Type 2 Marine Protected Areas (2016 report)

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Creative Commons Attribution 3.0 New Zealand

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8945
60
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 (MPAs) 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.
Type 2 MPAs have lower levels of protection than marine reserves. For example, they may allow fishing but restrict seabed trawling.

Layer ID 53499
Data type Vector multipolygon
Feature count 43
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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8886
79
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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7038
57
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

Long-term average chlorophyll-a concentration, 1997–2014

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Creative Commons Attribution 3.0 New Zealand

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5130
25
Added
08 Feb 2016

This dataset was first added to MfE Data Service on 08 Feb 2016.

The average concentration of chlorophyll-a (chl-a) in phytoplankton over the period 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 52826
Data type Grid
Resolution 5000.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Annual sea surface temperature difference from normal, 2016

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Creative Commons Attribution 4.0 International

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6090
17
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 89396
Data type Grid
Resolution About 4548.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Freshwater pests: Water buttercup

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Creative Commons Attribution 3.0 New Zealand

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9928
16
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 52742
Data type Vector point
Feature count 283
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Long term soil erosion North Island 2012

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Creative Commons Attribution 3.0 New Zealand

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5141
46
Added
09 Feb 2016

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

"Long-term soil erosion is the average mass of soil lost per square kilometre per year (tonnes/km2/year) over a period of approximately 10 years. It is extrapolated from long-term measurements of sediment load in rivers. Extrapolation is based on mean annual rainfall, rock type, and land cover. The total sediment in rivers (tonnes/year) for a particular region is the sum of all soil erosion over the entire region (Dymond et al, 2010). Soil-erosion rates were calculated to 2012.

This data set relates to the "Estimated long-term soil erosion" measure on the Environmental Indicators, Te taiao Aotearoa website."

Layer ID 52832
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Annual rainfall, 2009

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Creative Commons Attribution 3.0 New Zealand

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4482
25
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 2009 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 53010
Data type Grid
Resolution 5110.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

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

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Creative Commons Attribution 3.0 New Zealand

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9063
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

Seasonal rainfall, summer , 1981–2010

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Creative Commons Attribution 4.0 International

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5683
37
Added
12 Oct 2017

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

Rain is vital for life – it supplies the water we need to drink and to grow our food, keeps our ecosystems healthy, and supplies our electricity. New Zealand’s mountainous terrain and location in the roaring forties mean rainfall varies across the country. Changes in rainfall amount or timing can significantly affect agriculture, energy, recreation, and the environment. For example, an increase or decrease of rainfall in spring can have marked effects on crops or fish populations.
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 89414
Data type Grid
Resolution 500.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed
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