Commercial catch for sharks and rays

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Creative Commons Attribution 3.0 New Zealand

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3391
27
Added
24 Oct 2016

This dataset was first added to MfE Data Service on 24 Oct 2016.

New Zealand waters have at least 117 species of chondrichthyans (sharks, rays, and other cartilaginous fish species). They are particularly vulnerable to overfishing because they are long-lived, mature slowly, and have a low reproductive rate. Chondrichthyans are important for healthy ocean ecosystems, and reporting their commercial catch and bycatch helps us understand the sustainability of our fisheries.

Table ID 53508
Data type Table
Row count 453
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Seamount closures

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Creative Commons Attribution 3.0 New Zealand

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5739
21
Added
11 Jan 2016

This dataset was first added to MfE Data Service on 11 Jan 2016.

The location and extent of seamount closures designated in the exclusive economic zone.

Layer ID 52761
Data type Vector multipolygon
Feature count 17
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Conservation status of marine mammals

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Creative Commons Attribution 3.0 New Zealand

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3482
26
Added
19 Oct 2016

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

New Zealand has a diverse range of marine mammal species and subspecies, including whales, dolphins, seals, and sea lions. Marine mammals are indicator species for the state of our marine environment. The conservation status of a species relates to its risk of extinction.
Many of these species are endemic (only found in) to New Zealand. They are apex species (near the top of the food chain) and can thrive only if their ecosystems are healthy. A decreasing population can indicate that the ecosystem is degrading. Marine mammals played an important part in New Zealand history; in the past whales and seals were hunted in great numbers. Now we have a rapidly-growing whale- and dolphin-watching industry.

Table ID 53481
Data type Table
Row count 29
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Long-term average chlorophyll-a concentration, 1997–2014

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Creative Commons Attribution 3.0 New Zealand

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3311
19
Added
08 Feb 2016

This dataset was first added to MfE Data Service on 08 Feb 2016.

The average concentration of chlorophyll-a (chl-a) in phytoplankton over the period 1997–2014.
Concentrations of chl-a in phytoplankton are used to assess primary productivity in our oceans. Phytoplankton are primary producers of biomass and form the basis of the oceans’ food chains.

Layer ID 52826
Data type Grid
Resolution 5000.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Mineral Coal Open newly available acreage

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Creative Commons Attribution 3.0 New Zealand

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5448
8
Added
11 Jan 2016

This dataset was first added to MfE Data Service on 11 Jan 2016.

The location and extent of Newly Available Acreage (NAA) in the territorial sea and the exclusive economic zone

Layer ID 52752
Data type Vector multipolygon
Feature count 8
Services Vector Query API, 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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3754
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

Coastal extreme waves (2008–15)

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Creative Commons Attribution 3.0 New Zealand

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3582
12
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

Annual ground and sea lightning strikes (2001–14)

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Creative Commons Attribution 3.0 New Zealand

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3515
16
Added
01 Oct 2015

This dataset was first added to MfE Data Service on 01 Oct 2015.

Lightning is the discharge of electricity from thunderstorms. Ground strikes can cause significant damage to property and infrastructure, and injure or kill people and livestock. Lightning is often associated with other severe weather events, such as strong wind gusts. Thunderstorms may increase in frequency and intensity with climate change.
This dataset relates to the "Lightning" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52587
Data type Table
Row count 15
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Soil health and land use - Soil sites within target range for given soil health indicators, by land use, 2009-13

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Creative Commons Attribution 3.0 New Zealand

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4278
42
Updated
21 Apr 2017

This dataset was last updated on MfE Data Service on 21 Apr 2017.

UPDATED 21/04/2017
(See "Land domain updates" page for details; www.stats.govt.nz/browse_for_stats/environment/env...)

Different land uses put pressure on the land environment and can result in changes to soil health. Healthy soil supports the productivity of agriculture and forestry, and filters water to help prevent waterways becoming contaminated. Soils are considered healthy if they fall within the target ranges for the indicators of acidity, fertility, organic reserves, and physical status.

This dataset relates to the "Soil health and land use" measure on the Environmental Indicators, Te taiao Aotearoa website.

For raw data see "2015 land aotearoa soil health data for release.xlsx" at data.mfe.govt.nz/x/LTBnRL

Table ID 52495
Data type Table
Row count 16
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Cumulative occupancy of key non-indigenous species by species (2009–2015)

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Creative Commons Attribution 3.0 New Zealand

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3517
15
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 53492
Data type Table
Row count 56
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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