Circular ID TG-3.16
Version 0.3.0
Badge Applied
Status Draft
Last Updated September 2026

Circular TG-3.16 · Section 3: Compiling Ocean Accounts from Relevant Data · 1 September 2026

Quality Assurance and Quality Control of Ocean Asset Accounts

Sets out the checks, records and independent review that show an ocean asset account — physical or monetary, individual resource or ecosystem — is complete, balanced and fit to publish.

Version
0.3.0
Status
Draft
Stability
Applied
Last updated
September 2026
Responsible officer
Dr Jordan Gacutan
Drafting
AI-assisted drafting from GOAP Secretariat source materials; source list to be published at the close of consultation.

After working through this Circular, you will be able to show that an ocean asset account is complete, balanced and fit to publish, and to hand a reviewer the evidence that confirms it. You will be able to:

  • write a quality assurance and quality control (QA/QC) plan for an asset account: the generic core every account needs, and the asset-account part;
  • run and log the general checks and the asset-type acceptance checks, physical and monetary;
  • reconcile the account with the supply and use tables, the production account, government finance statistics, the greenhouse gas inventory and the national balance sheet;
  • give every cell a grade and a status, and carry them into aggregates;
  • quantify the uncertainty in asset values and report it as a range;
  • pass independent review with a complete evidence pack.

The Circular sets no accounting rule of its own. Every rule it tests is owned by the circular named beside the check, most often TG-3.1 Asset Accounts; what this Circular adds is the procedure, the tolerance and the record.

Essential prerequisites:

Helpful background:

An asset account can balance and still be wrong. The identity opening + additions — reductions = closing holds in any account whose compiler has closed it on a residual, and a residual can absorb a dropped conversion, a double-counted loss or a unit slip without trace. The worked example in Section 3.8 carries nine seeded errors, and every column in it balances. The identity is necessary, and it is the first check; it is not sufficient, and the rest of this Circular is about what else has to be tested.

The three terms below are used in the IPCC sense throughout (Table 3.16.1)1. They separate who performs a check from what it is compared against, and the separation is what makes a review independent.

TermPerformed byCompares the account with
Quality control (QC)The compilers, routinely, during compilationIts own inputs, identities and rules
Quality assurance (QA)People not involved in compiling itThe evidence pack, by recomputation and review
VerificationEither, using methods external to the accountIndependent data: a global product, another assessment, a neighbouring account

Table 3.16.1: Terms, after IPCC (2006) Volume 1 Chapter 6 Box 6.1.

Scope. The checks apply to the asset accounts of TG-3.1, physical and monetary, as the Framework Position sets out: SEEA CF individual environmental assets (coastal aquifers only for water), SEEA EA extent, condition and monetary ecosystem assets, and produced assets only where they touch environmental assets.

Basis. No SEEA publication gives a quality assessment framework of its own. The SEEA EA sets out the quality dimensions and the uncertainty categories (paras 2.86—2.95), points compilers to the IMF Data Quality Assessment Framework (para 2.89), and lists the articulation of data quality assessment frameworks in its research agenda as work still to do2. The SEEA Central Framework treats quality as data confrontation: putting estimates into an accounting framework exposes their inconsistencies (paras 1.54, 6.7, 6.86), and revisions are “standard practice” (para 6.68)3. This Circular therefore draws the procedure from general frameworks the SEEA points to: UN-NQAF requirement 15.1, that source data, intermediate results and outputs are regularly assessed and validated4; IMF DQAF element 3.4, validation of intermediate data and outputs5; and GSBPM v5.2 sub-processes 5.3 (review and validate) and 6.2 (validate outputs)6.

Layers. The Circular follows the pattern the IPCC inventory guidelines use for the same problem: general procedures are written once, and category procedures sit with the category1. TG-0.7 holds the principles; for this consultation TG-3.16 also carries the generic QC core (Section 3.2). TG-3.16 holds QC for the asset-account category, shared by TG-3.1 and the Section 6 circulars that populate asset accounts. TG-3.1 and each Section 6 circular keep their rules, and list in their own quality subsection only the checks distinctive to them. Figure 3.16.1 places each kind of check in the statistical production process.

TG-3.16 -- QC, QA and verification over the GSBPM phases, and the three layers of rules A horizontal band shows the eight phases of the Generic Statistical Business Process Model version 5.2: 1 Specify needs, 2 Design, 3 Build, 4 Collect, 5 Process (sub-process 5.3, review and validate), 6 Analyse (sub-process 6.2, validate outputs), 7 Disseminate and 8 Evaluate. Above each phase are the activities and check families run in it. Phase 2, Design: the QA/QC plan and data-quality objectives of Section 3.2. Phase 3, Build: the parameter register and version control. Phase 4, Collect: source-data acceptance. Phase 5, Process: the general QC checks AQ-ID, AQ-UN, AQ-RT, AQ-PM and AQ-VA; the asset-type acceptance checks AQ-EX, AQ-CO, AQ-FS, AQ-MN, AQ-EV and AQ-PR; and quality flags, AQ-FL. Phase 6, Analyse: reconciliation, AQ-RC; verification against global products and other assessments, AQ-VF; and uncertainty assessment, Section 3.9. Between phases 6 and 7 sit the QA review, AQ-RV1, recommended but not a condition of release, and, below it, the release gate that TG-0.7 sets, signed by the statistical owner (AQ-RV3), the only decision point in the figure. Phase 7, Disseminate: documentation and the evidence pack, AQ-RV2. Phase 8, Evaluate: the tier-progression plan and the archive, AQ-RV3; a dashed arrow runs from the tier plan back to the QA/QC plan for the next cycle. Below the band, three bars show who performs each kind of check. Quality control is run by the compilers, routinely, during compilation, across phases 3 to 6. Quality assurance is run by people not involved in compiling the account, who recompute and review the evidence pack, at the end of phase 6 up to the release gate. Verification uses independent data -- global products, other assessments and neighbouring accounts -- in phase 6, and may be run by either group. At the foot, three stacked, indented layers show where the rules are written: TG-0.7 holds the principles (quality dimensions, uncertainty categories and flag codes) once for every account; TG-3.16 holds the category QC for asset accounts (checks, tolerances and evidence); TG-3.1 and the Section 6 circulars hold their own compilation rules and the checks distinctive to each asset. A side note records that this follows IPCC practice: general QC procedures are written once, and category-specific procedures sit with the category. next cycle QA/QC planand data-qualityobjectives Parameterregisterversion control Source dataacceptance General QC checksAQ-ID, UN, RT, PM, VA Asset-type checksAQ-EX, CO, FS, MN, EV, PR Quality flagsAQ-FL, cell by cell ReconciliationAQ-RC: PSUT, SNA, GFS VerificationAQ-VF: global products,other assessments UncertaintySection 3.9 QA reviewrecommendedAQ-RV1 Release gateTG-0.7; AQ-RV3signed by thestatistical owner DocumentationAQ-RV2evidence pack Tier planprogression forthe next cycle ArchiveAQ-RV3 1 Specifyneeds 2 Design 3 Build 4 Collect 5 Process5.3 review and validate 6 Analyse6.2 validate outputs 7 Disseminate 8 Evaluate GSBPM v5.2 phases. Below: who performs each kind of check QC -- the compilers, routinely, during compilation (phases 3 to 6) people not involved in compiling the account: recompute a sample and review the evidence pack QA -- end of phase 6 independent data -- global products, other assessments, neighbouring accounts Verification -- phase 6 Where the rules are written TG-0.7 Principles and generic QC coreQuality dimensions, uncertainty and flags; the QA/QC plan, review, archive and release gate -- written once, for every account TG-3.16 Category QC for asset accountsChecks, tolerances and evidence for extent, condition, stocks and values -- the families shown above TG-3.1 and the Section 6 circularsTheir own compilation rules, plus the checks distinctive to each asset type As in IPCC practice General QC procedures are written once (2006 Guidelines, Vol. 1, Ch. 6). Category-specific procedures sit with the category they check. GSBPM phase or guidance layer QC by compilers Plan, QA and records Verification (independent data) Release gate (decision)

