Sub-group 3B Metrics and midpoint characterisation factors Webinar - PowerPoint PPT Presentation

Aligning Biodiversity Measures for Business Sub-group 3B Metrics and midpoint characterisation factors Webinar 5 September 2019

Agenda  Introduction of participants and reminder of the objectives and context of the Aligning Biodiversity Measures for Business initiative  Reminder of the objectives and terms of reference of the sub-group and of the webinar  Review of the SG3B position paper to finalize it for the Brazil workshop  Output #1 - Language mapping (30min)  Impacts persistent over time  Output #2 - Differences between metrics (30min)  Output #3B - Link between inventories of species and habitat and aggregated metrics approaches (15min)  Remaining open questions and discussions  Choice of dates for the next webinar

Introduction of participants

Reminder of the objectives and context of the Aligning Biodiversity Measures for Business initiative

Reminder of the objectives of the sub-group and of the webinar

Mentimeter  Go to www.menti.com and use the code 28 57 65  What is this session about?

Objectives of the sub-group (and suggestion of rephrasing) 1. Explore the differences between metrics and midpoint calculations across different measurement approaches and the reasons for the current divergence.  Explore the difference between metrics and calculation intermediaries across different measurement approaches and the reasons for the current divergence.

Objectives of the sub-group (and suggestion of rephrasing) 2. Propose bridges between metrics (e.g. conversion factors or translation of characterisation factors in different metrics) and propose common midpoint characterisation factors .  Propose bridges between metrics (e.g. conversion factors or translation of characterisation factors in different metrics) and common characterisation factors .

Objectives of the sub-group (and suggestion of rephrasing) 3. Identify how to disaggregate footprinting metrics and aggregate site level metrics , creating complementarity between the two.  Explore complementarity between aggregate metrics and metrics focused on elementary components of biodiversity (taxa, habitats)

Potential outcome of the sub-groups 3A and 3B: a (partial) harmonisation of inputs and calculation intermediaries facilitating conversions between metrics Calculation Impacts on Input data intermediaries biodiversity Initiative 1 Initiative 2 Initiative 3 Corporate data Metrics and midpoint characterisation input sub- factors sub-group #3B group #3A Initiative 1 Initiative 2 Initiative 3 PAGE 10

Expected outputs of the sub-group 1. Mapping of the language of the LCA community with language used to describe a more direct measurement of biodiversity . This mapping will comprise language used by LCA practitioners, EIA practitioners, biodiversity specialists and natural capital assessment (Natural Capital Protocol) and accounting 2. Analysis of differences between metrics and calculation intermediaries and reason for divergence 3. Exploration of: a. Linkages between the different metrics and the different characterisation factors b. How approaches focusing on aggregated metrics or elementary components of biodiversity can link and complement each other.

Linkage of the sub-group with sub-group 3A on corporate data inputs Modeling of biodiversity impacts based on pressures and economic activity Tools or approach ① Company’s data Secondary Impacts on Endpoints Input inventory data CF biodiversity CF data & midpoints CF (endpoint) ② Fall back data sets Sub-group 3B (rationale of the different metrics) Sub-group 3B Sub-group 3A (characterisation factors) Direct evaluation of biodiversity impacts based on data on biodiversity state ① Company’s data Input data Impacts on biodiversity ② Fall back data sets Sub-group 3B (rationale of the Sub-group 3A different metrics)

Objectives of the webinar 1. Review the SG3B draft position paper and provide feedback to validate it as input of the sub-group to the Brazil workshop. 2. Plan the next webinar on bridges between metrics.

