Highly erodible land 2012 South Island

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Creative Commons Attribution 4.0 International

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5477
48
Added
17 Apr 2019

This dataset was first added to MfE Data Service on 17 Apr 2019.

This metadata record describes an image of land predicted to be at risk of severe mass movement erosion for the South Island. The image was produced using the Highly Erodible Land model that identifies land at risk to the main forms of mass-movement soil erosion in New Zealand: landsliding, gullying, or earthflow erosion. If the land has protective woody vegetation, then it is not at risk (Dymond et al., 2006). The Highly Erodible Land model identifies five classes of land at risk of erosion: (1) High landslide risk – delivery to stream; (2) high landslide risk – non-delivery to steam; (3) Moderate earthflow risk; (4) Severe earthflow risk; and (5) Gully risk. Landsliding occurs on steep slopes where the soils do not have protective tree roots. The slope angle at which land is considered at risk to landsliding depends on rock strength. Where land is steeper than this slope threshold and does not have woody vegetation, it is considered at risk to landsliding. There is no slope threshold for land at risk to gullying or earthflow erosion. Where land is at risk to gullying or earthflow erosion and does not have woody vegetation, it is considered at risk. The different types of mass-movement soil erosion are not ranked in severity, except for earthflow risk which has extreme and moderate classes of risk. Use: These data provide a regional perspective on land at risk of soil erosion.

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 99896
Data type Multi-attribute Grid
Resolution 15.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Nitrate leaching from livestock 2017 data quality

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Creative Commons Attribution 4.0 International

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480
33
Added
17 Apr 2019

This item was first added to MfE Data Service on 17 Apr 2019

2
Document ID21962
File namenitrate-leaching-from-livestock-2017-data-quality.pdf
TypePDF
Size357 KB

Coastal water quality trends ten_years REVISED

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Creative Commons Attribution 4.0 International

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345
8
Added
16 Apr 2019

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

85

Coastal and estuarine water quality trends (concentration versus time) over a twelve year time period

Document ID21955
File namecoastal-water-quality-trends-ten_years-revised.pdf
TypePDF
Size3.91 MB

RiverQ ecoli modelled mcdowell meet clean

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Creative Commons Attribution 4.0 International

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435
6
Added
16 Apr 2019

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

Document ID21922
File nameriverq-ecoli-modelled-mcdowell-meet-clean.csv
TypeCSV
Size57.4 MB

WQ PredictionsDF REC2 29November 2018

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Creative Commons Attribution 4.0 International

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400
5
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

Data quality for nitrogen dioxide concentrations New Zealand Transport Agency data 201016

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Creative Commons Attribution 4.0 International

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475
15
Added
17 Oct 2018

This item was first added to MfE Data Service on 17 Oct 2018

3
Document ID21762
File namedata-quality-for-nitrogen-dioxide-concentrations-new-zealand-transport-agency-data-201016.pdf
TypePDF
Size514 KB

Lake Water Quality for Swimming Categories [Raw Model Output]

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Creative Commons Attribution 4.0 International

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1363
7
Added
27 Jun 2018

This dataset was first added to MfE Data Service on 27 Jun 2018.

Water quality for swimming categories for lakes with perimeters over 1.5 km. This dataset was used to compose the current state for water quality for swimming.

Note this data is under review and will be updated in due course. This information is based on modelled and measured data using the approach outlined at
www.mfe.govt.nz/fresh-water/freshwater-management-...

The modelling methods used are outlined in Snelder et al. (2016) Strategic assessment of New Zealand’s freshwaters for recreational use: a human health perspective. LWP Client Report 2016-011 www.mfe.govt.nz/publications/fresh-water/strategic...

Versions

This dataset is the geometric version of this: data.mfe.govt.nz/table/53620-river-water-quality-f...

This dataset has now been superseded due to consultation with local authorities, and this is the latest version: data.mfe.govt.nz/layer/95555-river-water-quality-f...

Column headings:

LID: FENZ Lake ID

Name: Name of lake (where available

RC: Regional council name

CHLA: Chlorophyll a (mg/L)

SECCHI: Secchi disc depth (m)

TLI3: Trophic Level Index (unitless)

TN: Total nitrogen (mg/m3)

TP: Total phosphorus (mg/m3)

CyanBVl: Cyanobacterial biovolume (mm3/L)

Cy_cat: Water quality for swimming category see www.mfe.govt.nz/fresh-water/what-government-doing/...

Note: blank cells are reaches where a prediction was not possible because of missing predictor variables.

Layer ID 95561
Data type Vector multipolygon
Feature count 3801
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

BOMEC_15_Class_region

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Creative Commons Attribution 3.0 New Zealand

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19052
65
Updated
03 Jul 2018

This dataset was last updated on MfE Data Service on 03 Jul 2018.

The 15 class Benthic-Optimised Marine Environment Classification (BOMEC). The BOMEC divides the benthic environment into ecosystem types. These are grouped into three inshore groups, three continental shelf groups, and nine deeper-water groups. Each group represents areas with similar environmental variables, such as depth, temperature, salinity, and suspended sediment. The classification system considers the distributions of eight benthic taxonomic groups: asteroids, bryozoans, benthic foraminiferans, octocorals, polychaetes, matrix-forming scleratinian corals, sponges, and benthic fish.

Layer ID 52748
Data type Vector multipolygon
Feature count 15
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Benthic_Protected_Areas

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Creative Commons Attribution 3.0 New Zealand

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9057
40
Updated
03 Jul 2018

This dataset was last updated on MfE Data Service on 03 Jul 2018.

From the original files MFB0174_1_region_TM and MFB0174_1_rectangle_TM.

Sourced from MPI in May 2012. Contact Alana Corney.

Layer ID 52758
Data type Vector multipolygon
Feature count 17
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Nitrate–nitrogen trends, 1989–2013

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Creative Commons Attribution 3.0 New Zealand

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10290
84
Added
19 Feb 2016

This dataset was first added to MfE Data Service on 19 Feb 2016.

Small amounts of nitrogen are a natural component of healthy rivers. Nitrogen is transferred from land to water and is cycled through different forms, which can have different effects. Moderate concentrations of nitrate can cause weeds and algae to grow too fast. High concentrations of ammoniacal and nitrate nitrogen can be toxic to fish and other aquatic animals.
This dataset relates to the "River water quality trends: nitrogen" measure on the Environmental Indicators, Te taiao Aotearoa website.

Layer ID 53319
Data type Vector point
Feature count 77
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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