气候变化领域集成服务门户(CCPortal): Iterative nearest neighbour age-height curve adjustment: Addressing the impact of spatial heterogeneity on longitudinal forestry provenance trial data

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DOI	10.1016/j.foreco.2024.121749
	Iterative nearest neighbour age-height curve adjustment: Addressing the impact of spatial heterogeneity on longitudinal forestry provenance trial data
	Peterson, Kate F.; Wang, Tongli
发表日期	2024
ISSN	0378-1127
EISSN	1872-7042
起始页码	557
卷号	557
英文摘要	Spatial heterogeneity in long term forestry genetics trials can obscure genetic variation and influence conclusions made based on the data. Nearest neighbour adjustment methods have been employed to account for spatial patterns, however such methods are limited in their applicability to longitudinal provenance trial data because of the need to account for repeated measures as well as the interest in preserving among-site variation. In this study, a novel approach combining nearest neighbour adjustment techniques with longitudinal data analysis concepts was developed to adjust lodgepole pine (Pinus contorta var. latifola Douglas) provenance trial data for spatial heterogeneity. Individual height-age logistic growth curves were fit to each tree to age 35, and the horizontal asymptote parameters of the height-age curves were adjusted for spatial patterns using iterative nearest neighbour adjustments. The methods developed in this study successfully removed positive spatial correlation and reduced the interaction between block and provenance, thus reducing changes in population ranking among blocks within sites. The adjustments applied caused large shifts in population ranks at many sites, indicating that seed selection decisions based on data not adjusted for spatial heterogeneity could lead to selecting non-optimal populations for a given site. This research provides a methodological framework for adjusting longitudinal genetics trial data for underlying site conditions and spatial patterns. Additionally, a spatially adjusted version of a large and extensively utilized provenance trial dataset was created for use in future analyses.
英文关键词	Spatial heterogeneity; Provenance data; Nearest neighbour adjustments; Lodgepole pine; Longitudinal data; Parameter prediction
语种	英语
WOS研究方向	Forestry
WOS类目	Forestry
WOS记录号	WOS:001188480900001
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/301521
作者单位	University of British Columbia
推荐引用方式 GB/T 7714	Peterson, Kate F.,Wang, Tongli. Iterative nearest neighbour age-height curve adjustment: Addressing the impact of spatial heterogeneity on longitudinal forestry provenance trial data[J],2024,557.
APA	Peterson, Kate F.,&Wang, Tongli.(2024).Iterative nearest neighbour age-height curve adjustment: Addressing the impact of spatial heterogeneity on longitudinal forestry provenance trial data.FOREST ECOLOGY AND MANAGEMENT,557.
MLA	Peterson, Kate F.,et al."Iterative nearest neighbour age-height curve adjustment: Addressing the impact of spatial heterogeneity on longitudinal forestry provenance trial data".FOREST ECOLOGY AND MANAGEMENT 557(2024).