Marine litter 2018-2019

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Creative Commons Attribution 4.0 International

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2384
31
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

Conservation status of marine mammals

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Creative Commons Attribution 3.0 New Zealand

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4742
35
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

Marine economy 2007 - 2017

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Creative Commons Attribution 4.0 International

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1160
10
Added
16 Oct 2019

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

The marine economy shows the contribution marine-based economic activities make to the New Zealand economy as measured by gross domestic product (GDP). Measuring the marine economy shows how New Zealand’s marine environment is used to generate economic activity and how this changes over time. However, these activities can be a source of pressure on New Zealand’s marine environment.

Estimates of the marine economy are often used globally as an indicator of the marine environment’s societal and economic importance (Kildow & McIlgorm, 2010; Suris-Regueiro et al, 2013).

This indicator measures the contribution of marine-related industries to New Zealand’s marine economy. Currently measurable activity categories are:

·         offshore minerals
·         shipping
·         fisheries and aquaculture
·         marine services
·         marine tourism and recreation
·         government and defence.

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 104057
Data type Table
Row count 429
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Ocean acidification, 1998–2016

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Creative Commons Attribution 4.0 International

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6797
64
Added
14 Oct 2017

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

The pH of New Zealand subantarctic waters is calculated from pCO2 (dissolved carbon dioxide) and alkalinity measurements using refitted Mehrbach constants (see Mehrbach et al, 1973; Dickson & Millero, 1987), and in-situ temperature taken from the Munida time-series transect off the Otago coast. Measurements of pCO2 are taken every two months.
The Munida transect, in the subantarctic waters off Otago, is the Southern Hemisphere’s longest-running record of pH measurements (NIWA, 2015).
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 89461
Data type Table
Row count 660
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Coastal sea level rise, 1891–2015

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Creative Commons Attribution 4.0 International

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6306
113
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

Shark catch use (2003–2015)

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Creative Commons Attribution 3.0 New Zealand

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4919
37
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
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Mean, maximum and minimum coastal sea surface temperature (1953–2014)

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Creative Commons Attribution 3.0 New Zealand

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6558
88
Added
28 Sep 2015

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

Coastal sea-surface temperature is influenced by solar heating and cooling, latitude, and local geography. It is hard for some marine species to survive when the sea temperature changes. This can affect marine ecosystems and processes. It can also affect fish-farming industries based in our coastal areas.
This dataset relates to the "Coastal sea-surface temperature" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52524
Data type Table
Row count 33
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Annual mean sea level (relative to land) (1900–2013)

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Creative Commons Attribution 3.0 New Zealand

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6895
178
Added
28 Sep 2015

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

Sea-level rise is a consequence of climate change. Increases in global temperature cause ocean waters to expand, and glaciers and ice sheets to melt into oceans. Sea-level rise affects estuaries, coastal wetlands, and intertidal and sub-tidal habitats and species. The increased likelihood of coastal erosion from sea-level rise presents a risk for seaside communities and their infrastructure, and for the marine environment itself, from increased suspended sediments.
This dataset relates to the "Coastal sea-level rise" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52523
Data type Table
Row count 575
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Most common habitat type in coastal waters (2011)

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Creative Commons Attribution 3.0 New Zealand

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4336
35
Added
28 Sep 2015

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

New Zealand has a diverse coastline, which spans 15,000 km. Reporting on our coastal seabed (benthic) habitats provides important contextual information on the state of the marine domain.
This dataset relates to the "Coastal habitats" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52517
Data type Table
Row count 23
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Heavy metals in coastal and estuarine sediment 2009 and 2012–2018

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Creative Commons Attribution 4.0 International

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3175
10
Added
16 Apr 2019

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

This indicator measures the concentrations of four heavy metals (lead, copper, zinc and cadmium) against the Australian & New Zealand Environment and Conservation Council (ANZECC) guideline values for toxic substances in estuarine sediment.

Heavy metals occur naturally in estuaries, but high concentrations suggest contamination from another source. The metals can be transported along waterways from urban environments (and, for cadmium, from farmland) and accumulate in estuarine and coastal sediments. Heavy metals are toxic although some such as copper and zinc are classed as micro-nutrients at very low concentrations. They accumulate in sediment, where they can be taken up by organisms, and are harmful to species and habitats. They also bio-accumulate (are found in higher concentrations in species further up the food chain).

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 99880
Data type Table
Row count 4852
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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