Growing degree days trend assessment, for New Zealand, the North Island, and the South Island, 1972/3–2015/6

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Creative Commons Attribution 4.0 International

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5638
12
Added
17 Oct 2017

This dataset was first added to MfE Data Service on 17 Oct 2017.

Growing degree days (GDD) measures the amount of warmth available for plant and insect growth and can be used to predict when flowers will bloom and crops and insects will mature. GDD counts the total number of degrees Celsius each day is above a threshold temperature. In this report we used 10 degrees Celsius. Increased GDD means that plants and insects reach maturity faster, provided that other conditions necessary for growth are favourable, such as sufficient moisture and nutrients. As a measure of temperature, GDD experiences short-term changes in response to climate variations, such as El Niño, and in the longer-term is affected by our warming climate.
Growing degree days (GDD) counts the number of days that are warmer than a threshold temperature (Tbase) in a year. GDD is calculated by subtracting the Tbase from the average daily temperature (maximum plus minimum temperature divided by two). If the average daily temperature is less than Tbase the GDD for that day is assigned a value of zero.
This dataset gives the trend in GDD over growing seasons (July 1 – June 30 of the following year) for New Zealand and the North and South Islands.
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 89476
Data type Table
Row count 3
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

He Pātaka Wai Ora Report_datasheet raw water nutrients

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Creative Commons Attribution 3.0 New Zealand

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5907
2
Added
25 Apr 2017

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

Table ID 53609
Data type Table
Row count 1646
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

He Pātaka Wai Ora Report_datasheet raw water quality

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Creative Commons Attribution 3.0 New Zealand

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5673
8
Added
25 Apr 2017

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

Table ID 53611
Data type Table
Row count 796
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Health effects from PM10 2006 and 2012

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Creative Commons Attribution 3.0 New Zealand

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5337
11
Added
15 Oct 2015

This dataset was first added to MfE Data Service on 15 Oct 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 is of particular concern because of high concentrations in some areas. It can also damage health, with associated effects ranging from respiratory irritation to cancer. This indicator considers PM10 from human-made sources, such as burning wood or coal for home heating or road motor vehicle emissions.

We report on the estimated number of premature deaths, hospitalisations, and restricted activity days for the New Zealand population from exposure to PM10 from human activities.

• Premature deaths are deaths, often preventable, that occur before a person reaches the age they were expected to live to.
• Hospitalisations relate to hospitalisations for respiratory and cardiac illnesses (not including cases leading to premature death).
• Restricted activity days occur when symptoms are sufficient to limit usual activities such as work or study.

This dataset relates to the "Health effects from exposure to PM10" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52598
Data type Table
Row count 18
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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 is of particular concern because of high concentrations in some areas. It can also damage health, with associated effects ranging from respiratory irritation to cancer. This indicator considers PM10 from human-made sources, such as burning wood or coal for home heating or road motor vehicle emissions.

We report on the estimated number of premature deaths, hospitalisations, and restricted activity days for the New Zealand population (per 100,000 people) from exposure to PM10 from human activities.

• Premature deaths are deaths, often preventable, that occur before a person reaches the age they were expected to live to.
• Hospitalisations relate to hospitalisations for respiratory and cardiac illnesses (not including cases leading to premature death).
• Restricted activity days occur when symptoms are sufficient to limit usual activities such as work or study.

This dataset relates to the "Health effects from exposure to PM10" measure on the Environmental Indicators, Te taiao Aotearoa website.

The Health effects from PM10: 2012 updated HAPINZ model can be found at data.mfe.govt.nz/x/KJdi75 and the updated exposure model can be found at data.mfe.govt.nz/x/wgSS3a on the Ministry for the Environment dataservice (data.mfe.govt.nz/).

Table ID 52597
Data type Table
Row count 6
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Health impacts of PM10, 2006 & 2016

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Creative Commons Attribution 4.0 International

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6417
16
Added
17 Oct 2018

This dataset was first added to MfE Data Service on 17 Oct 2018.

