Benthic protection areas (2016 report)

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Creative Commons Attribution 3.0 New Zealand

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7813
58
Added
19 Oct 2016

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

New Zealand’s four million km2 marine environment is diverse, with a range of coastal habitats and offshore seabed environments. There are also many marine species unique to New Zealand. Marine protected areas conserve or manage some of these unique habitats and species, while a range of other tools also provide marine protection. We report on the area covered by these tools as an indirect measure to understand the state of the marine environment.
Benthic protection areas (protected seabed areas) are one of the marine protection tools used. They are designated areas in the exclusive economic zone, which extends from the 12 nautical mile seaward limit of the territorial sea to the 200 nautical mile limit. Bethnic protection areas protect seabed habitats through the prohibition of bottom trawling and dredging. There are some areas where seamount closures overlap with benthic protection areas. In these cases the seamount closure restrictions apply.
Note that the thumbnail preview of this spatial data does not reflect the data underlying it. Please see the methodology for a more reflective preview.

Layer ID 53494
Data type Vector multipolygon
Feature count 17
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Lightning recorders

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Creative Commons Attribution 3.0 New Zealand

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7884
27
Added
18 Feb 2016

This dataset was first added to MfE Data Service on 18 Feb 2016.

Lightning is the discharge of electricity from thunderstorms. Ground strikes can cause significant damage to property and infrastructure, and injure or kill people and livestock. Lightning is often associated with other severe weather events, such as strong wind gusts. Thunderstorms may increase in frequency and intensity with climate change.

This dataset shows the location of sensors in the New Zealand Lightning Detection Network (NZLDN), run by MetService.

Sensors around the country detect lightning over the New Zealand land mass and a short distance out to sea. These sensors detect very accurately the electrical discharge, location, and time, as well as noting other parameters such as current strength. The NZLDN records both cloud-to-cloud and cloud-to-ground strikes.

Layer ID 53312
Data type Vector point
Feature count 10
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

River Environment Classification Watershed Auckland (2010)

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Creative Commons Attribution 3.0 New Zealand

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7794
86
Added
23 Dec 2013

This dataset was first added to MfE Data Service on 23 Dec 2013.

The New Zealand River Environment Classification (REC) organises information about the physical characteristics of New Zealand's rivers. Individual river sections are mapped according to physical factors such as climate, source of flow for the river water, topography, and geology, and catchment land cover eg, forest, pasture or urban. Sections of river that have similar ecological characteristics can then be grouped together, no matter where they are.

This information is mapped for New Zealand's entire river network - over 425,000 kilometres of river. Different types of rivers respond differently to the pressures placed on them - the REC can be used to highlight the most appropriate management tools and approaches to reduce these pressures for each river type. Information from the classification is used to develop policy, assess the environment, and report on the quality of river water.

Stream order is the numerical position of a tributary or section of a river within the entire network. Headwater streams are assigned a stream order of 1. When two tributaries of the same stream order meet, the order increments by one for the next section downstream. However, if two sections meet where one section has higher order than the other, the next section downstream has the same order as the highest upstream section.

The User Guide is available from data.mfe.govt.nz/document/123-rec-user-guide-2010/ . Additional metadata can be found at www.mfe.govt.nz/publications/ser/metadata/env-clas... .

Layer ID 51809
Data type Vector polygon
Feature count 10856
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Distribution of possums 2002–2014

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Creative Commons Attribution 3.0 New Zealand

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7768
59
Added
12 Feb 2016

This dataset was first added to MfE Data Service on 12 Feb 2016.

"The pressure from animal and plant pests is one of the biggest threats to biodiversity in the land environment. Pest predators (such as stoats and possums) eat eggs, birds, lizards, insects, and snails. Other animal pests (such as deer and goats) damage and kill trees and other plants and can compete with indigenous animals for the plants’ fruit and seed. Pest plants can out-grow the local vegetation. All these activities can dramatically change both our indigenous and agricultural environments.

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

Layer ID 53158
Data type Image/Raster
Resolution 100.000m
Services Catalog Service (CS-W), data.govt.nz Atom Feed

River Environment Classification Waikato (2010) (DEPRECATED)

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Creative Commons Attribution 3.0 New Zealand

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7006
183
Added
23 Dec 2013

This dataset was first added to MfE Data Service on 23 Dec 2013.

The New Zealand River Environment Classification (REC) organises information about the physical characteristics of New Zealand's rivers. Individual river sections are mapped according to physical factors such as climate, source of flow for the river water, topography, and geology, and catchment land cover eg, forest, pasture or urban. Sections of river that have similar ecological characteristics can then be grouped together, no matter where they are.

This information is mapped for New Zealand's entire river network - over 425,000 kilometres of river. Different types of rivers respond differently to the pressures placed on them - the REC can be used to highlight the most appropriate management tools and approaches to reduce these pressures for each river type. Information from the classification is used to develop policy, assess the environment, and report on the quality of river water.

Stream order is the numerical position of a tributary or section of a river within the entire network. Headwater streams are assigned a stream order of 1. When two tributaries of the same stream order meet, the order increments by one for the next section downstream. However, if two sections meet where one section has higher order than the other, the next section downstream has the same order as the highest upstream section.

Additional metadata can be found at www.mfe.govt.nz/publications/ser/metadata/env-clas... .

