Farm numbers - Farm numbers by agricultural activity, 2002, 2007, and 2012

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Creative Commons Attribution 3.0 New Zealand

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7462
127
Added
28 Sep 2015

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

Farm numbers describes the number of large commercial properties (registered for goods and services tax) that farm crops and/or livestock. It is important to measure the number of large farms involved in these agricultural activities because their extent determines their impacts on soil health and water quality.

Column headings:
num_farms = number of farms

This dataset relates to the "Farm numbers" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52472
Data type Table
Row count 408
Services 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.

8503
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

Lightning strikes, 2001–2016

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Creative Commons Attribution 4.0 International

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6446
180
Added
16 Oct 2017

This dataset was first added to MfE Data Service on 16 Oct 2017.

Lightning is the discharge of electricity from thunderstorms and can occur within a cloud, between clouds, or between a cloud and the ground. By international standards, lightning does not occur frequently around New Zealand. However, ground strikes can injure or kill people and livestock, damage property and infrastructure, and, although rarely in New Zealand, spark forest fires. Thunderstorms are often associated with other severe weather events, such as strong wind gusts and hail. Thunderstorms may increase in frequency and intensity with climate change.
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 89470
Data type Table
Row count 2903389
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Air pollutant emissions, 2012-2019

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Creative Commons Attribution 4.0 International

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74
3
Added
13 Oct 2021

This dataset was first added to MfE Data Service on 13 Oct 2021.

The air pollutant emissions indicator reports on national human-generated (anthropogenic) emissions of particulate matter (PM10 – particles smaller than 10 micrometres and PM2.5 – the subset of PM10 particles that are smaller than 2.5 micrometres), nitrogen oxides (NOx), carbon monoxide (CO), and sulphur dioxide (SO2), between 2012 and 2019. The grouped sources include: energy (combustion), transport, construction (non-combustion), road dust, industrial (non-combustion), agriculture, biomass burning, and waste. Only human-generated emissions were included in this emission inventory.

When air pollution levels are high, they can affect human and ecosystem health. An emissions inventory provides information on the sources and quantities of key air pollutants that are released into the atmosphere. By understanding the amounts that different sources contribute, air quality can be better managed and modelled.

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 106232
Data type Table
Row count 684
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

River water quality modelled, state, 2013–2017

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Creative Commons Attribution 4.0 International

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1763
586
Updated
22 Apr 2021

This dataset was last updated on MfE Data Service on 22 Apr 2021.

23 April 2021: A new version of this data set has been published. It includes data on 4 parameters (Ammoniacal nitrogen (adjusted), Escherichia coli, Macroinvertebrate Community Index and Total Phosphorus) that had been missing from the file that was published as part of the Our freshwater 2020 release in April 16 2020. The updated data set also includes data on DRP for all 593,337 REC segments, since the file from April 16 2020 only had data for 255,860 of these segments.

16 April 2020: Subsequent to publication in April 2019 we discovered two small errors with this dataset. These included:

  • Errors in the coordinates of some sites and their associated metadata (such as landcover and elevation).
  • Errors in our calculation of dominant landcover.

In addition, flow data from TopNet has also been updated.

These changes have a minor impact on overall results. These changes have have been corrected, and are republished here, as part of the Our freshwater 2020 release.

IMPORTANT INFORMATION

1) The main (cleaned) dataset is structured by each row having a nzsegment and np_id combination. A large dataset (~ 1 GB) has resulted, due to the inclusion of the ANZG/NOF columns and the 10 different np_id values. There are ~ 6 million rows to this dataset, however a 32-bit version of Microsoft Excel will only display/download ~ 1 million rows. __A DBMS, statistical or GIS application is needed to view the entire dataset__.

2) A smaller raw dataset (see attachments) is provided which structures each row relating to a river segment and drops the ANZG/NOF columns.

3) The attached metadata/date quality report provides further information on the NOF, ANZG and the "McDowell meet/doesnt meet" attachment.

