Creative Commons Attribution 4.0 International
You may use this work for commercial purposes.
You must attribute the creator in your own works.
This dataset was first added to MfE Data Service on 28 Nov 2022.
The Stock Exclusion Medium Slope Land 2022 layer identifies areas with a slope of between 5 and 10 degrees below 500m in altitude where excluding stock from waterways is likely to be practical and advisable. This layer has been created using the same method used to create the Stock Exclusion Low Slope Land 2022 layer which represents "Low Slope Land" as defined in the Resource Management (Stock Exclusion) Regulations 2020. This layer is intended to be used in conjunction with the Stock Exclusion Low Slope Land 2022 layer to support planning for stock exclusion.
Layer ID | 111151 |
---|---|
Data type | Vector multipolygon | Feature count | 65610 |
Services | Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W) |
Creative Commons Attribution 4.0 International
You may use this work for commercial purposes.
You must attribute the creator in your own works.
This dataset was last updated on MfE Data Service on 28 Nov 2022.
The Stock Exclusion Low Slope Land 2022 layer identifies areas of "Low Slope Land" as defined in the Resource Management (Stock Exclusion) Regulations 2020. The layer shows land with a local slope of less than or equal to 5 degrees where beef cattle and deer are required to be excluded from waterways. Areas of lakes, ponds, settlements, urban parkland, transport infrastructure and estuarine open water, as defined in Land Cover Database 5, are excluded. Areas over 500m in altitude are also excluded. This layer replaces the Stock Exclusion Low Slope Land 2020 layer.
Layer ID | 111150 |
---|---|
Data type | Vector multipolygon | Feature count | 31110 |
Services | Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W) |
This data set reports on state for the period 2016 to 2020.
Coastal and estuarine ecosystems are affected by changes in water quality.
Nutrients
The two main nutrients of concern in coastal and estuarine ecosystems are nitrogen and, to a lesser degree, phosphorus. An overload of nutrients (eutrophication) can lead to algal blooms that can kill marine life by depleting oxygen levels. Some bloom-forming algal species also contain toxins that can harm marine life, and can pass through food chains to humans (for example, via shellfish poisoning).
Microbiological
Abundant Enterococci _and faecal coliform bacteria indicate the possible presence of human faecal pathogens in coastal waters and represent the risk of infectious disease. Chlorophyll-_a is a measure of phytoplankton biomass and is a primary indicator of eutrophication.
Optical
High suspended sediment concentrations are associated with estuarine and coastal sedimentation, reduced light levels in benthic (seabed) environments, and reduced feeding rates and health of estuarine and coastal animals (Lowe et al., 2015). Visual clarity and turbidity are monitored because light affects primary production, plant and animal distributions and ecological health, aesthetic quality, and recreational values (Davies-Colley et al., 2003).
Physico-chemical
Dissolved oxygen is fundamental to supporting marine life. Low levels of dissolved oxygen can have adverse effects on aquatic fauna, from reduced growth rates to death from lack of oxygen (Tomasetti & Gobler, 2020). Decreased pH results from the absorption of CO2 from the atmosphere by seawater but can also reflect local processes caused by eutrophication (Cai et al., 2011; Fraser et al., 2021). Changes in the pH of seawater can have harmful effects on marine life, impacting chemical communication, reproduction, and growth. The building of skeletons in marine organisms is particularly sensitive to acidity, so acidification (lower pH) of sea waters can be harmful for organisms such as shellfish and corals (Fabry et al., 2008). Salinity provides information on the freshwater content of coastal waters. Water temperature is important as it controls biochemical processes and affects the balance of parameters such as dissolved oxygen levels. As a result, seawater temperature determines distributions of many marine plants and animals (Kleisner et al., 2017).
Adapted by Ministry for the Environment and Statistics New Zealand to provide for environmental reporting transparency. Dataset used to develop the "Coastal and estuarine water quality, trends" indicator (available at Coastal and estuarine water quality | Stats NZ).
Layer ID | 111138 |
---|---|
Data type | Vector point | Feature count | 24467 |
Services | Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed |
This data set reports on trends for 15 coastal and estuarine water quality measures, grouped below by type, monitored at sites across Aotearoa New Zealand between 2006 and 2020:
We present trends for the period 2011 to 2020.
Coastal and estuarine ecosystems are affected by changes in water quality.
Nutrients
The two main nutrients of concern in coastal and estuarine ecosystems are nitrogen and, to a lesser degree, phosphorus. An overload of nutrients (eutrophication) can lead to algal blooms that can kill marine life by depleting oxygen levels. Some bloom-forming algal species also contain toxins that can harm marine life, and can pass through food chains to humans (for example, via shellfish poisoning).
Microbiological
Abundant Enterococci _and faecal coliform bacteria indicate the possible presence of human faecal pathogens in coastal waters and represent the risk of infectious disease. Chlorophyll-_a is a measure of phytoplankton biomass and is a primary indicator of eutrophication.
Optical
High suspended sediment concentrations are associated with estuarine and coastal sedimentation, reduced light levels in benthic (seabed) environments, and reduced feeding rates and health of estuarine and coastal animals (Lowe et al., 2015). Visual clarity and turbidity are monitored because light affects primary production, plant and animal distributions and ecological health, aesthetic quality, and recreational values (Davies-Colley et al., 2003).