Figure 3.16.1 QC runs inside compilation; QA and verification sit at its end, and the release gate closes it. General rules are written once in TG-0.7, asset-account checks in TG-3.16, and distinctive checks in the owning circulars, as IPCC practice does. Check families are shown, not individual checks. Source: IPCC (2006) 2006 IPCC Guidelines, Vol. 1, Ch. 6, Box 6.1 and Sections 6.5–6.10; UNECE GSBPM v5.2, sub-processes 5.3 and 6.2; TG-3.16. Note: Check identifiers carry the prefix AQ- (asset QC); a family such as AQ-ID groups the numbered checks of Tables 3.16.4 and 3.16.5. The tiers of Section 3.2 set which checks are the minimum.

Check identifiers carry the prefix AQ- (asset QC), so a QC log can cite AQ-ID3 without ambiguity against another circular’s numbering.

3.2 QA/QC Plan and Data-Quality Objectives

Section titled “3.2 QA/QC Plan and Data-Quality Objectives”

A QA/QC plan is written before compilation starts and names the checks, who runs them and when, the independent reviewer, the release gate, the tolerance register and the data-quality objectives1. It is the document a reviewer reads first, and it is what TG-0.8’s checklist item 8 asks an institution to have adopted. For an asset account the plan also says what each data-quality objective means for assets, which checks each tier runs, and which parameters the parameter register holds (Section 3.3).

Roles. Six roles carry the plan. One person may hold several in a small office, with one exception: the independent reviewer may not also be a compiler.

  • Compiler: runs every QC check in Sections 3.4 to 3.7 and keeps the QC log.
  • Data manager: keeps the source register, metadata, archive and version control.
  • QA/QC coordinator: owns the plan, schedules the reviews and keeps the issue register.
  • Independent reviewer: not involved in compilation (AQ-RV1).
  • Statistical owner (usually the national statistical office): signs off official figures, confidentiality and SDG custodian alignment.
  • Community authority: approves publication of traditional knowledge and community data (TG-3.6).

Records. Three records are kept from the first day: the QC log (check, cell, result, action, initials, date); the issue register (open or closed, and whether each issue blocks release); and the parameter register, the single place every parameter is set (Section 3.3).

QC intensity. QC effort scales with tier and with materiality. A representative sample of derived cells may be checked in any one cycle, provided every part of the account is covered over successive cycles1. Headline figures and every figure quoted in narrative text are recomputed in every cycle, whatever the tier (AQ-UN4).

Data-quality objectives. The plan sets the seven data-quality objectives of the IPCC guidelines1. For an asset account each means the following (Table 3.16.2), and each needs a national value in the plan.

ObjectiveWhat it means for an asset account
CompletenessEvery asset type in the accounting area is compiled, or shown as ”..” with a reason
ConsistencyEvery identity closes; the series uses one method or its breaks are logged
ComparabilityIUCN GET at level 3 or finer; fixed classification versions; one equal-area CRS
AccuracyExtent accuracy thresholds met; stock coefficient of variation stated
TimelinessRelease lag after the reference period stated and met
TransparencyEvidence pack complete, including the asset items of Table 3.16.8
ImprovementA tier-progression plan for the next cycle

Table 3.16.2: Data-quality objectives for an asset account, after IPCC (2006) Volume 1 Section 6.5.

Tiers. Tier 1 is the minimum viable approach and higher tiers add rigour, as in TG-0.7 Section 3.8. The tiers here are proposed for consultation:

  • Tier 1 (minimum). AQ-ID1 to AQ-ID4, AQ-ID6, AQ-UN1, AQ-UN4, AQ-PM3, AQ-VA6, AQ-FL1 and one verification check, plus the Table 3.16.5 acceptance checks for every asset type compiled.
  • Tier 2. Every check in Tables 3.16.4 to 3.16.6, with at least 10% of derived cells recomputed.
  • Tier 3. Tier 2, with Monte Carlo uncertainty for every monetary asset and a subject-specialist reviewer for each of the stock, extent and valuation parts.

The worked example measures what the minimum misses: Tier 1 catches six of the nine seeded errors, and the three it does not catch (net recorded as gross, a condition index applied twice, and a loss valued twice) are the case for Tier 2.

QC log template. Tables 3.16.4 to 3.16.6, with columns added for the result, the action, initials and date, are the template for the QC log. For condition cells the log also records the expected range, its source in the reference-value register, and the range verdict under AQ-CO7 (inside the usual range; unusual but within the plausibility range; or outside it and investigated).

Parameter register. Every parameter that scales a result is set once, in one register, with its source, vintage and owner. For an asset account it holds: the discount rate and horizon, the carbon price and its basis, unit prices and rents, live-weight conversion factors, the carbon-to-CO₂ factor of 44/12, reference levels, the minimum mapping unit and the CRS pair. A value typed into a formula is a finding in itself, because it cannot be changed consistently.

Source-data acceptance. Data from monitoring, research and administrative sources often concentrate on edge or problem cases, and need review against the measurement concepts and scope of the account before use (SEEA EA paras 2.87—2.88)2. That review belongs to the Section 4 circular that delivers the variable, with its definition, source, unit, coverage, reference value, uncertainty and quality tier (TG-0.4 Section 4.5). The account’s test is only that each value arrives with those attributes, a flag and its location in the primary source (a table cell or a quotation); a value without them goes back to its Section 4 owner. The location matters because values copied through secondary syntheses drift: an index is re-labelled as a stock, a biomass figure as carbon, or a value measured in another country is attached to a local place name. A value that cannot be traced to its primary source is not entered.

Double counting. Four pairs cause most of it, and each has a check: fish-stock value and provisioning flow (AQ-ID6; TG-6.7 Section 3.5), produced and ecosystem protection (AQ-PR1), rent and government receipts (AQ-RC4), and nursery services (AQ-VA7).

Time series and revisions. Every revision is documented (SEEA EA para 10.40)7, breaks are back-cast where feasible (TG-0.7 Section 3.2.4), and the asset account revises when and as the national accounts do, so that the two revisions policies stay aligned (SEEA CF para 6.70)3. Table 3.16.3 sets the two cases. A back-revision that moves a published indicator by more than 5% is re-published, the threshold TG-4.5 Section 3.5.4 sets.

Cause of the revisionIndividual environmental assetEcosystem extent and conditionMonetary ecosystem asset
New data, same asset, same methodReappraisal, current periodReappraisal, shown as an identified line (SEEA EA 4.17)8Reappraisal (SEEA EA 10.38)9
New method, source, classification or reference levelBenchmark revision at rebasing: restate, back-cast, log the breakBenchmark revision at rebasing: restate, back-cast, log the breakBenchmark revision at rebasing: restate, back-cast, log the break

Table 3.16.3: Treatment of revisions, aligned with national accounts benchmark revision and rebasing.

