Stock Exclusion Low Slope Land 2020

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Creative Commons Attribution 4.0 International

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1303
127
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 identifies areas of "low slope land" as defined in the Resource Management (Stock Exclusion) Regulations 2020. 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)

MfE Low-slope extent 2019

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

4422
87
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)

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

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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.

227
30
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)

Sea-draining catchments

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

1855
287
Updated
24 Jul 2019

This dataset was last updated on MfE Data Service on 24 Jul 2019.

This dataset provides boundaries for catchments that drain to the sea (i.e. sea draining catchments).

It is extracted from the Freshwater Ecosystems of New Zealand (FENZ) v1.0 geodatabase. Ministry for the Environment hosts this copy of this layer for convenience and visibility. For all inquiries please contact Department of Conservation directly.

FENZ requires specialist GIS knowledge for its technical operation and biodiversity knowledge for understanding the content. Because of FENZ’s complexity, DOC is providing advice, briefings and training (where possible) to ensure users understand its strengths, limitations and appropriate applications.

If you would like more information about FENZ or access to any FENZ data sets, email fenz@doc.govt.nz.

www.doc.govt.nz/our-work/freshwater-ecosystems-of-...

Variables:

Catch_id - This is a unique identifier that can be used to link to other datasets in the FENZ database, or datasets from other sources that also use a FENZ id.

Catchment names:

Currently a definitive catchment names dataset does not exist. However for your convenience, an unofficial list has been provided in the attachments ("fenz_catnames.csv") which can be joined to the catchment boundaries to provide names. Feedback on the accuracy or completeness of these names is welcomed.

Layer ID 99776
Data type Vector multipolygon
Feature count 10131
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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89
18
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)

Hydrological modelling to support proposed sediment attribute impact testing 2020

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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.

1045
24
Updated
03 Jun 2020

This dataset was last updated on MfE Data Service on 03 Jun 2020.

This dataset reports modelled mean annual suspended sediment load reduction required to meet suspended sediment attribute bottom lines in the NPS-FM 2020. Results are reported for the REC 2 river reach scale as well as at the “catchment pourpoint average” scale. The dataset includes masks for the DoC estate as well as glacial mountain source of flow.

During policy development, the Ministry for the Environment tested suspended sediment load reductions required to meet various potential attribute bottom lines. The information from February 2020 reflects the bottom lines in the NPS-FM 2020. For further information on this specific dataset, see “Hicks and Shankar 2020. Contract 23184 Task: Sediment load reductions to meet visual clarity bottom lines”. This report is available on the Ministry for the Environment’s publications website where it is listed as Technical Report 6.

For further information on the modelling, see Hicks et al. (2019) Sediment load reductions to meet suspended and deposited sediment thresholds. NIWA Client Report No. 2019100CH. Prepared for the Ministry for the Environment. This report is available here: www.mfe.govt.nz/publications/fresh-water/sediment-....

Note that the river segment and pour point catchment results provided in the 2019 dataset form the basis for the erosion and economic modelling assessment of proposed sediment attributes as reported in 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.

Layer ID 103687
Data type Vector multipolygon
Feature count 633
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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You must attribute the creator in your own works.

1396
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)

Estimated groundwater flux, 2019: Recharge

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

643
15
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)

National water allocation statistics 2018: HydroAccumlatedFrame

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

580
11
Added
03 Jun 2019

This dataset was first added to MfE Data Service on 03 Jun 2019.

HydroAccumlatedFrame dataset to accompany National water allocation statistics for environmental reporting; 2018 report.

www.mfe.govt.nz/publications/fresh-water/national-...

This report updates previously published statistics on water consented to be taken from surface and groundwater sources for consumptive uses (such as irrigation or drinking water). The report focusses on the potential pressure on surface water flows from consumptive water takes. Stream flow pressure is characterised by accumulating water consented to be taken as percentage of median flow in all river reaches affected by consented takes in New Zealand.

Data relating to: a) the influence of all non-hydroelectric consents; b) the influence all consumptive hydroelectric consents; and c) the combined influence of all consumptive consents, regardless of hydroelectric or non-hydroelectric. Please note that the upstream accumulated total for each nzsegment can appear in multiple rows; once for each FactorName.

Table ID 102979
Data type Table
Row count 182397
Services Web Feature Service (WFS), Catalog Service (CS-W)

Erosion modelling to support proposed sediment attribute impact testing 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.

1270
29
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)
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