PM10 (particulate matter less than 10 micrometres in diameter) comprises solid and liquid particles in the air. PM10 can be inhaled and the largest particles in this size fraction are deposited in the upper airways, while the smaller ones can deposit deep in the lungs. Children, the elderly, and people with existing heart or lung problems have a higher risk of health effects from PM10 exposure. Health effects include decreased lung function or heart attack, and mortality.
We report on the modelled number of premature deaths for adults (30+ years), hospitalisations, and restricted activity days for people of all ages for years 2006 and 2016 only. The model only includes impacts that result from exposure to PM10 that comes from human activities.
We focus on PM10 from human activities because these sources can be managed, unlike PM from natural sources such as sea salt.
• Premature deaths are those, often preventable, occurring before a person reaches the age they could be expected to live to.
• Hospitalisations relate to those for respiratory and cardiac illnesses (not including cases leading to premature death).
• Restricted activity days occur when symptoms are sufficient to limit usual activities such as work or study. These days aren’t shared evenly across the population – people with asthma or other respiratory conditions would likely have more restricted activity days.
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 98462
Data type Table
Row count 12
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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5888
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

Heavy metal exceedances in estuarine and coastal sediment (2010–14)

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Creative Commons Attribution 3.0 New Zealand

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5324
42
Added
28 Sep 2015

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

Heavy metals occur naturally in estuaries, but high concentrations suggest contamination from another source. The metals can be transported along waterways from urban environments (and, for cadmium, from farmland) and accumulate in estuarine and coastal sediments. They are toxic and accumulate in fish and shellfish. We focus on four heavy metals: lead, copper, zinc, and cadmium.
This dataset relates to the "Heavy metal load in sediment" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52509
Data type Table
Row count 375
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Heavy metals in coastal and estuarine sediment 2009 and 2012–2018

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Creative Commons Attribution 4.0 International

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4258
11
Added
16 Apr 2019

This dataset was first added to MfE Data Service on 16 Apr 2019.

This indicator measures the concentrations of four heavy metals (lead, copper, zinc and cadmium) against the Australian & New Zealand Environment and Conservation Council (ANZECC) guideline values for toxic substances in estuarine sediment.

Heavy metals occur naturally in estuaries, but high concentrations suggest contamination from another source. The metals can be transported along waterways from urban environments (and, for cadmium, from farmland) and accumulate in estuarine and coastal sediments. Heavy metals are toxic although some such as copper and zinc are classed as micro-nutrients at very low concentrations. They accumulate in sediment, where they can be taken up by organisms, and are harmful to species and habitats. They also bio-accumulate (are found in higher concentrations in species further up the food chain).

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 99880
Data type Table
Row count 4852
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Hector’s and Māui dolphin deaths (1921–2015)

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Creative Commons Attribution 3.0 New Zealand

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7307
50
Added
19 Oct 2016

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

The Hector’s and Māui dolphins are subspecies of the small dolphin Cephalorhynchus hectori. These coastal dolphins are endemic to New Zealand (not found anywhere else). Māui dolphins are found on the west coast of the North Island, most often between Maunganui Bluff, north of Dargaville, and New Plymouth. Hector’s dolphins are mostly found around the South Island. Both subspecies are threatened with extinction. The Hector’s dolphin is classified as nationally endangered, while the Māui dolphin is nationally critical. Dolphins can become entangled in fishing gear used by both commercial and recreational fishers, with set nets posing a particularly high risk. Reporting the bycatch of protected species helps us understand the pressures our protected marine species face from fishing.
We report on two aspects of Hector’s and Māui dolphin deaths based on data extracted from the Department of Conservation (DOC) Incident Database for 1921–2015: the number of dolphin deaths by cause of death, including a comparison of deaths over 1996–2015; and the number of dolphin deaths from entanglement by type of fishing gear.

Table ID 53475
Data type Table
Row count 561
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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