The general checks apply to every asset account, whichever asset type it holds (Table 3.16.4). They are written in the style of the IPCC general inventory QC table1: each is a test with a pass condition, and the rule it tests belongs to the circular in the right-hand column. Tolerances belong in the national QA/QC plan, and this Circular strongly recommends that they be set there, taking account of regional conditions: the regional products and assessments a country verifies against, the regional fisheries body’s assessment practice, and regional differences in ecosystem variability and data. The tolerance column gives indicative values only, for use until the plan sets its own; plan marks a check with no indicative value. The evidence each check leaves is listed in the evidence pack (Table 3.16.8).

IDCheckIndicative toleranceRule owner
Identities
AQ-ID1Opening + additions — reductions (+ revaluation) = closing, per column. A residual is shown as a reappraisal, never absorbedZero, to roundingTG-3.1 Section 3.1; Table 1b
AQ-ID2Opening = previous closing; any restatement loggedZero, or a logged restatementTG-3.1
AQ-ID3Sum of opening extents = sum of closing extents = accounting area, computed in an equal-area CRSZero, to roundingTG-3.1 Table 2a; TG-2.12
AQ-ID4Net reclassification = 0, and every reduction has a destination type or a recorded change to the accounting-area boundaryZeroTG-3.1 Table 2b
AQ-ID5Change-matrix margins = opening and closing extent; gross conversions come from the off-diagonals, never a net figure used as grossZero, to roundingTG-3.1; TG-4.1
AQ-ID6Totals = sum of parts. Memorandum, experimental, ABNJ and produced rows, and the stand-alone SEEA CF stock value, stay out of ecosystem totalsZeroTG-3.1; TG-6.7
Units and recomputation
AQ-UN1Order of magnitude: ha against km², USD against USD thousand, one price base per table; the implied unit value of every monetary entry with a physical counterpart is checkedRatio within 10±0.5Generic check (moves to TG-0.7)
AQ-UN2Carbon unit stated on every row; 44/12 recorded; the price unit matches the quantity unitExactGeneric check (moves to TG-0.7)
AQ-UN3Catch in live-weight equivalent, from one conversion-factor source per species and formExactTG-3.1 Step 4
AQ-UN4Every figure quoted in text recomputed, and a sample of derived cells (at least 10% at Tier 2)Exact at the printed precisionGeneric check (moves to TG-0.7)
Routing
AQ-RT1Type changed: conversion. Condition lost in a discrete event: catastrophic loss. Gradual decline: degradation. Storm damage is an extent change only beyond the regrowth horizonRuleTG-3.1 Section 3.5.3
AQ-RT2Revisions kept apart from genuine change, with the revision class logged (Table 3.16.3)RuleTG-3.1; TG-6.7
AQ-RT3A mineral class move is a reclassification, not a discoveryRuleTG-3.1 Section 3.4.2
AQ-RT4Planting enters extent only after the year-3 survival check; a condition gain is enhancementRuleTG-6.2
Physical to monetary
AQ-PM1Each monetary volume entry = its physical entry × the stated unit value; no quantity valued in two rowsZero, to roundingTG-3.1 Section 3.3
AQ-PM2Opening value per unit of stock agrees with the flow valuation, or the difference is explainedPlanTG-3.1 Section 3.4.1
AQ-PM3Depletion traces: renewable, max(0, extraction — sustainable yield at current biomass); non-renewable, extraction; valued at the mid-period price; a constant-price memorandum lineZero, to roundingTG-3.1; TG-6.7
AQ-PM4Degradation traces to the index decline in Table 3c × the present value of the affected services. No index, no entryZero, to roundingTG-3.1 Sections 3.5.2—3.5.3
AQ-PM5Value change split into volume, reappraisal and revaluation; a constant-price view published; a physical decline beside a monetary gain explainedRuleTG-3.1 Step 5
Valuation
AQ-VA1One resource-rent formula; normal return on produced capital deducted once; rent not negative; an unmanaged stock carries zero core valueZero, to roundingTG-3.1; TG-6.7
AQ-VA2Condition adjustment applied once, at the service-flow step; the chain audited from flow to valueEqual to the indexTG-3.1 Section 3.5.3
AQ-VA3Linear degradation shortcut only where the decline is at most 0.20, no thresholds are documented, and one service exceeds 70% of annual flow value0.20; 70%TG-3.1 Section 3.5.3
AQ-VA4Horizon and trajectory stated; a perpetuity justified; a declining condition projected or the reason it is not recordedStatedTG-3.1 Section 3.5.3
AQ-VA5Discount rate and source stated; sensitivity at three or more ratesThree or more ratesTG-1.9
AQ-VA6Exchange values only, so no social cost of carbon or willingness to pay in a cell; one carbon price per account, under the TG-6.2 ruleExchange value onlyTG-1.9; TG-6.2
AQ-VA7Ecosystem contribution only; nursery and other intermediate services excluded; no licence fees or gross revenueRuleTG-3.2

Table 3.16.4: General QC checks for asset accounts. Indicative tolerances are for national plans to replace; those not taken from a rule owner are GOAP proposals.

Two of the rules these checks test are easier to follow as diagrams. Figure 3.16.2 is the routing rule behind AQ-RT1: which row a change enters, depending on what the event did. Figure 3.16.3 is the trace behind AQ-PM3, AQ-PM4 and AQ-VA2: how each monetary depletion and degradation entry is recomputed from a physical one, and the single point at which the condition index enters.

TG-3.16 -- Routing tree: which account row a change in an ecosystem asset enters A decision tree for a change in an ecosystem asset, asked in order, stopping at the first yes. Question 1: did the area leave the accounting area? If yes, record a reduction in extent together with a recorded change to the accounting-area boundary (check AQ-ID4). If no, question 2: did the ecosystem type change at that location? If yes, it is an ecosystem conversion, recorded in the reclassification block of the extent account, which nets to zero across ecosystem types, and as the conversion entry in the monetary account, valued as the converted extent less the value of the type that replaces it (checks AQ-ID4 and AQ-EV2). If no, question 3: was the condition loss caused by a large-scale, discrete event such as a cyclone, mass bleaching or an oil spill (SEEA EA paras 10.24 and 10.37)? If yes, it is a catastrophic loss, recorded in other changes in volume; extent changes only if the damage outlasts the regrowth horizon. If no, the change is a gradual decline from ongoing use and management, recorded as ecosystem degradation (SEEA EA paras 10.22 to 10.23) and valued as the decline in the condition index times the present value of the affected services (check AQ-PM4). A callout warns that routing a disaster into degradation overstates the entry that feeds adjusted income (TG-3.1). Where condition rose rather than fell, the change is ecosystem enhancement. A side branch covers planting or restoration: it enters extent as a managed expansion only after the year-3 survival check (TG-6.2; check AQ-RT4); before that check, any condition gain is recorded as enhancement. A note records that for individual environmental assets under the SEEA Central Framework, catastrophic losses are a named reduction line (SEEA CF para 5.49(c)), while in an ecosystem extent account they are reported as an identified component of unmanaged contraction. A change in an ecosystem asset 1. Did the area leave theaccounting area? Yes Reduction in extent Area lost from the accounting area altogether, with a recorded change to the accounting-area boundary AQ-ID4 No 2. Did the ecosystem type changeat that location? Yes Ecosystem conversion Extent: reclassification block of the extent account, netting to zero across ecosystem types. Monetary: conversion entry, valued as the converted extent less the value of the type that replaces it AQ-ID4, AQ-EV2 No 3. Was the condition loss caused bya large-scale, discrete event? Cyclone, mass bleaching, oil spill (SEEA EA paras 10.24, 10.37) Yes Catastrophic loss Other changes in volume: a loss of condition, not of extent. Extent changes only if the damage outlasts the regrowth horizon; if the type changed, question 2 has already routed it to conversion No Ecosystem degradation AQ-PM4 Gradual decline from ongoing use and management (SEEA EA paras 10.22–10.23). Valued as condition-index decline × present value of the affected services Routing a disaster into degradation overstates the entry that feeds adjusted income (TG-3.1). if condition rose instead Ecosystem enhancement A gain in condition, the mirror of degradation Side branch: planting or restoration A new stand whose survival is not yet known before the check survives year 3 Addition to extent (managed expansion) AQ-RT4 Enters extent only after the year-3 survival check (TG-6.2) Individual environmental assets (SEEA CF): catastrophic losses are a named reduction line (SEEA CF para 5.49(c)). In an ecosystem extent account they are reported as an identified component of unmanaged contraction.