This dataset contains ten parameters of water quality based on measurements made at monitored river sites:

  • Nitrate-nitrogen
  • Ammoniacal nitrogen
  • Ammoniacal nitrogen (adjusted)
  • Total nitrogen
  • Total phosphorus
  • Dissolved reactive phosphorus
  • Water clarity
  • Turbidity
  • Escherichia coli
  • Macroinvertebrate community index These parameters are used to measure:
  • Modelled median values for all of New Zealand’s river length for the period 2013 to 2017
  • For selected indicators, how the modelled values compare to the National Objectives Framework (NOF) (MfE, 2017) bands related to ecosystem health and human health for recreation, and to expected concentrations in natural conditions, as shown by the default guideline values in the Australian and New Zealand guidelines for fresh and marine water quality (ANZG, 2018)

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.

Summary report available at www.mfe.govt.nz/publications/fresh-water/spatial-m...

Table ID 99871
Data type Table
Row count 5933730
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Conservation status of indigenous species 2018

Licence

Creative Commons Attribution 4.0 International

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6044
46
Added
16 Apr 2019

This dataset was first added to MfE Data Service on 16 Apr 2019.

Many of New Zealand’s indigenous plants and animals are endemic – found nowhere else in the world – and are our national taonga (treasure). New Zealand species make a significant contribution to global biodiversity, which is important for ecosystem processes and resilience, mahinga kai (traditional food gathering), and culture and recreation.

Conservation status is a representation of the threat classification of resident indigenous plant and animal species. The Department of Conservation (DOC) developed the New Zealand Threat Classification System (NZTCS) to provide a national system that is similar to the International Union for Conservation of Nature and Natural Resources Red List.

We report on four conservation status categories: threatened, at risk, not threatened, and data deficient. Conservation status categories ‘threatened’ and ‘at risk’ are divided into subcategories that provide more information on the species’ threat of extinction classification (adapted from Townsend et al, 2008). Species are classified as ‘data deficient’ if we lack information on the species, making threat classification assessment not possible.

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 99875
Data type Table
Row count 10667
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Annual mean sea level (relative to land) (1900–2013)

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Creative Commons Attribution 3.0 New Zealand

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8157
185
Added
28 Sep 2015

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

Sea-level rise is a consequence of climate change. Increases in global temperature cause ocean waters to expand, and glaciers and ice sheets to melt into oceans. Sea-level rise affects estuaries, coastal wetlands, and intertidal and sub-tidal habitats and species. The increased likelihood of coastal erosion from sea-level rise presents a risk for seaside communities and their infrastructure, and for the marine environment itself, from increased suspended sediments.
This dataset relates to the "Coastal sea-level rise" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52523
Data type Table
Row count 575
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Cumulative occupancy of key non-indigenous species by species (2009–2015)

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Creative Commons Attribution 3.0 New Zealand

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6210
17
Added
19 Oct 2016

This dataset was first added to MfE Data Service on 19 Oct 2016.

Marine non-indigenous (exotic) species arrive in New Zealand waters on the hulls of international vessels (biofouling) or in discharged ballast waters. Some have little impact or cannot survive in New Zealand waters; others have a negative impact on our native habitats and species and become pests. They can compete with, and prey on, indigenous species, modify natural habitats, affect marine industries or can alter ecosystem processes. The potential impact of non-indigenous species on our native habitats and species means they could threaten our cultural and natural heritage, as well as economic activities such as commercial and recreational fishing, shellfish harvesting, and aquaculture.

Table ID 53492
Data type Table
Row count 56
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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6564
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

Proportion of fish stocks meeting or exceeding performance thresholds (2009–14)

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Creative Commons Attribution 3.0 New Zealand

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5733
62
Added
28 Sep 2015

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

Our fish stocks are affected by commercial, customary, and recreational fishing, and environmental pressures (eg ocean temperature, acidity, and productivity). The Ministry for Primary Industries uses three performance measures to assess influences on fish stocks: a soft limit (below which a rebuilding plan is required), a hard limit (below which closing a fishery should be considered), and an overfishing threshold (where the rate of extraction is higher than the rate of replenishment).
This dataset relates to the "State of fish stocks" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52512
Data type Table
Row count 58
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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