WQ PredictionsDF REC2 29November 2018

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178
4
Added
15 Apr 2019

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

Document ID21921
File namewq-predictionsdf-rec2-29november-2018.csv
TypeCSV
Size195 MB

Winter rainfall trends, 1960–2016

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Creative Commons Attribution 4.0 International

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4002
25
Added
12 Oct 2017

This dataset was first added to MfE Data Service on 12 Oct 2017.

Winter rainfall trends for 30 representative sites from 1960–2016.
Rain is vital for life – it supplies the water we need to drink and to grow our food, keeps our ecosystems healthy, and supplies our electricity. New Zealand’s mountainous terrain and location in the roaring forties mean rainfall varies across the country. Changes in rainfall amount or timing can significantly affect agriculture, energy, recreation, and the environment. For example, an increase or decrease of rainfall in spring can have marked effects on crops or fish populations.
Trend direction was assessed using the Theil-Sen estimator and the Two One-Sided Test (TOST) for equivalence at the 95% confidence level.
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 89405
Data type Table
Row count 30
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Wildfire risk, 1997 - 2019, trend

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Creative Commons Attribution 4.0 International

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14
0
Added
14 Oct 2020

This dataset was first added to MfE Data Service on 14 Oct 2020.

DATA SOURCE: National Institute for Water and Atmospheric Research (NIWA)
[Technical report available at www.mfe.govt.nz/publications/environmental-reporti... and www.mfe.govt.nz/publications/environmental-reporti...]

Adapted by Ministry for the Environment and Statistics New Zealand to provide for environmental reporting transparency

Dataset used to develop the "Wildfire indicator [available at www.stats.govt.nz/indicators/wildfire-risk]

This indicator measures fire danger using the New Zealand Fire Danger Rating at 30 sites around New Zealand from 1997 to 2019, although not all sites start at 1997. We report on the number of days per year with ‘very high and extreme’ (VH+E) fire danger for each of these sites, and trends over time.

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 105047
Data type Table
Row count 56
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Wildfire risk, 1997 - 2019, state

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Creative Commons Attribution 4.0 International

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0
0
Added
14 Oct 2020

This dataset was first added to MfE Data Service on 14 Oct 2020.

DATA SOURCE: National Institute for Water and Atmospheric Research (NIWA)
[Technical report available at www.mfe.govt.nz/publications/environmental-reporti... and www.mfe.govt.nz/publications/environmental-reporti...]

Adapted by Ministry for the Environment and Statistics New Zealand to provide for environmental reporting transparency

Dataset used to develop the "Wildfire indicator [available at www.stats.govt.nz/indicators/wildfire-risk]

This indicator measures fire danger using the New Zealand Fire Danger Rating at 30 sites around New Zealand from 1997 to 2019, although not all sites start at 1997. We report on the number of days per year with ‘very high and extreme’ (VH+E) fire danger for each of these sites.

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 105046
Data type Table
Row count 17280
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Wetland extent, 2001-16

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Creative Commons Attribution 4.0 International

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8410
226
Added
16 Apr 2018

This dataset was first added to MfE Data Service on 16 Apr 2018.

Wetlands support high levels of biodiversity. They provide habitat for native invertebrates, plants, fish, and bird species (eg fernbird, kōkopu, and eels), many of which live only in wetlands. Wetlands act as ‘kidneys’ and giant sponges – they clean the water of excess nutrients and sediment, control flood water and pollutants, and act as carbon sinks (removing carbon dioxide from the atmosphere). Wetlands have strong cultural and spiritual importance for Māori. They are a food source (eg eel, whitebait) and provide material for weaving (eg raupō, harakeke (flax)). Draining wetlands for agricultural and urban development over the past 150 years has led to significant wetland loss and deterioration.

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

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.

Layer ID 95347
Data type Vector multipolygon
Feature count 14632
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Water quality trends, 2009-13

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Creative Commons Attribution 3.0

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131
1
Added
18 Feb 2016

This item was first added to MfE Data Service on 18 Feb 2016

2
Document ID11894
File namewater-quality-trends-2009-13.pdf
TypePDF
Size187 KB

Water quality trends 2009 13

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Creative Commons Attribution 3.0 New Zealand

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284
22
Added
29 Feb 2016

This item was first added to MfE Data Service on 29 Feb 2016

2
Document ID12621
File namewater-quality-trends-2009-13.pdf
TypePDF
Size187 KB

Water quality parameters in coastal and estuarine environments (2013)

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Creative Commons Attribution-NonCommercial-NoDerivs 3.0 New Zealand

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4882
79
Added
28 Sep 2015

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

Coastal and estuarine ecosystems are affected by changes in the levels of nutrients, oxygen, and light. An overload of nutrients can be toxic or lead to algal blooms. These blooms can kill marine life by depleting oxygen levels. Suspended sediment can smother habitats or reduce light levels, affecting photosynthesis. We report on five measures of water quality: turbidity (murkiness), dissolved oxygen, and the dissolved nutrients nitrate- and nitrite-nitrogen, ammoniacal nitrogen, and total phosphorus.
This dataset relates to the "Coastal and estuarine water quality" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52508
Data type Table
Row count 1623
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Water quality for swimming: Scenario 1

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Creative Commons Attribution 4.0 International

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830
17
Added
10 Oct 2018

This dataset was first added to MfE Data Service on 10 Oct 2018.

This dataset relates to the March 2018 report National E. coli modelling - Supplementary material to support setting draft regional targets for swimmable rivers.

Scenario 1 represents the level of stock exclusion and riparian planting for the nominal year 2030
when the CWP rules have been implemented assuming that the effects of the measures have been realised and water quality has attained a new attribute state. Scenario 1 also includes the impact of regional committed work (that is, work already committed to by councils in their policy plans, or planned infrastructure investment) in regions that have committed to mitigation beyond the CWP.

The geometries are based off REC1, and the field 'Swimability_band' defines the modelled E. coli attribute state NPS-FM human health for recreation value. The rest of the fields come from the River Environment Classification.

Layer ID 98359
Data type Vector multilinestring
Feature count 73336
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

Water quality for swimming: Scenario 0

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

762
21
Added
10 Oct 2018

This dataset was first added to MfE Data Service on 10 Oct 2018.

This dataset relates to the March 2018 report National E. coli modelling - Supplementary material to support setting draft regional targets for swimmable rivers.

It represents Scenario 0, baseline (i.e. 2017) including the current level of on-farm fencing and land use - further details available in the above report.

The geometries are based off REC1, and the field 'Swimability_band' defines the modelled E. coli attribute state NPS-FM human health for recreation value. The rest of the fields come from the River Environment Classification.

Layer ID 98358
Data type Vector multilinestring
Feature count 73336
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)
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