Land cover change, 1996–2012

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Creative Commons Attribution 4.0 International

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2846
19
Added
16 Apr 2018

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

Land cover describes the extent of vegetation, water bodies, built environments, and bare natural surfaces (eg gravel and rock) across New Zealand. Measuring the composition of and changes in land cover can help us understand the pressures that different land uses are placing on the biodiversity and functioning of ecosystems.

This measure reports on land cover by class, regional council area, and change over time in hectares and percentage.

For more information on the Landcover Database please refer to: lris.scinfo.org.nz/layer/48423-lcdb-v41-land-cover...

Table ID 95350
Data type Table
Row count 4145
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Oceanic extreme waves (2008–15)

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Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

2840
8
Added
19 Oct 2016

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

Extreme wave indexes estimate the occurrence of extreme wave events in coastal and oceanic waters. Extreme wave indexes estimate the number of times a significant wave height exceeds one of three threshold values for at least 12 hours in 24 marine regions. The three wave-height thresholds are four metres, six metres, and eight metres.
This indicator estimates the exceedances of wave-height thresholds for each year from 2008 to 2015 in oceanic areas around New Zealand.
Significant wave height is a measure of the ‘typical’ wave height in a place over a time period. It is four times the standard deviation of the water surface if, for example, you were to measure water moving up and down a jetty piling for an hour. The largest individual wave will typically have a height around twice the significant wave height.
We use three wave-height thresholds because of the regional variation in extreme wave events. In general, the north experiences less exposure to consistently strong winds, and the waves generated by them, than the south. Four-metre tall waves are considered extreme in the northern-most parts of New Zealand but are more common in the south. For the southern-most parts of New Zealand, eight-metre waves better represent extreme wave events.

Table ID 53477
Data type Table
Row count 18
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Number of days when wind speed exceeded gale force (Beaufort Scale 8) in 2015

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Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

2787
8
Added
14 Oct 2016

This dataset was first added to MfE Data Service on 14 Oct 2016.

The ocean storm index estimates the number of days in a year when wind speeds exceed gale and storm force on the Beaufort Scale. In a gale, sea conditions are rough and waves can be over six metres high. In a storm, waves can be over 10 metres high. To put this into context, on land a near gale would make walking difficult, and a storm would cause some damage to roofs, chimneys, and trees. Climate change could lead to changes in the frequency and intensity of storms. More frequent and intense storms will likely be a stressor for habitats and species.
The ocean storm index estimates the number of days that wind speeds exceed gale and storm force on the Beaufort Scale. The Beaufort Scale is a widely used international classification that rates sea conditions from 0 (calm) to 12 (hurricane). We report on estimated wind speeds broken down to:
- gales – measure 8 on the scale, have rough sea conditions with wind speeds of approximately 62–74 km per hour and wave heights of 5.5 metres
- storms – measure 10 on the scale, have wind speeds of approximately 89–102 km per hour and wave heights of 9–11.5 metres (McDonald & Parsons, 2016).
This dataset relates to the number of days when wind speed exceeded gale force (Beaufort Scale 8) in 2015.

Layer ID 53462
Data type Grid
Resolution About 47632.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Coastal extreme waves (2008–15)

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Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

2756
11
Added
19 Oct 2016

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

Extreme wave indexes estimate the occurrence of extreme wave events in coastal and oceanic waters. Extreme wave indexes estimate the number of times a significant wave height exceeds one of three threshold values for at least 12 hours in 24 marine regions. The three wave-height thresholds are four metres, six metres, and eight metres.
This indicator estimates the exceedances of wave-height thresholds for each year from 2008 to 2015 in coastal areas.
Significant wave height is a measure of the ‘typical’ wave height in a place over a time period. It is four times the standard deviation of the water surface if, for example, you were to measure water moving up and down a jetty piling for an hour. The largest individual wave will typically have a height around twice the significant wave height.
We use three wave-height thresholds because of the regional variation in extreme wave events. In general, the north experiences less exposure to consistently strong winds, and the waves generated by them, than the south. Four-metre tall waves are considered extreme in the northern-most parts of New Zealand but are more common in the south. For the southern-most parts of New Zealand, eight-metre waves better represent extreme wave events.