Figure 3.16.2 Where an event enters the account depends on what it did: moved the boundary, changed the type, or reduced condition suddenly or gradually. Ochre boxes are the questions, asked in order; green boxes are the account rows. Source: TG-3.1 Sections 3.5.1 and 3.5.3; SEEA EA paras 4.15, 10.22–10.23, 10.24, 10.37. Note: Storm damage changes extent only beyond the regrowth horizon; planting enters extent after the year-3 survival check (TG-6.2).

TG-3.16 -- How a physical entry traces to a monetary entry for individual environmental assets and ecosystem assets Two parallel lanes. Lane 1, an individual environmental asset under the SEEA Central Framework such as a fish stock: the opening and closing stock of biomass gives the sustainable yield at current biomass; extraction, the gross catch, is compared with it, and physical depletion equals the greater of zero and extraction minus sustainable yield for a renewable resource, or equals extraction for a non-renewable resource (check AQ-PM3). Physical depletion is multiplied by the mid-period price per tonne of stock, the average of opening and closing prices, to give monetary depletion, a memorandum entry, which must equal the depletion deducted in net domestic product (check AQ-RC2). Lane 2, an ecosystem asset under SEEA Ecosystem Accounting such as mangrove: condition variables (Table 3a) are rescaled to indicators between 0 and 1 following TG-2.1 (Table 3b) and combined into a condition index (Table 3c). The index decline, opening minus closing in absolute index points, multiplied by the present value of the affected services at reference condition, gives the degradation entry (check AQ-PM4). Separately, the reference service rate multiplied by the condition index gives the condition-adjusted service flow; this is the single point where the condition index enters the valuation. The service flow is discounted, at a stated rate over a perpetuity or finite horizon, to give the asset value. A second, struck-through arrow from the condition index to the discounting step marks an error: the index must not be applied again at the discount step, because that squares the adjustment (check AQ-VA2). Measured carbon stocks are not scaled by the condition index (check AQ-CO6). Stocks are drawn as plain rectangles and flows as chevron-tailed outlines. Lane 1 -- Individual environmental asset (SEEA CF), e.g. a fish stock Stock (biomass, t)opening and closing Sustainable yieldat current biomass (t) Mid-period priceper tonne of stock(P open + P close) / 2 Extractiongross catch (t) Physical depletionmax(0, extraction − SY)non-renewable: extraction compared with SY Monetary depletionmemorandum entry × AQ-PM3 Depletion in NDPdeducted from netdomestic product = must be equal -- AQ-RC2 Lane 2 -- Ecosystem asset (SEEA EA), e.g. mangrove Condition variablesmeasured valuesTable 3a Indicatorsrescaled 0–1 (TG-2.1)Table 3b Condition indexopening and closingTable 3c Index declineopening − closingabsolute index points Degradationdecline × PV AQ-PM4 × Present valueof affected servicesat reference condition × Reference rateservice rate at referencecondition (literature) Service flowreference rate× condition index Discountstated rate; perpetuityor finite horizon Asset valuecondition-adjustedmonetary stock enters here, once service-flow step Not again at thediscount step -- thatsquares the adjustment(AQ-VA2) Measured carbon stocks are not scaled by the condition index (AQ-CO6). Stock Flow Computation step Condition index enters Must not be applied AQ-PM3 QA/QC check

Figure 3.16.3 Every monetary depletion and degradation entry traces back to a physical entry, and the condition index enters the valuation once, at the service flow. Source: TG-3.1 Sections 3.3 and 3.5.3; TG-2.1 Section 3.4.1. Note: The linear degradation formula applies only within the three conditions of TG-3.1 Section 3.5.3 (AQ-VA3).

An asset-type check is an acceptance test at the interface between the account and the method that feeds it, as TG-3.1 frames the requirements a stock assessment must meet. The account does not re-run the method. It tests whether what arrives is usable, and sends it back to the owning circular if not (Table 3.16.5).

IDAcceptance checkOwner of the method
Aquatic resourcesTG-6.7
AQ-FS1Total biomass for opening and closing stock; SSB for B/BMSY and sustainable yield; no switch of concept between periodsTG-6.7
AQ-FS2Reported catch within the plan’s tolerance of the assessment-implied catch (TG-6.7 Section 3.3, Step 6); the gap between the identity and the assessed closing stock shown as a reappraisalTG-6.7
AQ-FS3Gross catch includes discards by sector; IUU catch is recorded by the residence of the vessel (TG-4.10 Section 3.8.4); subsistence catch is estimated where it exceeds about 10% of harvestTG-6.7; TG-4.10
AQ-FS4CPUE alone does not close the account, and the metadata say soTG-3.1
AQ-FS5Assessment vintage recorded; a revised reference point is a reappraisalTG-6.7
AQ-FS6Cultivated and natural stocks kept apartTG-3.9
Mineral and energy resourcesTG-3.10; TG-6.9
AQ-MN1Classes A to C recorded; only Class A valuedTG-3.1 Section 3.4.2
AQ-MN2Terminal (decommissioning) costs written off through consumption of fixed capital, so the rent is net of them; depletion kept apart from consumption of fixed capitalTG-3.10; TG-6.9
AQ-MN3Installations (AN11), non-renewable resources (AN321) and renewable energy resources (AN322) never summed; ABNJ in satellite tables onlyTG-3.10; TG-6.6
WaterTG-3.1 Section 3.4.3
AQ-WA1Seawater outside the asset boundary; coastal aquifers onlyTG-3.1
ExtentTG-4.1; TG-2.12
AQ-EX1Probability sample of at least 50 points per class (30 for rare classes); accepted at overall accuracy of 80% and producer’s and user’s accuracy of 75%, otherwise “conditionally accepted” and graded CTG-4.1 Sections 3.4.2—3.4.3
AQ-EX2Area-adjusted estimate and its 95% confidence interval reported beside every mapped extentTG-4.1 Section 3.4.3
AQ-EX3Minimum mapping unit, dominance rule and equal-area CRS as TG-2.12 sets themTG-2.12
AQ-EX4Imagery within ±90 days of the period boundary (±45 days for high-seasonality types); an inter-layer lag over 6 months assessed, an area effect over 1% disclosedTG-2.12
AQ-EX5Deep seagrass recorded as a lower boundTG-6.3
AQ-EX6A confirmed zero recorded as 0; no data recorded as ”..”TG-0.7
ConditionTG-2.1; TG-4.8; TG-4.9
AQ-CO1L, U, polarity and vintage fixed before data are collected, and held for the series. L and U come from the same ecosystem type and setting as the reporting unit; a naturally low-stature or low-cover setting is not treated as a degraded state of anotherTG-2.1 Section 3.4.2
AQ-CO2Rescaling by TG-2.1 Section 3.4.1 only; indicators in [0, 1]; V/ref not used unless a lower reference of zero is justifiedTG-2.1
AQ-CO3At least one variable per ECT classTG-3.1 Section 3.5.2
AQ-CO4Aggregation rule and weights stated; geometric-mean and one-out-all-out results reported as sensitivityTG-2.1 Section 3.6
AQ-CO5All three condition tables published; standard errors propagated to the indexTG-3.1 Section 3.5.2
AQ-CO6Condition never used as a multiplier on measured carbonTG-6.2; TG-6.3
AQ-CO7Each condition variable value lies within the plausibility range for its reporting unit and setting, or is flagged and its explanation logged. The range comes from the national reference-value register, and pooled national ranges are not used where values depend on settingTG-4.8; TG-4.9
Monetary ecosystemTG-3.1 Section 3.5.3; TG-2.4
AQ-EV1AQ-VA2 to AQ-VA7 applied service by serviceTG-3.1
AQ-EV2Conversion value = converted extent × its unit value, less the value of the type that replaces itTG-3.1 Section 3.5.3
AQ-EV3Reappraisal kept apart from revaluationTG-3.1 Section 3.5.3
AQ-EV4Initial monetary releases labelled experimentalTG-3.1
Produced assetsTG-6.11; TG-3.1 Section 3.6
AQ-PR1Never summed with ecosystem assetsTG-6.11
AQ-PR2Decommissioning memorandum includedTG-3.1 Section 3.6
AQ-PR3No protection value recorded on the produced sideTG-6.11

