regional scale ecological risk assessment. ensc 202 regional era the conceptual model
Post on 19-Dec-2015
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Ranks and Filters in RRERA Model
Weighting the likelihood of exposure
Ranking components of the conceptual model
Weighting the likelihood of impact
Exposure and Impact “Filters”
SRi1
Sources StressorsHabitats &Resources
AssessmentEndpoints & Indicators
Source score (SRij): What is the extent
(area, number, “importance”) of
source j in watershed i?
Stressor score:computed as
SSijk= SRij * ELjk * ELjk
Cumulative stressor score computed as
CSSik= Σj(SRij * Efjk * Efjk)
What specific characteristics
could be measured? What resources would
be needed?
Watershed (WSi)for i watersheds
Effect filter: The product of the Effect Link (ELjk) and
Effect Importance (ELjk) Matrices. How important is source j as a contributor
to stressor k?(None, Small, Moderate,
Large)
Impact filter: The product of the Impact Link (ILkm) and Impact
Importance (IIkm) Matrices. How important is stressor k as an
impact on habitat m?(Lg, Mod, Sm, None).
Individual habitat risk isIHRim = [Σk(CSSik*IFkm*IFkm)*HBim]
Habitat score (HBim): What is the extent
(area, number, “importance”) of
habitat m in watershed i?
Cumulative Stressors (CSSik)
SRi2
SRi3
SRi4
SRij
…
SSiJ1
SSi2
SSiJ3
SRiJ4
SRijK…
Effect LinkMatrix
SRjk x SSjk
EffectImportance
MatrixSRjk x SSjk
X
Effects Filter
Impact LinkMatrix
SSkm x HBkm
ImpactImportance
MatrixSSkm x HBkm
X
Impacts Filter HBi1
HBi2
HBi3
HBi4
HBim
…
AEP1
AEP2
AEP3
AEP4
AEPm
…
…
Lake Champlain Relative Ecological Risk Assessment Model
SourceStressor
ReceptorHabitat
EndpointIndicator
RS = S * H * SRw RS = H * E * REw
SourceSRij
for j sources
HabitatHBim
for m habitats
EndpointNarrative only
StressorSSijk = SRij * EFjk
for k stressors
IndicatorNarrative only
Valdez Case Study
Our Revised Framework
Sub-watershed (Wi, for i sub-watersheds)
Sub-watershed
CWRi = Σm(IHRim)Cumulative sub-watershed risk
across all habitats for each of the i sub-watersheds
EFjk
CSSik= Σj(SRij * EFjk)Cumulative stressor
score, by sub-watershed, for all j sources
IFkm
CHRm = Σi(IHRim)Cumulative habitat risk, across sub-watersheds
for each of the m habitats
Comparison of Frameworks
IHRim = [Σk(CSSik*IFkm)*HBim]IHRim habitat risk, by sub-
watershed and habitat, for all k stressors
Things we can derive
See Sqaulicum Creek Case Study
Note: EFjk = ELij * EIij Note: IFkm = ILkm * IIkm
Lake Segments - Watersheds• Missiquoi Bay Missisquoi• St. Albans Bay Stevens/Rugg• Northeast Arm Northeast Arm• Mallets Bay Lamoille• Main Lake (VT) Winooski• Burlington Bay Burlington Bay• Shelburne Bay LaPlatte• Otter Creek Otter Creek• South Lake A Lake George• South Lake B
Poultney/Mettawee• Port Henry Port Henry• Main Lake (NY) Boquet/AuSable• Cumberland Bay Saranac• Isle La Motte Isle La Motte• Direct Watersheds Other Direct
Sources
• Agriculture• Urban• WWTPs• Dams• Roads• Fisheries• Marinas• Forested Areas• Industrial • Parks• External
Stressor list (composite)This list needs was simplified to a consistent set of agreed classes
Phosphorous (all types)· Soluble Reactive P (SRP)· Particulate P
Pathogens· Fish pathogens: VHS· Human pathogens: E. coli
Toxic Substances· pesticides· herbicides· heavy metals· hydrocarbons· dioxin & like compounds· phthalates
Recreation (distributed)Land use· Terrestrial· Aquatic· RiparianVehicle use· Terrestrial· Aquatic
Invasive Species· Zebra mussel· Purple loosetrife· Water Chestnut· Eurasian water milfoil· Rusty crayfish· White perch
Barriers to Movement of Aquatic Organisms· Dams· Roads· Culverts
Fragmentation of Landscape
HabitatsThis list was simplified to a consistent set of agreed classes
• Open water– Lake Champlain
• <6’• >6’
– Lakes/Ponds other than Lake Champlain
– Rivers and Streams
• Developed (all types)– Open space– Low intensity– Medium intensity– High intensity– Barren land (rock/sand/clay)…
aka mines pits and such
• Forest (all types)– Deciduous– Coniferous– Mixed
• Herbaceous (all types)– Shrub– Grassland
• Agriculture (all types)– Pasture/hay– Cultivated crops
• Wetlands (all types)– Woody wetlands– Emergent herbaceous wetlands
Key Input Matrices – A Glossary• Watershed x Source Matrix
– What types of sources exist in each watershed and how large are they? [Extent]• Effects Links Matrix
– Does a link exist between a Source and Stressor? [Existence]• Effects Importance Matrix
– Is the Source a particularly potent Stressor? [Intensity]• Effects Filter = Effects Links x Effects Importance• Impact Links Matrix
– Does a link exist between a Stressor and a Habitat? [Existence]• Impacts Importance Matrix
– Is the Stressor a particularly potent Impact? [Intensity]• Impacts Filter = Effects Links x Effects Importance• Watersheds x Habitats Matrix
– What types of habitats exist in each watershed and how large are they? [Extent]
BLUE matrices are inputsORANGE matrices are calculated
Values of the Matrices
• Source and Habitat Matrices– None (0), Some (2), Common (4), Abundant (6)
• Link Matrices (Effects and Impacts)– No link (0), Possible link (0.5), Clear link (1)
• Importance Matrices (Effects and Impacts)– None (0), Weak (0.5), Moderate (1), Strong (2)– Should we add an apocalyptic 4?
