Estimated forest carbon stocks - Forest carbon stocks, 1990–2012

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Creative Commons Attribution 3.0 New Zealand

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6228
30
Added
28 Sep 2015

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

New Zealand’s indigenous and exotic forests absorb and store carbon from the atmosphere through photosynthesis. As forests grow, the carbon stored in them increases. These carbon stocks help offset greenhouse gas emissions from sources such as agriculture, energy production, and transport.

Column headings:
type = vegetation type of forest
vol_tC = volume of carbon in tonnes

This dataset relates to the "Estimated forest carbon stocks" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52475
Data type Table
Row count 69
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Emissions from burning wood or coal for home heating 2006 and 2013

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Creative Commons Attribution 3.0 New Zealand

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6287
31
Added
16 Sep 2015

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

In 2013, 37 percent of homes burned wood and 4 percent burned coal for heating. Burning wood or coal for home heating emits a range of air pollutants. It is the main human-made source of particulate matter and a significant contributor of carbon monoxide. Exposure to these pollutants can damage health, with effects ranging from respiratory irritation to cancer.

The proportions of homes using wood or coal for heating vary around the country. Generally, the use of wood and coal for home heating is greater in the South Island than in the North Island. The West Coast has the highest proportion (72 percent use wood, 56 percent use coal), while in contrast Auckland has lower usage (23 percent use wood and 2 percent use coal). Burning wood or coal for home heating continues to be associated with air quality issues, including high levels of PM10, PM2.5, arsenic, and benzo(a)pyrene at some locations.

This dataset relates to the "Home-heating emissions" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52451
Data type Table
Row count 20
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Influenza hospital discharges (2000–13)

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Creative Commons Attribution 3.0 New Zealand

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6207
42
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

New Zealand greenhouse gas emissions summary data, 1990–2015

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Creative Commons Attribution 4.0 International

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6191
54
Added
13 Oct 2017

This dataset was first added to MfE Data Service on 13 Oct 2017.

New Zealand greenhouse gas emissions source and sink summary data by sector and gas for 1990-2015. Data are sourced from the 1990-2015 New Zealand Greenhouse Gas Emissions Inventory. Greenhouse gases (GHGs) absorb heat from Earth’s surface, warming the atmosphere and changing our climate. New Zealand’s share of GHG emissions is very small, but our gross emissions per person are high. Emissions mainly come from combustion of fossil fuels that emit carbon dioxide (CO2), and agriculture which emits methane (CH4) and nitrous oxide (N2O). Carbon dioxide remains in the atmosphere much longer than other major GHGs. Because of this, today’s global CO2 emissions will continue to influence atmospheric CO2 concentrations for a very long time. Methane and N2O trap heat better than CO2 but leave the atmosphere faster.
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.

Table ID 89429
Data type Table
Row count 26
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Southern Annular Mode monthly values, January 1979–December 2016

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Creative Commons Attribution 4.0 International

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6219
25
Added
12 Oct 2017

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

A consistent band of westerly wind flows across the Southern Hemisphere and circles the South Pole. The Southern Annular Mode (SAM) describes how this band moves, either north towards the equator (negative phase) or south towards Antarctica (positive phase). A negative phase typically causes increased westerlies, unsettled weather, and storms in New Zealand. A phase can last several weeks, but changes can be rapid and unpredictable.
The SAM is one of three climate oscillations that affect our weather. The resulting changes in air pressure, sea temperature, and wind direction can last for weeks to decades, depending on the oscillation.
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.

Table ID 89384
Data type Table
Row count 456
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Macroinvertebrate Community Index percentiles, by monitoring site, 2009-13

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Creative Commons Attribution 3.0 New Zealand

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6192
49
Added
29 Sep 2015

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

Benthic macroinvertebrates are small animals without backbones (eg insects and worms). They live on and under submerged logs, rocks, and aquatic plants on the beds of rivers and streams during some part of their life cycle. Macroinvertebrates play a central role in stream ecosystems by feeding on periphyton (algae), macrophytes (aquatic plants), dead leaves and wood, or on each other. A high macroinvertebrate community index (MCI) indicates a high level of river health.

File contains state results for each monitored site, expressed as percentile calculations for the period 2009-2013. See Larned et 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: Benthic macroinvertebrates" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52534
Data type Table
Row count 512
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Days with wind gusts greater than gale force (1975–13)

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Creative Commons Attribution 3.0 New Zealand

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6195
43
Added
01 Oct 2015

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

Strong wind events can cause significant damage, for example, to trees and buildings. They can occur with frontal weather systems and around strong convection events, such as thunderstorms. Global climate change may change the frequency of damaging wind events in almost all areas in New Zealand in winter and decrease the frequency in summer. Monitoring can help us gauge the potential of, and prepare for, such events.
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 "Occurrence of potentially damaging wind" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52585
Data type Table
Row count 8203
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Economic performance of the agriculture industry - Real agricultural GDP, 1978-2014

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Creative Commons Attribution 3.0 New Zealand

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6212
19
Added
28 Sep 2015

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

Data on the economic performance of the agriculture industry describes agriculture’s contribution to the New Zealand economy. It provides supporting information for the land, atmosphere and climate, and freshwater domains.

This dataset relates to the "Economic performance of the agriculture industry" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52492
Data type Table
Row count 146
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

El Niño Southern Oscillation Index (1909–2013)

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Creative Commons Attribution 3.0 New Zealand

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6143
88
Added
01 Oct 2015

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

El Niño Southern Oscillation (ENSO). It is an important predictor of how tropical oceans and climate might influence New Zealand’s climate. Being able to predict the timing and intensity of an El Niño or La Niña climate phase is important in predicting and preparing for extreme climatic conditions, such as strong winds, heavy rain, or drought. Such extreme conditions can impact on our environment, industries, and recreational activities. ENSO is commonly measured using the Southern Oscillation Index (SOI).
In New Zealand, an El Niño phase can cause colder winters. In summer it can result in more rain in the west and drought in the east. A La Niña phase can cause warmer temperatures, more rain in the north-east, and less rain in the south and south-west.
This dataset relates to the "El Niño Southern Oscillation" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52589
Data type Table
Row count 1729
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Estimated long-term soil erosion - Average volume of soil erosion, by region, 2012

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Creative Commons Attribution 3.0 New Zealand

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6180
36
Added
28 Sep 2015

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

Soil erosion reduces the productive capacity of land. Sediment entering waterways affects water quality, storage capacity, and biodiversity. Soil erosion in the North Island is primarily due to the historical clearance of forest on steep slopes for pastoral agriculture. South Island soil erosion is primarily due to high rainfall and steep mountainous terrain.

Column headings:
vol_tkm2yr = volume of soil lost per year measured in tonnes per square kilometer

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

Table ID 52483
Data type Table
Row count 17
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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