Table 3.16.5: Asset-type acceptance checks. Each tests a rule set by the circular in the right-hand column; the extent thresholds are TG-4.1’s.

Area estimates. Where the area-adjusted estimate of AQ-EX2 (Olofsson et al. 2014)10 differs from the mapped area by more than the plan’s tolerance, the account records the estimate and says so. This rule is proposed, for the owners of TG-4.1 and TG-2.12 to confirm.

Reconciliation tests the asset account against the accounts compiled beside it. Each pair in Table 3.16.6 must agree within the plan’s tolerance, or the difference is explained in the log. None of these pairs is new: each is required by the circular that owns the neighbouring account. What this Circular adds is the requirement to run all of them and record the result (Figure 3.16.4).

TG-3.16 -- Reconciliation and verification map for the ocean asset account A hub-and-spoke map. The ocean asset account (TG-3.1) sits at the centre. Six solid spokes connect it to the neighbouring accounts it must agree with, each labelled with its check and the circular that owns the rule. Above: the physical supply and use table, where extraction equals the natural-resource input (AQ-RC1, TG-3.2); the production account and net domestic product, where depletion equals the deduction from NDP and aquaculture harvest is consistent with output (AQ-RC2 and AQ-RC3, TG-3.1 Step 6 and TG-3.9); and government finance statistics, where government rent is reconciled with, not added to, the asset value (AQ-RC4, TG-3.7). Below: ecosystem service flow accounts, whose flows must be consistent with extent and condition (AQ-RC5, TG-3.1 Step 6); sub-national accounts, whose parts must sum to the national total (AQ-RC7, TG-3.11); and the national greenhouse gas inventory, where carbon stock change is compared with net sequestration and the global warming potential values are matched (AQ-RC8 and AQ-VF5, TG-6.2). A column on the right, labelled Verification: independent data, holds four external comparators joined to the account by dashed edges: global remote-sensing extent products (AQ-VF1); stock assessments by a regional fisheries body or national agency and FAO FishStatJ (AQ-VF2); geological survey reserves (AQ-VF3); and the national balance sheet (AQ-VF4). At the bottom, inside the asset account, a double red rule marked must not be summed separates the stand-alone SEEA Central Framework fish-stock value from the SEEA Ecosystem Accounting ecosystem asset total (AQ-ID6, TG-6.7). A key explains that a solid edge is reconciliation, which must agree within the plan's tolerance or be explained, and a dashed edge is verification, where a gap shows where to look but cannot confirm. Reconciliation: accounts that must agree Verification: independent data AQ-RC1TG-3.2 AQ-RC2; AQ-RC3TG-3.1 Step 6; TG-3.9 AQ-RC4TG-3.7 AQ-RC5TG-3.1 Step 6 AQ-RC7TG-3.11 AQ-RC8; AQ-VF5TG-6.2 AQ-VF1 AQ-VF2 AQ-VF3 AQ-VF4 Ocean asset account (TG-3.1)Opening + additions − reductions = closingPhysical and monetary Physical supply and use tableExtraction = natural-resource input Production account and NDPDepletion = NDP deduction;aquaculture harvest in output Government finance statisticsGovernment rent reconciled,not added Ecosystem service flowsFlows consistent withextent × condition Sub-national accountsRegional parts sum to national National GHG inventoryCarbon stock change vs netsequestration; GWP values matched Remote-sensing extentGlobal extent products Fish stock assessmentsRegional fisheries body or nationalassessment; FAO FishStatJ Geological survey reservesMineral and energy estimates National balance sheetPublished asset values Inside the asset account -- AQ-ID6 (TG-6.7) Fish-stock value (SEEA CF)Stand-alone natural-resource asset Ecosystem asset totalSEEA EA; its services value the stock MUST NOT BE SUMMED Key Reconciliation: must agree withinthe plan's tolerance, or thedifference is explained Verification: a gap shows whereto look; it cannot confirm Must not be summed

Figure 3.16.4 The asset account is reconciled with neighbouring accounts and verified against independent data; each spoke names its check and owning circular. Source: TG-3.1 Step 6; TG-3.2; TG-3.7; TG-3.11; TG-6.2; IPCC (2006) Vol. 1, Ch. 6, Section 6.10; IMF DQAF element 3.4. Note: Reconciliation pairs must agree within the tolerance in the QA/QC plan or be explained in the log.

IDAsset-account cellMust agree withOwner
AQ-RC1ExtractionNatural-resource input in the physical supply and use tableTG-3.2; TG-3.1 Step 6
AQ-RC2DepletionDepletion deducted in net domestic productTG-3.1 Step 6
AQ-RC3Aquaculture harvestHarvest in the production accountTG-3.9
AQ-RC4Total resource rentGovernment rent receipts and government finance statistics, reconciled, not addedTG-3.7; TG-3.1
AQ-RC5Service flowsExtent × condition capacityTG-3.1 Step 6
AQ-RC6Change-matrix marginsOpening and closing extent (run as AQ-ID5)TG-3.1
AQ-RC7Sub-national partsNational totals, with ratios rebuilt from levelsTG-3.11
AQ-RC8Carbon stock changeNet sequestration, in sign and order of magnitudeTG-6.2; TG-6.3

Table 3.16.6: Reconciliation matrix.

Verification compares the account with data from outside it1, 5. It cannot confirm a figure, because the comparator has its own error, but a large gap shows where to look. The checks are:

  • AQ-VF1. Extent against a global product; document the cause of a gap over 15% (TG-4.1 Section 3.3.5).
  • AQ-VF2. Stock against the regional fisheries body’s or the national assessment, and catch against FAO FishStatJ.
  • AQ-VF3. Mineral and energy reserves against the geological survey.
  • AQ-VF4. Monetary totals against the national balance sheet.
  • AQ-VF5. Carbon stocks and flows against the national GHG inventory, with global warming potentials matched to the inventory’s.

Trend checks. Each cycle is compared with the previous one, following IPCC practice1. Implied unit prices and unit rents are compared across years, and any extent change beyond the national threshold in the plan is investigated.

