steady wind can be an important resource, but strong gusts can damage property, topple trees, and disrupt transportation, communications, and electricity. Extreme wind events can occur with frontal weather systems, around strong convective storms such as thunderstorms, and with ex-tropical cyclones. Projections indicate climate change may alter the occurrence of extreme wind events, with the strength of extreme winds expected to increase over the southern half of the North Island and the South Island, especially east of the Southern Alps, and decrease from Northland to Bay of Plenty. Monitoring can help us gauge the potential of, and prepare for, such events.
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 89425
Data type Table
Row count 1327
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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