气候变化领域集成服务门户(CCPortal): Species Abundance Modelling of Arctic-Boreal Zone Ducks Informed by Satellite Remote Sensing

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DOI	10.3390/rs16071175
	Species Abundance Modelling of Arctic-Boreal Zone Ducks Informed by Satellite Remote Sensing
	Merchant, Michael Allan; Battaglia, Michael J.; French, Nancy; Smith, Kevin; Singer, Howard V.; Armstrong, Llwellyn; Harriman, Vanessa B.; Slattery, Stuart
发表日期	2024
EISSN	2072-4292
起始页码	16
结束页码	7
卷号	16 期号:7
英文摘要	The Arctic-Boreal zone (ABZ) covers over 26 million km2 and is home to numerous duck species; however, understanding the spatiotemporal distribution of their populations across this vast landscape is challenging, in part due to extent and data scarcity. Species abundance models for ducks in the ABZ commonly use static (time invariant) habitat covariates to inform predictions, such as wetland type and extent maps. For the first time in this region, we developed species abundance models using high-resolution, time-varying wetland inundation data produced using satellite remote sensing methods. This data captured metrics of surface water extent and inundated vegetation in the Peace Athabasca Delta, Canada, which is within the NASA Arctic Boreal Vulnerability Experiment core domain. We used generalized additive mixed models to demonstrate the improved predictive value of this novel data set over time-invariant data. Our findings highlight both the potential complementarity and efficacy of dynamic wetland inundation information for improving estimation of duck abundance and distribution at high latitudes. Further, these data can be an asset to spatial targeting of biodiversity conservation efforts and developing model-based metrics of their success under rapidly changing climatic conditions.
英文关键词	arctic; boreal; Google Earth Engine; NASA AboVE; remote sensing; ducks; wetlands
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:001201110500001
来源期刊	REMOTE SENSING
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/294398
作者单位	Michigan Technological University
推荐引用方式 GB/T 7714	Merchant, Michael Allan,Battaglia, Michael J.,French, Nancy,et al. Species Abundance Modelling of Arctic-Boreal Zone Ducks Informed by Satellite Remote Sensing[J],2024,16(7).
APA	Merchant, Michael Allan.,Battaglia, Michael J..,French, Nancy.,Smith, Kevin.,Singer, Howard V..,...&Slattery, Stuart.(2024).Species Abundance Modelling of Arctic-Boreal Zone Ducks Informed by Satellite Remote Sensing.REMOTE SENSING,16(7).
MLA	Merchant, Michael Allan,et al."Species Abundance Modelling of Arctic-Boreal Zone Ducks Informed by Satellite Remote Sensing".REMOTE SENSING 16.7(2024).