TG-0.7 Section 3.6 defines one flag scheme. This Circular applies it to asset cells in two fields, so that a cell can say both how good it is and how it was obtained (Figure 3.16.5):

TG-3.16 -- Decision tree for assigning a quality flag to an asset-account cell A decision tree with four questions, read top to bottom, assigns the flag for one asset-account cell. Question 1: is a value available? If not, an availability code replaces the grade: X for suppressed (for confidentiality or quality), n/a for not applicable, and two dots for not available; a confirmed zero is recorded as 0, not as two dots (AQ-EX6). If a value is available, question 2 grades it from the evidence (AQ-FL2) as A, B or C. The interim thresholds, proposed for consultation, are a relative 95 per cent half-width of 10 per cent or less for A, 30 per cent or less for B, and otherwise C. Extent is graded from the accuracy assessment (AQ-EX1) and the area-adjusted confidence interval, stock from the stock assessment, and condition from the standard error of the index. A monetary cell takes the lower of its physical and valuation grades, never the higher. Question 3 records the status from how the value was obtained: provisional gives status P; estimated, modelled or benefit transfer gives status E; measured or compiled gives no status. Question 4 asks whether the cell is an aggregate (AQ-FL3). If yes, it takes the lowest grade of its inputs and the status of any input; an input under 5 per cent of the aggregate may be set aside only if documented, under the exception in TG-0.7 Section 3.6. If no, the flag stands as assigned. The output is the printed flag, grade then status, for example A in brackets, B dot E in brackets, or C dot E in brackets. A side note says that the SDMX OBS_STATUS attribute goes in its own field and is never printed as the grade, because A means normal in SDMX but high quality in TG-0.7. A legend shows how local scales map in: high, medium and low confidence map to A, B and C; conditionally accepted maps to C; provisional, indicative or fallback values map to P; modelled, benefit-transfer or traditional-knowledge-derived values map to E; and data held but with publication restricted maps to X. One asset-account cell 1 Is a value available? No Availability code replaces the grade X suppressed (confidentiality or quality) n/a not applicable .. not available A confirmed zero is recorded as 0, not '..' (AQ-EX6) Yes 2 Grade from the evidenceAQ-FL2 basis Interim thresholds (proposed) Relative 95% half-width: ≤10% → A; ≤30% → B; otherwise C Extent: accuracy assessment (AQ-EX1) and area-adjusted CI Stock: stock assessment · Condition: index standard error Monetary cell: lower of physical and valuation grades, never higher grade A / B / C 3 Status: how was it obtained? Provisional P Estimated, modelled or benefit transfer E Measured or compiled no status grade + status 4 Is the cell an aggregate?AQ-FL3 Yes Lowest input grade; status of any input An input under 5% of the aggregate may be set aside only if documented (TG-0.7 Section 3.6 exception) No: flag as assigned Printed flag: grade, then status [A] [B·E] [C·E] examples kept separate SDMX OBS_STATUS: its own field Never printed as the grade: "A" means normal in SDMX but high quality in TG-0.7 How local scales map in High / Medium / Low confidence → A / B / C "Conditionally accepted" → C "Data held, publication restricted" → X Provisional, indicative or fallback → P Modelled, benefit-transfer or TK-derived → E

Figure 3.16.5 Each asset cell carries a grade from its evidence and a status from how it was obtained; availability codes replace the grade. Aggregates take the lowest input grade, and SDMX observation status stays in its own field. Source: TG-0.7 Section 3.6 (flag scheme and lowest-flag rule); TG-3.16 Section 3.7 (AQ-FL1 to AQ-FL3). Note: Grade thresholds are interim and proposed for consultation.

  • AQ-FL1: two fields per cell. A grade (A, B or C) and a status (P for provisional, E for estimated, or none). The availability codes X, n/a and ”..” replace the grade. An SDMX observation status, where reported, goes in a third field and is never printed as the grade (“A” means normal in SDMX). In the tables of Section 3.8 the flag follows the value in brackets, grade first: [A], or [C·E] for a grade-C estimated value.
  • AQ-FL2: what a grade rests on. The grade basis is proposed for consultation, as follows. Extent takes its grade from AQ-EX1 and the width of the area-adjusted confidence interval. A stock takes its grade from the stock assessment, and condition from the standard error of the index. Where no standard error can be computed, which is common where condition variables come from published studies and non-probability surveys, the condition grade rests on the evidence behind each input instead: A for a full-text primary source that reports n and a labelled dispersion type; B for a full-text source without them, or a statistic the compiler computed from non-probability survey records; C for a value read from an abstract, from grey literature or digitised from a figure. A regional or global proxy takes status E. The index takes the lowest grade of its inputs under AQ-FL3. A monetary cell takes the lower of its physical grade and its valuation grade, and never a higher one. The interim thresholds, adopted as a proposal only pending decision on the flag scheme, are a relative 95% half-width of at most 10% for A and at most 30% for B, with C above that.
  • AQ-FL3: propagation. An aggregate takes the lowest grade of its inputs, and the status of any. A closing stock takes the lowest flag of its opening stock and its flows, and depletion takes the flag of the sustainable yield. The TG-0.7 exception, which lets an input under 5% of the aggregate be set aside, may be used only where it is documented; the worked example uses it twice and records both.
  • AQ-FL4: tier direction. Any tier cited in the account or its metadata states its scheme and direction (TG-0.7 Section 3.8), because some circulars use Tier 1 for the best data.

Local scales map onto the scheme. High, medium and low confidence become A, B and C. TG-4.1’s “conditionally accepted” becomes C. Provisional, indicative and fallback values take status P, and modelled, benefit-transfer and TK-derived values take status E. “Data held but publication restricted” becomes X.

3.8 Worked Example: A Coastal Asset Account with Seeded Errors

Section titled “3.8 Worked Example: A Coastal Asset Account with Seeded Errors”

This example is synthetic, and every number in it comes from one script run on one set of inputs. It is independent of the TG-3.1 worked example. An accounting area of 1,200 km² holds five ecosystem types, one demersal fish stock and a mangrove condition account; the period is one calendar year, and money is in USD thousand at current prices. The submitted accounts contain nine deliberate errors, E1 to E9, of kinds common in compiled accounts (Table 3.16.7).

ErrorWhat the compiler didTableCaught by
E1Booked 0.4 km² of mangrove converted to ponds as a reduction, with no destinationWE-2AQ-ID3, AQ-ID4, AQ-ID5
E2Booked seagrass loss of 0.9 km² and gain of 0.3 km² as one net conversion of 0.6 km²WE-2AQ-ID5
E3Applied the mangrove condition index to the flow and again to the valueWE-6aAQ-VA2, AQ-PM4
E4Priced mangrove and seagrass carbon at a social cost of carbonWE-1, WE-6aAQ-VA6, AQ-VA3
E5Entered the seagrass conversion ten times too largeWE-6aAQ-UN1, AQ-EV2
E6Added the stand-alone SEEA CF fish-stock value to the ecosystem totalWE-6cAQ-ID6
E7Valued the catastrophic fish loss inside the catch row and again on its ownWE-6bAQ-PM1
E8Computed stock status on total biomass instead of SSBWE-5AQ-FS1
E9Quoted the conversion as a share of the mangrove type, not of the accounting areaWE-6dAQ-UN4

Table 3.16.7: Seeded errors and the checks that catch them.

Two things in Table 3.16.7 are worth noticing. First, AQ-ID1 catches none of the errors: every submitted column balances. Second, several errors trip more than one check. E4 is the clearest case: a welfare price for carbon breaks the exchange-value rule, and by inflating carbon’s share of the mangrove’s annual flow value it also takes the asset outside the conditions under which the linear degradation shortcut may be used.