Physico-chemical
Dissolved oxygen is fundamental to supporting marine life. Low levels of dissolved oxygen can have adverse effects on aquatic fauna, from reduced growth rates to death from lack of oxygen (Tomasetti & Gobler, 2020). Decreased pH results from the absorption of CO2 from the atmosphere by seawater but can also reflect local processes caused by eutrophication (Cai et al., 2011; Fraser et al., 2021). Changes in the pH of seawater can have harmful effects on marine life, impacting chemical communication, reproduction, and growth. The building of skeletons in marine organisms is particularly sensitive to acidity, so acidification (lower pH) of sea waters can be harmful for organisms such as shellfish and corals (Fabry et al., 2008). Salinity provides information on the freshwater content of coastal waters. Water temperature is important as it controls biochemical processes and affects the balance of parameters such as dissolved oxygen levels. As a result, seawater temperature determines distributions of many marine plants and animals (Kleisner et al., 2017).
Adapted by Ministry for the Environment and Statistics New Zealand to provide for environmental reporting transparency. Dataset used to develop the "Coastal and estuarine water quality, trends" indicator (available at ++Coastal and estuarine water quality | Stats NZ++).
Layer ID | 111131 |
---|---|
Data type | Vector point | Feature count | 3024 |
Services | Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed |
Creative Commons Attribution 4.0 International
You may use this work for commercial purposes.
You must attribute the creator in your own works.
This dataset was first added to MfE Data Service on 11 Aug 2022.
Note that this is a large dataset so is provided as a shapefile, and will need a GIS application to view.
Adapted by Ministry for the Environment and Statistics New Zealand to provide for environmental reporting transparency. Dataset used to develop the "River water quality: phosphorus" indicator (available at www.stats.govt.nz/indicators/river-water-quality-p...).
Phosphorus 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. Phosphorus is an essential nutrient for plants and is a natural component of healthy rivers. Agricultural and urban land use, and infrastructure such as wastewater treatments plants, can add more phosphorus to waterways, which can increase algae growth and biomass. This in turn causes deterioration of river habitats.
This dataset includes:
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...
Layer ID | 109934 |
---|---|
Data type | Vector linestring | Feature count | 1780119 |
Services | Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed |
Creative Commons Attribution 4.0 International
You may use this work for commercial purposes.
You must attribute the creator in your own works.
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: Nitrogen” indicator, (available at www.stats.govt.nz/indicators/river-water-quality-n...).
Nitrogen 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. Nitrogen is an essential nutrient for plants and algae. Some nutrient supply is a natural component of healthy rivers, but agricultural and urban land use, and infrastructure such as wastewater treatment plants, can add more nitrogen to waterways. Too much nitrogen can lead to excessive growth of algae, which can deteriorate river habitats. In very high concentrations, some forms of nitrogen, including nitrate-nitrogen and ammoniacal nitrogen, can be toxic to aquatic life.
This dataset shows:
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...
Layer ID | 109888 |
---|---|
Data type | Vector linestring | Feature count | 3560238 |
Services | Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed |
Creative Commons Attribution 4.0 International
You may use this work for commercial purposes.
You must attribute the creator in your own works.
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: clarity and turbidity" indicator (available atwww.stats.govt.nz/indicators/river-water-quality-c...).
This dataset contains two attributes of water quality based on measurements made at monitored river sites:
Clarity and turbidity 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:
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 atenvironment.govt.nz/publications/environment-aotea... .
Note that this is a large dataset so is provided as a shapefile, and will need a GIS application to view.
Layer ID | 109887 |
---|---|
Data type | Vector linestring | Feature count | 1186746 |
Services | Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed |
Creative Commons Attribution 4.0 International
You may use this work for commercial purposes.
You must attribute the creator in your own works.
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 modelled data for rivers:
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:
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....
Note that this is a large dataset so is provided as a shapefile, and will need a GIS application to view.
Layer ID | 109886 |
---|---|
Data type | Vector linestring | Feature count | 2373492 |
Services | Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed |
Creative Commons Attribution 4.0 International
You may use this work for commercial purposes.
You must attribute the creator in your own works.
This dataset was first added to MfE Data Service on 11 Aug 2022.
Note that this is a large dataset so is provided as a shapefile, and will need a GIS application to view.
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:
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....
Layer ID | 109885 |
---|---|
Data type | Vector linestring | Feature count | 593373 |
Services | Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed |
Creative Commons Attribution 4.0 International
You may use this work for commercial purposes.
You must attribute the creator in your own works.
This dataset was first added to MfE Data Service on 02 Aug 2022.
INDEX ONLY: These footprints are the index for the 'Sentinel2 2022 Mainland NZ' mosaic. It has been provided to enable users to explore coverage and capture dates of the component imagery. To enquire about ordering the imagery itself, please e-mail lucas[at]mfe.govt.nz.
This imagery is 10m, ten-band multispectral 1 (“B2” 490nm), 2 (“B3” 560nm), 3 (“B4” 665nm), 4 (“B5” 705nm), 5 (“B6” 740nm), 6 (“B7” 783nm), 7 (“B8” 842nm), 8 (“B8a” 865nm), 9 (“B11” 1610nm), 10 (“B12” 2190nm), cloud-minimised mosaics of Sentinel 2A and 2B satellite tiles over mainland New Zealand made from scenes captured late-2021/early-2022.
Layer ID | 109847 |
---|---|
Data type | Vector multipolygon | Feature count | 176 |
Services | Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed |