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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6145
64
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

Seabird fishing-related mortality by conservation status (2006/7 to 2012/13)

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Creative Commons Attribution 3.0 New Zealand

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6192
7
Added
21 Oct 2016

This dataset was first added to MfE Data Service on 21 Oct 2016.

Along with sea lions, fur seals, and dolphins, seabirds are the protected species most directly affected by fisheries in New Zealand waters (exclusive economic zone and territorial sea). Estimating seabird deaths from bycatch in commercial fishing is one way of assessing the pressure some seabird species face from current fishing practices. About one-third of our 92 resident seabird species and subspecies are considered to be threatened with extinction.
The fishing-related mortality category is derived from a semi-quantitative risk assessment conducted by Richard and Abraham (2015). We are using the threat rating assigned by Richard and Abraham (2015) for Our Marine Environment 2016. The Environment Aotearoa 2015 report used the Ministry for Primary Industries (MPI) risk rating. This results in a change to risk rating for one threatened species, which has a medium rating in the report but a high rating from MPI. This species is the Stewart Island shag, Leucocarbo chalconotus.

Table ID 53506
Data type Table
Row count 113
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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6116
78
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

Daily peak UV index values, Invercargill, Leigh, Lauder, Paraparaumu and Christchurch (1981–2014)

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Creative Commons Attribution 3.0 New Zealand

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6169
23
Added
01 Oct 2015

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

Too much exposure to the sun's ultraviolet (UV) radiation can cause skin cancer. Ozone absorbs some UV radiation, and UV levels can vary in relation to changes in atmospheric ozone. Monitoring UV levels can help us understand current skin cancer risk.
The Lauder spectroradiometer (UVM dataset) data are used to assure the reliability of broad-band erythermal UV (RB dataset) from five sites. Measurements supplied are daily peak, noon-time mean, and total daily dose of erythemal (skin-reddening) UV.
Further information can be found in:
Liley, B, Querel, B, & McKenzie, R (2014). Measurements of Ozone and UV for New Zealand. Prepared for the Ministry for the Environment, Wellington. Available at data.mfe.govt.nz/x/LoPyPo on the Ministry for the Environment dataservice (data.mfe.govt.nz/).
This dataset relates to the "UV intensity" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52584
Data type Table
Row count 60760
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Time series for two coastal sea surface temperature monitoring stations (1953–2012)

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Creative Commons Attribution 3.0 New Zealand

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6125
55
Added
28 Sep 2015

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

Coastal sea-surface temperature is influenced by solar heating and cooling, latitude, and local geography. It is hard for some marine species to survive when the sea temperature changes. This can affect marine ecosystems and processes. It can also affect fish-farming industries based in our coastal areas.
This dataset relates to the "Coastal sea-surface temperature" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52525
Data type Table
Row count 60
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

PM10 concentrations in towns and cities 2006–13

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Creative Commons Attribution 3.0 New Zealand

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6111
68
Added
02 Dec 2015

This dataset was first added to MfE Data Service on 02 Dec 2015.

Particulate matter 10 micrometres or less in diameter (PM10) in the air comprises solid particles and liquid droplets from both natural and human-made sources. PM10 can be emitted from the combustion of fuels, such as wood and coal (eg from home heating and industry), and petrol and diesel (from vehicles). Natural sources of PM10 include sea salt, dust, pollen, smoke (from bush fires), and volcanic ash. Nationally, burning wood or coal for home heating is the main human-made source of PM10.

PM10 is of particular concern because it is found in high concentrations in some areas and can damage health. It is associated with effects ranging from respiratory irritation to some forms of cancer.

Column headings:
- Con_mcg_m3 = Concentration in micrograms per cubic metre (μg/m3)

This dataset relates to the "Annual average PM10 concentrations in towns and cities" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52625
Data type Table
Row count 648
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Notified cases of campylobacteriosis and cryptosporidiosis (1997–2013)

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Creative Commons Attribution 3.0 New Zealand

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6168
9
Added
01 Oct 2015

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

Bacteria and parasites like campylobacter, salmonella, and cryptosporidium can contaminate our food and water, leading to serious illness. Campylobacter, salmonella, and cryptosporidium are influenced by temperature and other climate variables, and incidence rates may increase as climate change causes temperatures to rise. Monitoring the incidence rates of illnesses can help us assess the health risks related to climate change and better prepare for disease outbreaks.
This dataset relates to the "Food and water-borne diseases" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52556
Data type Table
Row count 442
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Seasonality of PM10 exceedances

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Creative Commons Attribution 3.0 New Zealand

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6150
11
Added
16 Sep 2015

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

Particulate matter 10 micrometres or less in diameter (PM10) in the air comprises solid particles and liquid droplets from both natural and human-made sources. PM10 can be emitted from the combustion of fuels, such as wood and coal (eg from home heating and industry), and petrol and diesel (from vehicles). Natural sources of PM10 include sea salt, dust, pollen, smoke (from bush fires), and volcanic ash. Nationally, burning wood or coal for home heating is the main human-made source of PM10.

PM10 is of particular concern because it is found in high concentrations in some areas and can damage health. It is associated with effects ranging from respiratory irritation to some forms of cancer.

This dataset relates to the "Seasonality of PM10 exceedances" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52449
Data type Table
Row count 12
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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6107
40
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

Conservation status of seabird species and subspecies (2012)

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Creative Commons Attribution 3.0 New Zealand

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6092
38
Added
28 Sep 2015

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

New Zealand has 92 seabird and 14 shorebird species and subspecies (taxa). We have the highest number of endemic seabirds (found only in a particular area) in the world. Nearly 25 percent of the world’s seabird species breed in the New Zealand region, and almost 10 percent only breed here. Seabirds and shorebirds tend to be at or near the top of the food chain, and thrive only if the marine ecosystem is healthy. Decreasing bird populations can signal that the ecosystem is degrading.
This dataset relates to the "Conservation status of seabirds and shorebirds" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52511
Data type Table
Row count 92
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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