LAWA displays trends for the last 5, 10 and 15 years for the river and lake water quality data. Data are evaluated to determine whether water quality indicators are showing improving or degrading trends. A trend is classified as indeterminate when there is insufficient evidence to determine if the data is trending in a particular direction. Sites that are 'not assessed' are monitored, but the data do not meet other criteria to be eligible for a trend analysis.
What do water quality trends show us?
LAWA calculates trends to show how the quality of water in rivers and lakes has changed at each site over time. Changes in water quality often take years to be seen, and it may be decades for any restoration actions to show effect in water quality trend results.
Trends calculated over different periods tell us different information. Natural systems are variable, and trends can be influenced by climate and weather patterns, as well as being affected by land use and land management changes at sites (e.g. changes in point-source discharges such as sewage treatment plant upgrades). Longer-term trends may be more reliable, and less sensitive to short-term influences of seasonal and climatic weather patterns.
What water quality indicators does LAWA show trends for?
LAWA shows 5, 10 and 15-year trends for ten river water quality indicators:, ( , , , , , , , and . LAWA also shows 10 and 15-year trends for the (MCI), which is an indicator of the biological health of a river.
LAWA shows trends for seven lake water quality indicators:, , , a, , ( ) and .
LAWA trend categories for rivers and lakes
LAWA categorises trends into five classes. These are: very likely degrading, likely degrading, indeterminate, likely improving, and very likely improving. These likelihood definitions simplify the framework laid out by the Intergovernmental Panel on Climate Change (IPCC), (Stocker et al., 2013).
|Very likely improving trend||Likely improving trend|
The improving trend symbols are used for sites that show an improving trend in water quality and are either classified as 'very likely improving' or 'likely improving'. An improvement is a decrease in most water quality indicators, such as phosphorus and nitrogen concentrations. However, for visual clarity indicators (black disc and Secchi disc depth) and the Macroinvertebrate Community Index (MCI), an improvement is an increase in value.
A 'very likely improving' trend is given when there is 90 - 100% likelihood of an improving trend. A 'likely improving' trend is given when there is 67 - 90% likelihood of an improving trend. The lower likelihood reflects the fact that while there is an indication of an improving trend, there is less statistical support for it.
This classification is given to sites where there is insufficient evidence to confidently determine if water quality is showing an improving or degrading trend. An indeterminate trend means that the data do not show an upward or downward trend direction with sufficient statistical likelihood.
|Very likely degrading trend||Likely degrading trend|
The degrading trend symbols are used for sites that show a degrading trend in water quality and are either classified as 'very likely degrading' or 'likely degrading'.
A degrading trend is an increase in most water quality indicators, such as phosphorus and nitrogen concentrations. However, for visual clarity indicators (black disc and Secchi disc depth) and the Macroinvertebrate Community Index (MCI), a degradation is a decrease in value.
A 'very likely degrading' trend is given when there is 90 - 100% likelihood of a degrading trend. A 'likely degrading' trend is given when there is 67 - 90% likelihood of a degrading trend. The lower likelihood reflects the fact that while these is an indication of a degrading trend, there is less statistical support for it.
Trend Not Assessed
Sites are not assessed for trends when they do not meet the criteria to be included in the trend analysis (e.g. there were not enough data/samples over the period, not enough variability in the data to assess a trend, too many belowmeasures in the data, or long runs of the same value).
How do we calculate water quality trends?
Trends are calculated for the last 5, 10 and 15 years. Data are evaluated to determine whether water quality is showing improving, degrading, or indeterminate trends.
The data used to calculate water quality trends for rivers and lakes is collected monthly or quarterly. Macroinvertebrate data are generally collected annually, but sometimes twice per year. Generally, the more data points we have available for a site, the more statistical power we have for detecting a trend. LAWA calculates and displays 10- and 15-year trends for river and lake water quality sites using monthly data preferably, and quarterly data if trends can not be calculated with monthly data (e.g. too many many months are missing). LAWA calculates and displays 5-year trends using monthly data only, it does not use quarterly data.
For 10- and 15-year trends, river and lake water quality datasets were excluded from the analysis if they had less than 90% of the data expected, and data from less than nine (or thirteen) out of the last ten (or fifteen) years. For Macroinvertebrate Community Index (MCI) trends, sites with less than eight years of data points over the last ten years were excluded from the analysis. For fifteen-year MCI trends to be calculated, thirteen out of the fifteen had to be represented in the data.
For five-year trends, the river and lake water quality sites were excluded from the analysis if they had less than 90% of measures over five years. LAWA does not calculate five-year trends for macroinvertebrates.
The trend methodology
To determine whether water quality at a river or lake site is showing improving, degrading or indeterminate trends, LAWA follows the methodology of McBride (2018), as implemented in R functions (R Core Team) provided by LandWaterPeople (their v2101, with a correction that is yet to be released as of September 2021). Further details can be found in guidance for the approach to calculating water quality trends (Larned et al, 2021).
Trends are calculated on data for one site/measurement combination at a time.
The data for each combination were tested for seasonal effects, and then analysed with either a seasonal or non-seasonal version of the non-parametric Mann-Kendall Slope Test. This test evaluates all pairwise combinations of the data, evaluating whether the later observations is higher or lower than the earlier observation, for each pair. The magnitude of the difference has no importance, only the sign. The seasonal version of this test compares the water quality data of each season separately (January with Januaries, February with Februaries, etc) which means any changes present are not hidden by seasonal patterns.
Censored values (data that are less than or greater than laboratory detection limits) are substituted in the trend analysis, by very low or very high values. However, if too many of the data are censored due to the detection limit of the laboratory method, the trend evaluation can become unreliable, and we opt not to calculate it. We choose not to calculate trends where there are fewer than five total and three unique, non-censored observations. Sites which do not meet these requirements for trend analysis are reported as 'not assessed'. This label is also used when sites did not have enough measurements available, such as only six years of measurements available for ten-year trends.
Data can sometimes be flow adjusted before trend analysis to remove any variation in water quality measurements caused by variation in stream flow. However, many councils do not measure river flow at all of their water quality sampling sites so data used for trend analysis on LAWA are not flow-adjusted.
Where do I find more information?
Gadd, J., Snelder, T., Fraser, C. & A. Whitehead 2020. Urban river and stream water quality state and trends 2008-2017. Prepared for the Ministry for the Environment. NIWA Client Report 2018328AK
LandWaterPeople (LWP). https://landwaterpeople.co.nz/
Larned et al. 2021. Guidance for the analysis of temporal trends in environmental data. Prepared for Horizons Regional Council and MBIE Envirolink. 99 pp.
Larned S, Snelder T, Unwin M & McBride G. 2016. Water quality in New Zealand rivers: current state and trends. New Zealand Journal of Marine and Freshwater Research 50:3, 389-417.
McBride, G. 2018. Has water quality improved or been maintained? A quantitative assessment procedure. Paper submitted to Journal of Environmental Quality.
Snelder T & Fraser C. 2018. Aggregating trend data for environmental reporting. LWP Client Report 2018-01.
Stocker T, Qin D & Plattner G (Editors). 2014. Climate Change 2013: The physical science basis: working group | Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press.