WQ PredictionsDF REC2 29November 2018

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

584
7
Added
15 Apr 2019

This item was first added to MfE Data Service on 15 Apr 2019

Document ID21921
File namewq-predictionsdf-rec2-29november-2018.csv
TypeCSV
Size195 MB

River water quality: Macroinvertebrate community index, modelled, 2016 - 2020

Licence

Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

525
2
Added
11 Aug 2022

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:

  • MCI scores as modelled median values for New Zealand’s river length for the period 2016–2020

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
Results 21 to 22 of 22