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The use of fish as ecological
indicators
Why use fish as a biological indicator?
1. Important in providing ecosystem “goods and services”
   such as fisheries production
2. Integrate ecosystem health over larger spatial and
   temporal scales (including via food-webs)
3. Potentially more sensitive to some forms of
   disturbance such as:
   – Hydrologic alteration
   – Longitudinal barriers
   – habitat alteration
4. Biology and physiological tolerances often well
   understood
   – Assists metric development and interpretation
Challenges in fish as an indicator
• Harder and more expensive to sample effectively
  compared to macroinvertebrates and algae
   – Much harder to collect all or „most‟ species present at a site in a
     short amount of time
   – Individual surveys rarely capture majority of species
• Hard to apply indicators across geographic regions
   – High altitute and high latitude regions typically have very low
     diversity compared to the tropics
   – Greater variation in the tolerance/feeding strategy/life-history of
     related species compared to macroinvertebrates/algae
   – e.g. Cyprinidae is a very diverse family
• Both of these issues contribute to the challenge of
  setting „reference condition‟ or „targets‟.
Two examples
• Fish-IBI (index of biotic integrity)
   – Widely used index in the USA and Europe

• Sustainable Rivers Audit (Fish Theme)
   – Used to report on the health of fish assemblages in the Murray
     Darling Basin in Australia
   – Derived from IBI type approaches
   – Extensive analyses of different survey techniques and effort

• Both incorporate information at 3 levels of organisation:
   – Community composition
   – Population status
   – Individual health
Fish-IBI
• Multi-metric index
  originally developed
  in the mid-western
  US (e.g. Karr, 1986).
• Widely used in the
  USA and modified
  for use in Europe
• Application of the IBI
  approach
  customised for each
  state/region
                      Source: http://water.epa.gov/scitech/monitoring/rsl/bioassessment/ch08b.cfm
Geographic variation in F-IBI metrics




                Source: http://water.epa.gov/scitech/monitoring/rsl/bioassessment/ch08b.cfm
Both approaches rely on the reference
condition
• Reference condition: the estimated condition that would
  have prevailed in the absence of significant human
  intervention.
   – Problematic for areas where human intervention is widespread
     or has been occurring for a long time

   – Was not the case where many of these approaches were first
     developed – good „reference‟ locations existed

   – Difficult for many regions, including Australia and China
SRA reporting on the MBD
• Murray-Darling Basin
   – 1.06 M km2
   – 18 valleys
   – 4 zones within each
     valley (altitude) for
     reporting

   – Desert to wet-temperate
     to alpine environments

   – Low fish diversity ~30-40
     species
Setting SRA fish ‘reference’ condition
    1. Reference conditions derived by combining expert
       knowledge, previous research, museum collections and
       historical data,
    2. Scientists from each State participated in expert committees
       to review data on fish distributions throughout the Basin, and
       State-based research, leading to predictions of the distribution
       of each species in each Valley and Zone under Reference
       Condition.
    3. Estimates of Reference Condition are based on documented
       information that is amenable to revision and re-analysis in
       response to future improvements in knowledge.


•   A long and difficult process!
                                                    From Davies et al. 2008
SRA fish indicators
Reporting metrics
Indicator group       metrics
Expectedness          OE (observed/expected) fish species
                      richness in each zone and valley
Nativeness            Proportion native biomass
                      Proportion native abundance
                      Proportion native richness
SRA fish indicators
Diagnostic metrics
Indicator                     Description
Benthic Richness
Pelagic richness
Proportion macro carnivores   Eat prey <15mm length
Proportion mega carnivores    Eat prey >15mm length
Total abundance               Median abundance in a zone
                              (compared to those for „good‟ sites
Diagnostic metrics
abnormalities                 Inverse median score of fish with
                              visible abnormalities
                              (lesions/parasites/tumors/wounds
                              etc.)
Intolerant species richness   Numbers of native and alien species
                              intolerant of disturbances (e.g. poor
                              water quality, sediment, cold-water
                              pollution, migration barriers)
                              compared to the numbers predicted.
Reporting
• Reporting every 3 years



• Results aggregated to
  valley scale
   – Detailed valley-scale
     reports available
• Other themes includes
  invertebrates, waterbird
  s, hydrology and
  physical form
Summary
• IBI type indicators for fish are feasible

• Rely on incorporation of substantial background
  information on fish distributions, tolerances etc.