Layer ID 51856
Data type Vector linestring
Feature count 50723
Services Vector Query API, 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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7292
58
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

Natural river flow statistics, predicted for all river reaches

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Creative Commons Attribution 3.0 New Zealand

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7246
260
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 percentiles, by monitoring site, 2009-2013

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Creative Commons Attribution 3.0 New Zealand

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7012
222
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. Escherichia coli bacteria can indicate the presence of pathogens (disease-causing organisms) from animal or human faeces, which can cause illness.
State (percentile) results for the following parameters, by monitored site for the period 2009–2013, are provided. Refer to Larned at al (2015) for further details.

 Clarity (CLAR), m
 Ammoniacal nitrogen (NH4N), mg/m3
 Nitrate nitrogen (NO3N), mg/m3
 Total nitrogen (unfiltered) (TN), mg/m3
 Dissolved reactive phosphorus (DRP), mg/m3
 Total phosphorus (unfiltered) (TP), mg/m3
 Escherichia coli (ECOLI), n/100 mL

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/s9WT2y 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 52533
Data type Table
Row count 40095
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

NZ Coastal Hydrosystems

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Creative Commons Attribution 3.0 New Zealand

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7299
92
Added
02 Feb 2017

This dataset was first added to MfE Data Service on 02 Feb 2017.

Coastal hydrosystems describe coastal features that span a gradient from near coast freshwater lakes/wetlands (lacustrine/palustrine environments) to marine. The term 'coastal hydrosystem' avoids the common error of referring to all such features as estuaries, mislabelling the numerous types that are non-estuarine and have different behavioural characteristics and management sensitivities from any truly estuarine environment. It also encompasses the coastal systems that do not represent end-of-river environments (e.g., some pocket beaches and embayments) or are so large and complex as to be fed by several freshwater drainage features (rivers, streams, wetlands) but which are dominated by none (e.g., some harbours, fjords, sounds and coastal-lacustrine systems). It also incorporates the multiple aspects of each system, including beaches, spits, barriers, river mouths, wetlands, saltmarshes and other geomorphic, ecological and hydrological features.

The New Zealand Coastal Hydrosystem classification (NZCH) is a classification of coastal hydrosystems within New Zealand including some offshore islands. The coastal hydrosystems classification is based on a hierarchical view of the abiotic components that comprise the environments of coastal hydrosystems. This classification presents detail at the geomorphic class level because this level is particularly important for coastal management and conservation needs at national and regional scales.

The primary GIS is the point layer. Supporting files (attached) include: a CSV database of environmental variables; GIS polygon layer; and Google Earth (.kmz) point and polygon exports.

The database, GIS and Google Earth files should be used in conjunction with the Classification of New Zealand's Coastal Hydrosystems report (Hume et al. 2016) (also attached) which documents a full description of the database, the calculation procedures and limitations to the variables.

The spreadsheet comprises a database of 500 New Zealand coastal hydrosystems and their associated environmental variables developed for the report.

The GIS point file comprises 500 New Zealand coastal hydrosystems and their associated environmental variables developed for the database. The environmental variables are mapped at 1:50,000 scale.

NOTE: Within the point attribute file -9999 represents the environmental variables with no data as shown in the spreadsheet as a blank cell. Make sure to exclude these values from analyses.

The polygon files comprise 420 New Zealand coastal hydrosystems depicting their general shape of the water body basin at high tide and upstream limit.

The .kmz files are derived from the NZCH GIS point and polygon layers for use with Google Earth.

The report provides a classification of coastal hydrosystems within New Zealand including some offshore islands. The coastal hydrosystems classification reconciles and clarifies coastal hydrosystem terminology and produces a hierarchy and classification of coastal wetland, riverine, estuarine and marine types. This report identifies and provides a list of environmental variables that describe the characteristics and properties of about 500 discrete coastal hydrosystems that can be used to provide national and regional statistics on coastal hydrosystems. An Identification Key is provided to guide the determination of the classes.

Layer ID 53565
Data type Vector point
Feature count 500
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Annual average sea surface temperature, 2006

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Creative Commons Attribution 3.0 New Zealand

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7468
4
Added
11 Feb 2016

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

The ocean waters surrounding New Zealand vary in temperature from north to south. They interact with heat and moisture in the atmosphere and affect our weather. Long-term changes and short-term variability in sea-surface temperatures can affect marine processes, habitats, and species. Some species may find it hard to survive in changing environmental conditions.

This layer shows annual average sea surface temperature for 2006 as part of the data series for years 1993 to 2013.

NIWA’s sea-surface temperature archive is derived from the Advanced Very High Resolution Radiometer (AVHRR) satellite data it receives from the National Oceanic and Atmospheric Administration. The archive provides high spatial (approximately 1km) and high temporal (approximately 6-hourly in cloud-free locations) resolution estimates of sea-surface temperatures over the New Zealand region, dating from January 1993. Uddstrom and Oien (1999) and Uddstrom (2003) describe the methods used to derive and validate the data.

This dataset relates to the "Annual average sea-surface temperature" measure on the Environmental Indicators, Te taiao Aotearoa website.

Geometry: grid
Unit: degrees Celsius

Further information can be found in:
Uddstrom, MJ (2003). Lessons from high-resolution satellite SSTs. Bulletin of the American Meteorological Society, 84(7), 896–897.
Uddstrom, MJ, & Oien, NA (1999). On the use of high resolution satellite data to describe the spatial and temporal variability of sea surface temperatures in the New Zealand region. Journal of Geophysical Research (Oceans) 104, chapter 9, 20729–20751.

Layer ID 53098
Data type Image/Raster
Resolution 2000.000m
Services Catalog Service (CS-W), data.govt.nz Atom Feed
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