Three tables are printed here: the submitted monetary ecosystem account, which holds three of the errors; the QC log; and the same account corrected and flagged. All 22 tables of the example — the parameter register, the extent, change-matrix, condition and fish-stock accounts, every submitted and corrected table, the reconciliation and the uncertainty results — are in a companion page, with the QC log also as CSV.

Table WE-6a: Monetary ecosystem asset account, as submitted (USD thousand)

Accounting entryMangroveSeagrassAquaculture pondsTotal
Opening value132,85922,5870155,446
Ecosystem enhancement0000
Ecosystem degradation-5,066....-5,066
Ecosystem conversions (additions)02710271
Ecosystem conversions (reductions)-886-8,1310-9,017
Catastrophic losses0000
Reappraisals0000
Revaluation0000
Closing value126,90714,7270141,634

Subtidal sediment and Shelf waters: not valued (”..”), so not shown. Aquaculture ponds: a confirmed zero, not a gap.

Table WE-6a: Monetary ecosystem asset account as submitted, containing errors E3, E4 and E5. Structure after TG-3.1 Table 4.

The QC log is the record the reviewer reads (Table WE-7). One line is written per finding, naming the check, the cell and what was found; the fix is recorded against the same line.

Table WE-7: QC log for the submitted set

CheckCellFinding
AQ-ID3WE-2 total closingClosing total 1,199.6 km² against an EAA of 1,200.0 km²
AQ-ID4WE-2 mangrove reductions0.4 km² leaves mangrove with no destination type and no change to the EAA boundary
AQ-ID5WE-2 mangrove conversions toAccount records 0.0 km²; matrix off-diagonals give 0.4 km²
AQ-ID5WE-2 seagrass conversions toAccount records 0.6 km²; matrix off-diagonals give 0.9 km²
AQ-ID5WE-2 seagrass conversions fromAccount records 0.0 km²; matrix off-diagonals give 0.3 km²
AQ-ID5WE-3 ponds columnColumn margin 15.4 km² against closing extent 15.0 km²
AQ-ID5WE-2 ponds conversions fromAccount records 0.0 km²; matrix off-diagonals give 0.4 km²
AQ-ID5WE-2 sediment conversions toAccount records 0.0 km²; matrix off-diagonals give 0.3 km²
AQ-ID5WE-2 sediment conversions fromAccount records 0.6 km²; matrix off-diagonals give 0.9 km²
AQ-ID6WE-6c total openingTotal exceeds the ecosystem types by 49,023, the stand-alone SEEA CF fish-stock value
AQ-ID6WE-6c total closingTotal exceeds the ecosystem types by 50,839, the stand-alone SEEA CF fish-stock value
AQ-UN1WE-6a seagrass conversions (reductions)Implied 9,035 per km² against an opening unit value of 903 per km²: about 10 times
AQ-UN4text N1Text says 0.667; recomputed 0.033
AQ-PM1WE-6b catchEntry values 7,500 t; the physical account records 7,000 t
AQ-PM4WE-6a mangrove degradationEntry -5,066; index decline × PV of affected services gives -3,579
AQ-VA2WE-6a mangrove openingValue implies a condition factor of 0.533; the index is 0.730 (the index squared)
AQ-VA2WE-6a mangrove closingValue implies a condition factor of 0.470; the index is 0.685 (the index squared)
AQ-VA3WE-6a mangrove degradationLargest service (carbon) is 60% of annual flow value, not over 70%
AQ-VA6WE-1 carbon priceCarbon priced on an SCC basis (USD 185 per tCO₂e); account cells hold exchange values
AQ-FS1WE-5 B/BMSYRatio 1.91 computed on total biomass; on SSB it is 0.78
AQ-EV2WE-6a seagrass conversions (reductions)Entry -8,131; 0.9 km² × 903.5 gives -813

Table WE-7: QC log. Thirteen checks fail; AQ-ID1 is not among them.

Each correction follows the rule its check names; here the condition index enters once, carbon takes the exchange-value price, and the seagrass entry is re-derived from its unit value.

Table WE-8c: Monetary ecosystem asset account, corrected and flagged (USD thousand)

Accounting entryMangroveSeagrassAquaculture pondsTotal
Opening value73,628 [C·E]14,529 [C·E]0 [A]88,157 [C·E]
Ecosystem enhancement0000
Ecosystem degradation-3,579....-3,579
Ecosystem conversions (additions)01740174
Ecosystem conversions (reductions)-491-5230-1,014
Catastrophic losses0000
Reappraisals0000
Revaluation0000
Closing value69,558 [C·E]14,180 [C·E]0 [A]83,738 [C·E]

Subtidal sediment and Shelf waters: not valued (”..”), so not shown. Aquaculture ponds: a confirmed zero, not a gap.

Table WE-8c: Monetary ecosystem asset account, corrected. Every valued cell except the confirmed zero for ponds is C·E, because the valuation ranges are wide (companion Table WE-10b).

What the example shows. An account can be internally consistent and still wrong in six ways. It can be incomplete (E1); recorded net where gross is required (E2); in breach of a valuation rule (E3, E4); carrying an arithmetic slip (E5, E9); letting a total or a row take in an item that belongs elsewhere (E6, E7); or computing a derived figure on the wrong concept (E8). Each is caught by a check that recomputes from evidence outside the row being checked: the change matrix, the parameter register, the unit value, the physical account, or the stock assessment.

TG-0.7 Section 3.4 names the four categories of uncertainty from SEEA EA paras 2.90—2.94, with their usual sources in ocean accounts2, and this Circular does not repeat them. For asset accounts three physical sources dominate, and each has its method elsewhere: the area confidence interval from the accuracy assessment (AQ-EX2), the biomass and sustainable-yield intervals from the stock assessment (TG-6.7 Section 3.6), and the standard error of the condition index (AQ-CO5). Valuation and future-price uncertainty are carried by the discount-rate grid (AQ-VA5) and by the range reported with every value.

Method. Uncertainty is quantified up a ladder, going as far as the data allow: a qualitative statement; an analytic, first-order combination in the manner of the GUM11; Monte Carlo propagation with at least 1,000 draws12; and a Bayesian treatment where priors are defensible. Intervals are reported at 95%. For an asset valued as the present value of its flows, the analytic step is

V=∑t=1TQt pt(1+r)t,(uVV)2≈(uQQ)2+(upp)2V = \sum_{t=1}^{T}\frac{Q_t\,p_t}{(1+r)^t}, \qquad \left(\frac{u_V}{V}\right)^2 \approx \left(\frac{u_Q}{Q}\right)^2 + \left(\frac{u_p}{p}\right)^2

where Qt is the quantity, pt the unit value, and u a standard uncertainty. The quadrature form assumes the quantity and the price are independent. Where they are not, as when a sustainable yield and a unit rent both depend on the same biomass, Monte Carlo over rent, sustainable yield, discount rate and horizon replaces it.

Reporting. Every monetary asset value is published with its range. The discount-rate grid (AQ-VA5) and the aggregation-rule sensitivity (AQ-CO4) go beside the account, not in an annex a user may not open.

Modelled flows. Where a service flow or a stock comes from a model, it is validated as TG-4.11 Section 3.3 sets out. Until it is, it is flagged E (TG-4.5 Section 3.3.3). A biophysical model also conserves mass and area, the check the IPCC 2019 Refinement adds in Section 6.1213.

AQ-RV1: review. A reviewer not involved in compilation reviews the evidence pack, recomputes a sample of cells and every headline figure, and logs each finding as closed or accepted1. Independent review is recommended, not a condition of release. For an asset account the reviewer should include a subject specialist for each part compiled: a stock-assessment scientist for the stock, a remote-sensing accuracy specialist for extent, and an environmental economist for valuation. Tier 3 makes this the standard (Section 3.2).

