BEGIN:VCALENDAR VERSION:2.0 PRODID:-//pretalx//talks.staging.osgeo.org//foss4g-2022//speaker//RAGSWD BEGIN:VTIMEZONE TZID:CET BEGIN:STANDARD DTSTART:20001029T040000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET TZOFFSETFROM:+0200 TZOFFSETTO:+0100 END:STANDARD BEGIN:DAYLIGHT DTSTART:20000326T030000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST TZOFFSETFROM:+0100 TZOFFSETTO:+0200 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:pretalx-foss4g-2022-A9Q89J@talks.staging.osgeo.org DTSTART;TZID=CET:20220825T123000 DTEND;TZID=CET:20220825T130000 DESCRIPTION:Humanity is facing a number of challenges\, among which climate change and biodiversity loss range in top positions. Investors are expose d to those risks through their investee companies given their dependence o n biodiversity and ecosystem services. Therefore\, just recently the finan cial community has started to pay attention to the economic and financial consequences of biodiversity loss. However\, a key challenge is that a con ceptual framework for measuring and understanding biodiversity-related fin ancial risks (physical and transition risks) is less advanced than for cli mate-related financial risks. Thus the topic of biodiversity and correspon ding risks is gaining momentum and methodologies how to assess them are be ing developed. In this context and due to the mounting pressure of biodive rsity loss numerous frameworks like the EU Taxonomy for sustainable activi ties or the Task Force on Nature related Financial Disclosures (TNFD) have recently been created that try to curb these effects at scale. The intent ion of the international community is to channel investments to business v entures that do not harm biodiversity or ideally even regenerate it while investors are generally interested in minimizing their risks. To this end a consortium of financial specialists\, biodiversity experts and remote se nsing data analysts is developing a methodology and prototypical platform\ , initiated by WWF Switzerland\, that quantifies the physical risks\, i. e . risks associated with degrading ecosystem services (at the site level su bject to data availability). Part of the innovation is to quantify ecosyst em service dynamics at asset locations\, i. e. the locations where compani es actually produce their goods. The production sites and related activiti es are analyzed with regard to their dependency on five ecosystem services \, namely (i) surface water\, (ii) flood and storm protection\, (iii) poll ination\, (iv) fiber & other materials and (v) climate regulation to quant ify the physical risk at these locations by means of an index. This presen tation focuses on the physical risk module\, where EO data products repres ent a valuable source of information. The module builds on fundamental wor k done in the ENCORE project\, in which the relationships between drivers of environmental change\, natural capital assets\, ecosystem services and production processes have been described exhaustively for the entire econo my. Additionally\, established databases containing information on the sta tus of natural capital assets\, e.g. the WRI Aqueduct 3.0 dataset on the s patial distribution of water-related risks\, are used as a baseline agains t which other data can be compared. Up-to-date EO data products are then u sed to assess drivers of environmental change to investigate dynamics and trends\, and to identify potential threats to the natural capital assets a nd the provisioning of corresponding economy-relevant ecosystem services. Here\, we focus on drivers responsible for biodiversity loss\, for example by using annual global land cover data from the Copernicus Global Land Se rvice to assess habitat modification due to land cover change. DTSTAMP:20260403T155835Z LOCATION:General online SUMMARY:Developing a pilot method to measure biodiversity related financial risk at financial portfolio level using Earth Observation and other spati ally explicit data - Hinrich Paulsen\, Momen Mawad URL:https://talks.staging.osgeo.org/foss4g-2022/talk/A9Q89J/ END:VEVENT END:VCALENDAR