Marine litter 2018-2019

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Creative Commons Attribution 4.0 International

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6400
121
Added
16 Oct 2019

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

These data provide a snap shot of beach litter surveys submitted by Citizen Scientist ‘Monitoring Groups’ up to April, 2019. As defined by the United Nations Environment Programme (UNEP, 2009), marine litter is any persistent, manufactured or processed solid material discarded, disposed of, abandoned or lost in the marine and coastal environment. Marine litter washed onto beaches is one of the most obvious signs of marine pollution, and can have either land or sea-based origins. Land-based sources of marine litter include input from rivers, sewage and storm water outflows, tourism and recreation, illegal dumping, and waste disposal sites. Sea-based sources include commercial shipping, fisheries and aquaculture activities, recreational boating and offshore installations.

UNEP, 2009. Marine Litter: A Global Challenge. Nairobi: UNEP. 232 pp.

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 104071
Data type Table
Row count 984
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Ocean acidification, Munida, state 1998 - 2020

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Creative Commons Attribution 4.0 International

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713
3
Added
18 Aug 2022

This dataset was first added to MfE Data Service on 18 Aug 2022.

Adapted by Ministry for the Environment and Stats NZ to provide for environmental reporting transparency. Dataset used to develop the "Ocean acidification" indicator (available at  www.stats.govt.nz/indicators/ocean-acidification).

This data set measures the change in pH in subantarctic surface waters at a station east of Otago from 1998 to 2020.

Ocean acidification describes the long-term decrease in the pH of our oceans and coastal waters. This indicator measures:

  • change in pH, acidity and pCO2 (a measure of dissolved carbon dioxide) in New Zealand’s subantarctic surface waters (Munida Transect) from 1998 to 2020.

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 110170
Data type Table
Row count 1088
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Ocean acidification, New Zealand Ocean Acidification Observing Network, state, 2015 - 2021

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Creative Commons Attribution 4.0 International

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696
5
Added
18 Aug 2022

This dataset was first added to MfE Data Service on 18 Aug 2022.

Adapted by Ministry for the Environment and Stats NZ to provide for environmental reporting transparency. Dataset used to develop the "Ocean acidification" indicator (available at  www.stats.govt.nz/indicators/ocean-acidification).

This data set measures the pH at selected coastal sites via the New Zealand Ocean Acidification Observing Network (NZOA-ON) from 2015 to 2021.

Ocean acidification describes the long-term decrease in the pH of our oceans and coastal waters. This indicator measures:

  • pH at selected coastal sites (New Zealand Ocean Acidification Observing Network, NZOA-ON) from 2015 to 2021.

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 110171
Data type Table
Row count 15588
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Coastal sea-level rise 1901 - 2018

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Creative Commons Attribution 4.0 International

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5653
106
Added
14 Oct 2019

This dataset was first added to MfE Data Service on 14 Oct 2019.

This indicator measures the rise in annual mean coastal sea level relative to land. The national mean is derived from four long-term monitoring locations across New Zealand: Auckland, Wellington, Dunedin and Lyttelton. We also report the trends over time, from the beginning of our records until 2018. Relative sea-level rise includes the vertical land movement of the surrounding area (for example, a sinking landmass increases the rise in ocean sea level).

We report the change in annual mean coastal sea level to 2018 against the established baseline (mean sea level for 1986–2005) for the long-term sites plus an additional two sites: Moturiki (Mount Maunganui) and New Plymouth. These are not included in the national mean due to shorter records. We also measure the national annual sea-level rise for two time periods: the start of the records to 1960, and 1961–2018.

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 104055
Data type Table
Row count 524
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

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

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Creative Commons Attribution 3.0 New Zealand

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11673
39
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 coastal 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 coastal regions.

Layer ID 53502
Data type Vector multipolygon
Feature count 144
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Marine Reserves

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Creative Commons Attribution 3.0 New Zealand

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12889
270
Added
11 Jan 2016

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

The location and extent of Marine reserves (type 1 marine protected areas) in the territorial sea.

Layer ID 52760
Data type Vector multipolygon
Feature count 44
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Benthic protection areas (2016 report)

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Creative Commons Attribution 3.0 New Zealand

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14770
94
Added
19 Oct 2016

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

New Zealand’s four million km2 marine environment is diverse, with a range of coastal habitats and offshore seabed environments. There are also many marine species unique to New Zealand. Marine protected areas conserve or manage some of these unique habitats and species, while a range of other tools also provide marine protection. We report on the area covered by these tools as an indirect measure to understand the state of the marine environment.
Benthic protection areas (protected seabed areas) are one of the marine protection tools used. They are designated areas in the exclusive economic zone, which extends from the 12 nautical mile seaward limit of the territorial sea to the 200 nautical mile limit. Bethnic protection areas protect seabed habitats through the prohibition of bottom trawling and dredging. There are some areas where seamount closures overlap with benthic protection areas. In these cases the seamount closure restrictions apply.
Note that the thumbnail preview of this spatial data does not reflect the data underlying it. Please see the methodology for a more reflective preview.

Layer ID 53494
Data type Vector multipolygon
Feature count 17
Services Vector Query API, Web Feature Service (WFS), 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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7810
42
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

BOMEC_15_Class_region

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Creative Commons Attribution 3.0 New Zealand

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21175
75
Updated
03 Jul 2018

This dataset was last updated on MfE Data Service on 03 Jul 2018.

The 15 class Benthic-Optimised Marine Environment Classification (BOMEC). The BOMEC divides the benthic environment into ecosystem types. These are grouped into three inshore groups, three continental shelf groups, and nine deeper-water groups. Each group represents areas with similar environmental variables, such as depth, temperature, salinity, and suspended sediment. The classification system considers the distributions of eight benthic taxonomic groups: asteroids, bryozoans, benthic foraminiferans, octocorals, polychaetes, matrix-forming scleratinian corals, sponges, and benthic fish.

Layer ID 52748
Data type Vector multipolygon
Feature count 15
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Coastal sea level rise, 1891–2015

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Creative Commons Attribution 4.0 International

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9597
149
Added
14 Oct 2017

This dataset was first added to MfE Data Service on 14 Oct 2017.

Sea-level rise is a consequence of climate change. Increased global temperatures lead to rising sea-levels because warmer waters take up more space and glaciers and polar ice sheets melt into the ocean. Sea-level varies naturally from place to place due to local ocean circulation and temperatures and the movement of the land relative to the sea. For example, earthquakes can lift or drop the land.
Linear trends were provided by NIWA and Emeritus Professor John Hannah (previously University of Otago). Ideally, linear trends in sea level would be reported if there are at least 50 years of data to account for climate variability from climate oscillations such as the 20–30 year Interdecadal Pacific Oscillation (IPO) and the shorter ENSO cycle. Such climate variability can be seen in the increase in annual mean sea level in 1999–2000, when the IPO across the entire Pacific Ocean changed to a negative phase. While the Moturiki data cover 43 years, it was considered appropriate to apply a linear trend to further extend the number of reported sites. Further detail on the data processing (including adjustments for historic datum changes) and methods used for the trend analysis can be found in Hannah (1990), Hannah (2004), and Hannah and Bell (2012).
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 89454
Data type Table
Row count 533
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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