Number of extreme wave events exceeding 8m in oceanic regions, 2008–15

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Creative Commons Attribution 3.0 New Zealand

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3929
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 a wave-height threshold for each year from 2008 to 2015 in oceanic regions.
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.
This dataset relates to the number of extreme wave events exceeding the eight metre threshold in oceanic regions.

Layer ID 53505
Data type Vector multipolygon
Feature count 48
Services Vector Query API, 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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3691
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

Average annual chlorophyll-a concentration, 2014

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Creative Commons Attribution 3.0 New Zealand

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3846
17
Added
09 Feb 2016

This dataset was first added to MfE Data Service on 09 Feb 2016.

"The average concentration of chlorophyll-a (chl-a) in phytoplankton for 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 52828
Data type Grid
Resolution 5000.000m
Services Raster Query API, 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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3626
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

Soil health and land use - Soil health tests within target range, by land use, 2009-13

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Creative Commons Attribution 3.0 New Zealand

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3654
31
Updated
20 Apr 2017

This dataset was last updated on MfE Data Service on 20 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 52550
Data type Table
Row count 4
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Land Environments New Zealand (LENZ) - Level 4 Grid (2009)

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Creative Commons Attribution 3.0 New Zealand

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3832
40
Added
23 Dec 2013

This dataset was first added to MfE Data Service on 23 Dec 2013.

Land Environments of New Zealand (LENZ) is a classification of fifteen climate, landform, and soil variables chosen for their relevance to biological distributions. Classification groups were derived by automatic classification using a multivariate procedure. Four levels of classification detail have been produced from this analysis, containing 20, 100, 200, and 500 groups respectively.
More information is available from the LENZ web site:
www.landcareresearch.co.nz/databases/lenz/

Layer ID 51801
Data type Grid
Resolution 25.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Seafood export values (2007–14)

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Creative Commons Attribution 3.0 New Zealand

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3543
22
Added
28 Sep 2015

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

New Zealand’s fisheries and aquaculture sector is an important primary industry. It provides New Zealanders with food, economic returns, and employment. Reporting on the value of this industry helps us to understand the marine economy.
This dataset relates to the "Value of fisheries and aquaculture" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52526
Data type Table
Row count 13
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Lightning strike density, 2000–14

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Creative Commons Attribution 3.0 New Zealand

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3615
26
Added
10 Feb 2016

This dataset was first added to MfE Data Service on 10 Feb 2016.

Lightning is the discharge of electricity, from thunderstorms, that equalises areas of positive and negative charge, for example, between a storm cloud and the ground. Thunderstorms form as a result of rapidly rising air with a high moisture content (humidity). On average, 1 in 10 lightning discharges strikes the ground (or sea) (Metservice, 2015). Lightning (and therefore thunderstorms) are also often associated with other severe weather events, such as strong wind gusts, and in extreme cases tornadoes.

By international standards, lightning does not occur frequently around New Zealand. However, thunderstorms, and thus lightning, can cause injury and damage (Ministry of Civil Defence and Emergency Management, 2010), and may increase in frequency and intensity with climate change (Mullen et. al., 2011).

This data shows the average annual number of lightning strikes per 25km square.

This dataset relates to the "Lightning" measure on the Environmental Indicators, Te taiao Aotearoa website.

Geometry: grid/point

Unit: strikes/25km2/year

Further information can be found in:

MetService (nd). Lightning observation services. Accessed 3 June 2015 from www.metservice.com.

Ministry of Civil Defence and Emergency Management (2010). Thunderstorms. Working from the same page: Consistent messages for CDEM (p3). Available from www.civildefence.govt.nz.

Mullan, B, Carey-Smith, T, Griffiths, G, & Sood, A (2011). Scenarios of storminess and regional wind extremes under climate change. NIWA Client Report: WLG2010-31 (pvii). Available from www.niwa.co.nz.

Layer ID 52851
Data type Grid
Resolution 5000.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Shark catch use (2003–2015)

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Creative Commons Attribution 3.0 New Zealand

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3668
33
Added
19 Oct 2016

This dataset was first added to MfE Data Service on 19 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 53482
Data type Table
Row count 52
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Hector’s and Māui dolphin deaths (1921–2015)

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Creative Commons Attribution 3.0 New Zealand

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3636
36
Added
19 Oct 2016

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

The Hector’s and Māui dolphins are subspecies of the small dolphin Cephalorhynchus hectori. These coastal dolphins are endemic to New Zealand (not found anywhere else). Māui dolphins are found on the west coast of the North Island, most often between Maunganui Bluff, north of Dargaville, and New Plymouth. Hector’s dolphins are mostly found around the South Island. Both subspecies are threatened with extinction. The Hector’s dolphin is classified as nationally endangered, while the Māui dolphin is nationally critical. Dolphins can become entangled in fishing gear used by both commercial and recreational fishers, with set nets posing a particularly high risk. Reporting the bycatch of protected species helps us understand the pressures our protected marine species face from fishing.
We report on two aspects of Hector’s and Māui dolphin deaths based on data extracted from the Department of Conservation (DOC) Incident Database for 1921–2015: the number of dolphin deaths by cause of death, including a comparison of deaths over 1996–2015; and the number of dolphin deaths from entanglement by type of fishing gear.

Table ID 53475
Data type Table
Row count 561
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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