2012 LUCAS Land Use Mapping Final Report Landcare Research

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Added
01 Mar 2015

This item was first added to MfE Data Service on 01 Mar 2015

45
Document ID11103
File name2012-lucas-land-use-mapping-final-report-landcare-research.pdf
TypePDF
Size2.08 MB

Water quality parameters in coastal and estuarine environments (2013)

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Creative Commons Attribution-NonCommercial-NoDerivs 3.0 New Zealand

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1416
57
Added
28 Sep 2015

This dataset was first added to MfE Data Service on 28 Sep 2015.

Coastal and estuarine ecosystems are affected by changes in the levels of nutrients, oxygen, and light. An overload of nutrients can be toxic or lead to algal blooms. These blooms can kill marine life by depleting oxygen levels. Suspended sediment can smother habitats or reduce light levels, affecting photosynthesis. We report on five measures of water quality: turbidity (murkiness), dissolved oxygen, and the dissolved nutrients nitrate- and nitrite-nitrogen, ammoniacal nitrogen, and total phosphorus.
This dataset relates to the "Coastal and estuarine water quality" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52508
Data type Table
Row count 1623
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

National PM10 concentrations 2006–13

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Creative Commons Attribution 3.0 New Zealand

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1417
35
Added
16 Sep 2015

This dataset was first added to MfE Data Service on 16 Sep 2015.

Particulate matter 10 micrometres or less in diameter (PM10) in the air comprises solid particles and liquid droplets from both natural and human-made sources. PM10 can be emitted from the combustion of fuels, such as wood and coal (eg from home heating and industry), and petrol and diesel (from vehicles). Natural sources of PM10 include sea salt, dust, pollen, smoke (from bush fires), and volcanic ash. Nationally, burning wood or coal for home heating is the main human-made source of PM10.

PM10 is of particular concern because it is found in high concentrations in some areas and can damage health. It is associated with effects ranging from respiratory irritation to some forms of cancer.

Column headings:
- Con_mcg_m3 = Concentration in micrograms per cubic metre (μg/m3)

This dataset relates to the "PM10 annual average concentrations" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52442
Data type Table
Row count 8
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Annual average temperature anomaly (1909–2013)

Licence

Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

1386
36
Added
01 Oct 2015

This dataset was first added to MfE Data Service on 01 Oct 2015.

Temperature change is influenced by changes in atmospheric composition that result from greenhouse gas emissions. It is also linked to atmospheric circulation changes (eg the El Niño southern oscillation). It can have a significant effect on agriculture, energy demand, and recreation. The primary purpose of the dataset is to provide a long time series which represents the nation-scale state of climate with respect to temperature in New Zealand.
Further information can be found in:
Tait, A, Macara, G, & Paul, V. (2014) Preparation of climate datasets for the 2015 Environmental Synthesis Report: Temperature, Rainfall, Wind, Sunshine and Soil Moisture. Prepared for Ministry for the Environment. Available at data.mfe.govt.nz/x/Fwn9AL on the Ministry for the Environment dataservice (data.mfe.govt.nz/).
This dataset relates to the "National temperature time series" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52572
Data type Table
Row count 1793
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Annual Average PM2.5 Concentration

Licence

Creative Commons Attribution 3.0 New Zealand

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1393
26
Added
01 Dec 2014

This dataset was first added to MfE Data Service on 01 Dec 2014.

Note: PM2.5 concentrations are given in micrograms per cubic metre of air, or µg/m3.

Source: Regional councils of Wellington, Canterbury; Auckland Council

Table ID 52139
Data type Table
Row count 5
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Annual average Interdecadal Pacific Oscillation Index (1871–2013)

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.

1380
38
Added
01 Oct 2015

This dataset was first added to MfE Data Service on 01 Oct 2015.

