Distribution of stoats 2002–2014

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Creative Commons Attribution 3.0 New Zealand

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8637
62
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 53161
Data type Image/Raster
Resolution 100.000m
Services Catalog Service (CS-W), data.govt.nz Atom Feed

Seamount closures (2016 report)

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Creative Commons Attribution 3.0 New Zealand

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8989
25
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.
Seamount (underwater mountain area) closures are one of the marine protection tools used. They are designated areas in the exclusive economic zone, which extends to the 200 nautical mile limit. Seamount closures protect underwater mountain areas through the prohibition of all trawling activity. There are some areas where seamount closures overlap with benthic protection areas. In these cases the seamount closure restrictions apply.

Layer ID 53496
Data type Vector multipolygon
Feature count 17
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Number of days when wind speed exceeded gale force (Beaufort Scale 8) in 2015

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Creative Commons Attribution 3.0 New Zealand

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5446
14
Added
14 Oct 2016

This dataset was first added to MfE Data Service on 14 Oct 2016.

The ocean storm index estimates the number of days in a year when wind speeds exceed gale and storm force on the Beaufort Scale. In a gale, sea conditions are rough and waves can be over six metres high. In a storm, waves can be over 10 metres high. To put this into context, on land a near gale would make walking difficult, and a storm would cause some damage to roofs, chimneys, and trees. Climate change could lead to changes in the frequency and intensity of storms. More frequent and intense storms will likely be a stressor for habitats and species.
The ocean storm index estimates the number of days that wind speeds exceed gale and storm force on the Beaufort Scale. The Beaufort Scale is a widely used international classification that rates sea conditions from 0 (calm) to 12 (hurricane). We report on estimated wind speeds broken down to:
- gales – measure 8 on the scale, have rough sea conditions with wind speeds of approximately 62–74 km per hour and wave heights of 5.5 metres
- storms – measure 10 on the scale, have wind speeds of approximately 89–102 km per hour and wave heights of 9–11.5 metres (McDonald & Parsons, 2016).
This dataset relates to the number of days when wind speed exceeded gale force (Beaufort Scale 8) in 2015.

Layer ID 53462
Data type Grid
Resolution About 47632.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

DoC marine mammal sanctuaries

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Creative Commons Attribution 3.0 New Zealand

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7922
79
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

Average sea–surface temperature, 1993–2012

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Creative Commons Attribution 3.0 New Zealand

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6851
63
Added
18 Feb 2016

This dataset was first added to MfE Data Service on 18 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 grid shows average annual sea-surface temperature for years 1993 to 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.

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 53316
Data type Grid
Resolution 2000.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Freshwater pests: Water hyacinth

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Creative Commons Attribution 3.0 New Zealand

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9373
14
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 52741
Data type Vector point
Feature count 10
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Freshwater pests: Koi carp

Licence

Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

8064
38
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 52712
Data type Vector point
Feature count 166
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Freshwater pests: Canadian pondweed

Licence

Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

9142
12
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 52687
Data type Vector point
Feature count 609
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Median Escherichia coli concentration

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Creative Commons Attribution 3.0 New Zealand

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8017
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

Number of extreme wave events exceeding 8m in coastal regions, 2008–15

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Creative Commons Attribution 3.0 New Zealand

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9102
30
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 coastal 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 eight metre threshold in coastal regions.

Layer ID 53502
Data type Vector multipolygon
Feature count 144
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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