BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//www.bayceer.uni-bayreuth.de//NONSGML kigkonsult.se iCalcreator 2.41.92//
CALSCALE:GREGORIAN
METHOD:PUBLISH
UID:66633865-3236-4861-a139-636564636437
X-WR-CALNAME:BayCMS-Export
X-WR-CALDESC:This is a calendar exported from BayCMS
X-WR-TIMEZONE:Europe/Berlin
BEGIN:VTIMEZONE
TZID:Europe/Berlin
TZUNTIL:20041031T010000Z
BEGIN:STANDARD
TZNAME:CET
DTSTART:20021027T030000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
RDATE:20031026T030000
END:STANDARD
BEGIN:DAYLIGHT
TZNAME:CEST
DTSTART:20020331T020000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
RDATE:20030330T020000
RDATE:20040328T020000
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:www.bayceer.uni-bayreuth.de-bayceer-t53251id
DTSTAMP:20261007T124558Z
DESCRIPTION:Changes in the global environment are modifying the geographica
 l  Locations of habitats suitable for plant growth.  The ability of plants
  to migrate to sites of suitable environmental quality will strongly influ
 ence future distributions of plant diversity. The importance of migration 
 for future diversity has stimulated a revival in migration research.  Rece
 nt empirical and theoretical work has shown that long distance dispersal (
 LDD) is  the key processes that drives migration rates.  However\, LDD has
  turned out to be both theoretically and empirically challenging to study.
   Theoretically LDD has been tricky to deal with because the classic model
 s of plant migration treated dispersal as a diffusion process\, whereas in
  reality seed dispersal is poorly approximated as a diffusion process.  Em
 pirically LDD is difficult to describe because LDD events are so infrequen
 t and large in scale that they are rarely observed.  Recently there have b
 een some useful advances in both migration models and empirical techniques
  for describing LDD.  While these new developments have significantly impr
 oved our understanding of LDD they have also revealed that even if we have
   perfect information on LDD\, that the forecasts of migration rates will 
 often be uncertain.  This inherent uncertainty is caused be the overwhelmi
 ng influence the stochastic nature of LDD.
DTSTART;TZID=Europe/Berlin:20021107T161500
DTEND;TZID=Europe/Berlin:20021107T235959
LOCATION:H6
SUMMARY:Dr. Steve Higgins\, UFZ-Centre of Environmental Research\, Leipzig:
  Long Distance Dispersal and the rapid Migration of Plant Populations
TRANSP:TRANSPARENT
END:VEVENT
END:VCALENDAR
