Journal article
Overcoming data sparseness and parametric constraints in modeling of tree mortality: a new nonparametric Bayesian model
- Abstract:
-
Accurately describing patterns of tree mortality is central to understanding forest dynamics and is important for both management and ecological inference. However, for many tree species, annual survival of most individuals is high, so that mortality is rare and, therefore, difficult to estimate. Furthermore, tree mortality models have potentially complex suites of covariates. Here, we extend traditional and recent approaches to modeling tree mortality and propose a new non-parametric Bayesia...
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- Publication status:
- Published
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- Publisher copy:
- 10.1139/X09-083
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Authors
Bibliographic Details
- Journal:
- CANADIAN JOURNAL OF FOREST RESEARCH-REVUE CANADIENNE DE RECHERCHE FORESTIERE
- Volume:
- 39
- Issue:
- 9
- Pages:
- 1677-1687
- Publication date:
- 2009-09-01
- DOI:
- EISSN:
-
1208-6037
- ISSN:
-
0045-5067
- Source identifiers:
-
314538
Item Description
- Language:
- English
- Pubs id:
-
pubs:314538
- UUID:
-
uuid:a5c1fb35-e34c-4949-a6ad-71d8bc0a9a93
- Local pid:
- pubs:314538
- Deposit date:
- 2013-11-16
Terms of use
- Copyright date:
- 2009
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