The Interdecadal Pacific Oscillation (IPO) describes the long-term oscillation of the Pacific Ocean. The Pacific climate oscillation causes climate fluctuations that can influence New Zealand’s climate. For example, it can affect the strength and frequency of El Niño and La Niña events. In New Zealand, the positive phase of the IPO is linked to stronger west to southwest winds and more rain to the west. Such climate phases can impact on our environment, industries, and recreational activities.
The IPO is similar, and nearly equivalent, to the Pacific Decadal Oscillation (PDO). The PDO is a predictor of the impact of the climate oscillation in the northern Pacific.
This dataset relates to the "Inter-decadal Pacific oscillation" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52591
Data type Table
Row count 143
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Influenza hospital discharges (2000–13)

Licence

Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

1383
33
Added
01 Oct 2015

This dataset was first added to MfE Data Service on 01 Oct 2015.

Influenza is a potentially life-threatening virus that spreads quickly from person to person. It is a significant public health issue in this country, with 10–20 percent of New Zealanders infected every year. While influenza outbreaks can occur all year round, rates peak in winter and spring. This is because the virus can survive longer outside the body in periods of colder weather and low absolute humidity (dry conditions).
This dataset relates to the "Influenza" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52553
Data type Table
Row count 28
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Land cover database v4 0 class orders

Licence

Creative Commons Attribution 3.0 New Zealand

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1323
91
Added
11 Jan 2016

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

"Land cover describes the extent of vegetation, water bodies, built environments, and bare natural surfaces (eg gravel and rock) across New Zealand. Measuring the composition and changes in land cover can help us understand the pressures that different land uses are placing on the biodiversity and functioning of ecosystems.

This data set relates to the "Land cover" measure on the Environmental Indicators, Te taiao Aotearoa website."

Layer ID 52764
Data type Vector multipolygon
Feature count 479353
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

River water quality trends by monitoring site, 1989-2013

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Creative Commons Attribution 3.0 New Zealand

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1319
68
Added
29 Sep 2015

This dataset was first added to MfE Data Service on 29 Sep 2015.

River water quality water is valued for many reasons including ecological function and habitat, recreational value, its role in supporting people and industry, and its cultural significance. Nutrients such as nitrogen and phosphorus are essential for plant growth, however too much in rivers can lead to ‘nuisance’ growths of river algae and aquatic plants, degrading habitat. High concentrations in the form of ammoniacal nitrogen and nitrate-nitrogen can be toxic to fish and other aquatic animals. Water clarity is a measure of underwater visibility, and affects habitat of aquatic life such as fish and birds, and can also impact on aesthetic values and recreational use of rivers and streams.

Trend statistics and calculation results for the periods 1989-2013, 1994-2013, and 2004-2013 are provided by monitored site. Units for parameters are mg/m3, except CLAR (m). Refer to Larned at al. 2015 for further details.

For more information please see:
Larned, S, Snelder, T, Unwin, M, McBride, G, Verburg, P, McMillan, H (2015).Analysis of Water Quality in New Zealand lakes and Rivers: data sources, data sets, assumptions, limitations, methods and results. NIWA Client Report no. CHC2015-033. Available at data.mfe.govt.nz/x/DDui3u from the Ministry for the Environment dataservice.

This dataset relates to the "River water quality" measures on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52531
Data type Table
Row count 4148
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Marine Environment Classification EEZ 20 Classes (2010)

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Creative Commons Attribution 3.0 New Zealand

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1349
32
Added
19 Mar 2015

This dataset was first added to MfE Data Service on 19 Mar 2015.

The Marine Environment Classification (MEC), a GIS-based environmental classification of the marine environment of the New Zealand region, is an ecosystem-based spatial framework designed for marine management purposes.

Several spatially-explicit data layers describing the physical environment define the MEC. A physically-based classification was chosen because data on these physical variables were available or could be modelled, and because the pattern of the physical environment is a reasonable surrogate for biological pattern, particularly at larger spatial scales. Classes within the classification were defined using multivariate clustering methods. These produce hierarchical classifications that enable the user to delineate environmental variation at different levels of detail and associated spatial scales.

Layer ID 52368
Data type Vector multipolygon
Feature count 19
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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