Ocean storms (1979–2015)

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Creative Commons Attribution 3.0 New Zealand

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2608
18
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)

Table ID 53465
Data type Table
Row count 74
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Oceanic and coastal primary productivity 1998 - 2017

10
1
Added
16 Oct 2019

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

This indicator measures the amount of phytoplankton in ocean water around New Zealand using satellite data. Phytoplankton are microscopic algae and primary producers, meaning they enable those higher up the food web to survive. Phytoplankton growth is affected by the availability of nutrients and light, which in turn are affected by the structure of the upper water column. Large-scale changes to climate and oceanographic conditions can change the water column structure and thus lead to changes in phytoplankton growth and primary productivity. Phytoplankton growth supports marine organisms throughout the marine environment, including fish, mammals, and seabirds (Pinkerton et al, 2019). We monitor the changes in phytoplankton by measuring chl-a concentration to provide an understanding of how marine ecosystems are changing. This affects the services we rely on for economic, cultural, and recreational purposes, such as fisheries (Nixon & Buckley, 2002).

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 104058
Data type Table
Row count 10680
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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3228
9
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

Performance of assessed fish stock in relation to the hard limit (2009–15)

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Creative Commons Attribution 3.0 New Zealand

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3509
23
Added
14 Oct 2016

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

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).

Table ID 53469
Data type Table
Row count 14
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Performance of assessed fish stock in relation to the overfishing threshold (2009–15)

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Creative Commons Attribution 3.0 New Zealand

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3707
38
Added
14 Oct 2016

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

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).

Table ID 53468
Data type Table
Row count 14
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Performance of assessed fish stock in relation to the soft limit (2009–15)

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Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

3428
22
Added
14 Oct 2016

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

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).

Table ID 53467
Data type Table
Row count 14
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Primary productivity - chlorophyll-a anomalies (1997–2014)

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Creative Commons Attribution 3.0 New Zealand

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3229
20
Added
28 Sep 2015

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

Phytoplankton are primary producers and form the basis of the oceans’ food chains. They contain the pigment chlorophyll-a (chl-a), which they use to create their own food through photosynthesis. We study concentrations of chl-a in phytoplankton to assess primary productivity in our oceans. Changes in productivity are likely to affect food chains and ultimately affect marine biodiversity, including the species we rely on for economic, cultural, or recreational purposes.
This dataset relates to the "Primary productivity" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52520
Data type Table
Row count 2080
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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3708
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

Sea-bird 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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3297
19
Added
28 Sep 2015

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

Along with sea lions, fur seals, and dolphins, seabirds are the protected species most directly affected by fisheries in New Zealand waters. Reporting on the risk of threatened and at-risk seabirds dying as a result of fishing activities each year is one way of assessing the pressure some seabird species face from current fishing practices.
This dataset relates to the "Bycatch of protected species: seabirds" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52501
Data type Table
Row count 113
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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3211
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
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