SGaan Kinghlas - Bowie Seamount MPA ERAF Metadata

 

1.1.     Introduction

The Pacific Region ERAF provides a comprehensive approach for assessing all threats to marine ecosystems by evaluating cumulative risk from multiple activities to multiple ecosystem components for ecosystem-based management (EBM), improving upon international and national best practices in risk assessment that focus solely on single activities (e.g., ERAFs for assessing fisheries impacts) or single ecosystem-components (e.g., habitat-based risk assessments). This project applies the Level 2 Risk Assessment framework (O et al. 2015) to the SGaan Kinghlas-Bowie Seamount Marine Protected Area (SKB MPA) to determine the relative risk to the SKB MPA ecosystem from anthropogenic activities.

1.2.     File Descriptions

CSV File

Description

References

Species SEC Scoping

A list of species derived from published records of species observed at or within the vicinity of SK-B MPA. The six ERAF Scoping Criteria were scored based on: role in the SK-B ecosystem, uniqueness and sensitivity (i.e. many deep water species are found at much shallower depths at SKB MPA, and shallow species are found at deeper depths creating an ecosystem unique to SK-B, and it was important that differences were captured in the species list). 

The authors acknowledge that this is an incomplete list as additional video data was not processed in time for this phase of the risk assessment. Species selected for inclusion in the Risk Assessment are indicated by a "1" in the "Include?" column. 

This table was last updated in December 2012 and video data collected by DFO Science in 2011 was not processed in time to be included in the list.

*Note: for the purposes of this species information database, some text in the “Ecological Justification” column may be copied directly from abstracts and reports – please consult original references provided for the citation.

Compiled from: McDaniels et al. 2003, Canessa et al. 2003, Yamanaka 2005, Yamanaka and Brown 1999.

Corresponds to Sections 2.1 (Methods), 3.1 (Results) and Appendix B in the Research Document.

SEC-Stressor Interactions

List of all possible SEC-Activity/Stressor interactions.  A “1” indicates a possible negative interaction between SEC and stressor, a “0” indicates no negative interaction is expected.  The number of 1’s in this file should equal the number of data rows in the SEC Risk Scoring Table.

Note:  “Introduction of foreign material” was excluded from the risk assessment because it can have a positive effect on benthic community (only negative interactions are scored in the ERAF).

The Rockfish Species Assemblage and Benthic Invertebrate Assemblage (Community SECs) were not scored in the risk assessment (see Section 3.1.1.3 for discussion). Both communities are represented by other Species SECs selected.

Corresponds to Sections 2.2.1 (Methods), 3.2.1 (Results), and Appendix G in the Research Document.

SEC Risk Scoring Table

This table can be used directly in the associated R script to estimate risk to each SEC, cumulative risk across all stressors by SEC and potency of each stressor across all SECs.  The script can also reproduce the figures found in the research document.

Corresponds to Sections 2.2.2 (Methods), 3.2.2 (Results), and Appendices E and H in the Research Document.

SEC Risk Scoring Rationale

This file lists the justifications and references used to arrive at the risk scores for each SEC’s risk terms in the risk assessment.

Corresponds to Sections 3.2.2 (Results) and Appendices F and G in the Research Document.

SEC Recovery Factors

This file summarizes the Recovery Factor scores (with an estimate of uncertainty) along with justification to support the score.

Corresponds to Appendix C in the Research Document.

 

1.3.     Field Descriptions for CSV Files

1.3.1.    Species SEC Scoping (Research document section in parentheses)

Column Headings

Description

Category

Main species classification (e.g. Genus):  Birds, Fish, Invertebrates, Macrophytes, Marine Mammals, Phytoplankton, Sharks and Rays.

Sub-Category

Species sub-classification (e.g. Family):  specific to each classification.

Species

Latin species name, where possible.  Some species were not identified to this taxonomic level (marked as [unid] or unidentified species).

Common name

Common names are provided where available.

Feeding/Ecological Guild

Provided where possible. One or more of: Filter feeder, Primary producer, Primary consumer, Secondary consumer, Tertiary consumer, Top-level consumer.

