Livestock numbers, 1994–2017

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Creative Commons Attribution 4.0 International

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3657
75
Added
16 Apr 2018

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

Livestock farming is a widespread land use in New Zealand and contributes to our economy. High livestock numbers and the distribution of livestock across land environments can affect indigenous biodiversity and soil health (eg compaction). High livestock numbers and density in some land environments can also affect water quality, as nitrogen and bacteria from urine and faeces can leach into groundwater or run off the land into rivers and lakes.

We measure changes in the numbers of farmed livestock (eg beef and dairy cattle, deer, and sheep) across regions in New Zealand.

Table ID 95344
Data type Table
Row count 2075
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Agricultural and horticultural land use, 2002–16

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Creative Commons Attribution 4.0 International

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4397
147
Added
16 Apr 2018

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

Dominant land uses in New Zealand include conservation (eg national and forestry parks), forestry (eg for timber resources/wood supply), urban (eg built up areas and open parkland), and agriculture and horticulture. Each land use places different pressures on the land and on receiving environments such as waterways. These pressures can be both positive (eg increased productivity) and negative (eg biodiversity loss and reduced functioning of ecosystems).

This measure reports on agricultural and horticultural land uses by region.

Table ID 95343
Data type Table
Row count 620
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Change in farm size, 2002–16

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Creative Commons Attribution 4.0 International

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2695
37
Added
16 Apr 2018

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

The area of farms involved in agricultural activities, and how this is 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 95342
Data type Table
Row count 584
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Conservation status of indigenous land species, 2010–16

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Creative Commons Attribution 4.0 International

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3146
26
Added
16 Apr 2018

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

New Zealand has unique indigenous plants and animals that are our national taonga (treasures). Because most are endemic (found nowhere else in the world) New Zealand makes an important contribution to global biodiversity. Biodiversity is important for ecosystem processes, te ao Māori including mahinga kai (customary food gathering), and culture and recreation.

The conservation status of our biodiversity represents their risk of extinction. This data covers the conservation status, and most-recent change in status, of native and resident taxa for which we had sufficient information on abundance and distribution. This includes bats, birds, earthworms, lichens, plants, reptiles and frogs, snails, spiders, and insects.

We also include the number of species that have had a genuine change in conservation status between assessment periods.Where conservation status changed, this measure also looked at the NCTCS listings done in 2012 for birds (Robertson et al, 2017); 2012 for reptiles (Hitchmough et al, 2015); and 2010 for Orthoptera (Trewick et al, 2012). A change in a species’ conservation status reflects a change in its risk of extinction.

For more information on the Department of Conservation’s Threat Classification System (NZTCS) please refer to: www.doc.govt.nz/nztcs

Table ID 95341
Data type Table
Row count 8679
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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3145
36
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

Bird species on public conservation land, estimated occupancy 2013–16

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Creative Commons Attribution 4.0 International

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2978
8
Added
16 Apr 2018

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

The status of our bird communities is an important indicator of the condition of our ecosystems. Many indigenous birds play key ecological roles, including dispersing seeds and pollinating flowers. In some situations, exotic bird species (not indigenous to New Zealand) can partially fulfill these roles. A reduction in the distribution and/or decline in numbers for common and widespread species can equate to large losses of individuals and ecosystem integrity. By measuring the composition of bird communities across public conservation land (forest and non-forest sites) we can monitor how they change over time.

This measure reports on the occupancy of indigenous and exotic bird species on public conservation land, by wood cover, averaged over surveys from 2013 to 2016.

Table ID 95339
Data type Table
Row count 156
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Bird species on public conservation land, estimated diversity 2013–16

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Creative Commons Attribution 4.0 International

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2996
16
Added
16 Apr 2018

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

The status of our bird communities is an important indicator of the condition of our ecosystems. Many indigenous birds play key ecological roles, including dispersing seeds and pollinating flowers. In some situations, exotic bird species (not indigenous to New Zealand) can partially fulfil these roles. A reduction in the distribution and/or decline in numbers for common and widespread species can equate to large losses of individuals and ecosystem integrity. By measuring the composition of bird communities across public conservation land (forest and non–forest sites) we can monitor how they change over time.

This measure reports on the predicted richness (diversity) of bird species on public conservation land, by monitoring site, 2013–2016.

Table ID 95338
Data type Table
Row count 1056
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Bird species on public conservation land, estimated abundance 2013–16

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

3205
18
Added
16 Apr 2018

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

The status of our bird communities is an important indicator of the condition of our ecosystems. Many indigenous birds play key ecological roles, including dispersing seeds and pollinating flowers. In some situations, exotic bird species (not indigenous to New Zealand) can partially fulfil these roles. A reduction in the distribution and/or decline in numbers for common and widespread species can equate to large losses of individuals and ecosystem integrity. By measuring the composition of bird communities across public conservation land (forest and non-forest sites) we can monitor how they change over time.

This measure reports on the estimated abundance of seven common bird species on public conservation land, 2013–2016.Common species are species having occupancy over half of public conservation land.

Table ID 95337
Data type Table
Row count 56
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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3040
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

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

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3190
19
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
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