TY - JOUR
T1 - Selection of Spatial-Temporal Lattice Models
T2 - Assessing the Impact of Climate Conditions on a Mountain Pine Beetle Outbreak
AU - Reyes, Perla E.
AU - Zhu, Jun
AU - Aukema, Brian H.
N1 - Copyright:
Copyright 2012 Elsevier B.V., All rights reserved.
PY - 2012/9
Y1 - 2012/9
N2 - Insects are among the most significant indicators of a changing climate. Here we evaluate the impact of temperature, precipitation, and elevation on the tree-killing ability of an eruptive species of bark beetle in pine forests of British Columbia, Canada. We consider a spatial-temporal linear regression model and in particular, a new statistical method that simultaneously performs model selection and parameter estimation. This approach is penalized maximum likelihood estimation under a spatial-temporal adaptive Lasso penalty, paired with a computationally efficient algorithm to obtain approximate penalized maximum likelihood estimates. A simulation study shows that finite-sample properties of these estimates are sound. In a case study, we apply this approach to identify the appropriate components of a general class of landscape models which features the factors that propagate an outbreak. We interpret the results from ecological perspectives and compare our method with alternative model selection procedures.
AB - Insects are among the most significant indicators of a changing climate. Here we evaluate the impact of temperature, precipitation, and elevation on the tree-killing ability of an eruptive species of bark beetle in pine forests of British Columbia, Canada. We consider a spatial-temporal linear regression model and in particular, a new statistical method that simultaneously performs model selection and parameter estimation. This approach is penalized maximum likelihood estimation under a spatial-temporal adaptive Lasso penalty, paired with a computationally efficient algorithm to obtain approximate penalized maximum likelihood estimates. A simulation study shows that finite-sample properties of these estimates are sound. In a case study, we apply this approach to identify the appropriate components of a general class of landscape models which features the factors that propagate an outbreak. We interpret the results from ecological perspectives and compare our method with alternative model selection procedures.
KW - Autoregressive models
KW - Bark beetle
KW - Lattice model
KW - Model selection
KW - Penalized maximum likelihood
KW - Spatial-temporal process
UR - http://www.scopus.com/inward/record.url?scp=84866737520&partnerID=8YFLogxK
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U2 - 10.1007/s13253-012-0103-0
DO - 10.1007/s13253-012-0103-0
M3 - Article
AN - SCOPUS:84866737520
SN - 1085-7117
VL - 17
SP - 508
EP - 525
JO - Journal of Agricultural, Biological, and Environmental Statistics
JF - Journal of Agricultural, Biological, and Environmental Statistics
IS - 3
ER -