Conservation status of marine mammals

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Creative Commons Attribution 3.0 New Zealand

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7880
48
Added
19 Oct 2016

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

New Zealand has a diverse range of marine mammal species and subspecies, including whales, dolphins, seals, and sea lions. Marine mammals are indicator species for the state of our marine environment. The conservation status of a species relates to its risk of extinction.
Many of these species are endemic (only found in) to New Zealand. They are apex species (near the top of the food chain) and can thrive only if their ecosystems are healthy. A decreasing population can indicate that the ecosystem is degrading. Marine mammals played an important part in New Zealand history; in the past whales and seals were hunted in great numbers. Now we have a rapidly-growing whale- and dolphin-watching industry.

Table ID 53481
Data type Table
Row count 29
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

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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9397
136
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

Rainfall, 1960–2016

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Creative Commons Attribution 4.0 International

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10360
358
Added
12 Oct 2017

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

Daily rainfall values for 30 representative sites from 1960–2016.
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.

Table ID 89401
Data type Table
Row count 617808
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

River water quality: Escherichia coli, state, 2016 - 2020

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Creative Commons Attribution 4.0 International

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481
2
Added
11 Aug 2022

This dataset was first added to MfE Data Service on 11 Aug 2022.

Adapted by Ministry for the Environment and Statistics New Zealand to provide for environmental reporting transparency. Dataset used to develop the "River water quality: Escherichia coli" indicator (available at www.stats.govt.nz/indicators/river-water-quality-e...).

This dataset contains one parameter of water quality based on measurements made at monitored river sites:

  • Escherichia coli

Escherichia coli in river waters is one of five parameters that provide an overview of New Zealand’s river water quality and how it is changing over time.

This dataset includes:

  • E. coli concentrations measured at monitoring sites for New Zealand’s river length for the period 2016–2020
  • A comparison of measured E. coli concentrations at monitored sites with the proportion of human modified landcover in the upstream catchment area
  • predicted risk of Campylobacter infection, as shown by the median concentration, 95th percentile and percentage of results above 260 and 540 colony forming units per 100 millilitres (cfu/100 mL) compared to the National Objectives Framework (NOF) bands related to human contact

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 environment.govt.nz/publications/environment-aotea....

Table ID 109661
Data type Table
Row count 10970
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

El Niño Southern Oscillation, 1876 - 2019

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Creative Commons Attribution 4.0 International

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3008
23
Added
14 Oct 2020

This dataset was first added to MfE Data Service on 14 Oct 2020.

DATA SOURCE: National Institute for Water and Atmospheric Research (NIWA)
[Technical report available at www.mfe.govt.nz/publications/environmental-reporti...]

Adapted by Ministry for the Environment and Statistics New Zealand to provide for environmental reporting transparency

Dataset used to develop the "El Niño Southern Oscillation" indicator [available at www.stats.govt.nz/indicators/el-nino-southern-osci...]

This indicator measures the El Niño Southern Oscillation (ENSO), the movement of warm equatorial water across the Pacific Ocean and the atmospheric response, using the Southern Oscillation Index (SOI). The SOI measures changes in atmospheric pressures across the Pacific.

We report the monthly average and 6-month rolling average SOI from 1876 to 2019, as well as the annual average SOI for this same period alongside New Zealand’s de-trended temperature from 1909 to 2019.

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 105060
Data type Table
Row count 1740
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Shark catch use (2003–2015)

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Creative Commons Attribution 3.0 New Zealand

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7817
42
Added
19 Oct 2016

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

New Zealand waters have at least 117 species of chondrichthyans (sharks, rays, and other cartilaginous fish species). They are particularly vulnerable to overfishing because they are long-lived, mature slowly, and have a low reproductive rate. Chondrichthyans are important for healthy ocean ecosystems, and reporting their commercial catch and bycatch helps us understand the sustainability of our fisheries.

Table ID 53482
Data type Table
Row count 52
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Natural river flow statistics, predicted for all river reaches

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Creative Commons Attribution 3.0 New Zealand

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11579
288
Added
29 Sep 2015

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

River flow is the quantity of water passing a point over a certain time. Each river or stream has its own natural flow characteristics, such as peak flows following rain or high spring flows from snow melt. Overall, this affects how much water is available for irrigation, drinking water, hydroelectricity generation, and recreational activities. River flows also influence a waterway’s physical form, habitat, and ecological processes like migration, spawning, and food supply for aquatic life.

This dataset relates to the "The geographic pattern of river flows" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52536
Data type Table
Row count 570579
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

River water quality: Macroinvertebrate community index, state, 2016 - 2020

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Creative Commons Attribution 4.0 International

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474
3
Added
11 Aug 2022

This dataset was first added to MfE Data Service on 11 Aug 2022.

Adapted by Ministry for the Environment and Statistics New Zealand to provide for environmental reporting transparency. Dataset used to develop the "River water quality: macroinvertebrate community index" indicator (available at www.stats.govt.nz/indicators/river-water-quality-m...).

Benthic macroinvertebrates are small animals without backbones (for example, 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. In turn, they are an important food source for fish and birds.

The macroinvertebrate community index (MCI) is used as an indicator of water quality and overall stream health. It is one of five parameters that provide an overview of New Zealand’s river water quality and how it is changing over time. This data shows:

  • MCI scores as measured median values at monitored sites for the period 2016–2020
  • how these compare to the macroinvertebrates National Objectives Framework (NOF) bands related to ecosystem health.

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 environment.govt.nz/publications/environment-aotea....

Table ID 109666
Data type Table
Row count 10760
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Coastal and oceanic extreme waves 2008 - 2017

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Creative Commons Attribution 4.0 International

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2927
23
Added
16 Oct 2019

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

Extreme wave events can damage marine ecosystems and affect coastal infrastructure, ocean-based industries, and other human activities.

Changing wave characteristics can have impacts on natural systems, as most coastal and near-shore biological communities can be damaged or destroyed by extreme wave action (Ummenhofer & Mehl, 2017). In another example, extreme waves can disrupt ferries such as those crossing the Cook Strait. Sailings are often cancelled when significant wave heights exceed six metres.

It is important to report on extreme waves to gain greater insight into their frequency, particularly as sea level and storm surges are projected to increase and can compound wave effects.

In this dataset, an extreme wave event is defined as a continuous 12-hour period during which the significant wave height equals or exceeds one of three height thresholds: four, six, or eight metres.

Four-metre-tall waves are considered extreme in the northern-most parts but are more common in the south. For the southern-most parts of New Zealand, eight-metre waves better represent extreme wave events.

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 104060
Data type Table
Row count 793
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Global and New Zealand temperatures, five year running average (1911–2010)

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Creative Commons Attribution 3.0 New Zealand

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7227
47
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 aim of the datasets is to provide a tool to show average New Zealand and global temperatures compared to a reference temperature in order to compare this with expected global climate change in response to mechanisms such as atmospheric carbon dioxide, volcanic aerosols, and solar irradiance changes. 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 52573
Data type Table
Row count 929
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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