River Environment Classification Wellington (2010) (DEPRECATED)

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Creative Commons Attribution 3.0 New Zealand

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12965
350
Added
23 Dec 2013

This dataset was first added to MfE Data Service on 23 Dec 2013.

The New Zealand River Environment Classification (REC) organises information about the physical characteristics of New Zealand's rivers. Individual river sections are mapped according to physical factors such as climate, source of flow for the river water, topography, and geology, and catchment land cover eg, forest, pasture or urban. Sections of river that have similar ecological characteristics can then be grouped together, no matter where they are.

This information is mapped for New Zealand's entire river network - over 425,000 kilometres of river. Different types of rivers respond differently to the pressures placed on them - the REC can be used to highlight the most appropriate management tools and approaches to reduce these pressures for each river type. Information from the classification is used to develop policy, assess the environment, and report on the quality of river water.

Stream order is the numerical position of a tributary or section of a river within the entire network. Headwater streams are assigned a stream order of 1. When two tributaries of the same stream order meet, the order increments by one for the next section downstream. However, if two sections meet where one section has higher order than the other, the next section downstream has the same order as the highest upstream section.

Additional metadata can be found at www.mfe.govt.nz/publications/ser/metadata/env-clas... .

Layer ID 51829
Data type Vector linestring
Feature count 18074
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

River Environment Classification Catchment Order 6 (2010) (DEPRECATED)

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Creative Commons Attribution 3.0 New Zealand

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22869
855
Added
04 Oct 2010

This dataset was first added to MfE Data Service on 04 Oct 2010.

The REC groups rivers and parts of river networks that share similar ecological characteristics, including physical and biological. Rivers that share the same class can be treated as similar to one another and different to rivers in other classes. The REC classification system groups rivers according to several environmental factors that strongly influence or cause the rivers’ physical and ecological characteristics (climate, topography, geology and land cover). A catchment is a polygon that defines the upstream watershed of a river system or sub-system. Land cover within the catchment was used to populate the river classification factors (see table 1.1 of the User Guide www.mfe.govt.nz/environmental-reporting/about/tool...).

Additional metadata, and the River Environment Classification can be found at www.mfe.govt.nz/sites/default/files/environmental-...

Layer ID 52362
Data type Vector multipolygon
Feature count 155
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Vulnerable catchments

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Creative Commons Attribution 3.0 New Zealand

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23015
425
Added
01 Dec 2016

This dataset was first added to MfE Data Service on 01 Dec 2016.

To view the map of vulnerable catchments, click the orange 'plus’ icon above.

The Government has committed $100 million over 10 years through the Freshwater Improvement Fund to support initiatives which improve the management of fresh water within quality and quantity limits.

The fund focuses on projects that will make a significant and measurable improvement to rivers, lakes, streams, groundwater and wetlands, with priority on the most vulnerable catchments.

This dataset shows catchments that have been classified as vulnerable (as defined by the criteria for the Freshwater Improvement Fund).

Layer ID 53523
Data type Vector multipolygon
Feature count 717
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

Predicted lake water quality, 2009-13

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Creative Commons Attribution 4.0 International

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1585
38
Added
24 Jun 2018

This dataset was first added to MfE Data Service on 24 Jun 2018.

This dataset is a result of Random Forest modelling to predict cyanobacterial biovolume in lakes nationally, which included spatial modelling of chlorophyll a, TN, TP, Secchi depth, Trophic Level Index, and Cyanobacterial biovolume.


More information about the methods used to create this dataset can be found here: www.mfe.govt.nz/publications/fresh-water/strategic...


LID - FENZ Lake ID

Name - Name of lake (where available)

RegionalCo - Regional council name

CHLA - Chlorophyll a (mg/L)

TN - Total nitrogen (mg/m3)

TP - Total phosphorus (mg/m3)

SECCHI - Secchi disc depth (m)

TLI3 - Trophic Level Index (unitless)

CyanoBioVo - Cyanobacterial biovolume (mm3/L)


Layer ID 95541
Data type Vector multipolygon
Feature count 3819
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

River Water Quality for Swimming Categories [Raw Model Output]

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Creative Commons Attribution 4.0 International

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1437
40
Added
27 Jun 2018

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

Summary

Water quality for swimming categories for rivers 4th order and above. 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:

NZREACH: NZREACH from the River Environment Classification Version 1

ORDER: Strahler stream order

Category: Water quality for swimming category see www.mfe.govt.nz/fresh-water/national-targets-swimm...

PrGT540: percentage of samples that exceeded 540 E.coli per 100mL

PrGT260: percentage of samples that exceeded 260 E.coli per 100mL

Median: median E.coli per 100mL

Q95: 95th percentile E.coli per 100mL

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

Layer ID 95562
Data type Vector linestring
Feature count 570577
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

Water quality for swimming: Scenario 1

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Creative Commons Attribution 4.0 International

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1155
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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1027
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)

Updated suspended sediment yield estimator and estuarine trap efficiency model results 2019

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Creative Commons Attribution 4.0 International

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600
39
Added
14 Aug 2019

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

This dataset includes three “packages” of information, each with multiple variables. The packages include:

  1. Load – results on mean annual suspended sediment load reported by REC 2 river reach scale for various model scenario variations.
  2. Lakes – results on sediment inflow, outflow, and entrapment in lakes and reservoirs
  3. Coastal – results on sediment inflows, trap efficiency, and sedimentation rates in coastal hydrosystems (estuaries)

For further detail on the modelling methods and discussing results, see Hicks, M., Semademi-Davies, A., Haddadchi, A., Shankar, U., Plew, D. (2019) Updated sediment load estimator for New Zealand. NIWA Client Report No. 2018341CH, prepared for Ministry for the Environment. January 2019. Available online: www.mfe.govt.nz/publications/fresh-water/updated-s...

Note that some portions of this dataset refine and update 2011 modelling on suspended sediment loads across New Zealand, whereas other components, especially the coastal package, report new modelling results.

Layer ID 103686
Data type Vector linestring
Feature count 593466
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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1444
30
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)

Option 1 for reducing nitrogen loss

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Creative Commons Attribution 4.0 International

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1090
12
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)
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