气候变化领域集成服务门户(CCPortal): Comparing performance of contrasting distance-independent and distance-dependent competition metrics in predicting individual tree diameter increment and survival within structurally-heterogeneous, mixed-species forests of Northeastern United States

CCPortal

DOI	10.1016/j.foreco.2018.11.002
	Comparing performance of contrasting distance-independent and distance-dependent competition metrics in predicting individual tree diameter increment and survival within structurally-heterogeneous, mixed-species forests of Northeastern United States
	Kuehne C.; Weiskittel A.R.; Waskiewicz J.
发表日期	2019
ISSN	0378-1127
起始页码	205
结束页码	216
卷号	433
英文摘要	Most studies comparing the predictive performance of distance-independent and -dependent competition metrics have been conducted in even-aged, single species stands. In addition, past studies have generally not considered more sophisticated distance-dependent competition metrics such as open sky-view or light interception indices. Using data from fully stem mapped inventory plots (n = 260) established in structurally complex, mixed-species experimental forests (n = 5) in the Northeastern US, we evaluated prediction performance of one- and two-sided distance-dependent as well as more conventional distance-independent competition metrics in both annualized diameter increment (n = 1735) and probability of survival models (n = 1953) developed across 26 contrasting softwood and hardwood species. Prediction accuracy of non-spatial and spatial models was further assessed by classifying observations by species shade-tolerance, relative tree height, time since harvest, and tree clumping. Our analyses revealed no general superiority of distance-dependent competition metrics over their distance-independent counterparts for either diameter increment or survival, which was particularly true for the latter variable. Distance-dependent metrics tended to outperform distance-independent ones for observations from shade-tolerant species, trees of lower crown classes, and immediately after harvest. However, results on the comparative analysis of the predictive power of the different types of competition metrics under varying stand conditions and situations were often inconsistent and not always conclusive. In addition, model complexity, i.e. number of non-spatial explanatory variables in the base model, strongly affected the performance of distance-dependent competition metrics. Our findings thus appear to support the critical assumption that distance-independent competition metrics are sufficient for most operational growth and yield applications, even in managed, naturally-regenerated and species rich forests. © 2018 Elsevier B.V.
英文关键词	Growing space; Growth and yield; Light interception; Model complexity; Modeling; Non-spatial and spatial competition indices; Northeastern US
语种	英语
scopus关键词	Forecasting; Hardwoods; Models; Explanatory variables; Growth and yield; Light interception; Model complexity; Prediction performance; Predictive performance; Probability of survival; Spatial competition; Reforestation; comparative study; competition (ecology); complexity; diameter; growth rate; heterogeneity; interception; light effect; mixed forest; performance assessment; prediction; probability; shade tolerance; spatial analysis; survival; Competition; Diameter; Distance; Forecasts; Hardwoods; Models; Performance; Reforestation; United States
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/156285
作者单位	School of Forest Resources, University of Maine, 5755 Nutting Hall, Orono, ME 04469, United States; Paul Smith's College, Freer Science Building, Paul Smiths, NY 12970, United States
推荐引用方式 GB/T 7714	Kuehne C.,Weiskittel A.R.,Waskiewicz J.. Comparing performance of contrasting distance-independent and distance-dependent competition metrics in predicting individual tree diameter increment and survival within structurally-heterogeneous, mixed-species forests of Northeastern United States[J],2019,433.
APA	Kuehne C.,Weiskittel A.R.,&Waskiewicz J..(2019).Comparing performance of contrasting distance-independent and distance-dependent competition metrics in predicting individual tree diameter increment and survival within structurally-heterogeneous, mixed-species forests of Northeastern United States.Forest Ecology and Management,433.
MLA	Kuehne C.,et al."Comparing performance of contrasting distance-independent and distance-dependent competition metrics in predicting individual tree diameter increment and survival within structurally-heterogeneous, mixed-species forests of Northeastern United States".Forest Ecology and Management 433(2019).