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DOI	10.1016/j.foreco.2020.118369
	On studying the patterns of individual-based tree mortality in natural forests: A modelling analysis
	Salas-Eljatib C.; Weiskittel A.R.
发表日期	2020
ISSN	0378-1127
卷号	475
英文摘要	Tree mortality is a critical ecological phenomenon shaping forest ecosystem dynamics, structure, and composition, while its effects are of global relevance due to its relationship with forest conditions and environmental changes. There are several challenges associated with individual-based mortality data, particularly observations with uneven measurement intervals. Here, we develop and examine several common individual-based mortality modelling strategies that simultaneously account for unequal measurement lengths and the hierarchical structure of the data in long-term, permanent plot data from the mixed Nothofagus forests in south-central Chile. These strategies depend on: (a) the functional model form (logit and Gompit), (b) the period length adjustment method (annualized, covariate, and exposure), and (c) the data structure used (traditional or all multiple combinations of the time series). Our findings indicated that the Gompit functional form outperformed the commonly used logit link function. Furthermore, considering the period length as exposure in a generalized linear mixed-effects model offered better goodness-of-fit than the other examined period length adjustments. Using all the possible combinations of the dynamic data did not improve the prediction capabilities of the model variants, but important differences were found in the statistical inferences of the fitted models. Our results highlighted that understanding tree mortality strongly relies on using a suitable modelling strategy that is capable of both capturing and assigning the sources of variation to the corresponding variables, which was best accomplished using a multi-level, binary, and Gompit-exposure modelling framework in this analysis. © 2020 Elsevier B.V.
英文关键词	Competition; Forest dynamics; Gompit; Logistic regression; Logit; Multi-level, mixed-effects model; Nothofagus; Survival; Temperate forest
语种	英语
scopus关键词	Binary trees; Ecosystems; Environmental change; Forest ecosystem dynamics; Generalized linear mixed-effects models; Hierarchical structures; Measurement interval; Modelling strategies; Prediction capability; Statistical inference; Forestry; coniferous forest; ecological modeling; environmental change; forest ecosystem; mortality; tree; Data; Ecosystems; Exposure; Forestry; Length; Mortality; Shape; Trees; Chile; Nothofagus
来源期刊	Forest Ecology and Management
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/155034
作者单位	Centro de Modelación y Monitoreo de Ecosistemas, Facultad de Ciencias, Escuela de Ingeniería Forestal, Universidad Mayor, Santiago, Chile; Laboratorio de Biometría, Vicerrectoría de Investigación y Postgrado, Universidad de La Frontera, Temuco, Chile; Center for Research on Sustainable Forests, University of Maine, Orono, ME 04469-5755, United States
推荐引用方式 GB/T 7714	Salas-Eljatib C.,Weiskittel A.R.. On studying the patterns of individual-based tree mortality in natural forests: A modelling analysis[J],2020,475.
APA	Salas-Eljatib C.,&Weiskittel A.R..(2020).On studying the patterns of individual-based tree mortality in natural forests: A modelling analysis.Forest Ecology and Management,475.
MLA	Salas-Eljatib C.,et al."On studying the patterns of individual-based tree mortality in natural forests: A modelling analysis".Forest Ecology and Management 475(2020).