干旱区生态环境知识资源中心(Arid): Assessing the spatial and temporal organization of Red Kangaroo, Western Grey Kangaroo and Eastern Grey Kangaroo populations in eastern Australia using multivariate autoregressive state-space models

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DOI	10.1111/emr.12488
	Assessing the spatial and temporal organization of Red Kangaroo, Western Grey Kangaroo and Eastern Grey Kangaroo populations in eastern Australia using multivariate autoregressive state-space models
	McLeod, Steven R.; Finch, Neal; Wallace, Glenn; Pople, Anthony R.
通讯作者	McLeod, SR (corresponding author), NSW Dept Primary Ind, Vertebrate Pest Res Unit, Invas Species Biosecur, 815 Tocal Rd, Paterson, NSW 2421, Australia.
来源期刊	ECOLOGICAL MANAGEMENT & RESTORATION
ISSN	1442-7001
EISSN	1442-8903
出版年	2021
卷号	22 页码:106-123
英文摘要	To identify patterns in the temporal dynamics and spatial organization of kangaroo subpopulations that are commercially harvested, we fitted multivariate autoregressive state-space (MARSS) models to time series of kangaroo abundance from the main harvest zones of eastern Australia (1990-2019 for New South Wales and 1984-2019 for Queensland). We found that the responses of most populations to process variation, that is variation due to environmental or demographic stochasticity were correlated and that populations responded synchronously to environmental changes. Furthermore, we examined the influence of the covariates lagged rainfall, Southern Oscillation Index (SOI) and harvest rate on kangaroo abundance. We found that lagged rainfall had a positive influence, SOI and harvest rate had negative influences but the influence of covariates was not consistent across species or between subpopulations. In terms of population spatial structure, the analysis identified two subpopulations of Red Kangaroo (Osphranter rufus) in New South Wales and four subpopulations of grey kangaroos (a combination of Eastern Grey Kangaroo (Macropus giganteus) and Western Grey Kangaroo (Macropus fuliginosus)), which appeared to be associated with a rainfall gradient from east-west. In Queensland, separate subpopulations were identified in each of the three main harvest management zones for both Red Kangaroo and Eastern Grey Kangaroo. The implications of these results for the management of commercially harvested kangaroos are discussed.
英文关键词	aerial survey arid zone density dependence harvest time-series
类型	Article
语种	英语
开放获取类型	Bronze
收录类别	SCI-E
WOS记录号	WOS:000713767700018
WOS关键词	NEW-SOUTH-WALES ; DENSITY-DEPENDENCE ; MACROPUS RUFUS ; DYNAMICS ; TRENDS ; HERBIVORES ; NUMBERS ; SHEEP
WOS类目	Ecology
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/367808
作者单位	[McLeod, Steven R.] NSW Dept Primary Ind, Vertebrate Pest Res Unit, Invas Species Biosecur, 815 Tocal Rd, Paterson, NSW 2421, Australia; [Finch, Neal] Queensland Pk & Wildlife Serv & Partnerships, Dept Environm & Sci, 146 Herries St, Toowoomba, Qld 4350, Australia; [Wallace, Glenn] Queensland Pk & Wildlife Serv & Partnerships, Dept Environm & Sci, POB 689, Charleville, Qld 4470, Australia; [Pople, Anthony R.] Biosecur Queensland, Dept Agr & Fisheries, Invas Plants & Anim Res, 41 Boggo Rd, Dutton Pk, Qld 4102, Australia
推荐引用方式 GB/T 7714	McLeod, Steven R.,Finch, Neal,Wallace, Glenn,et al. Assessing the spatial and temporal organization of Red Kangaroo, Western Grey Kangaroo and Eastern Grey Kangaroo populations in eastern Australia using multivariate autoregressive state-space models[J],2021,22:106-123.
APA	McLeod, Steven R.,Finch, Neal,Wallace, Glenn,&Pople, Anthony R..(2021).Assessing the spatial and temporal organization of Red Kangaroo, Western Grey Kangaroo and Eastern Grey Kangaroo populations in eastern Australia using multivariate autoregressive state-space models.ECOLOGICAL MANAGEMENT & RESTORATION,22,106-123.
MLA	McLeod, Steven R.,et al."Assessing the spatial and temporal organization of Red Kangaroo, Western Grey Kangaroo and Eastern Grey Kangaroo populations in eastern Australia using multivariate autoregressive state-space models".ECOLOGICAL MANAGEMENT & RESTORATION 22(2021):106-123.