Livestock numbers grid APS 2017

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Creative Commons Attribution 4.0 International

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7472
81
Added
17 Apr 2019

This dataset was first added to MfE Data Service on 17 Apr 2019.

The shapefile provides counts and densities of livestock numbers within a hexagonal grid from data derived from the Agricultural Production Survey census final results for 2017.

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.

Layer ID 99906
Data type Vector multipolygon
Feature count 963
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Livestock numbers, 1994–2015

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Creative Commons Attribution 3.0 New Zealand

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5722
103
Added
25 Apr 2017

This dataset was first added to MfE Data Service on 25 Apr 2017.

Livestock numbers reflect changes in the number of farmed beef and dairy cattle, deer, and sheep across New Zealand. Livestock farming is a widespread land use in this country. It is important to monitor livestock numbers, because concentrated numbers, or large increases in numbers, can affect the indigenous biodiversity, soil health, and water quality.

File contains total livestock numbers by region for each year over the period 1994–2015

Table ID 53616
Data type Table
Row count 90
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Livestock numbers, 1994–2017

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Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

8840
161
Added
16 Apr 2018

This dataset was first added to MfE Data Service on 16 Apr 2018.

Livestock farming is a widespread land use in New Zealand and contributes to our economy. High livestock numbers and the distribution of livestock across land environments can affect indigenous biodiversity and soil health (eg compaction). High livestock numbers and density in some land environments can also affect water quality, as nitrogen and bacteria from urine and faeces can leach into groundwater or run off the land into rivers and lakes.

We measure changes in the numbers of farmed livestock (eg beef and dairy cattle, deer, and sheep) across regions in New Zealand.

Table ID 95344
Data type Table
Row count 2075
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Livestock numbers, 2002–14

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Creative Commons Attribution 3.0 New Zealand

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5656
41
Added
28 Sep 2015

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

Livestock numbers reflect changes in the number of farmed beef and dairy cattle, deer, and sheep across New Zealand. Livestock farming is a widespread land use in this country. It is important to monitor this use because it can affect the indigenous biodiversity, soil health, and water quality.

Column headings:
numbers = numbers of animals

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

Table ID 52470
Data type Table
Row count 1110
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Livestock numbers, clean, 1971 - 2019

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Creative Commons Attribution 4.0 International

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665
8
Added
14 Apr 2021

This dataset was first added to MfE Data Service on 14 Apr 2021.

DATA SOURCE: Statistics New Zealand Agricultural Production Survey (APS)

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

Dataset used to develop the "livestock numbers" indicator [available at www.stats.govt.nz/indicators/livestock-numbers]

This indicator measures the numbers of farmed dairy cattle, beef cattle, deer, and sheep over time nationally, by region, and territorial authority, and approximates the density of these livestock across New Zealand.

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 105406
Data type Table
Row count 4620
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Long term soil erosion North Island 2012

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Creative Commons Attribution 3.0 New Zealand

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4784
46
Added
09 Feb 2016

This dataset was first added to MfE Data Service on 09 Feb 2016.

"Long-term soil erosion is the average mass of soil lost per square kilometre per year (tonnes/km2/year) over a period of approximately 10 years. It is extrapolated from long-term measurements of sediment load in rivers. Extrapolation is based on mean annual rainfall, rock type, and land cover. The total sediment in rivers (tonnes/year) for a particular region is the sum of all soil erosion over the entire region (Dymond et al, 2010). Soil-erosion rates were calculated to 2012.

This data set relates to the "Estimated long-term soil erosion" measure on the Environmental Indicators, Te taiao Aotearoa website."

Layer ID 52832
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Long term soil erosion South Island 2012

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Creative Commons Attribution 3.0 New Zealand

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5675
35
Added
11 Feb 2016

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

"Long-term soil erosion is the average mass of soil lost per square kilometre per year (tonnes/km2/year) over a period of approximately 10 years. It is extrapolated from long-term measurements of sediment load in rivers. Extrapolation is based on mean annual rainfall, rock type, and land cover. The total sediment in rivers (tonnes/year) for a particular region is the sum of all soil erosion over the entire region (Dymond et al, 2010). Soil-erosion rates were calculated to 2012.

This data set relates to the "Estimated long-term soil erosion" measure on the Environmental Indicators, Te taiao Aotearoa website."

Layer ID 53150
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

Modelled population responses of rats and stoats to mast-seeding events

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Creative Commons Attribution 3.0 New Zealand

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5011
17
Added
28 Sep 2015

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

Mast-seeding events occur when plant species (eg New Zealand flax or trees such as the beech species) produce very large amounts of seed, usually every 4–6 years. These events are vital for the survival of some indigenous bird species. Unfortunately, the increase in food supply also prompts a dramatic increase in the numbers of mice, rats, and stoats (a population irruption). In the years after mast-seeding events, rats and stoats target birds and other prey.

This dataset relates to the "Modelled rat and stoat population responses to mast seeding events" measure on the Environmental Indicators, Te taiao Aotearoa website.

Table ID 52477
Data type Table
Row count 46
Services Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Mortality of indigenous tree sp black beech 2002–2014

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Creative Commons Attribution 3.0 New Zealand

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9573
11
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 52769
Data type Vector point
Feature count 195
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Mortality of indigenous tree sp Halls tōtara 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.

9315
18
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 52767
Data type Vector point
Feature count 195
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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