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UID:calendar.18695.field_date_time.0@www.umces.edu
DTSTAMP:20260408T000932Z
CREATED:20200115T184919Z
DESCRIPTION:March 4\, 2020 3:30pm    \n    \n      \n\n\n    \n\n          
     \nChesapeake Biological Laboratory\n      \n\n\n\n\n  \n\n    \n\n    
           \n\n\n              Title: Spatial ecological analysis of Jeffre
 y pine beetle outbreak dynamics within the Lake Tahoe Basin\n          \n 
  \n\n    \n\n              \n\n\nAbstract: From 1991 to 1996\, Jeffrey pin
 e beetles (Dendroctonus jeffreyi Hopkins) (JPB) caused tree mortality thro
 ughout the Lake Tahoe Basin during a severe drought. Census data were coll
 ected annually on 10\,721 trees to assess patterns of JPB-caused mortality
 . This represents the most extensive tree-level\, spatiotemporal dataset c
 ollected to-date documenting bark beetle activity. In the epidemic phase\,
  JPB activity occurred in all topographic positions and caused mortality i
 n spatially expanding clusters\, with majority (92–96 %) of mass-attacked 
 trees were within 30 m of a brood (JPB-attacked) tree. Our main goals were
 : 1) the assessment of characteristics associated with the probability of 
 successful JPB mass-attack and group aggregation behavior that occurred du
 ring epidemic outbreak\; and 2) the one-year horizon predictive modeling o
 f the JPB outbreak expansion. To address these goals\, we employed the com
 bination of tree- and cluster- based spatial analyses. In particular\, for
  the tree-based analysis\, we used 1993 epidemic stage data to identify th
 e best subset of forest characteristics variables in JPB-attack logistic r
 egression model and examined the effects of spatial adjustment.  We furthe
 r validated the proposed model one-year predictive accuracy on the followi
 ng 1994 epidemic stage data. For the cluster- based analysis\, we introduc
 ed a novel functional representation approach to describe the complex shap
 e and characteristics of spatial clusters. By expressing the complex clust
 er regions as functions of the direction from the cluster center\, we deve
 lop a method for modeling the association between the shape and size of cl
 usters and various cluster attributes. This approach allows to use functio
 nal data modeling to quantify the directions of beetle expansion in our pr
 oblem\; similar tools can be used to quantify the directions of microbial 
 concentrations using image density analysis. While results are applied to 
 the forest ecological problem\, methodological approaches are rather gener
 al and appear in multiple environmental\, imaging and other application ar
 eas.
DTSTART;TZID=America/New_York:20200304T153000
DTEND;TZID=America/New_York:20200304T153000
LAST-MODIFIED:20200302T131911Z
SUMMARY:CBL Seminar: Ekaterina Smirnova (VCU)
URL;TYPE=URI:https://www.umces.edu/events/cbl-seminar-ekaterina-smirnova-vc
 u
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