Layers - Page 2

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.

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.

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... .

"Particulate matter 10 micrometres or less in diameter (PM10) in the air comprises solid particles and liquid droplets from both natural and human-made sources. The main sources are burning wood or coal for home heating, and sea spray. PM10 is of particular concern because it is found in high concentrations in some areas. It can damage health and is associated with effects ranging from respiratory irritation to some forms of cancer.

This dataset records the number of times that concentrations of PM10 exceed the daily standard for years 2006 to 2013. Field names are Yr_.

Data is broken down by airshed.

This dataset relates to the ""PM10 daily concentrations"" measure on the Environmental Indicators, Te taiao Aotearoa website.

Geometry: Points

Units: No. of days"

"Particulate matter 10 micrometres or less in diameter (PM10) in the air comprises solid particles and liquid droplets from both natural and human-made sources. PM10 can be emitted from the combustion of fuels, such as wood and coal (eg from home heating and industry), and petrol and diesel (from vehicles). Natural PM10 includes sea salt, dust, pollen, smoke (from bush fires), and volcanic ash. Nationally, burning wood or coal for home heating is the main human-made source of PM10. PM10 is of particular concern because it is found in high concentrations in some areas and can damage health. It is associated with effects ranging from respiratory irritation to some forms of cancer.

This dataset shows annual average PM10 concentrations for years 2006 to 2013. Field names are PM10_.
This dataset also shows describes whether the PM10 trend, ie, whether concentrations have shown statisticsally significantly increases, decreases, or an indeterminate trend.

Data is broken down by monitoring site.

This dataset relates to the ""Annual average PM10 concentrations in towns and cities"" measure on the Environmental Indicators, Te taiao Aotearoa website.

Geometry: Points

Units: micrograms/m3"

"This dataset shows estimated annual emissions for different pollutants (tonnes per square kilometre): Particulate matter 10 micrometres or less in diameter (PM10); Particulate matter 2.5 micrometres or less in diameter (PM2.5); Sulphur dioxide; Sulphur Oxides (SOx); Carbon Monoxide (CO), and; Nitrogen Oxides (NOx).

Measures of:
- PM10 and PM2.5 are from home heating
- SOx are from Industrial sources
- CO and NOx are from road motor vehicles.

Data for PM10 (PM10_t_km_yr_) and PM2.5 (PM25_t_km_yr_) are provided for 2006 and 2013, including percent difference (PM10_PC_difference) and (PM25_PC_difference).

Data for CO (MV_CO_t_km_yr_) and NOx (MV_NOx_t_km_yr_) are provided for 2001 and 2013, include percent difference (MV_CO_PC_diff_01_13) and NOx (MV_NOx_PC_diff_01_13).

Data for SOx is for 2013 only (I_SOx_t_km_yr_2013).

Data is broken down by territorial authority area.

This dataset relates to various Environmental measurse on the Environmental Indicators, Te taiao Aotearoa website: home heating; road motor vehicle emissions, and industrial emissions.

Geometry: Polygons

Units: t/km/yr"

"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."

"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."

"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."

"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."