Predicted average Macroinvertebrate Community Index (MCI) score, 2007–2011

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Creative Commons Attribution 3.0 New Zealand

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8457
58
Added
11 Jan 2016

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

"Macroinvertebrates are small animals without backbones that live on and under submerged logs, rocks, and aquatic plants in the stream bed during some period of their life cycle. They play a central role in stream ecosystems by feeding on periphyton (algae or slime), macrophytes (aquatic plants), dead leaves and wood, or on each other. High Macroinvertebrate Community Index (MCI) scores generally indicate better stream health. Macroinvertebrates are good continuous indicators of the health of their stream environment. This is because they are relatively sedentary and long–lived (a year or more) which means they live with any stresses or changes that occur in their location (eg, pollution, habitat removal, floods and droughts). They complement discrete measures like chemical monitoring, which only reflects the condition at the exact time and place of sampling. Such monitoring might miss effects of a short–lived pollutant or an unanticipated type of disturbance.
This dataset relates to the ""River water quality: benthic macroinvertebrates"" measure on the Environmental Indicators, Te taiao Aotearoa website. "

Layer ID 52713
Data type Vector point
Feature count 512
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Ammoniacal nitrogen trends, 1989–2013

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Creative Commons Attribution 3.0 New Zealand

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10403
51
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 53318
Data type Vector point
Feature count 77
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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8308
78
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

Sunshine hours 2013

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Creative Commons Attribution 3.0 New Zealand

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6677
55
Added
17 Feb 2016

This dataset was first added to MfE Data Service on 17 Feb 2016.

"Sunshine is important for our health and recreation, and for the environment. It is also important for our agriculture-based economy, for example, for plant growth.

This layer shows annual sunshine hours across New Zealand for 2013 as part of the data series for years 1972 to 2013.
Data is for a calendar year (January-December).

The National Institute of Water and Atmospheric Research (NIWA) mapped mean annual sunshine hours from the virtual climate station network data (NIWA) generated from data in its National Climate Database, for the period 1981–2013. It generated the Units: percentage of normal by comparing the annual average to the long-term mean for 1981–2010. Maps were produced using the Virtual Climate Station network data. Data for each year are measured over the calendar year (January–December).

The accuracy of the data source is of high quality.

This dataset relates to the ""Sunshine hours in New Zealand"" measure on the Environmental Indicators, Te taiao Aotearoa website.

Geometry: grid
Unit: hrs/yr"

Layer ID 53266
Data type Grid
Resolution 5110.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Freshwater pests: Rudd

Licence

Creative Commons Attribution 3.0 New Zealand

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9694
25
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 52730
Data type Vector point
Feature count 294
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Total phosphorus, 2009–2013

Licence

Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

7602
56
Added
11 Jan 2016

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

"Phosphorus is an essential nutrient for plant and animal life. Phosphorus can vary due to differences in land use, climate, elevation, and geology. Total phosphorus (TP) includes all concentrations in a sample, whether dissolved, in solid form or bound to sediment in the river. Dissolved reactive phosphorus (DRP) is the portion which is dissolved and can immediately support plant and algae growth. Excess phosphorus in our rivers can cause large amounts of (sometimes toxic) algae to grow, which can harm river health and reduce the recreational and aesthetic value of rivers.
This dataset relates to the "Geographic pattern of phosphorus in river water" measure on the Environmental Indicators, Te taiao "

Layer ID 52737
Data type Vector point
Feature count 716
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Ammoniacal nitrogen, 2009–2013

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Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

8364
47
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 52721
Data type Vector point
Feature count 773
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Average annual chlorophyll-a concentration anomalies 2014

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Creative Commons Attribution 3.0 New Zealand

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4719
10
Added
09 Feb 2016

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

"The annual anomalies where primary productivity for 2014 deviated from the long-term mean (1997–2014).
Concentrations of chl-a in phytoplankton are used to assess primary productivity in our oceans. Phytoplankton are primary producers of biomass and form the basis of the oceans’ food chains."

Layer ID 52827
Data type Grid
Resolution 5000.000m
Services Raster Query API, 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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8926
49
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

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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9416
31
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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