Mentimeter  Go to www.menti.com and use the code 28 57 65  Questions?  add them to the parking lot

Review of the SG3B position paper to finalize it for the Brazil workshop

REVIEW - Introduction

SG3B position paper  20190902_ABMB_SG3B-metrics-midpoints_position- paper_v2_04092019.docx  Sent by Julie Dimitrijevic on 4 th September

REVIEW – OUTPUT #1 - Language mapping

www.menti.com Definitions 28 57 65  #1 - Midpoint: Strictly speaking, a midpoint is a point in the cause-effect chain (environmental mechanism) of a particular impact category.). In other words, it is an intermediary step in the calculation of impacts allowing to link input data to impact results. For example, if the endpoint is the loss of biodiversity linked to eutrophication at some point, then a midpoint could be nitrogen concentration.  #2 - Characterisation factor: Coefficients used in calculations (e.g. the Global Warming Potential of methane is a characterisation factor which allows to calculate how much kg CO2-eq. is worth a kg of methane).

www.menti.com Definitions 28 57 65  #3 - Inventory data: Data related to emissions and extraction of resources such as raw materials, water, land use and land conversion.  #4 - Activity data: The amount of material the organisation assessed extracts, produces, purchases or finances: for instance the amount of cotton that goes into a T-shirt, or the amount a financial institution invests in a company.  #5 - Primary data: Inputs directly based on company data.  #6 - Secondary data: Data derived from external (sometimes global) data sets.

www.menti.com Definitions 28 57 65  #7 – Endpoint: The final element that is being assessed, corresponding to ecosystem quality (e.g. quantified with local species loss integrated over time, in species.year) , resource scarcity or human health (e.g. quantified in disability adjusted life years).

www.menti.com Definitions 28 57 65  #8 - Impact driver: A measurable quantity of a natural resource that is used as an input to production (e.g., volume of sand and gravel used in construction) or a measurable non-product output of business activity (e.g., a kilogram of NOx emissions released into the atmosphere by a manufacturing facility) (Natural Capital Coalition, 2016).  #9 - Pressure: Driving forces lead to human activities such as transportation or food production, i.e. result in meeting a need. These human activities exert 'pressures' on the environment, as a result of production or consumption processes, which can be divided into three main types: (i) excessive use of environmental resources, (ii) changes in land use, and (iii) emissions (of chemicals, waste, radiation, noise) to air, water and soil (Peter Kristensen 2014). Also called “direct drivers” of biodiversity loss by the International Panel on Biodiversity and Ecosystem Services (IPBES).

www.menti.com Definitions 28 57 65  #10 – Impact on biodiversity: The negative or positive effect of business activity on biodiversity.  #11 - Input data: All the data fed as inputs to the different tools (cf. sub-group #3A).  #12 - Calculation intermediaries: All the items involved in modelling calculations between input data and impacts on biodiversity.

www.menti.com Language mapping – Table 1 28 57 65 Vocabulary used in Examples (non- Associated NCP steps Natural Capital EIA Life Cycle Assessments SG3B ’s position paper exhaustive) Tons of wheat Activity - Inputs consumed data Primary Tons of CO 2 or CH 4 Input data Inventory inventory emitted data data Hectares of natural forest converted Secondary inventory 5 – Measure impact Impact data drivers and/or drivers dependencies - Outputs Tons of CO 2 equivalent Calculation intermediaries Global Mean Midpoints Temperature Increase Pressures Land occupation Land transformation Number of species lost 6 – Measure changes in the state of natural Impacts on biodiversity Biodiversity endpoint Impacts on biodiversity MSA.km 2 or PDF.km 2 .yr capital lost 7 – Value impacts Impacts on industry and Loss of agricultural yield NA and/or dependencies society The EIA column is currently only partially filled. Inputs from sub-group #3B members are PAGE 24 welcome to complete it.

Definitions  Cf. SG3A:  Indicator : “A quantitative or qualitative factor or variable that provides a simple and reliable means to measure achievement, to reflect changes connected to an intervention, or to help assess the performance of a development actor”  Measure : an assessment of the amount, extent or condition, usually expressed in physical terms. Can be either qualitative or quantitative.  Metric : “A system or standard of measurement”. A combination of measures or modelled elements. The Mean Species Abundance (MSA) and the Potentially Disappeared Fraction (PDF) are for instance metrics expressed as a percentage.  Unit : a standard measure that is used to express amounts. For instance MSA.m 2 or PDF.yr.m 2 are units. PAGE 25

Language mapping  What is your general feedback on output #1 – Language mapping?

REVIEW - Impacts persistent over time

Mentimeter  Go to www.menti.com and use the code 28 57 65  What is time integration about?