Presentation at the Genomes to Biomes 2014 joint meeting of the Canadian Society of Ecology and Evolution, Canadian Society of Zoology, and the Limnology Society of Canada.
3. Freshwater Health Assessment
(FHA): What is it?
• A set of four key metrics integrated through an
expert reviewed analytical framework
• Provide a high level score for freshwater ecosystem
health within a watershed context.
• Establish a consistent approach across the country
• Pooling available data to build a basis for evidence-
based water policy evaluation and advocacy.
3
5. Index of Habitat Integrity (IHI)
South African Scoring System (SASS)
(Macro-Invertebrate Community Index)
Fish Assemblage Integrity Index (FAII)
Riparian Vegetation Index (RVI)
Geomorphological Index
Water Quality (Chemical) Water Quality (Diatoms)
Concept: Looking to leaders
10. 10
Hydrology Metric -- Composite metric comprised of 5 indicators:
1. Trends in median monthly flow, long-term (onset of monitoring – present)
2. Trends in median monthly flow, short-term (last available monitoring – present)
11. 11
3. Long-term trends in annual flows
Sub-basin score reported as average annual percentage
change in MAF, calculated across sites with significant trend,
and weighted across sites by long-term MAD.
Hydrology Metric -- Composite metric comprised of 5 indicators:
12. 12
Hydrology Metric
Pre- vs. Post-Dam / Historical vs. Recent analysis:
4. Variance in monthly flow
5. Percentage Change in Median Monthly Flow
-- Composite metric comprised of 5 indicators:
13. 13Concentration (mg/L)
NumberofObservations
Provincial Guideline
(e.g. Nitrate = 2.93 mg/L)
75th Percentile 90th Percentile
Water
Quality
Indicator: Proportion of water quality measurements
that exceed three chosen thresholds:
(1) Provincial or Federal water quality guidelines;
(2) 90th percentile of historical distribution;
and (3) 75th percentile of historical distribution
Various data sources, including
Environment Canada’s EnviroDat,
and provincial agencies (e.g.
Ontario’s Provincial Water Quality
Monitoring Network)
16. HBI = Σ(xi*ti)/(n), where
xi = number of individuals within a family
ti = tolerance value of a family
n = total number of organisms in the sample
Dragonfly Nymph CaddisflySnailsSideswimmer
Hilsenhoff Biotic Index
A measure of benthic invertebrate community composition, based on
relative sensitivity of taxa (i.e. species, genus or family) to
disturbance (e.g. Organic pollutants).
17. Year
MedianNumberofNativeFishSpecies
Linear Regression*
* All statistics used in
FHA are non-parametric.
We use the analogous
non-parametric test
10
6
2
1995 2000 2005 2010
Fish Metric
Indicator: Presence/Absence of a decline in native fish
species richness over time (i.e. Loss of native fish diversity)
Data Sources: Provincial databases, including BC Historical Fish Observances,
Alberta’s Fish & Wildlife Information System, Ontario’s Flowing Waters Information
System
Analysis of both median and total
annual fish species richness
18. 18
Very Good
Good
Very Good
Very Good
Your water
body is:
GOOD
Very poor
Poor
Fair
Good
Very good
WWF Framework: Metrics to Scores
19. Health of your
water body
overall is:
GOOD Very Poor
Poor
Fair
Good
Very Good
WWF Framework: Metrics to Scores
Hydrology
Fish
Invertebrates
Water Quality
Very Poor
Poor
Fair
Good
Very
Good
=
=
=
=
=
Data sufficiency
Very Poor
Poor
Fair
Good
Very
Good
Very Poor
Poor
Fair
Good
Very
Good
Very Poor
Poor
Fair
Good
Very
Good
20. Understanding scale
20
Spatial criteria for data
sufficiency are determined based
on
Water Survey of Canada
framework:
For basins, criteria are related to
‘sub-drainage areas“
For sub-basins, criteria are
related to “sub-sub-drainage
areas”
24. 0
8
24
12
1
4
Very Good Good Fair Poor Very Poor Data
Deficient
Hydrology Scores, Sub-basin scale
382 short-term monitoring sites
86 long-term monitoring sites
Number of sub-basins in
each scoring category:
25. 7
24
2
0 0
16
Very Good Good Fair Poor Very Poor Data
Deficient
Water Quality Scores, Sub-basin scale
985 Water Quality Sites
Number of sub-basins in
each scoring category:
26. 11
3
4
2
1
28
Very Good Good Fair Poor Very Poor Data
Deficient
Benthic Scores, Sub-basin scale
Number of sub-basins in
each scoring category:
809 Benthic Sites
27. 28
0 0
21
Good Fair Poor Data Deficient
Fish Scores, Sub-basin scale
Number of sub-basins in
each scoring category:
5,382 Fish Sites
28. 28
Working to improve the fish metric
1. Apply abundance-based regional Indices of Biological Integrity, where
data and models of expected distribution and abundance exists.
2. Where long-term abundance data is available (but not a regional IBI
model), apply WWF’s Living Planet Index approach.
29. 29
Fish Metric Improvements (cont.)
4. Integrate a measure of sampling effort into analysis, either
via species rarefaction models, or catch-per-unit-effort
approaches.
30. Conclusions to Date
• Severe data limitations are apparent in many parts of the
country.
• Lack of standardized approach for reporting, especially
water quality – including state and units of parameters.
• Challenge accessing data outside of government.
• Huge potential in monitoring from industry (EIA), utilities
(e.g. BC Hydro and Hydro Quebec).
• Improvements are needed in fish metric to gain better
discriminatory power.
30
31. Next steps
• Freshwater Health Assessment for Great Lakes -
St. Lawrence River Watershed – to be completed
by June 2015
• Threats Assessment – cumulative effects
approach to provide additional insight on causality
& enhance policy & planning leverage
• Hiring: Two, 1-year contract positions, starting
Summer and Fall 2014.
31
Enter the FHA’s – we’ve created a framework work that will allow us to assess all our major freshwater systems to be assessed by 2017
Indicators of River Health for South Africa’s River Programme:
The RHP approach measures the effect on the environment as it is reflected in the composition and abundance of biological communities.
Index of Habitat Integrity (IHI) – instream and riparian vegetation, including pools, rapids, sandbanks.
This index assesses the impact of human disturbance factors, including abstraction, flow regiolation, bed and channel modification, removal of indigenous riparian vegetation and encroachment of exotic vegetation.
Fish Assesmblage Integrity Index (FAII) – the number of species of fish that occur in a rivers reach, as well as the different size classes and fish condition.
South African Scoring System (SASS) – macroinvertebrate community index, based on the presence of families of aquatic invertebrates and their perceived sensitivity to water quality changes.
Scoring system based on riverine macro-invertebrates, whereby each taxon is allocated a sensitivity/tolerance score according to water quality conditions it is known to tolerate.
Riparian Vegetation Index (RVI) – a measure of the degree of modification in the riparian zone from ts natural state.
In addition to the above measures, where data exists, the following are also drawn upon to inform the RHP: geomorphologiclal processes; water quality, microscopic analysis of diatoms.