Conservation status of indigenous marine species

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Creative Commons Attribution 4.0 International

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149
1
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

Oceanic and coastal primary productivity 1998 - 2017

0
0
Added
16 Oct 2019

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

This indicator measures the amount of phytoplankton in ocean water around New Zealand using satellite data. Phytoplankton are microscopic algae and primary producers, meaning they enable those higher up the food web to survive. Phytoplankton growth is affected by the availability of nutrients and light, which in turn are affected by the structure of the upper water column. Large-scale changes to climate and oceanographic conditions can change the water column structure and thus lead to changes in phytoplankton growth and primary productivity. Phytoplankton growth supports marine organisms throughout the marine environment, including fish, mammals, and seabirds (Pinkerton et al, 2019). We monitor the changes in phytoplankton by measuring chl-a concentration to provide an understanding of how marine ecosystems are changing. This affects the services we rely on for economic, cultural, and recreational purposes, such as fisheries (Nixon & Buckley, 2002).

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 104058
Data type Table
Row count 10680
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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143
0
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
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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209
8
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

Ocean acidification state 1998 - 2017

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

10
0
Added
16 Oct 2019

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

Ocean acidification is the long-term decrease in the pH of our coastal waters and oceans. This indicator measures the change in pH in subantarctic surface waters at a station east of Otago from 1998 to 2017, and also the pH at selected coastal sites via the New Zealand Ocean Acidification Observing Network (NZOA-ON) from 2015 to 2017.

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 104052
Data type Table
Row count 6526
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Bycatch of protected species: Hector’s and Māui dolphins

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Creative Commons Attribution 4.0 International

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152
1
Added
16 Oct 2019

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

The South Island Hector’s and Māui dolphins are among the world’s smallest marine dolphins. Both are subspecies of the Hector’s dolphin Cephalorhynchus hectori. These coastal dolphins are endemic to New Zealand, which means that they are not found anywhere else. The Māui dolphin is found in the inshore waters of the west coast of the North Island, most often from Maunganui Bluff, north of Dargaville, to New Plymouth. The South Island Hector’s dolphin (hereafter referred to as ‘Hector’s dolphin’) is mostly found in the inshore waters around the South Island. Both subspecies are threatened with extinction: Hector’s dolphins have a population estimated at 15,000 and are classified as nationally vulnerable, while Māui dolphins have a population estimated at 63 individuals over one year old and are classified as nationally critical (Baker et al, 2019; MacKenzie & Clement, 2016; Baker et al, 2016).

Dolphins can become entangled in fishing gear used by both commercial and recreational fishers, with set nets posing a particularly high risk. The accidental capture of marine life in fishing gear is typically referred to as bycatch. Reporting the causes of death of protected species and specifically identifying the number of animals killed as a result of fishing activities helps us understand the pressures our protected marine species face from fishing.

DOC’s Hector’s and Māui dolphin incident database 1921-2018 provides data on reported deaths of Hector’s and Māui dolphins.

This indicator measures the number of reported Hector’s and Māui dolphin deaths from entanglement, categorised by type of fishing gear where possible, since 1998. The number of entanglements is compared to the total number of reported deaths.

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 103967
Data type Table
Row count 337
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Option 1 for reducing nitrogen loss

Online
Only
Licence

Creative Commons Attribution 4.0 International

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183
6
Added
20 Sep 2019

This dataset was first added to MfE Data Service on 20 Sep 2019.

This dataset shows land that would be covered by the option 1 of section 8.4 Immediate action to reduce nitrogen loss.

This web map has been developed by the Ministry for the Environment to support policy proposals in the Action for Healthy Waterways discussion document. The proposals are currently being consulted on.

It provides extra detail on Option 1 in section 8.4 of the discussion document (Immediate action to reduce nitrogen loss). The map indicates the pastoral catchments and sub-catchments specified as high-nitrate in Option 1, where regional rules are not already in place or proposed, and shows the land considered to be low-slope.

Low-slope is defined in this option as land parcels with an average slope of less than 5, 7 or 10 degrees. We are seeking feedback on the appropriate slope threshold to use.

The catchments are those with the highest 10% of nitrate levels in the MfE Environmental Reporting River Water Quality dataset found here. Catchments where the predominant sources of nitrate are non-pastoral in origin are excluded.

Under Option 1, a per-hectare cap, or threshold, for nitrogen losses will be set for each sub-catchment with similar soil type and rainfall. This threshold will be based on a ranking of nitrogen losses from farms within each sub-catchment, and could be set at the 90th percentile, or the 70th, or a point between. Feedback is sought on where this threshold should be set.

This is only one of the options being consulted on, The areas indicated are provisional and may not equate to areas included in regulation.

Layer ID 103881
Data type Vector polygon
Feature count 13564
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

Option 3 for reducing nitrogen loss

Online
Only
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Creative Commons Attribution 4.0 International

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123
9
Added
20 Sep 2019

This dataset was first added to MfE Data Service on 20 Sep 2019.

This dataset shows land that would be covered by the option 3 of section 8.4 Immediate action to reduce nitrogen loss.

This dataset has been developed by the Ministry for the Environment to support policy proposals in the Action for Healthy Waterways discussion document.  These proposals are currently being consulted on.

The map provides extra detail on Option 3 in section 8.4: Immediate action to reduce nitrogen loss, of the discussion document.  The map indicates the high-nitrate catchments and sub-catchments that could be included under Option 3. These catchments have the highest 10% of nitrate levels in the MfE Environmental Reporting River Water Quality dataset which can be found here.  The catchments are further restricted to regions that do not have rules already in place or proposed. Catchments where the predominant sources of nitrate are not pastoral or horticultural in origin have been excluded.

Under this option, farmers in these catchments would have to show, in the freshwater module in their farm plan, how they will rapidly reduce nutrient leaching. Progress against the plan would be monitored by independent auditors and the regional council could take enforcement action if required.

This is only one of the options being consulted on. The areas indicated are provisional and may not equate to areas included in a regulation.

Layer ID 103879
Data type Vector polygon
Feature count 17
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

Erosion modelling to support proposed sediment attribute impact testing 2019

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Creative Commons Attribution 4.0 International

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400
16
Added
05 Sep 2019

This dataset was first added to MfE Data Service on 05 Sep 2019.

This dataset reports erosion modelling results regarding annual mean sediment load reductions required to meet proposed suspended sediment attribute bottom lines. For more detail on the modelling process and methods, see Neverman et al. (2019). Impact testing of a proposed suspended sediment attribute: identifying erosion and sediment control mitigations to meet proposed sediment attribute bottom lines and the costs and benefits of those mitigations. Maanaki Whenua Landcare Research Client Report. Prepared for the Ministry for the Environment.

Results of modelled mitigations are reported at catchment scale and at the REC2 river reach scale. The modelled on-farm mitigations (per economic optimisation as reported in Neverman et al. (2019) are also mapped.

Layer ID 103850
Data type Vector multipolygon
Feature count 585
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

MfE Low-slope extent 2019

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Creative Commons Attribution 4.0 International

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1122
36
Added
01 Sep 2019

This dataset was first added to MfE Data Service on 01 Sep 2019.

This dataset shows land parcels within grassland and annual cropping areas which have an average slope of less than 10 degrees. Polygons are attributed into 3 slope classes: less than 5 degrees mean slope; 5 - 7 degrees mean slope; 7 - 10 degrees mean slope.

Layer ID 103847
Data type Vector multipolygon
Feature count 589664
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)
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