气候变化领域集成服务门户(CCPortal): Using multi-scale spatial models of dendritic ecosystems to infer abundance of a stream salmonid

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DOI	10.1111/1365-2664.14665
	Using multi-scale spatial models of dendritic ecosystems to infer abundance of a stream salmonid
	Lu, Xinyi; Kanno, Yoichiro; Valentine, George P.; Rash, Jacob M.; Hooten, Mevin B.
发表日期	2024
ISSN	0021-8901
EISSN	1365-2664
英文摘要	Understanding patterns of species abundance is essential for planning landscape-level conservation. The complex hierarchies of dendritic ecosystems result in different levels of heterogeneity at distinct geographic scales. Species responses to dynamic environmental drivers may also vary spatially depending on their interactions with landscape features. Monitoring abundance by explicitly quantifying their spatial and temporal variation is important for strategic management. We analysed brook trout (Salvelinus fontinalis) count data collected from 173 sites in western North Carolina between 1989 and 2015. We developed a Bayesian hierarchical model that used single- and multi-pass electro-fishing data and characterized their respective capture probabilities. We quantified spatial variation using a multi-scale process model representative of the nested stream habitats, and we investigated differences in population temporal trends and responses to seasonal weather patterns by space and life stage. Trout abundance was lower on the Atlantic slope of the Eastern Continental Divide than in the interior, on average, and the Atlantic slope juveniles were more adversely affected by high winter flows. However, Atlantic slope populations of both lifestages demonstrated positive temporal trends, whereas Interior juveniles demonstrated a negative trend. We found higher spatial variation than temporal variation in abundance when conditioned on the covariates, where the primary source of spatial heterogeneity was revealed at the segment level, compared to watershed or network levels. Our multi-scale spatial model outperformed simpler models in abundance estimation and out-of-sample prediction. The inferred per-pass capture probabilities indicated that single-pass surveys were as efficient as multi-pass surveys. Synthesis and applications. Our study suggested conservation priority should involve multiple criteria, including present-day abundance, temporal trend and sensitivity to environmental drivers. Based on the inferred scale-specific variations in trout abundance, we recommend that future surveys strategically combine single-pass surveys with multi-pass surveys to optimize abundance estimation. Our approach is widely applicable to other species and ecosystems occupying dendritic habitats. Our study suggested conservation priority should involve multiple criteria, including present-day abundance, temporal trend and sensitivity to environmental drivers. Based on the inferred scale-specific variations in trout abundance, we recommend that future surveys strategically combine single-pass surveys with multi-pass surveys to optimize abundance estimation. Our approach is widely applicable to other species and ecosystems occupying dendritic habitats.image
英文关键词	Bayesian; brook trout; climate change; data fusion; depletion sampling; network; N-mixture
语种	英语
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
WOS类目	Biodiversity Conservation ; Ecology
WOS记录号	WOS:001215249600001
来源期刊	JOURNAL OF APPLIED ECOLOGY
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/305944
作者单位	Utah System of Higher Education; Utah State University; Colorado State University; Colorado State University; University of Texas System; University of Texas Austin
推荐引用方式 GB/T 7714	Lu, Xinyi,Kanno, Yoichiro,Valentine, George P.,et al. Using multi-scale spatial models of dendritic ecosystems to infer abundance of a stream salmonid[J],2024.
APA	Lu, Xinyi,Kanno, Yoichiro,Valentine, George P.,Rash, Jacob M.,&Hooten, Mevin B..(2024).Using multi-scale spatial models of dendritic ecosystems to infer abundance of a stream salmonid.JOURNAL OF APPLIED ECOLOGY.
MLA	Lu, Xinyi,et al."Using multi-scale spatial models of dendritic ecosystems to infer abundance of a stream salmonid".JOURNAL OF APPLIED ECOLOGY (2024).