Use of Maori land, livestock, 2006–16

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Creative Commons Attribution 4.0 International

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2852
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. We report on the number of livestock on maori-owned farms for main livestock types (eg farmed beef and dairy cattle, sheep, and deer) for the years 2006-16.

Table ID 95352
Data type Table
Row count 792
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Melanoma registration rates, by age, 1996–2015

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Creative Commons Attribution 4.0 International

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2855
9
Added
18 Oct 2017

This dataset was first added to MfE Data Service on 18 Oct 2017.

This csv reports melanoma registration rates, per 100,000 population, by age. Age is grouped in 5 year segments (eg 0–4 years old, 5–9 years old).
New Zealand and Australia have the world’s highest rates of melanoma, the most serious type of skin cancer. Melanoma is mainly caused by exposure to ultraviolet (UV) light, usually from the sun. New Zealand has naturally high UV levels, especially during summer.
The risk of developing melanoma is affected by factors such as skin colour and type, family history, and the amount of sun exposure. Melanoma can affect people at any age, but the chance of developing a melanoma increases with age. We report on age-standardised rates of melanoma to account for the increasing proportion of older people in our population.
Our data on melanoma registrations come from the New Zealand Cancer Registry and the Ministry of Health's Mortality Collection. The passing of the Cancer Registry Act 1993 and Cancer Registry Regulations 1994 led to significant improvements in data quality and coverage (Ministry of Health, 2013). A sharp increase in registrations after 1993 is likely to have been related to these legislative and regulatory changes; for this reason we have only analysed data from 1996.
2014–15 data are provisional and subject to change.
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 89482
Data type Table
Row count 60
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Potential evapotranspiration deficit (PED), 1972–2016

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Creative Commons Attribution 4.0 International

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2842
22
Added
13 Oct 2017

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

Interpolated PED values at 30 regionally representative sites.
Soil moisture is vital for plant growth. When plants cannot access the water they need, growth is reduced, affecting crops and food for livestock, and native biodiversity. Over a sustained period, a drought can have significant social and economic costs, particularly for rural communities.
Potential evapotranspiration deficit (PED) can be thought of as a drought index. It is the difference between how much water could potentially be lost from the soil through evapotranspiration and how much is actually available. When PED is high, plants do not have the full amount of water available they need for growth. PED is measured in growing seasons (the 12 months from 1 July to 30 June of the following year. Data covers each of the growing seasons from 1 July 1972, with the last growing season in the series ending on 30 June 2016. 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 89437
Data type Table
Row count 1320
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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2821
41
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

Growing degree days trend assessment, by site, 1972/3–2015/6

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Creative Commons Attribution 4.0 International

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2844
18
Added
18 Oct 2017

This dataset was first added to MfE Data Service on 18 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 30 sites.
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 89481
Data type Table
Row count 30
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Marine pests in ports (2014)

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Creative Commons Attribution 3.0 New Zealand

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2835
21
Added
28 Sep 2015

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

Marine exotic species arrive in New Zealand waters on the hulls of international vessels (biofouling) or in discharged ballast waters. Some have little impact or cannot survive in New Zealand waters. Others are pests that can out-compete indigenous species and alter ecosystems. Marine pests could threaten our cultural and natural heritage, as well as economic activities such as commercial and recreational fishing, shellfish harvesting, and aquaculture.
This dataset relates to the "Marine pests" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52521
Data type Table
Row count 11
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

New Zealand greenhouse gas emissions summary data, 1990–2015

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Creative Commons Attribution 4.0 International

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2823
31
Added
13 Oct 2017

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

New Zealand greenhouse gas emissions source and sink summary data by sector and gas for 1990-2015. Data are sourced from the 1990-2015 New Zealand Greenhouse Gas Emissions Inventory. 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 89429
Data type Table
Row count 26
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Change in farm numbers, 2002–16

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Creative Commons Attribution 4.0 International

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2819
33
Added
16 Apr 2018

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

The number of farms involved in agricultural activities, and how they are changing, is important because agricultural activities can affect soil health and water.

Agricultural activities include beef and sheep, dairy, arable, horticulture, deer, pigs, and other livestock.

Table ID 95340
Data type Table
Row count 560
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Proportion of fish stocks meeting or exceeding performance thresholds (2009–14)

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Creative Commons Attribution 3.0 New Zealand

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2791
59
Added
28 Sep 2015

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

Our fish stocks are affected by commercial, customary, and recreational fishing, and environmental pressures (eg ocean temperature, acidity, and productivity). The Ministry for Primary Industries uses three performance measures to assess influences on fish stocks: a soft limit (below which a rebuilding plan is required), a hard limit (below which closing a fishery should be considered), and an overfishing threshold (where the rate of extraction is higher than the rate of replenishment).
This dataset relates to the "State of fish stocks" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52512
Data type Table
Row count 58
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Annual national electricity generation, total and hydrogeneration, 1974-2013

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Creative Commons Attribution 3.0 New Zealand

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2831
16
Added
29 Sep 2015

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

Hydroelectricity is a renewable source of electricity. It makes an important contribution to New Zealand’s energy supply and economy.

This dataset relates to the "Contribution of hydroelectricity to total electricity generation" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52542
Data type Table
Row count 80
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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