Land use - Land cover classes, 1996, 2001, 2008, and 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.

2113
106
Added
28 Sep 2015

This dataset was first added to MfE Data Service on 28 Sep 2015.

Land use that results in a change from indigenous to exotic cover can cause biodiversity loss and reduce functioning of ecosystems. Using more land for agriculture, forestry, and urbanisation is the main driver reducing indigenous land cover across New Zealand.

Column headings:
area_ha = area of land cover measured in hectares

This dataset relates to the "Land use" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52469
Data type Table
Row count 272
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

River Environment Classification Catchment Order 7 (2010)

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.

1987
217
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 data.mfe.govt.nz/document/123-rec-user-guide-2010/ ).

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

Layer ID 52361
Data type Vector multipolygon
Feature count 35
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Annual mean sea level (relative to land) (1900–2013)

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.

2021
104
Added
28 Sep 2015

This dataset was first added to MfE Data Service on 28 Sep 2015.

Sea-level rise is a consequence of climate change. Increases in global temperature cause ocean waters to expand, and glaciers and ice sheets to melt into oceans. Sea-level rise affects estuaries, coastal wetlands, and intertidal and sub-tidal habitats and species. The increased likelihood of coastal erosion from sea-level rise presents a risk for seaside communities and their infrastructure, and for the marine environment itself, from increased suspended sediments.
This dataset relates to the "Coastal sea-level rise" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52523
Data type Table
Row count 575
Services 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

You may use this work for commercial purposes.

You must attribute the creator in your own works.

2050
46
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

Nitrate–nitrogen trends, 1989–2013

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.

1991
64
Added
19 Feb 2016

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

Small amounts of nitrogen are a natural component of healthy rivers. Nitrogen is transferred from land to water and is cycled through different forms, which can have different effects. Moderate concentrations of nitrate can cause weeds and algae to grow too fast. High concentrations of ammoniacal and nitrate nitrogen can be toxic to fish and other aquatic animals.
This dataset relates to the "River water quality trends: nitrogen" measure on the Environmental Indicators, Te taiao Aotearoa website.

Layer ID 53319
Data type Vector point
Feature count 77
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

LUCAS NZ Forest LiDAR Footprints

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.

1967
25
Added
11 Sep 2017

This dataset was first added to MfE Data Service on 11 Sep 2017.

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

Ministry for the Environment, Land Use Carbon Analysis System collection of swaths of LiDAR over planted forests of interest (raw and classified returns) from 2006 to 2015.

Layer ID 88106
Data type Vector multipolygon
Feature count 8914
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Annual growing degree days

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.

1906
52
Added
01 Oct 2015

This dataset was first added to MfE Data Service on 01 Oct 2015.

Growing degree days (GDD) is the measure of how much warmth is available for plant and insect growth during a growing season. GDD information helps horticulturists and farmers predict plant growth and stock development. The GDD value changes in response to climate variations, such as El Niño. Long-term changes in GDD are a measure of changing climate conditions.
Further information can be found in:
Tait, A, Macara, G, & Paul, V. (2014) Preparation of climate datasets for the 2015 Environmental Synthesis Report: Temperature, Rainfall, Wind, Sunshine and Soil Moisture. Prepared for Ministry for the Environment. Available at data.mfe.govt.nz/x/Fwn9AL on the Ministry for the Environment dataservice (data.mfe.govt.nz/).
This dataset relates to the "Growing degree days" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52574
Data type Table
Row count 12168
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Marine Environment Classification EEZ 40 Classes (2010)

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.

1871
51
Added
03 Aug 2011

This dataset was first added to MfE Data Service on 03 Aug 2011.

The Marine Environment Classification (MEC), a GIS-based environmental classification of the marine environment of the New Zealand region, is an ecosystem-based spatial framework designed for marine management purposes.

Several spatially-explicit data layers describing the physical environment define the MEC. A physically-based classification was chosen because data on these physical variables were available or could be modelled, and because the pattern of the physical environment is a reasonable surrogate for biological pattern, particularly at larger spatial scales. Classes within the classification were defined using multivariate clustering methods. These produce hierarchical classifications that enable the user to delineate environmental variation at different levels of detail and associated spatial scales.

Layer ID 52369
Data type Vector multipolygon
Feature count 38
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Land Environments New Zealand (LENZ) - Level 1 Polygons (2009)

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.

1867
53
Added
30 Jun 2009

This dataset was first added to MfE Data Service on 30 Jun 2009.

Land Environments of New Zealand (LENZ) is a classification of fifteen climate, landform, and soil variables chosen for their relevance to biological distributions. Classification groups were derived by automatic classification using a multivariate procedure. Four levels of classification detail have been produced from this analysis, containing 20, 100, 200, and 500 groups respectively.
More information is available from the LENZ web site:
www.landcareresearch.co.nz/databases/lenz/

Layer ID 52354
Data type Vector polygon
Feature count 83941
Services Vector Query API, Web Feature Service (WFS)

Natural river flow statistics, predicted for all river reaches

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.

1737
151
Added
29 Sep 2015

This dataset was first added to MfE Data Service on 29 Sep 2015.

River flow is the quantity of water passing a point over a certain time. Each river or stream has its own natural flow characteristics, such as peak flows following rain or high spring flows from snow melt. Overall, this affects how much water is available for irrigation, drinking water, hydroelectricity generation, and recreational activities. River flows also influence a waterway’s physical form, habitat, and ecological processes like migration, spawning, and food supply for aquatic life.

This dataset relates to the "The geographic pattern of river flows" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52536
Data type Table
Row count 570579
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
Results 21 to 30 of 996