Table ID 53476
Data type Table
Row count 54
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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2757
6
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

Change in farm size, 2002–16

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Creative Commons Attribution 4.0 International

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2712
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

Changes in the conservation status of indigenous marine species

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Creative Commons Attribution 3.0 New Zealand

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2701
14
Added
14 Oct 2016

This dataset was first added to MfE Data Service on 14 Oct 2016.

Marine mammals, seabirds, and shorebirds are indicator species for the state of our marine environment. A decreasing population can indicate that the ecosystem is degrading. New Zealand has a diverse range of marine species, many of which are endemic to (only breed in) New Zealand. They are apex species (near the top of the food chain) and can thrive only if their ecosystems are healthy.
This measure reports on the number of indigenous marine species that have had a genuine change in conservation status between two monitoring periods (2008–11 and 2012–14). A change in a species’ conservation status reflects a change in its risk of extinction.

Table ID 53466
Data type Table
Row count 10
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Air pollutant emissions

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Creative Commons Attribution 4.0 International

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2681
36
Added
16 Oct 2018

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

An emissions inventory provides information on the amount of key air pollutants that are released into the atmosphere for a given location over a given time period. This enables us to identify sources of pollutants. By understanding the amounts that different sources contribute, air quality can be better managed and modelled.
We evaluated emissions for five key pollutants for 2015, the most-recent year that data were readily available: particulate matter (PM) less than 10 micrometres in diameter (PM10), PM less than 2.5 micrometres in diameter (PM2.5), carbon monoxide (CO), nitrogen oxides (NOx), and sulphur dioxide (SO2), because they are the most important pollutants in New Zealand.
The grouped sources include: energy-related activities, construction dust, road dust, industrial process emissions (non-combustion), agriculture (emissions from animal housing), vegetation fires (burning agricultural residue and biomass burning), and incinerating of hazardous waste.
Only human-generated emissions were included in this emission inventory. No updated data for residential wood burning were available and was assumed to be the same as the 2013 national inventory.

Table ID 98424
Data type Table
Row count 26
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Marine non-indigenous species new to New Zealand each year (2009–2015)

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Creative Commons Attribution 3.0 New Zealand

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2700
8
Added
19 Oct 2016

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

Marine non-indigenous (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 have a negative impact on our native habitats and species and become pests. They can compete with, and prey on, indigenous species, modify natural habitats, affect marine industries or can alter ecosystem processes. The potential impact of non-indigenous species on our native habitats and species means they could threaten our cultural and natural heritage, as well as economic activities such as commercial and recreational fishing, shellfish harvesting, and aquaculture.

Table ID 53491
Data type Table
Row count 26
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Estimated annual Salvin's albatross captures in trawl and longline fisheries by fishery type (2003–14)

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Creative Commons Attribution 3.0 New Zealand

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2691
9
Added
19 Oct 2016

This dataset was first added to MfE Data Service on 19 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. We report on the risk of death from commercial fishing for 70 seabird species and subspecies.
The estimated annual seabird bycatch in trawl and longline fisheries is reported for Salvin’s albatross to illustrate effects on a threatened bird species with a very high risk of fishing-related death.
This data has been significantly revised since that reported in Environment Aotearoa 2015, with the estimated total bycatch of seabirds increasing by nearly 1400 birds (30 %) on average across the comparable years 2002/3 – 2012/13. This revision is due to an updated and more unified modelling approach being applied by the data providers. For further information about this revision please see our Marine domain 2016 webpage or Abraham and Richard (unpublished).

Table ID 53480
Data type Table
Row count 12
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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