River Environment Classification Taranaki (2010)

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Creative Commons Attribution 3.0 New Zealand

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1797
46
Added
23 Dec 2013

This dataset was first added to MfE Data Service on 23 Dec 2013.

The New Zealand River Environment Classification (REC) organises information about the physical characteristics of New Zealand's rivers. Individual river sections are mapped according to physical factors such as climate, source of flow for the river water, topography, and geology, and catchment land cover eg, forest, pasture or urban. Sections of river that have similar ecological characteristics can then be grouped together, no matter where they are.

This information is mapped for New Zealand's entire river network - over 425,000 kilometres of river. Different types of rivers respond differently to the pressures placed on them - the REC can be used to highlight the most appropriate management tools and approaches to reduce these pressures for each river type. Information from the classification is used to develop policy, assess the environment, and report on the quality of river water.

Stream order is the numerical position of a tributary or section of a river within the entire network. Headwater streams are assigned a stream order of 1. When two tributaries of the same stream order meet, the order increments by one for the next section downstream. However, if two sections meet where one section has higher order than the other, the next section downstream has the same order as the highest upstream section.

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

Layer ID 51828
Data type Vector linestring
Feature count 16783
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

High class land for food production North Island 2012

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Creative Commons Attribution 3.0 New Zealand

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1819
23
Added
09 Feb 2016

This dataset was first added to MfE Data Service on 09 Feb 2016.

"This data identified areas in the South Island that have been classified as being the most productive for growing food. It supports most crops across New Zealand. Expanding lifestyle blocks and urban areas reduce the availability of high-class land for commercial crop growing, and this land is unlikely to be returned to primary production. This affects our commercial food-production capacity.

This data set relates to the "High-class land for food production" measure on the Environmental Indicators, Te taiao Aotearoa website."

Layer ID 52830
Data type Image/Raster
Resolution 100.000m
Services Catalog Service (CS-W), data.govt.nz Atom Feed

Distribution of possums 2002–2014

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Creative Commons Attribution 3.0 New Zealand

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1798
37
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 53158
Data type Image/Raster
Resolution 100.000m
Services Catalog Service (CS-W), data.govt.nz Atom Feed

Deforestation by Territorial Authority, 2008–2014

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Creative Commons Attribution 4.0 International

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1818
14
Added
12 Oct 2017

This dataset was first added to MfE Data Service on 12 Oct 2017.

Percent of land deforested in each Territorial Authority unit from 2008–2014. New Zealand’s indigenous and exotic forests absorb carbon dioxide (CO2) from the atmosphere through photosynthesis and store the carbon as biomass and in the soil. On average, more than twice as much carbon per hectare is stored in New Zealand’s mature indigenous forests than in exotic forests planted for wood production. Regenerating indigenous forests are also an important store of carbon, adding carbon every year as they grow. Total carbon stored in exotic forests will fluctuate over decades as the forests grow from seedlings to mature trees, are harvested, and replanted. Because CO2 is the major driver of climate change, forests provide important mitigation services and help New Zealand meet its climate change commitments.
More information on this dataset and how it relates to our environmental reporting indicators and topics can be found in the attached data quality pdf.

Layer ID 89422
Data type Vector multipolygon
Feature count 68
ElevationZ coordinates
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

NZ Peat Mines 1990-2015

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Creative Commons Attribution 3.0 New Zealand

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1827
4
Added
07 Apr 2017

This dataset was first added to MfE Data Service on 07 Apr 2017.

Maps horticultural peat mining areas from 1990 to 2015, peat type and quantity, and post-mining activities.

Layer ID 53594
Data type Vector polygon
Feature count 9
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Annual sea surface temperature difference from normal, 2009

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Creative Commons Attribution 3.0 New Zealand

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1828
0
Added
12 Feb 2016

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

The ocean waters surrounding New Zealand vary in temperature from north to south. They interact with heat and moisture in the atmosphere and affect our weather. Long-term changes and short-term variability in sea-surface temperatures can affect marine processes, habitats, and species. Some species may find it hard to survive in changing environmental conditions.