AQ-RV2: documentation. The four documentation categories of TG-0.7 Section 3.5 are completed for the account2. Beyond these, an asset account records the biomass concept, the assessment vintage and the valuation method; every other setting is in the parameter register (Section 3.3). Where an SDG indicator is derived from the account, the validation and quality fields of its metadata (4.d and 4.i to 4.k) are completed from the same record14.

AQ-RV3: archive. Inputs, version-controlled code, the parameter register, the QC log and the outputs are archived together, sufficient for anyone to reproduce every published cell1, 15.

AQ-RV4: release gate. The account is released when four conditions hold:

  • no blocking issue is open in the issue register;
  • no P-flagged value appears in headline text;
  • the statistical owner has signed off;
  • traditional knowledge is released only with the community authority’s written approval.

Initial monetary releases are labelled experimental (AQ-EV4).

The evidence pack. Every account keeps a generic evidence pack: the scope and boundary statement (accounting area, period, boundaries, residence or territory, BSU level); the QA/QC plan with its tolerance register; the source register (every source, its owner, licence, date, method and coverage); and the archive manifest. Table 3.16.8 lists what an asset account adds; each item is produced during compilation, and none is written for the review.

ItemContents
Balanced workbookAn identity column on every table; opening = previous closing
Depletion and degradation trace sheetAQ-PM3 and AQ-PM4, cell by cell
Constant-price viewAQ-PM5
Valuation parameter registerEvery parameter with its source, vintage and owner
Accuracy reportAQ-EX1 and AQ-EX2
Stock-assessment acceptance noteAQ-FS1 to AQ-FS6
Reconciliation and verification logTable 3.16.6
Flagged table setA grade and status on every cell; the lowest-flag derivation for aggregates
Uncertainty annexMethod, ranges and sensitivity grids
Revision and break logRevision class, back-casts, breaks
Review recordReviewer, sample recomputed, findings, dispositions

Table 3.16.8: What an asset account adds to the generic evidence pack.

Four limits apply to everything above. First, a future SEEA quality framework may supersede parts of this Circular (Section 3.1). Second, the tolerances here are indicative. Several are GOAP proposals, not SEEA rules: the 0.20 decline and 70% share of the linear shortcut, the 80% and 75% accuracy thresholds, and the interim grade thresholds. Third, the monetary ecosystem checks inherit the status the UN Statistical Commission gave SEEA EA chapters 8 to 11: internationally recognised statistical principles and recommendations, and not a full statistical standard16. Fourth, coherence is not validity. An account can pass every check here and still rest on an ecological model that is wrong, and only verification against independent observation, repeated over cycles, tests that.

Authors: [To be confirmed]

Reviewers: [To be confirmed]

The structure of this Circular draws on the IPCC inventory guidelines’ treatment of quality assurance, quality control and verification, on the UN National Quality Assurance Frameworks Manual, and on the IMF Data Quality Assessment Framework.

Footnotes
  1. IPCC (2006). 2006 IPCC Guidelines for National Greenhouse Gas Inventories, Volume 1, Chapter 6: Quality Assurance/Quality Control and Verification. Box 6.1 (definitions), Section 6.4 (roles, including the QA/QC coordinator), Section 6.5 (QA/QC plan and data-quality objectives), Section 6.6 and Table 6.1 (general QC procedures, including trend checks and sampling across years), Section 6.8 (QA by reviewers not involved in compilation), Section 6.10 (verification), Section 6.11.1 (internal documentation and archiving). IGES, Hayama. https://www.ipcc-nggip.iges.or.jp/public/2006gl/pdf/1_Volume1/V1_6_Ch6_QA_QC.pdf ↩ ↩2 ↩3 ↩4 ↩5 ↩6 ↩7 ↩8 ↩9 ↩10

  2. United Nations et al. (2024). System of Environmental-Economic Accounting — Ecosystem Accounting, Statistical Papers Series F No. 124. Paras 2.86—2.89 (data quality; para 2.89 refers to the IMF DQAF), 2.90—2.94 (four categories of uncertainty), 2.95 (documentation of scope, definitions, methods and assumptions); the Section D overview, which suggests labelling initial monetary releases as experimental; and the research and development agenda, which lists data quality assessment frameworks as future work. Paragraph numbers are the same in the 2021 white-cover edition. ↩ ↩2 ↩3 ↩4

  3. United Nations et al. (2014). System of Environmental-Economic Accounting 2012 — Central Framework. Paras 1.54 and 6.7 (data confrontation), 6.64—6.70 (time series and revisions; para 6.68, revisions as standard practice), 6.86 (volume measures as data confrontation). ↩ ↩2

  4. United Nations (2019). United Nations National Quality Assurance Frameworks Manual for Official Statistics, Studies in Methods Series M No. 100. Requirement 15.1: “Source data, integrated data, intermediate results and statistical outputs are regularly assessed and validated.” Welcomed by the UN Statistical Commission, decision 50/106. ↩

  5. International Monetary Fund. Data Quality Assessment Framework: Generic Framework. Element 3.4, assessment and validation of intermediate data and statistical outputs (indicators 3.4.1—3.4.3). https://dsbb.imf.org/content/pdfs/dqrs_Genframework.pdf ↩ ↩2

  6. UNECE (2025). Generic Statistical Business Process Model, version 5.2. Sub-processes 5.3 (review and validate) and 6.2 (validate outputs). ↩

  7. SEEA EA (2024), para 10.40: documenting all revisions to the accounts is strongly recommended for data quality assessment. ↩

  8. SEEA EA (2024), para 4.17: no distinct entry is recorded for revisions to extent; the entries for opening and closing extent and for additions and reductions are altered, and it may be appropriate to show the size of the revision for analysis and dissemination. ↩

  9. SEEA EA (2024), para 10.38: reappraisals are recorded when updated information permits a reassessment of the expected condition of ecosystem assets or the future demand for their services. ↩

  10. Olofsson, P., Foody, G. M., Herold, M., Stehman, S. V., Woodcock, C. E. and Wulder, M. A. (2014). Good practices for estimating area and assessing accuracy of land change. Remote Sensing of Environment 148, 42—57. https://doi.org/10.1016/j.rse.2014.02.015 ↩

  11. JCGM (2008). Evaluation of measurement data — Guide to the expression of uncertainty in measurement (GUM), JCGM 100:2008. ↩

  12. JCGM (2008). Evaluation of measurement data — Supplement 1 to the GUM: Propagation of distributions using a Monte Carlo method, JCGM 101:2008. ↩

  13. IPCC (2019). 2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories, Volume 1, Chapter 6, Section 6.12: Use and reporting of models, including conservation of mass and land area. ↩

  14. United Nations Statistics Division. SDG indicator metadata template, fields 4.d (validation) and 4.i—4.k (quality management, quality assurance, quality assessment). See, for example, the metadata for indicator 14.5.1. ↩

  15. United Nations (2022). Guidelines on Biophysical Modelling for Ecosystem Accounting, Chapter 7: Data quality for biophysical modelling. Paras 359—369 (accuracy, reliability and model validation), 374—375 (provenance and version control). ↩

  16. United Nations Statistical Commission, decision 52/108 (March 2021), as recorded in the Preface to SEEA EA (2024): chapters 8 to 11 “describe internationally recognized statistical principles and recommendations for the valuation of ecosystem services and assets”. The Commission adopted chapters 1 to 7 as an international statistical standard. ↩