气候变化领域集成服务门户(CCPortal): Nonlinear life table response experiment analysis: Decomposing nonlinear and nonadditive population growth responses to changes in environmental drivers

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DOI	10.1111/ele.14417
	Nonlinear life table response experiment analysis: Decomposing nonlinear and nonadditive population growth responses to changes in environmental drivers
	O'Connell, Ryan D.; Doak, Daniel F.; Horvitz, Carol C.; Pascarella, John B.; Morris, William F.
发表日期	2024
ISSN	1461-023X
EISSN	1461-0248
起始页码	27
结束页码	3
卷号	27 期号:3
英文摘要	Life table response experiments (LTREs) decompose differences in population growth rate between environments into separate contributions from each underlying demographic rate. However, most LTRE analyses make the unrealistic assumption that the relationships between demographic rates and environmental drivers are linear and independent, which may result in diminished accuracy when these assumptions are violated. We extend regression LTREs to incorporate nonlinear (second-order) terms and compare the accuracy of both approaches for three previously published demographic datasets. We show that the second-order approach equals or outperforms the linear approach for all three case studies, even when all of the underlying vital rate functions are linear. Nonlinear vital rate responses to driver changes contributed most to population growth rate responses, but life history changes also made substantial contributions. Our results suggest that moving from linear to second-order LTRE analyses could improve our understanding of population responses to changing environments. We extend a common tool for understanding population growth rate changes under different environmental conditions-the life table response experiment (LTRE)-to incorporate nonlinear and nonadditive relationships between growth rate and environmental drivers. Nearly all LTRE analyses rely on a linear approximation of population growth response to a changing driver and decompose this linear estimate of growth rate change into contributions from the individual underlying matrix elements or vital rates. We show that a second-order LTRE analysis outperforms the standard, linear approach under the majority of conditions across three demographic datasets and that the resulting second-order decomposition of growth rate changes helps to illuminate the underlying sources of nonlinearity and nonadditivity contributing to this improved accuracy.image
英文关键词	climate change; demography; environmental drivers; life history; life table response experiment; matrix population model; nonadditivity; nonlinearity; population structure; Taylor series approximation
语种	英语
WOS研究方向	Environmental Sciences & Ecology
WOS类目	Ecology
WOS记录号	WOS:001193136300001
来源期刊	ECOLOGY LETTERS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/301255
作者单位	Duke University; University of Colorado System; University of Colorado Boulder; University of Miami; Texas State University System; Sam Houston State University; Duke University
推荐引用方式 GB/T 7714	O'Connell, Ryan D.,Doak, Daniel F.,Horvitz, Carol C.,et al. Nonlinear life table response experiment analysis: Decomposing nonlinear and nonadditive population growth responses to changes in environmental drivers[J],2024,27(3).
APA	O'Connell, Ryan D.,Doak, Daniel F.,Horvitz, Carol C.,Pascarella, John B.,&Morris, William F..(2024).Nonlinear life table response experiment analysis: Decomposing nonlinear and nonadditive population growth responses to changes in environmental drivers.ECOLOGY LETTERS,27(3).
MLA	O'Connell, Ryan D.,et al."Nonlinear life table response experiment analysis: Decomposing nonlinear and nonadditive population growth responses to changes in environmental drivers".ECOLOGY LETTERS 27.3(2024).