ERAF1: Nutrient Importer/exporter

Research document Table 1: Species criteria from O et al. (2015), and how they were applied to SK-B MPA.

ERAF2: Specialized/ Keystone role

Research document Table 1: Species criteria from O et al. (2015), and how they were applied to SK-B MPA.

ERAF3: Habitat creating species

Research document Table 1: Species criteria from O et al. (2015), and how they were applied to SK-B MPA.

ERAF4: Rare, unique or endemic species

Research document Table 1: Species criteria from O et al. (2015), and how they were applied to SK-B MPA.

ERAF5: Sensitive species

Research document Table 1: Species criteria from O et al. (2015), and how they were applied to SK-B MPA.

ERAF6: Depleted species

Research document Table 1: Species criteria from O et al. (2015), and how they were applied to SK-B MPA.

Scoping Score

Sum of the ERAF1-ERAF6 criteria assessments. Higher scoping score can be used to highlight candidate Species SECs.

Include in ERAF?

Indicates species that were included as Species SECs

Listing

Identifies when species have been assessed and/or listed under SARA, COSEWIC, IUCN and/or BCCDC conservation status criteria.

Ecological justification/Notes

Justification, observations and references to inform the scoping assessment.

References

Published references to support the ecological justification and scoping assessment.

 

1.3.2.    SEC-Stressor Interactions (Research document section in parentheses)

Column Heading

Description

SEC.Type

One of: Species, Habitat or Community

SEC

Significant Ecosystem Component name. (2.1.1.)

Activity

Primary activity, one of: Fishing, Research or Vessel Traffic (2.1.2.)

Sub-Activity

Activity-specific tasks used to help identify relevant stressors.

Stressor

Stressor name (2.1.2.)

Interaction

SEC-stressor interactions to be considered for risk scoring are indicated by a “1”.  Non-negative or non-existent interactions are indicated by a “0”. (2.2.1.)

 

1.3.3.    SEC Risk Scoring Table (Research document section in parentheses)

Column Heading

Description

SEC.Type

One of: Species, Habitat or Community

SEC

Significant Ecosystem Component name (2.1.1.)

Activity

Primary activity (2.1.2.)

Sub.Activity

Activity-specific tasks used to help identify relevant stressors.

Stressor

Stressor name (2.1.2.)

Area

Extent of SEC-stressor areal overlap (estimated as a percent). (2.2.2.)

U_area

Uncertainty associated with estimation of SEC-stressor areal overlap.

Depth

Extent of SEC-stressor depth overlap (estimated as a percent, score binned). (2.2.2.)

U_depth

Uncertainty associated with estimation of SEC-stressor depth overlap.

Temporal

Extent of SEC-stressor temporal overlap (estimated as a percent, score binned). (2.2.2.)

U_temp

Uncertainty associated with estimation of SEC-stressor temporal overlap.

Intensity

Estimation of intensity (amount, level, effort or density) of the activity/stressor (measured as a percent, score binned). (2.2.2.)

U_int

Uncertainty associated with estimation of stressor intensity.

Intensity2

Estimation of frequency at which the stressor occurs (measured in occurrences per year (e.g., one occurrence in 100 years or annually, score binned). (2.2.2.)

U_int2

Uncertainty associated with estimation of stressor frequency.

AcuteChange

The percent change in: the population-wide mortality rate of a species SEC; OR, the loss of area and productive capacity of a habitat SEC; OR, the percentage of species impacted for community/ecosystem SEC, when exposed to a given stressor. Score binned on a 0-3 scale. (2.2.2.)

U_ac

Uncertainty associated with estimation of acute change.

ChronicChange

The percent change in: long-term fitness (including condition and genetic diversity) of a species SEC; OR the percent change in structural integrity, condition, or loss of productive capacity of a habitat SEC; OR, the percentage of functional groups impacted for a community/ecosystem SEC. Score binned on a 0-3 scale. (2.2.2.)

