Stock Exclusion Low Slope Land 2022

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

806
59
Updated
28 Nov 2022

This dataset was last updated on MfE Data Service on 28 Nov 2022.

The Stock Exclusion Low Slope Land 2022 layer identifies areas of "Low Slope Land" as defined in the Resource Management (Stock Exclusion) Regulations 2020. The layer shows land with a local slope of less than or equal to 5 degrees where beef cattle and deer are required to be excluded from waterways. Areas of lakes, ponds, settlements, urban parkland, transport infrastructure and estuarine open water, as defined in Land Cover Database 5, are excluded. Areas over 500m in altitude are also excluded. This layer replaces the Stock Exclusion Low Slope Land 2020 layer.

Layer ID 111150
Data type Vector multipolygon
Feature count 31110
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

Stock Exclusion Low Slope Land 2020 (DEPRECATED)

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

12393
271
Added
04 Aug 2020

This dataset was first added to MfE Data Service on 04 Aug 2020.

The Stock Exclusion Low Slope Land 2020 layer identified areas of "low slope land" as defined in the Resource Management (Stock Exclusion) Regulations 2020 when the regulation was first gazetted in 2020. In December 2022 the dataset was superseded by the Stock Exclusion Low Slope Land 2022 layer.

The layer shows the land parcels, or part parcels, defined as low slope land. These areas have a mean slope is less than or equal to 10 degrees. Parcels with a parcel intent of "ROAD" are excluded. Areas of lakes, ponds, settlements and urban parkland, as defined in Land Cover Database 5, are also excluded. Areas of low-slope grassland and annual cropland within high-slope parcels are also included in the Stock Exclusion Low Slope Land extent.

Layer ID 104827
Data type Vector multipolygon
Feature count 39024
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

Stock Exclusion Medium Slope Land 2022

Licence

Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

223
17
Added
28 Nov 2022

This dataset was first added to MfE Data Service on 28 Nov 2022.

The Stock Exclusion Medium Slope Land 2022 layer identifies areas with a slope of between 5 and 10 degrees below 500m in altitude where excluding stock from waterways is likely to be practical and advisable. This layer has been created using the same method used to create the Stock Exclusion Low Slope Land 2022 layer which represents "Low Slope Land" as defined in the Resource Management (Stock Exclusion) Regulations 2020. This layer is intended to be used in conjunction with the Stock Exclusion Low Slope Land 2022 layer to support planning for stock exclusion.

Layer ID 111151
Data type Vector multipolygon
Feature count 65610
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

Depth to hydrogeological basement map, 2019

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

3860
58
Added
27 Jan 2020

This dataset was first added to MfE Data Service on 27 Jan 2020.

This data set provides an update of New Zealand’s depth to hydrogeological basement map. Depth to hydrogeological basement can be loosely defined as the ‘base of aquifers’; or more strictly as ‘the depth to where primary porosity and permeability of geological material is low enough such that flued volumes and flow rates can be considered negligible’. For more detail on the process and methods, see Westerhoff et al. (2019). New Zealand groundwater atlas: depth to hydrogeological basement. Lower Hutt (NZ): GNS Science. 19 p. Consultancy Report 2019/140

Cite data as:

GNS Science. (2019). Depth to hydrogeological basement [Data set]. Ministry for the Environment, GNS Science. doi.org/10.21420/FQXD-VY44

Cite report describing the data as:

Westerhoff et al. (2019). New Zealand groundwater atlas: depth to hydrogeological basement. Lower Hutt (NZ): GNS Science. 19 p. Consultancy Report 2019/140.

A national model was used to estimate depth to hydrogeological basement. Hydrogeological basement refers to geological material with primary porosity and permeability that is low enough such that fluid volumes and flow rates can be considered negligible.

Layer ID 104446
Data type Grid
Resolution 250.000m
Services Raster Query API, Catalog Service (CS-W)

NZ Freshwater Nutrient and Biomass Measurements for Periphyton 2012 - 2020

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

556
8
Added
25 May 2022

This dataset was first added to MfE Data Service on 25 May 2022.

NZ regional council freshwater nutrient and biomass measurements 2012-2020.

Used to derive nitrogen and phosphorus concentrations and exceedance criteria for managing periphyton in fresh water.

