Refresher: previous presentations
Update on data related problems/solution
Focus on specific EOF indicators and how thresholds are calculated
Talk about how we can adapt these for our region
Simulation study: Use ecosystem model to investigate robustness of thresholds and determine how informative they can be.
Background:
Ryther index; total landings presented on a unit area basis for the MAB. Theoretical estimates (Link and Watson, 2019) imply the index should range from 0.3 - 1.1 mt per sq km annually (green area) with a limit of 3 mt per sq km annually, above which tipping points could occur in fished ecosystems (orange area). Expected system-wide MSYs can be in the range of 1 to 3 mt per sq km (unshaded).
Comparing all catch/landings data sources
Note: Link data, SAU data, and NAFO data are estimates of Catch whereas comlandr
data is landings only (no discards). SAU, NAFO use live weight (shellfish)
Resulting ecosystem overfishing indices
The estimated percentage of unreported catch from the SAU dataset is applied to comland data estimate to represent total comland catch.
Ultimately, for the NEFSC State of the Ecosystem report these ecosystem overfishing indices will be calculated for multiple sub areas within the NEUS, namely Georges Bank, Gulf of Maine and the Mid Atlantic Bight. Knowing that the estimates of total NEUS catches are in line with other data sources is paramount to the acceptance of the report.
Comparing landings SAU/comlandr
SAU Reported data (No IUU) uses livewt (shellfish). comlandr
uses meat wt
Compare landings: live wt
Use live wt in comlandr
data (dotted line)
Ultimately, for the NEFSC State of the Ecosystem report these ecosystem overfishing indices will be calculated for multiple sub areas within the NEUS, namely Georges Bank, Gulf of Maine and the Mid Atlantic Bight. Knowing that the estimates of total NEUS catches are in line with other data sources is paramount to the acceptance of the report.
The amount of potential yield we can expect from a marine ecosystem depends on
The Ryther index consists of total catch presented on a per unit-area basis for an ecosystem.
The Fogarty index is the ratio of total catches to total primary productivity in an ecosystem.
The Friedland index is the ratio of total catches to mean annual chlorophyll in an ecosystem.
From (Link, 2021) "One can develop and estimate thresholds for them based on first principles, trophic transfer theory, and empirical evidence." Thresholds were proposed (Link et al., 2019)
Link and Watson 2019, https://www.science.org/doi/10.1126/sciadv.aav0474
All three indices are based on the principle of energy transfer up the foodweb from primary producers. There are limits to how much an ecosystem can produce and potentially be caught, C in tons year−1
C=αPP.TETL−1 where
PP = primary production ( tons C year−1 )
TE = Transfer efficiency
TL = Trophic level
α is "a scalar for local conditions (set to 15% -20% for average availability of the TL in estimating total catch, a value that emerges when estimated from maintaining a global average catch that has been stable for the past 30 yrs)"
This equation is primary production required (PPR) rearranged to express Catch in terms of PP rather than PP in terms of Catch (at the system aggregate level)
Link and Watson 2019, https://www.science.org/doi/10.1126/sciadv.aav0474
C=αPP.TETL−1
Ecosystem overfishing (EOF) defined as:
an instance where the sum of all catches is flat or declining, total catch per unit effort (CPUE) is declining, and total landings relative to ecosystem production exceeds suitable limits.
Link and Watson 2019, https://www.science.org/doi/10.1126/sciadv.aav0474
Defined as total catch per unit area in the ecosystem (Link et al., 2019). The units are mt km−2year−1
The upper bound of the optimal range, (using C = .42 Gtyear−1) is calculated as:
Ryther = .42Gtyear−1109363km−2106 =1.16tkm−2year−1
where the worlds oceans are approximately 363 million km2
Assumes each km2 of ocean is equally productive
We'd like to estimate thresholds in a similar fashion but at a smaller spatial scale using regional estimates of PP and using knowledge of the ecosystem.
Link & Watson "recommend that the indices proposed here be used cognizant of other potential sources of productivity and that are relevant to the scale at which fisheries management mostly occurs."
Ecosystem overfishing (EOF) defined as:
an instance where the sum of all catches is flat or declining, total catch per unit effort (CPUE) is declining, and total landings relative to ecosystem production exceeds suitable limits.
Calculate a system wide "average" trophic level, TLa, using the idea that primary production required to support the total catch is equal to the sum of primary production required for each species catch
n∑i=1Ci(1TE)TLi−1=(n∑i=1Ci)1TETLa−1
Atlantis model: https://github.com/NOAA-EDAB/neus-atlantis/wiki
Using Link and Watson 2019 as a starting point, not an end point
Data issues being worked through
General thoughts/comments on the approach?
How would we recommend the Council use ecosystem overfishing indicators?
Refresher: previous presentations
Update on data related problems/solution
Focus on specific EOF indicators and how thresholds are calculated
Talk about how we can adapt these for our region
Simulation study: Use ecosystem model to investigate robustness of thresholds and determine how informative they can be.
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