Freshwater pests: Salvinia

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Creative Commons Attribution 3.0 New Zealand

You may use this work for commercial purposes.

You must attribute the creator in your own works.

9569
12
Added
11 Jan 2016

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

"Freshwater plant and animal pests can have significant negative impacts on ecosystem health by reducing indigenous biodiversity through predation and competition, and destabilising aquatic habitats. Freshwater plant pests can cause economic losses through blocking water intakes for hydroelectricity generation, impeded drainage or irrigation. In addition, pests can affect the suitability for recreational activities.
This dataset relates to the "Freshwater pests" measure on the Environmental Indicators, Te taiao Aotearoa website. "

Layer ID 52733
Data type Vector point
Feature count 24
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Mortality of indigenous tree sp mountain horopito 2002–2014

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Creative Commons Attribution 3.0 New Zealand

You may use this work for commercial purposes.

You must attribute the creator in your own works.

9574
6
Added
11 Jan 2016

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

"The rates of death (mortality) of indigenous tree species vary across New Zealand. Changes in the state of the environment (such as from browsing pests, large-scale weather events, or climate change) may change the rates of mortality of particular tree species. This in turn may alter forest processes. Repeated surveys of the distribution of mortality rates can alert us to impacts on our indigenous forests.

This data set relates to the "Distribution of indigenous trees" measure on the Environmental Indicators, Te taiao Aotearoa website."

Layer ID 52777
Data type Vector point
Feature count 207
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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You must attribute the creator in your own works.

9509
65
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

River water quality percentiles, by monitoring site, 2009-2013

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Creative Commons Attribution 3.0 New Zealand

You may use this work for commercial purposes.

You must attribute the creator in your own works.

9333
229
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

Landsat7 2001 Footprints

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Creative Commons Attribution 3.0 New Zealand

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9522
11
Added
20 Jul 2017

This dataset was first added to MfE Data Service on 20 Jul 2017.

Note: Metadata relates to the mosaicked imagery. This layer has been provided to enable users to explore coverage and capture dates of the imagery. To enquire about ordering the imagery, please e-mail lucas[at]mfe.govt.nz.

This imagery is 15m, six-band multispectral, cloud-minimised mosaics of Landsat 7 satellite scenes over mainland New Zealand captured from late-1999 to early-2003.

Layer ID 53640
Data type Vector multipolygon
Feature count 33
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Distribution of red deer 2002–2014

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Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

9452
71
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 53160
Data type Image/Raster
Resolution 100.000m
Services Catalog Service (CS-W), data.govt.nz Atom Feed

NZ Peat Mines 1990-2015

Licence

Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

9479
10
Added
07 Apr 2017

This dataset was first added to MfE Data Service on 07 Apr 2017.

Maps horticultural peat mining areas from 1990 to 2015, peat type and quantity, and post-mining activities.

Layer ID 53594
Data type Vector polygon
Feature count 9
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Freshwater pests: Canadian pondweed

Licence

Creative Commons Attribution 3.0 New Zealand

You may use this work for commercial purposes.

You must attribute the creator in your own works.

9460
13
Added
11 Jan 2016

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

"Freshwater plant and animal pests can have significant negative impacts on ecosystem health by reducing indigenous biodiversity through predation and competition, and destabilising aquatic habitats. Freshwater plant pests can cause economic losses through blocking water intakes for hydroelectricity generation, impeded drainage or irrigation. In addition, pests can affect the suitability for recreational activities.
This dataset relates to the ""Freshwater pests"" measure on the Environmental Indicators, Te taiao Aotearoa website. "

Layer ID 52687
Data type Vector point
Feature count 609
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Number of extreme wave events exceeding 8m in coastal regions, 2008–15

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Creative Commons Attribution 3.0 New Zealand

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You must attribute the creator in your own works.

9435
31
Added
19 Oct 2016

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

Extreme wave indexes estimate the occurrence of extreme wave events in coastal and oceanic waters. Extreme wave indexes estimate the number of times a significant wave height exceeds one of three threshold values for at least 12 hours in 24 marine regions. The three wave-height thresholds are four metres, six metres, and eight metres.
This indicator estimates the exceedances of a wave-height threshold for each year from 2008 to 2015 in coastal regions.
Significant wave height is a measure of the ‘typical’ wave height in a place over a time period. It is four times the standard deviation of the water surface if, for example, you were to measure water moving up and down a jetty piling for an hour. The largest individual wave will typically have a height around twice the significant wave height.
We use three wave-height thresholds because of the regional variation in extreme wave events. In general, the north experiences less exposure to consistently strong winds, and the waves generated by them, than the south. Four-metre tall waves are considered extreme in the northern-most parts of New Zealand but are more common in the south. For the southern-most parts of New Zealand, eight-metre waves better represent extreme wave events.
This dataset relates to the number of extreme wave events exceeding the eight metre threshold in coastal regions.

Layer ID 53502
Data type Vector multipolygon
Feature count 144
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Recruitment of indigenous tree sp hūpiro 2002–2014

Licence

Creative Commons Attribution 3.0 New Zealand

You may use this work for commercial purposes.

You must attribute the creator in your own works.

9463
2
Added
11 Jan 2016

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

"The rates of establishment (recruitment) of indigenous tree species vary across New Zealand. Changes in the state of the environment (such as from browsing pests, large-scale weather events, or climate change) may change the rates of recruitment of particular tree species. This in turn may alter forest processes. Repeated surveys of the distribution of recruitment rates can alert us to impacts on our indigenous forests.

This data set relates to the "Distribution of indigenous trees" measure on the Environmental Indicators, Te taiao Aotearoa website."

Layer ID 52783
Data type Vector point
Feature count 164
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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