Distribution of tahr 2002–2014

Licence

Creative Commons Attribution 3.0 New Zealand

You may use this work for commercial purposes.

You must attribute the creator in your own works.

4820
36
Added
12 Feb 2016

This dataset was first added to MfE Data Service on 12 Feb 2016.

"The pressure from animal and plant pests is one of the biggest threats to biodiversity in the land environment. Pest predators (such as stoats and possums) eat eggs, birds, lizards, insects, and snails. Other animal pests (such as deer and goats) damage and kill trees and other plants and can compete with indigenous animals for the plants’ fruit and seed. Pest plants can out-grow the local vegetation. All these activities can dramatically change both our indigenous and agricultural environments.

This data set relates to the "Land pests" measure on the Environmental Indicators, Te taiao Aotearoa website."

Layer ID 53162
Data type Image/Raster
Resolution 100.000m
Services Catalog Service (CS-W), data.govt.nz Atom Feed

DMC 2010 Footprints

4349
3
Added
20 Jul 2017

This dataset was first added to MfE Data Service on 20 Jul 2017.

Note: Metadata relates to the mosaicked imagery. This layer has been provided to enable users to explore coverage and capture dates of the imagery. To enquire about ordering the imagery, please e-mail lucas[at]mfe.govt.nz.

This imagery is 22m, three-band multispectral, cloud-minimised mosaics of Deimos-1 and UK-DMC-2 satellite scenes over mainland New Zealand captured late-2009/early-2010.

The imagery is only available to NZ Crown agencies.

Layer ID 53638
Data type Vector multipolygon
Feature count 17
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

DoC marine mammal sanctuaries

Licence

Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

3829
38
Added
11 Jan 2016

This dataset was first added to MfE Data Service on 11 Jan 2016.

The location and extent of Marine mammal sanctuaries in the territorial sea and the exclusive economic zone.

Layer ID 52759
Data type Vector multipolygon
Feature count 9
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

DoC marine mammal sanctuaries (2016 report)

Licence

Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

4494
22
Added
19 Oct 2016

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

New Zealand’s four million km2 marine environment is diverse, with a range of coastal habitats and offshore seabed environments. There are also many marine species unique to New Zealand. Marine protected areas conserve or manage some of these unique habitats and species, while a range of other tools also provide marine protection. We report on the area covered by these tools as an indirect measure to understand the state of the marine environment.
Marine mammal sanctuaries are one of the marine protection tools used. They are designed to protect New Zealand’s unique range of marine mammals by reducing harmful human impacts, particularly in vulnerable areas such as migratory routes and breeding grounds. Each marine mammal sanctuary has a specific set of restrictions based on the species that occupy, or pass through that particular area.

Layer ID 53495
Data type Vector multipolygon
Feature count 9
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Environmental Limiting Factors (2012)

Licence

Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

5833
72
Added
24 Jul 2012

This dataset was first added to MfE Data Service on 24 Jul 2012.

A spatial dataset identifying a set of environmental conditions that have potential to inhibit growth of newly-established woody vegetation such that it might not reach a ‘forest’ status (defined as greater than 30% cover of trees of 5 m height) within a 30-40 year timeframe.

Inclusions: temperature, moisture availability, edaphic conditions, coastal exposure, and land instability

Exclusions: herbivory, competition, external gene pools, availability of seed sources and dispersers, and also fire

This ELF layer is designed to provide a concise evidence source to guide decision making regarding the potential for naturally regenerating species to reach the criteria for Kyoto-compliant forest. Due to the variable quality in the source data used to compile this layer it should only be considered to provide guidance and should not be used as authoritative for forest eligibility/ineligibility under any government scheme.

Layer ID 52374
Data type Vector multipolygon
Feature count 18763
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Erosion modelling to support proposed sediment attribute impact testing 2019

Licence

Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

589
18
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)

Erosion risk North Island 2012

Licence

Creative Commons Attribution 3.0 New Zealand

You may use this work for commercial purposes.

You must attribute the creator in your own works.

5823
89
Added
12 Feb 2016

This dataset was first added to MfE Data Service on 12 Feb 2016.

"This data records estimated erosion risk for different areas in the North Island.

New Zealand experiences high rates of soil erosion. In the North Island, this is mostly due to the historical clearance of forest for agriculture (see also Estimated long-term soil erosion). In contrast, erosion in the South Island is mostly due to natural processes, primarily high rainfall and steep mountain slopes.
Highly erodible land comprises land at risk of landsliding, gullying, or earthflow erosion if it does not have protective woody vegetation (Dymond et al, 2006). Landsliding occurs on steep slopes where the soils do not have the support of tree roots.
Gullying and earthflow erosion can occur on all slopes, irrespective of steepness, but the land is only considered at risk if it does not have woody vegetation.
Landslide erosion is the shallow (approximately 1m) and sudden failure of soil slopes during storm rainfall. Gully erosion is massive soil erosion that begins at gully heads and expands up hillsides, over decadal time scales. Earthflow erosion is the slow downward movement (approximately 1m/year) of wet soil slopes towards waterways.

This data set relates to the "Estimated highly erodible land in the North Island" measure on the Environmental Indicators, Te taiao Aotearoa website."

Layer ID 53177
Data type Image/Raster
Resolution 100.000m
Services Catalog Service (CS-W), data.govt.nz Atom Feed

Estimated groundwater flux, 2019: Discharge

Licence

Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

104
3
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 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.

2
2
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 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.

94
3
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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