BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//pretalx.com//scipy-2026//speaker//T33PGE
BEGIN:VTIMEZONE
TZID:CST
BEGIN:STANDARD
DTSTART:20001029T030000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10;UNTIL=20061029T080000Z
TZNAME:CST
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
END:STANDARD
BEGIN:STANDARD
DTSTART:20071104T030000
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:CST
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20000402T030000
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=4;UNTIL=20060402T090000Z
TZNAME:CDT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
END:DAYLIGHT
BEGIN:DAYLIGHT
DTSTART:20070311T030000
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:CDT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-scipy-2026-ZTAB8K@pretalx.com
DTSTART;TZID=CST:20260715T112500
DTEND;TZID=CST:20260715T115500
DESCRIPTION:The Ecosystem Services Market Consortium (ESMC) is expanding it
 s agricultural sustainability programs to include biodiversity outcomes ac
 ross the United States. To support this effort\, we developed a Python-bas
 ed Biodiversity Metric Module that estimates biodiversity gains associated
  with agricultural best management practices. The module integrates nation
 al land cover data\, species occurrence records\, protected lands datasets
 \, and soil microbial biomass information within a unified geospatial work
 flow to generate standardized biodiversity unit estimates. This presentati
 on outlines the ecological framework\, computational architecture\, and le
 ssons learned while scaling biodiversity assessment across thousands of sp
 atially explicit agricultural fields.
DTSTAMP:20260622T095200Z
LOCATION:Thomas Swain Room
SUMMARY:Computational Biodiversity Accounting for Agricultural Systems with
  Python - Hannah Ferriby
URL:https://pretalx.com/scipy-2026/talk/ZTAB8K/
END:VEVENT
END:VCALENDAR