Stock Exclusion Medium Slope Land 2022

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Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

214
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)

Stock Exclusion Low Slope Land 2022

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

747
57
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 2021 Proposal NZ

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Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

7452
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

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Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

1201
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)

Streambank Erosion Susceptibility Index

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

2250
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)

Sediment classes for REC2.4 nzsegments

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

2627
59
Added
03 Nov 2020

This dataset was first added to MfE Data Service on 03 Nov 2020.

This layer applies the sediment attributes’ classification, per Appendix 2C of the NPS-FM 2020, to the digital River Environment Classification (REC) v2.4 network.

This layer is meant to support stakeholders in their understanding and implementation of the suspended and deposited sediment attributes, but it does not form part of the regulation; it is not incorporated by reference.

Layer ID 105094
Data type Vector multilinestring
Feature count 593548
Primary key nzsegment
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W)

Stock Exclusion Low Slope Land 2020 (DEPRECATED)

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Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

12372
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)

Estimated groundwater flux, 2019: Flow

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

1222
45
Added
27 Jan 2020

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

This set of data sets provides an estimation of groundwater flux. There are three components: Groundwater recharge: development of nationwide mean (daily and seasonal) groundwater recharge data sets through the combination of three pre-existing groundwater recharge models; Groundwater–surface water exchange: development of a national indicative groundwater discharge data set using an existing national groundwater flow model, as well as comparison with a pre-existing gaining/losing stream prediction data set; Groundwater flow: development of a national groundwater flow data set using an existing national groundwater flow model. For more detail on the process and methods, see Westerhoff et al. (2019). New Zealand groundwater atlas: Groundwater Fluxes. Lower Hutt (NZ): GNS Science. 60 p. Consultancy Report 2019/126.

A national groundwater model was used to estimate near-surface groundwater flow amplitudes and separated into four classes to encompass the uncertainty of the dataset.

Layer ID 104449
Data type Image/Raster
Resolution 250.000m
Services Raster Tiles Query API, Catalog Service (CS-W)

Estimated groundwater flux, 2019: Discharge

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

1820
34
Added
27 Jan 2020

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

This set of data sets provides an estimation of groundwater flux. There are three components: Groundwater recharge: development of nationwide mean (daily and seasonal) groundwater recharge data sets through the combination of three pre-existing groundwater recharge models; Groundwater–surface water exchange: development of a national indicative groundwater discharge data set using an existing national groundwater flow model, as well as comparison with a pre-existing gaining/losing stream prediction data set; Groundwater flow: development of a national groundwater flow data set using an existing national groundwater flow model. For more detail on the process and methods, see Westerhoff et al. (2019). New Zealand groundwater atlas: Groundwater Fluxes. Lower Hutt (NZ): GNS Science. 60 p. Consultancy Report 2019/126.

A national groundwater model (NWT) was used to estimate the probability of groundwater discharging to the surface and separated into classes to encompass the uncertainty of the dataset.

Layer ID 104448
Data type Image/Raster
Resolution 250.000m
Services Raster Tiles Query API, Catalog Service (CS-W)

Estimated groundwater flux, 2019: Recharge

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

1965
38
Added
27 Jan 2020

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

This set of data sets provides an estimation of groundwater flux. There are three components: Groundwater recharge: development of nationwide mean (daily and seasonal) groundwater recharge data sets through the combination of three pre-existing groundwater recharge models; Groundwater–surface water exchange: development of a national indicative groundwater discharge data set using an existing national groundwater flow model, as well as comparison with a pre-existing gaining/losing stream prediction data set; Groundwater flow: development of a national groundwater flow data set using an existing national groundwater flow model. For more detail on the process and methods, see Westerhoff et al. (2019). New Zealand groundwater atlas: Groundwater Fluxes. Lower Hutt (NZ): GNS Science. 60 p. Consultancy Report 2019/126.

Three national models of groundwater recharge in New Zealand were used (NGRM, TopNet, IrriCalc) to create a mean model of groundwater recharge. This dataset summarises the gridded groundwater recharge from this model mean for the period 2000-2015 in mm/day.

_Attachment 1: _A complementary dataset describing the standard deviation of the NZGroundwaterRecharge_mean_20002015 dataset.

Attachment 2: This dataset summarises the gridded autumn groundwater recharge from this model mean for the period 2000-2015 in mm/day. Also complementary dataset of standard deviation.

Attachment 3: This dataset summarises the gridded spring groundwater recharge from this model mean for the period 2000-2015 in mm/day. Also complementary dataset of standard deviation.

Attachment 4: This dataset summarises the gridded summer groundwater recharge from this model mean for the period 2000-2015 in mm/day. Also complementary dataset of standard deviation.

Attachment 5: This dataset summarises the gridded winter groundwater recharge from this model mean for the period 2000-2015 in mm/day. Also complementary dataset of standard deviation.

Layer ID 104447
Data type Grid
Resolution 1010.000m
Services Raster Query API, Catalog Service (CS-W)
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