Focus: Sources Team(Note: Explicitly sub-watershed based)
• What is the area/number/size of each source type in each sub-watershed?
• What is the rationale of scoring the “quantity” of each source (i.e., the source area, number, or size)
• What specific stressors are most important from each source? (Links directly to Stressors Team)
• Consider resources in Troy et al. (2007)• Products
– Watersheds x Sources matrix (The Source Matrix)– Sources x Stressors matrix (The Effects Link/Importance)
Focus: Stressor Teams(Note: Not explicitly sub-watershed based)
• Why is your stressor important? Why is it a focus of concern? How does it act?
• For your stressor, what sources are most important? (Links directly to Sources Team but not watershed by watershed)
• What are the most pragmatic classes to use for your Stressor?• What specific habitat types are most likely to be affected by each
stressor class? (Links directly to Habitat Team but not watershed by watershed)
• Consider information in Opportunities of Action.• Products
– Sources > Stressors matrix (The Effects Filter for your stressor)– Stressors > Habitats matrix (The Impacts Filter for your stressor)
Focus: Habitat Team(Note: Explicitly sub-watershed based)
• What is the area/number/size of each habitat type in each sub-watershed?
• Are there pragmatic classes of habitats that make sense to group together?
• What are the key threats (Stressors, ignoring Sources) to your primary Habitat types/classes? (Links directly to Stressor Teams)
• What specific indicators would be most useful to monitor the general habitats? (Note suggestions from Watzin et al. 2005)
• Products– Watersheds > Habitats (The Habitats Matrix)– Suggestions for key Assessment Endpoints for each Habitat
The Sources Matrix(Sources Team)
SR1 SR2 SR3 …
W1 Rank11 Rank12 Rank13
W2 Rank21 Rank22 Rank23
W3 Rank31 Rank32 Rank33
…
Sources (for j different sources)
Wat
ersh
ed(fo
r I d
iffer
ent w
ater
shed
s
BLUE matrices are inputsORANGE matrices are calculated
The Effects Filter Matrices(Sources & Stressor Teams)
SR1 SR2 SR3 …
Stressor1Link11 Link12 Link13
Stressor2Link21 Link22 Link23
Stressor3Link21 Link22 Link23
…
Sources (for j different sources)
Stre
ssor
s(F
or k
diff
eren
t Str
esso
rs) SR1 SR2 SR3 …
Stressor1Impt11 Impt12 Impt13
Stressor2Impt21 Impt22 Impt23
Stressor3Impt21 Impt22 Impt23
…
Sources (for j different sources)
Stre
ssor
s(F
or k
diff
eren
t Str
esso
rs)
X
SR1 SR2 SR3 …
Stressor1EF 11 EF 12 EF 13
Stressor2EF 21 EF 22 EF 23
Stressor3EF 21 EF 22 EF 23
…
Sources (for j different sources)
Stre
ssor
s(F
or k
diff
eren
t Str
esso
rs)
=
Effects Link Matrix Effects Importance Matrix
Effects Matrix
The Impacts Filter Matrices(Stressor and Habitat Teams)
HAB1 HAB2 HAB3 …
ΣStressor1 Link11 Link12 Link13
ΣStressor2 Link21 Link22 Link23
ΣStressor3 Link21 Link22 Link23
…
Habitats (for m different habitats)
Sum
of S
tres
sors
ove
r Sou
rces
(For
k d
iffer
ent S
tres
sors
) HAB1 HAB2 HAB3 …
ΣStressor1 Impt11 Impt12 Impt13
ΣStressor2 Impt21 Impt22 Impt23
ΣStressor3 Impt21 Impt22 Impt23
…
Habitats (for m different habitats)
X
SR1 SR2 SR3 …
ΣStressor1 IF 11 IF 12 IF 13
ΣStressor2 IF 21 IF 22 IF 23
ΣStressor3 IF 21 IF 22 IF 23
…
Habitats (for m different habitats)
=
Impacts Link Matrix Impacts Importance Matrix
Impacts Matrix
Sum
of S
tres
sors
ove
r Sou
rces
(For
k d
iffer
ent S
tres
sors
)
Sum
of S
tres
sors
ove
r Sou
rces
(For
k d
iffer
ent S
tres
sors
)
The Habitat/Resource Matrix(Habitats Team)
HAB1 HAB2 HAB3 …
W1 Rank11 Rank12 Rank13
W2 Rank21 Rank22 Rank23
