BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//pretalx.earthmonitor.org//8KQXNP
BEGIN:VTIMEZONE
TZID:Europe/Madrid
BEGIN:STANDARD
DTSTART:20001029T030000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:CET
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20000326T020000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:CEST
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-global-workshop-2026-8KQXNP@pretalx.earthmonitor.org
DTSTART;TZID=Europe/Madrid:20261007T154500
DTEND;TZID=Europe/Madrid:20261007T160000
DESCRIPTION:The Carbon Lab research consortium\, Global Pasture Watch\, has
  produced comprehensive global pasture maps at 30-meter resolution coverin
 g the period 2000–2022. Generating consistent global information on past
 ure is statistically challenging due to the need to discriminate among mul
 tiple grassland types\, management intensities\, and closely related land-
 cover categories. Here\, we present the first statistically rigorous globa
 l area estimates for the grassland domain\, distinguishing six grassland c
 lasses: (1) natural and semi-natural permanent grasslands without visible 
 livestock\, (2) natural permanent woody vegetation within open woodlands\,
  (3) semi-natural permanent grasslands with visible livestock presence\, (
 4) temporary grasslands linked to other land use\, (5) improved permanent 
 grasslands associated with livestock\, and (6) improved permanent grasslan
 ds associated with other land use\, alongside estimates for other land-cov
 er classes.\nWe describe the sampling design used to validate the 2020 sta
 tic map and to derive unbiased global and continental area estimates acros
 s all grassland classes\, based on an initial global sample of 50\,000 loc
 ations. The design incorporates stratification targeted at rare classes\, 
 systematic interpretation protocols\, and estimation procedures that expli
 citly propagate interpreter uncertainty into class-specific area estimates
  and confidence intervals. Additional temporal samples were drawn to quant
 ify grassland dynamics over the periods 2000–2010\, 2010–2015\, and 20
 15–2022.\nParticular emphasis was placed on securing sufficient samples 
 for improved and temporary grassland classes\, enabling statistically robu
 st estimates of their global extent and change. Together\, these results p
 rovide the first consistent quantification of the global distribution and 
 dynamics of grassland systems\, supporting applications in land-use modell
 ing\, biodiversity assessment\, carbon-cycle research\, and analyses of ma
 nagement intensity and human influence. They also contribute to ongoing di
 scussions around a potential global “pasture peak\,” for which emergin
 g evidence suggests a decline beginning around the year 2000.
DTSTAMP:20261023T012230Z
LOCATION:Room 18
SUMMARY:Has pasture already peaked in 2000? The first independent global st
 atistical assessment of grassland\, livestock association\, and change - S
 teffen Fritz
URL:https://pretalx.earthmonitor.org/global-workshop-2026/talk/8KQXNP/
END:VEVENT
END:VCALENDAR