This layer shows annual sea-surface temperature difference from normal for 2009 as part of the data series for years 1993 to 2013. "Normal" is defined as the average sea-surface temperature for 1993–2013.

NIWA’s sea-surface temperature archive is derived from the Advanced Very High Resolution Radiometer (AVHRR) satellite data it receives from the National Oceanic and Atmospheric Administration. The archive provides high spatial (approximately 1km) and high temporal (approximately 6-hourly in cloud-free locations) resolution estimates of sea-surface temperatures over the New Zealand region, dating from January 1993. Uddstrom and Oien (1999) and Uddstrom (2003) describe the methods used to derive and validate the data.

This dataset relates to the "Annual average sea-surface temperature" measure on the Environmental Indicators, Te taiao Aotearoa website.

Geometry: grid

Unit: percent

Further information can be found in:

Uddstrom, MJ (2003). Lessons from high-resolution satellite SSTs. Bulletin of the American Meteorological Society, 84(7), 896–897.

Uddstrom, MJ, & Oien, NA (1999). On the use of high resolution satellite data to describe the spatial and temporal variability of sea surface temperatures in the New Zealand region. Journal of Geophysical Research (Oceans) 104, chapter 9, 20729–20751.

Layer ID 53174
Data type Image/Raster
Resolution About 1927.000m
Services Catalog Service (CS-W), data.govt.nz Atom Feed

Nitrate–nitrogen, 2009–2013

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Creative Commons Attribution 3.0 New Zealand

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1758
68
Added
11 Jan 2016

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

"Small amounts of nitrogen are a natural component of healthy rivers. Nitrogen in rivers can vary due to differences in land use, climate, elevation, and geology. 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 ""Geographic pattern of nitrogen in river water"" measure on the Environmental Indicators, Te taiao Aotearoa website. "

Layer ID 52723
Data type Vector point
Feature count 760
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Petroleum Wells

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Creative Commons Attribution 3.0 New Zealand

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1786
29
Added
11 Jan 2016

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

The location of petroleum wells in the territorial sea and the exclusive economic zone.

Layer ID 52757
Data type Vector point
Feature count 1188
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Number of extreme wave events exceeding 4m in oceanic regions, 2008–15

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Creative Commons Attribution 3.0 New Zealand

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1805
2
Added
19 Oct 2016

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

Extreme wave indexes estimate the occurrence of extreme wave events in coastal and oceanic waters. Extreme wave indexes estimate the number of times a significant wave height exceeds one of three threshold values for at least 12 hours in 24 marine regions. The three wave-height thresholds are four metres, six metres, and eight metres.
This indicator estimates the exceedances of wave-height thresholds for each year from 2008 to 2015 in oceanic regions around New Zealand.
Significant wave height is a measure of the ‘typical’ wave height in a place over a time period. It is four times the standard deviation of the water surface if, for example, you were to measure water moving up and down a jetty piling for an hour. The largest individual wave will typically have a height around twice the significant wave height.
We use three wave-height thresholds because of the regional variation in extreme wave events. In general, the north experiences less exposure to consistently strong winds, and the waves generated by them, than the south. Four-metre tall waves are considered extreme in the northern-most parts of New Zealand but are more common in the south. For the southern-most parts of New Zealand, eight-metre waves better represent extreme wave events.
This dataset relates to the number of extreme wave events exceeding the four metre threshold in oceanic regions.

Layer ID 53503
Data type Vector multipolygon
Feature count 48
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Mineral and Coal Permits

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Creative Commons Attribution 3.0 New Zealand

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1761
38
Added
11 Jan 2016

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

The location and extent of mineral and coal permits in the territorial sea and the exclusive economic zone.

Layer ID 52750
Data type Vector multipolygon
Feature count 1087
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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