• Sensitive to regional variation in data availability and
  the „reference‟ fish assemblage

• Indicator development best guided by a coordinated
  sampling program to provide the necessary data to help
  develop the indivdual metrics
Some background
• Macroinvertebrates most widely used biological
  indicator of stream health
   – Good performance in evaluating WQ, especially heavy metals,
     organic pollution
   – Efficient to sample
   – “Cosmopolitan” – similar groups in different parts of the world

• However:
   – Less sensitive to changes in hydrology and physical form
     (geomorphology)
   – Do not quantify environmental “goods and services” such as
     fisheries production

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3.1 the use of fish as ecological indicators en

  • 1. The use of fish as ecological indicators
  • 2. Why use fish as a biological indicator? 1. Important in providing ecosystem “goods and services” such as fisheries production 2. Integrate ecosystem health over larger spatial and temporal scales (including via food-webs) 3. Potentially more sensitive to some forms of disturbance such as: – Hydrologic alteration – Longitudinal barriers – habitat alteration 4. Biology and physiological tolerances often well understood – Assists metric development and interpretation
  • 3. Challenges in fish as an indicator • Harder and more expensive to sample effectively compared to macroinvertebrates and algae – Much harder to collect all or „most‟ species present at a site in a short amount of time – Individual surveys rarely capture majority of species • Hard to apply indicators across geographic regions – High altitute and high latitude regions typically have very low diversity compared to the tropics – Greater variation in the tolerance/feeding strategy/life-history of related species compared to macroinvertebrates/algae – e.g. Cyprinidae is a very diverse family • Both of these issues contribute to the challenge of setting „reference condition‟ or „targets‟.
  • 4. Two examples • Fish-IBI (index of biotic integrity) – Widely used index in the USA and Europe • Sustainable Rivers Audit (Fish Theme) – Used to report on the health of fish assemblages in the Murray Darling Basin in Australia – Derived from IBI type approaches – Extensive analyses of different survey techniques and effort • Both incorporate information at 3 levels of organisation: – Community composition – Population status – Individual health
  • 5. Fish-IBI • Multi-metric index originally developed in the mid-western US (e.g. Karr, 1986). • Widely used in the USA and modified for use in Europe • Application of the IBI approach customised for each state/region Source: http://water.epa.gov/scitech/monitoring/rsl/bioassessment/ch08b.cfm
  • 6. Geographic variation in F-IBI metrics Source: http://water.epa.gov/scitech/monitoring/rsl/bioassessment/ch08b.cfm
  • 7. Both approaches rely on the reference condition • Reference condition: the estimated condition that would have prevailed in the absence of significant human intervention. – Problematic for areas where human intervention is widespread or has been occurring for a long time – Was not the case where many of these approaches were first developed – good „reference‟ locations existed – Difficult for many regions, including Australia and China
  • 8. SRA reporting on the MBD • Murray-Darling Basin – 1.06 M km2 – 18 valleys – 4 zones within each valley (altitude) for reporting – Desert to wet-temperate to alpine environments – Low fish diversity ~30-40 species
  • 9. Setting SRA fish ‘reference’ condition 1. Reference conditions derived by combining expert knowledge, previous research, museum collections and historical data, 2. Scientists from each State participated in expert committees to review data on fish distributions throughout the Basin, and State-based research, leading to predictions of the distribution of each species in each Valley and Zone under Reference Condition. 3. Estimates of Reference Condition are based on documented information that is amenable to revision and re-analysis in response to future improvements in knowledge. • A long and difficult process! From Davies et al. 2008
  • 10. SRA fish indicators Reporting metrics Indicator group metrics Expectedness OE (observed/expected) fish species richness in each zone and valley Nativeness Proportion native biomass Proportion native abundance Proportion native richness
  • 11. SRA fish indicators Diagnostic metrics Indicator Description Benthic Richness Pelagic richness Proportion macro carnivores Eat prey <15mm length Proportion mega carnivores Eat prey >15mm length Total abundance Median abundance in a zone (compared to those for „good‟ sites Diagnostic metrics abnormalities Inverse median score of fish with visible abnormalities (lesions/parasites/tumors/wounds etc.) Intolerant species richness Numbers of native and alien species intolerant of disturbances (e.g. poor water quality, sediment, cold-water pollution, migration barriers) compared to the numbers predicted.
  • 12. Reporting • Reporting every 3 years • Results aggregated to valley scale – Detailed valley-scale reports available • Other themes includes invertebrates, waterbird s, hydrology and physical form
  • 13. Summary • IBI type indicators for fish are feasible • Rely on incorporation of substantial background information on fish distributions, tolerances etc. • Sensitive to regional variation in data availability and the „reference‟ fish assemblage • Indicator development best guided by a coordinated sampling program to provide the necessary data to help develop the indivdual metrics
  • 14. Some background • Macroinvertebrates most widely used biological indicator of stream health – Good performance in evaluating WQ, especially heavy metals, organic pollution – Efficient to sample – “Cosmopolitan” – similar groups in different parts of the world • However: – Less sensitive to changes in hydrology and physical form (geomorphology) – Do not quantify environmental “goods and services” such as fisheries production