气候变化领域集成服务门户(CCPortal): Spatio-temporal integrated Bayesian species distribution models reveal lack of broad relationships between traits and range shifts

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DOI	10.1111/geb.13819
	Spatio-temporal integrated Bayesian species distribution models reveal lack of broad relationships between traits and range shifts
	Wiethase, Joris H.; Mostert, Philip S.; Cooney, Christopher R.; O'Hara, Robert B.; Beale, Colin M.
发表日期	2024
ISSN	1466-822X
EISSN	1466-8238
起始页码	33
结束页码	5
卷号	33 期号:5
英文摘要	AimClimate change and habitat loss or degradation are some of the greatest threats that species face today, often resulting in range shifts. Species traits have been discussed as important predictors of range shifts, with the identification of general trends being of great interest to conservation efforts. However, studies reviewing relationships between traits and range shifts have questioned the existence of such generalized trends, due to mixed results and weak correlations, as well as analytical shortcomings. The aim of this study was to test this relationship empirically, using analytical approaches that account for common sources of bias when assessing range trends.LocationTanzania, East Africa.Time period1980-1999 and 2000-2020.Major taxa studied57 savannah specialist birds found in Tanzania, belonging to 26 families and 11 orders.MethodsWe applied recently developed integrated spatio-temporal species distribution models in R-INLA, combining citizen science and bird Atlas data to estimate ranges of species, quantify range shifts, and test the predictive power of traditional trait groups, as well as exposure-related and sensitivity traits. We based our study on 40 years of bird observations in East African savannahs, a biome that has experienced increasing climatic and non-climatic pressures over recent decades. We correlated patterns of change with species traits using linear regression models.ResultsWe find indications of relationships identified by previous research, but low average explanatory power of traits from an ecological perspective, confirming the lack of meaningful general associations. However, our analysis finds compelling species-specific results.Main conclusionsWe highlight the importance of individual assessments while demonstrating the usefulness of our analytical approach for analyses of range shifts.
英文关键词	climate change; data integration models; eBird; range shifts; savannahs; species distribution models; species traits
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Physical Geography
WOS类目	Ecology ; Geography, Physical
WOS记录号	WOS:001172952500001
来源期刊	GLOBAL ECOLOGY AND BIOGEOGRAPHY
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/289155
作者单位	University of York - UK; Norwegian University of Science & Technology (NTNU); University of Sheffield; University of York - UK; University of York - UK
推荐引用方式 GB/T 7714	Wiethase, Joris H.,Mostert, Philip S.,Cooney, Christopher R.,et al. Spatio-temporal integrated Bayesian species distribution models reveal lack of broad relationships between traits and range shifts[J],2024,33(5).
APA	Wiethase, Joris H.,Mostert, Philip S.,Cooney, Christopher R.,O'Hara, Robert B.,&Beale, Colin M..(2024).Spatio-temporal integrated Bayesian species distribution models reveal lack of broad relationships between traits and range shifts.GLOBAL ECOLOGY AND BIOGEOGRAPHY,33(5).
MLA	Wiethase, Joris H.,et al."Spatio-temporal integrated Bayesian species distribution models reveal lack of broad relationships between traits and range shifts".GLOBAL ECOLOGY AND BIOGEOGRAPHY 33.5(2024).