Deforestation by Territorial Authority, 2008–2014

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Creative Commons Attribution 4.0 International

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8612
44
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

Annual rainfall, 1980

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Creative Commons Attribution 3.0 New Zealand

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4151
16
Added
11 Feb 2016

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

Annual rainfall is the total accumulated rain over one year. Rain is vital for life, including plant growth, drinking water, river ecosystem health, and sanitation. Floods and droughts affect our environment, economy, and recreational opportunities.

This dataset shows annual average rainfall across New Zealand for 1980 as part of the data series for years 1972 to 2013. Annual rainfall is estimated from the daily rainfall estimates of the Virtual Climate Station Network (NIWA).

This dataset relates to the "Annual average rainfall" measure on the Environmental Indicators, Te taiao Aotearoa website.

Geometry: grid
Unit: mm/yr

Layer ID 52952
Data type Grid
Resolution 5110.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Annual rainfall Units: percentage of normal, 1972

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.

4379
3
Added
11 Feb 2016

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

Annual rainfall is the total accumulated rain over one year. Rain is vital for life, including plant growth, drinking water, river ecosystem health, and sanitation. Floods and droughts affect our environment, economy, and recreational opportunities.

This layer shows the annual rainfall as a percentage of normal across New Zealand for 1972 as part of the data series for years 1972 to 2013. Annual rainfall is the total accumulated rain over one year. It is estimated from the daily rainfall estimates of the Virtual Climate Station Network (NIWA). 'Normal' is defined as the average annual rainfall from 1972–2013.

This dataset relates to the "Annual average rainfall" measure on the Environmental Indicators, Te taiao Aotearoa website.

Geometry: raster catalogue
Unit: percent

Layer ID 52937
Data type Grid
Resolution 5110.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Distribution of tahr 2002–2014

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Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

10614
49
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

Median Escherichia coli concentration

Licence

Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

8270
77
Added
11 Jan 2016

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

E.coli is a type of bacteria commonly found in the intestines of warm–blooded animals (including people). When found in freshwater, it can indicate the presence of pathogens associated with faecal contamination, from sources such as waste from humans and farmed animals such as sheep and cows. E.coli concentrations can vary due to differences in land use, climate, elevation, and geology. High E. coli concentrations may cause illness in humans and animals if ingested. This is an important consideration for human health, particularly where people use the river for swimming or boating.
This dataset relates to the ""River water quality: bacteria (Escherichia coli)"" measure on the Environmental Indicators, Te taiao Aotearoa website.

Layer ID 52698
Data type Vector point
Feature count 785
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Freshwater pests: Catfish

Licence

Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

7863
20
Added
11 Jan 2016

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

"Freshwater plant and animal pests can have significant negative impacts on ecosystem health by reducing indigenous biodiversity through predation and competition, and destabilising aquatic habitats. Freshwater plant pests can cause economic losses through blocking water intakes for hydroelectricity generation, impeded drainage or irrigation. In addition, pests can affect the suitability for recreational activities.
This dataset relates to the ""Freshwater pests"" measure on the Environmental Indicators, Te taiao Aotearoa website. "

Layer ID 52689
Data type Vector point
Feature count 250
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Annual sea surface temperature difference from normal, 2015

Licence

Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

4663
8
Added
12 Oct 2017

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

The oceans store most of the excess energy accumulated due to increased greenhouse gases in the atmosphere warming the surface layer. These long-term increases in temperature caused by climate change are in addition to natural variability where ocean temperatures change in response to climate oscillations like the El Niño Southern Oscillation.
Changes in sea-surface temperatures can affect marine processes, environments, and species. Some species may shift range or find it hard to survive in changing environmental conditions. Warmer water also takes up more space, which contributes to sea-level rise.
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 89395
Data type Grid
Resolution About 4548.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Mortality of indigenous tree sp mountain horopito 2002–2014

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Creative Commons Attribution 3.0 New Zealand

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9512
6
Added
11 Jan 2016

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

"The rates of death (mortality) of indigenous tree species vary across New Zealand. Changes in the state of the environment (such as from browsing pests, large-scale weather events, or climate change) may change the rates of mortality of particular tree species. This in turn may alter forest processes. Repeated surveys of the distribution of mortality rates can alert us to impacts on our indigenous forests.

This data set relates to the "Distribution of indigenous trees" measure on the Environmental Indicators, Te taiao Aotearoa website."

Layer ID 52777
Data type Vector point
Feature count 207
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Annual sea surface temperature difference from normal, 2006

Licence

Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

10446
1
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 2006 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 53172
Data type Image/Raster
Resolution About 1927.000m
Services Catalog Service (CS-W), data.govt.nz Atom Feed

Number of extreme wave events exceeding 6m in oceanic regions, 2008–15

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Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

9328
15
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 a wave-height threshold for each year from 2008 to 2015 in oceanic regions.
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 six metre threshold in oceanic regions.

Layer ID 53504
Data type Vector multipolygon
Feature count 48
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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