U_cc

Uncertainty associated with estimation of chronic change.

MaxAge

Maximum age; specifically for fish SECs. Research document Appendix C, Table C.1.

U_ma

Uncertainty associated with maximum age assessment.

MaxSize

Maximum size; specifically for fish SECs. Research document Appendix C, Table C.1.

U_ms

Uncertainty associated with maximum size assessment.

vonBert

Von Bertalanffy growth coefficient (k); specifically for fish SECs. Research document Appendix C, Table C.1.

U_vb

Uncertainty associated with von Bertalanffy growth coefficient calculation.

AgeMat

Age at sexual maturity/recovery time. Research document Appendix C, Table C.1 (Species) and C.2 (Habitat).

U_am

Uncertainty associated with age at maturity assessment.

LifeStage

Life stage. The life stage(s) affected by a stressor. If a stressor affects individuals/habitats before they have the opportunity to reproduce, recovery is less likely. Research document Appendix C, Table C.1 (Species) and C.2 (Habitat).

U_ls

Uncertainty associated with assessment of life stages affected.

PopConn

Population/habitat connectivity. Based on spatial patchiness of distribution, degree of isolation, and potential dispersal capability. Research document Appendix C, Tables C.1 (Species) and C.2 (Habitat).

U_pc

Uncertainty associated with assessment of population connectivity.

NatMort

Natural (instantaneous) mortality rate. Populations/habitats with naturally higher instantaneous mortality rates likely have higher recovery rates. Research document Appendix C, Table C.1 (Species) and C.2 (Habitat).

U_nm

Uncertainty associated with mortality rate assessment.

Listed

Identifies species with a status assessment from SARA, COSEWIC, IUCN and/or BCCDC. Research document Appendix C, Table C.1.

U_list

Uncertainty associated with status assessment listing.

Fecundity

Fecundity. The population-wide average number of offspring produced by a female each year. Research document Appendix C, Table C.1.

U_fec

Uncertainty associated with fecundity assessment.

 

1.3.4.    SEC Risk Scoring Rationale (Research Document section in parentheses)

Column Heading

Description

SEC.Type

One of: Species, Habitat or Community

SEC.No

SEC number (for ordering purposes during analyses)

SEC

Significant Ecosystem Component name (2.1.1.)

Activity

Primary activity (2.1.2.)

Sub.Activity

 

Stressor

Stressor name (2.1.2.)

Risk Component

Identifies which term in the risk equation the variable belongs to.  One of: Exposure1 [overlap], Exposure2 [intensity], Resilience. (2.2.2.)

Var

Risk equation term. One of: a, d, t, i, i2, ac, cc. See table 1.3.3 (above) for descriptions.

Scoring Rationale

Justification to support score selection and uncertainty estimation.

References

Published literature associated with scoring rationale.

 

1.3.5.    SEC Recovery Factor Rationale (Research Document section in parentheses)

Column Heading

Description

SEC.Type

One of: Species, Habitat or Community

SEC.No

SEC number (for ordering purposes during analyses)

SEC

Significant Ecosystem Component name (2.1.1.)

RFNo.

Recovery factor number (for ordering purposes during analyses)

Recovery factor

Recovery factor (aligns with columns in the SEC Risk Scoring Table). One of: Fec, Recruit, NatMort, AgeMat, LifeStage, Connect, Listed, MaxAge, MaxSize, VonB, NatDisturb, Range.

Score

Score based on [1,3] scale.

Uncertainty

Uncertainty estimate on [1,5] scale.

Available Data

Brief summary of available data.

References

Published literature to support available data.

Scored

Indicates recovery factors that have been scored (1) versus those that have not been scored (0).

 

References

 

O, M., Martone, R., Hannah, L., Grieg, L., Boutillier, J., and Patton, S. 2015. An Ecological Risk

 Assessment Framework (ERAF) for Ecosystem-based Oceans Management in the Pacific

 Region.  DFO Can. Sci. Advis. Sec. Res. Doc. 2014/072. vii + 59 p.