W3 Rank31 Rank32 Rank33
…
Sources (for m different habitats)
Wat
ersh
ed(fo
r I d
iffer
ent w
ater
shed
s
Summary Risk Matrices
SR1 SR2 SR3 …
WS1 RSK11 RSK12 RSL13
WS2 RSK21 RSK22 RSK23
WS3 RSK21 RSK22 RSK23
…
Stressors (for k different stressors)
Wat
ersh
eds
(For
i di
ffere
nt w
ater
shed
s)
Effects of all Sources of each Stressor by Watershed
SR1 SR2 SR3 …
WS1 RSK11 RSK12 RSL13
WS2 RSK21 RSK22 RSK23
WS3 RSK21 RSK22 RSK23
…
Stressors (for k different stressors)
Wat
ersh
eds
(For
i di
ffere
nt w
ater
shed
s)
Impacts over all Habitats of each Stressor by Watershed
SO1 SO2 SO3 …
WS1 RSK11 RSK12 RSL13
WS2 RSK21 RSK22 RSK23
WS3 RSK21 RSK22 RSK23
…
Sources (for i different sources)
Wat
ersh
eds
(For
i di
ffere
nt w
ater
shed
s)
Effects of all Stressors from each Source by Watersheds
HAB1 HAB2 HAB3 …
WS1 RSK11 RSK12 RSL13
WS2 RSK21 RSK22 RSK23
WS3 RSK21 RSK22 RSK23
…
Habitats (for m different Habitats)
Wat
ersh
eds
(For
i di
ffere
nt w
ater
shed
s)
Impacts of all Stressors on each Habitat by Watersheds
Reiteration of our Framework
Note: In considering criteria ranking (or scoring), a “6” should be relative to conditions that prevail in the Lake Champlain Basin and not the “theoretical” worst case situation. For example, the Winooski watershed might rank a “6” in urban land use even though it is far less developed than, say, downtown Detroit or Baltimore. The key question is, to what stressors is Lake Champlain most susceptible?
SourceSRij
for j sources
HabitatHBim
for m habitats
EndpointNarrative only
StressorSSijk = SRij * EFjk
for k stressors
IndicatorNarrative only
Sub-watershed (Wi, for i sub-watersheds)
CWRi = Σm(IHRim)Cumulative sub-watershed risk
across all habitats for each of the i sub-watersheds
EFjk
CSSik= Σj(SRij * EFjk)Cumulative stressor
score, by sub-watershed, for all j sources
IFkm
CHRm = Σi(IHRim)Cumulative habitat risk, across sub-watersheds
for each of the m habitats
IHRim = [Σk(CSSik*IFkm)*HBim]IHRim habitat risk, by sub-
watershed and habitat, for all k stressors
Things we can derive
Note: EFjk = ELij * EIij Note: IFkm = ILkm * IIkm
SRi1
Sources StressorsHabitats &Resources
AssessmentEndpoints & Indicators
Source score (SRij): What is the extent
(area, number, “importance”) of
source j in watershed i?
Stressor score:computed as
SSijk= SRij * ELjk * ELjk
Cumulative stressor score computed as
CSSik= Σj(SRij * Efjk * Efjk)
What specific characteristics
could be measured? What resources would
be needed?
Watershed (WSi)for i watersheds
Effect filter: The product of the Effect Link (ELjk) and
Effect Importance (ELjk) Matrices. How important is source j as a contributor
to stressor k?(None, Small, Moderate,
Large)
Impact filter: The product of the Impact Link (ILkm) and Impact
Importance (IIkm) Matrices. How important is stressor k as an
impact on habitat m?(Lg, Mod, Sm, None).
Individual habitat risk isIHRim = [Σk(CSSik*IFkm*IFkm)*HBim]
Habitat score (HBim): What is the extent
(area, number, “importance”) of
habitat m in watershed i?
Cumulative Stressors (CSSik)
SRi2
SRi3
SRi4
SRij
…
SSiJ1
SSi2
SSiJ3
SRiJ4
SRijK…
Effects FilterEFij
HBi1
HBi2
HBi3
HBi4
HBim
…
AEP1
AEP2
AEP3
AEP4
AEPm
…
…Impacts Filter
IFkm
ORIGINAL Framework - Discarded
Comparison of Original and Revised Frameworks
Source x (Effects Filter) = Stress
Σ(Stresses) x (Impact Filter) = Total Impact
Total Impact x Habitat = Risk
For Each Watershed
Original
Source x (Effects Link x Effects Importance) = Stress
Σ(Stresses) x (Impact Link x Impact Importance) = Total Impact
Total Impact x Habitat = Risk
Revised