Lake submerged plant index, 1991 - 2019

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Creative Commons Attribution 4.0 International

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2088
11
Added
06 Apr 2020

This dataset was first added to MfE Data Service on 06 Apr 2020.

The most recent assessment of ecological condition of 295 lakes in New Zealand assessed on at least one occasion between 1991 and 2019 was measured using the lake submerged plant index (LakeSPI).

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 104564
Data type Table
Row count 295
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

River water quality, heavy metals, state, 2015-2017

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Creative Commons Attribution 4.0 International

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336
8
Added
06 Apr 2020

This dataset was first added to MfE Data Service on 06 Apr 2020.

Heavy metals in river waters are an indicator of river water quality. We monitor a subset of rivers and streams in predominantly urban areas in Auckland, Wellington, and Christchurch, and look at how these values are changing over time. This indicator shows:

  • concentrations of dissolved copper and zinc measured at monitoring sites for the three-year period from 2015 to 2017
  • how these compare to the default guideline values for the protection of 95 percent of species in the Australian and New Zealand guidelines for fresh and marine water quality (ANZG, 2018)

Summary report available at www.mfe.govt.nz/publications/fresh-water/urban-riv....

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 104563
Data type Table
Row count 110
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

River water quality, heavy metals, trend, 2011-2017

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Creative Commons Attribution 4.0 International

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1401
6
Added
06 Apr 2020

This dataset was first added to MfE Data Service on 06 Apr 2020.

Heavy metals in river waters are an indicator of river water quality. We monitor a subset of rivers and streams in predominantly urban areas in Auckland, Wellington, and Christchurch, and look at how these values are changing over time. This indicator shows:

  • trends in concentrations based on measurements made at monitoring sites during the seven-year period from 2011 to 2017

Summary report available at www.mfe.govt.nz/publications/fresh-water/urban-riv....

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 104562
Data type Table
Row count 93
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Modelled lake water quality, 2013-2017

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Creative Commons Attribution 4.0 International

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2072
10
Added
06 Apr 2020

This dataset was first added to MfE Data Service on 06 Apr 2020.

This indicator reports on six measures of lake water quality based on spatially modelled data for:

  • chlorophyll-a
  • total nitrogen
  • ammoniacal nitrogen
  • total phosphorus
  • water clarity
  • trophic level index (TLI3).

For these measures we report on:

  • modelled median values for the period 2013–17
  • for selected measures, how these values compare to the National Objectives Framework (NOF) bands related to ecosystem health (MfE, 2017).

This indicator includes spatial predictions for 3,802 of 3,820 lakes in New Zealand (majority of New Zealand lakes that are larger than 1 hectare), based on measurements at 61–104 lake sites (the number of sites differs by measure).

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 104560
Data type Table
Row count 30416
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Deposited sediment in rivers, 2014 - 2019

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Creative Commons Attribution 4.0 International

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374
9
Added
06 Apr 2020

This dataset was first added to MfE Data Service on 06 Apr 2020.

This indicator measures the average percentage of streambed covered by fine sediment for areas of smooth, unbroken water in hard-bottomed, wadeable streams and rivers, at 215 sites across six regions assessed at least bi-monthly for two consecutive years between 2014 and 2019.

Summary report available at www.mfe.govt.nz/publications/fresh-water/indicator....

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 104559
Data type Table
Row count 215
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Marine litter 2018-2019

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Creative Commons Attribution 4.0 International

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3011
56
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

Marine non-indigenous species, key species, 2009 – 2018

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Creative Commons Attribution 4.0 International

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2353
2
Added
15 Oct 2019

This dataset was first added to MfE Data Service on 15 Oct 2019.

This data measures the presence and spread of selected non-indigenous species (key species) in New Zealand’s high risk ports and marinas each year. It also measures how far these key species have spread.

Many non-indigenous species arrive in New Zealand waters and have little impact or cannot survive; others establish and have a negative impact on our native habitats and species. Determining that a species has established depends on existing population data, expert taxonomist knowledge, and sites of detection. For example, species are only considered established if detected on natural or permanent artificial habitat (Seaward & Inglis, 2018). Established non-indigenous species can compete with, and prey on, indigenous species, modify natural habitats, and alter ecosystem processes. This can threaten marine biodiversity, our cultural and natural heritage, as well as economic activities, such as commercial and recreational fishing and boating, shellfish harvesting, and aquaculture.

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 104068
Data type Table
Row count 8800978
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Marine non-indigenous species, all species, all time

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Creative Commons Attribution 4.0 International

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2946
10
Added
16 Oct 2019

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

This data measures the number of detected and established non-indigenous (non-native) species new to New Zealand each year.

Many non-indigenous species arrive in New Zealand waters and have little impact or cannot survive; others establish and have a negative impact on our native habitats and species. Determining that a species has established depends on existing population data, expert taxonomist knowledge, and sites of detection. For example, species are only considered established if detected on natural or permanent artificial habitat (Seaward & Inglis, 2018). Established non-indigenous species can compete with, and prey on, indigenous species, modify natural habitats, and alter ecosystem processes. This can threaten marine biodiversity, our cultural and natural heritage, as well as economic activities, such as commercial and recreational fishing and boating, shellfish harvesting, and aquaculture.

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 104061
Data type Table
Row count 377
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Coastal and oceanic extreme waves 2008 - 2017

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

354
12
Added
16 Oct 2019

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

Extreme wave events can damage marine ecosystems and affect coastal infrastructure, ocean-based industries, and other human activities.

Changing wave characteristics can have impacts on natural systems, as most coastal and near-shore biological communities can be damaged or destroyed by extreme wave action (Ummenhofer & Mehl, 2017). In another example, extreme waves can disrupt ferries such as those crossing the Cook Strait. Sailings are often cancelled when significant wave heights exceed six metres.

It is important to report on extreme waves to gain greater insight into their frequency, particularly as sea level and storm surges are projected to increase and can compound wave effects.

In this dataset, an extreme wave event is defined as a continuous 12-hour period during which the significant wave height equals or exceeds one of three height thresholds: four, six, or eight metres.

Four-metre-tall waves are considered extreme in the northern-most parts but are more common in the south. For the southern-most parts of New Zealand, eight-metre waves better represent extreme wave events.

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 104060
Data type Table
Row count 793
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Conservation status of indigenous marine species

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Creative Commons Attribution 4.0 International

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2197
19
Added
14 Oct 2019

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

We report on the conservation status and most recent change in status of indigenous (native), resident (breeds in New Zealand) marine species that have been assessed by New Zealand Threat Classification System (NZTCS) expert panels. This includes marine mammals (dolphins, whales, seals, and sea lions), seabirds and shorebirds, sharks, rays, and chimaeras (also known as ghost sharks), and a small fraction of marine invertebrates.

Conservation status is a representation of the threat classification of resident indigenous plant and animal species. The Department of Conservation (DOC) developed the New Zealand Threat Classification System (NZTCS) to provide a national system that is similar to the International Union for Conservation of Nature and Natural Resources Red List.

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 104059
Data type Table
Row count 10942
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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