Coastal sea-level rise 1901 - 2018

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

3131
59
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

Oceanic and coastal primary productivity 1998 - 2017

797
6
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

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

1896
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
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Ocean acidification state 1998 - 2017

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

980
10
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

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

1827
14
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

Predicted reference and current streambed deposited fine sediment 2017

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

637
20
Added
13 Aug 2019

This dataset was first added to MfE Data Service on 13 Aug 2019.

This dataset reports modelled reference and current state of streambed deposited fine sediment at the REC1 stream segment scale. It provides predicted reference state from a boosted regression tree model trained on 1.) reference site data defined by land cover rules, 2.) all available deposited sediment. It also shows predicted current state trained on all available deposited sediment data.

See Clapcott & Goodwin (2017) for further information on the relevant model rules and data inputs.

Table ID 103685
Data type Table
Row count 576273
Services Web Feature Service (WFS), Catalog Service (CS-W)

Groundwater quality trends 2005–2014

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

3135
16
Added
15 Apr 2019

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

This dataset measures groundwater quality in New Zealand’s aquifers based on measurements made at monitored sites. Many factors influence the quality of our groundwater. Nitrogen, which occurs naturally in groundwater, can increase in concentrations due to agricultural and urban land use, and infrastructure such as waste treatment plants. High concentrations of nitrate-nitrogen in groundwater can affect human health and the quality of surrounding rivers and lakes that receive inflows from groundwater. Ammoniacal nitrogen can cause an undesirable smell that may make groundwater unsuitable for drinking water. Natural processes in groundwater can convert nitrate-nitrogen into ammoniacal nitrogen or other forms under some chemical conditions. Surplus phosphorus drains (leaches) into groundwater as dissolved reactive phosphorus. Too much nitrate-nitrogen, ammoniacal nitrogen, and phosphorus can lead to excessive plant and algae growth where groundwater flows into surface water. E. coli in groundwater is measured in colony forming units (cfu) and can indicate the presence of pathogens (disease-causing organisms) from animal or human faeces. The pathogens can cause illness for anyone who ingests them.

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 99856
Data type Table
Row count 448
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

National water allocation statistics 2018: RemovedHydroFrame

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

1185
14
Added
03 Jun 2019

This dataset was first added to MfE Data Service on 03 Jun 2019.

RemovedHydroFrame dataset to accompany National water allocation statistics for environmental reporting; 2018 report.

www.mfe.govt.nz/publications/fresh-water/national-...

This report updates previously published statistics on water consented to be taken from surface and groundwater sources for consumptive uses (such as irrigation or drinking water). The report focusses on the potential pressure on surface water flows from consumptive water takes. Stream flow pressure is characterised by accumulating water consented to be taken as percentage of median flow in all river reaches affected by consented takes in New Zealand.

RemovedHydroFrame contains non-consumptive hydropower information.

Table ID 102981
Data type Table
Row count 69
Services Web Feature Service (WFS), Catalog Service (CS-W)

National water allocation statistics 2018: HydroFrame

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

1104
8
Added
03 Jun 2019

This dataset was first added to MfE Data Service on 03 Jun 2019.

HydroFrame dataset to accompany National water allocation statistics for environmental reporting; 2018 report.

www.mfe.govt.nz/publications/fresh-water/national-...

This report updates previously published statistics on water consented to be taken from surface and groundwater sources for consumptive uses (such as irrigation or drinking water). The report focusses on the potential pressure on surface water flows from consumptive water takes. Stream flow pressure is characterised by accumulating water consented to be taken as percentage of median flow in all river reaches affected by consented takes in New Zealand.

HydroFrame contains consumptive hydropower information.

Table ID 102980
Data type Table
Row count 227
Services Web Feature Service (WFS), Catalog Service (CS-W)

National water allocation statistics 2018: HydroAccumlatedFrame

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

891
14
Added
03 Jun 2019

This dataset was first added to MfE Data Service on 03 Jun 2019.

HydroAccumlatedFrame dataset to accompany National water allocation statistics for environmental reporting; 2018 report.

www.mfe.govt.nz/publications/fresh-water/national-...

This report updates previously published statistics on water consented to be taken from surface and groundwater sources for consumptive uses (such as irrigation or drinking water). The report focusses on the potential pressure on surface water flows from consumptive water takes. Stream flow pressure is characterised by accumulating water consented to be taken as percentage of median flow in all river reaches affected by consented takes in New Zealand.

Data relating to: a) the influence of all non-hydroelectric consents; b) the influence all consumptive hydroelectric consents; and c) the combined influence of all consumptive consents, regardless of hydroelectric or non-hydroelectric. Please note that the upstream accumulated total for each nzsegment can appear in multiple rows; once for each FactorName.

Table ID 102979
Data type Table
Row count 182397
Services Web Feature Service (WFS), Catalog Service (CS-W)
Results 51 to 60 of 388