BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//www.bayceer.uni-bayreuth.de//NONSGML kigkonsult.se iCalcreator 2.41.92//
CALSCALE:GREGORIAN
METHOD:PUBLISH
UID:63666231-3862-4439-a634-636332306130
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:20151025T010000Z
BEGIN:STANDARD
TZNAME:CET
DTSTART:20121028T030000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
RDATE:20131027T030000
RDATE:20141026T030000
END:STANDARD
BEGIN:DAYLIGHT
TZNAME:CEST
DTSTART:20130331T020000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
RDATE:20140330T020000
RDATE:20150329T020000
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:www.bayceer.uni-bayreuth.de-bayceer-t115102id
DTSTAMP:20260805T141458Z
DESCRIPTION:Disturbances are important drivers of ecosystem dynamics and ha
 ve a lasting impact on the structure\, composition\, and functioning of ec
 osystems. Mediated by changing climatic conditions and altered human land 
 use disturbance regimes are intensifying in many forest ecosystems\, a tre
 nd with detrimental effects on the provisioning of ecosystem goods and ser
 vices. In order to prevent such impacts and adapt ecosystem management to 
 intensifying disturbance regimes understanding their drivers and predictin
 g their possible trajectories is of paramount importance. In my talk I wil
 l review approaches of modeling forest disturbances\, and suggest a genera
 l framework of process-based disturbance modeling. I will furthermore give
  examples of both explanatory and predictive disturbance modeling\, focusi
 ng on disturbance from wind\, bark beetles\, and wildfire. In particular I
  will highlight the importance of considering multiple scales for understa
 nding drivers disturbance regimes\, and will elucidate on the role of dyna
 mic interactions in space and time (e.g.\, between disturbance agents\, be
 tween vegetation and disturbance dynamics) for predicting future trajector
 ies of disturbance regimes.
DTSTART;TZID=Europe/Berlin:20131017T000000
DTEND;TZID=Europe/Berlin:20131017T235959
SUMMARY:Dr. Rupert Seidl\, Institute of Silviculture\, University of Natura
 l Resources and Life Sciences (BOKU)\, Vienna (Homepage): Disturbance mode
 ling: Understanding and predicting forest disturbance dynamics
TRANSP:TRANSPARENT
END:VEVENT
END:VCALENDAR