Creative Commons 4.0 International by Ministry for the Environment and Statistics New Zealand

Variables:

  • Site (the number of the data point itself)
  • RC (Regional Council that collected the measurement)
  • RCSiteID (the identifier used by that specific council)
  • SiteName (the Site where the measurement was collected)
  • DateChla (date the chlorophyll-a measurement was collected)
  • Year (Year of collection)
  • Month (Month of collection)
  • Chla ( mg chlorophyll-a per square meter)
  • NOxppb (Nitrous oxide parts per billion)
  • NH4ppb (Ammonia parts per billion)
  • DRPppb (Dissolved Reactive Phosphorus parts per billion)
  • TNppb (Total Nitrogen parts per billion)
  • TPppb (Total Phosphorus parts per billion)
  • DINppb (Dissolved Inorganic Nitrogen parts per billion)
  • EC (Electrical Conductivity)
  • pH (acidity/basicness of the water at the sample location)
  • Temp (water temperature in degrees Celsius at time of measurement)
  • Turbidity (turbidity of the water at time of measurement)
  • Clarity_m (water clarity, in metres, at the time of measurement)

N/A values in the data set refer to an absence of measurement for that specific variable.

Report:

environment.govt.nz/publications/derivation-of-nut...

Snelder T, Kilroy C, Booker D (2021) Derivation of Nutrient Criteria for Periphyton Biomass Objectives. Using regional council monitoring data. LWP and NIWA Ltd, Christchurch, New Zealand

For subject matter questions please contact freshwater@me.govt.nz.

Table ID 107868
Data type Table
Row count 20765
Services Web Feature Service (WFS), Catalog Service (CS-W)

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

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

2695
53
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: environment.govt.nz/publications/updated-sediment-...

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)

Stock Exclusion Low Slope Land 2021 Proposal NZ

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

7480
216
Added
13 Aug 2021

This dataset was first added to MfE Data Service on 13 Aug 2021.

The StockEx LSL 2021 proposed layer identifies proposed areas of "low slope land" where the Resource Management (Stock Exclusion) Regulations 2020 would apply if the low slope land map was updated as proposed in the "Stock exclusion regulations: Proposed changes to the low slope map" (MfE, 2021) discussion document. The layer shows the area of land defined as low slope land. These areas have a local mean slope is less than or equal to 5 degrees and are below 500m in altitude. Areas of lakes and ponds, estuarine open water, built-up areas, transport infrastructure, depleted grass, tall tussock grassland and urban parkland, as defined in Land Cover Database 5, are also excluded.

Note: The current regulation layer is 'Stock Exclusion Low Slope Land 2020'

data.mfe.govt.nz/layer/104827

Layer ID 105877
Data type Vector multipolygon
Feature count 14591
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

Stock Exclusion Low Slope Land 2021 Proposal Chatham Islands

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

1208
3
Added
13 Aug 2021

This dataset was first added to MfE Data Service on 13 Aug 2021.

The StockEx LSL 2021 proposed layer identifies proposed areas of "low slope land" where the Resource Management (Stock Exclusion) Regulations 2020 would apply if the low slope land map was updated as proposed in the "Stock exclusion regulations: Proposed changes to the low slope map" (MfE, 2021) discussion document. The layer shows the area of land defined as low slope land. These areas have a local mean slope is less than or equal to 5 degrees and are below 500m in altitude. Areas of lakes and ponds, estuarine open water, built-up areas, transport infrastructure, depleted grass, tall tussock grassland and urban parkland, as defined in Land Cover Database 5, are also excluded.

Layer ID 105876
Data type Vector multipolygon
Feature count 136
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

MfE Low-slope extent 2019 DEPRECATED

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

7185
101
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)

Streambank Erosion Susceptibility Index

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

2260
50
Added
29 Jul 2021

This dataset was first added to MfE Data Service on 29 Jul 2021.

Full report: Memorandum on implementing a national index for susceptibility to streambank erosion: environment.govt.nz/publications/national-index-st...

This dataset contains predictions of the susceptibility to streambank erosion for every stream link in the RECv2.5 digital river network. Streambank erosion susceptibility is computed as a dimensionless index (range 0-100) for each stream link based on factors that may influence reach-scale bank erosion. These factors comprise stream power, the extent of riparian woody vegetation, valley confinement, channel sinuosity, and the erodibility of stream banks based on soil texture. The approach for determining streambank erosion susceptibility is described by Smith & Betts (2021) and based on the bank erosion model developed by Smith et al. (2019).

***Smith HG, Spiekermann R, Dymond J, Basher L 2019. Predicting spatial patterns in riverbank erosion for catchment sediment budgets. New Zealand Journal of Marine and Freshwater Management 53: 338–362.

***Smith HG, Betts H 2021. Memorandum on implementing a national index for susceptibility to streambank erosion. Technical memorandum prepared for the Ministry for the Environment by Manaaki Whenua – Landcare Research.

Layer ID 105771
Data type Vector linestring
Feature count 593517
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)
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