气候变化领域集成服务门户(CCPortal): Remotely-sensed phenoclusters of Wisconsin ' s forests, shrublands, and grasslands for biodiversity applications

CCPortal

DOI	10.1016/j.foreco.2024.121878
	Remotely-sensed phenoclusters of Wisconsin ' s forests, shrublands, and grasslands for biodiversity applications
	Silveira, E. M. O.; Pidgeon, A. M.; Persche, M.; Radeloff, V. C.
发表日期	2024
ISSN	0378-1127
EISSN	1872-7042
起始页码	561
卷号	561
英文摘要	Heterogeneous vegetation supports higher species richness than homogenous vegetation, which is why efficiently identifying heterogenous vegetation can be useful for biodiversity conservation. Satellite remote-sensing data provide an opportunity to generate vegetation heterogeneity metrics and to explore the phenology of vegetation patterns. Phenoclusters are vegetation types with similar phenological characteristics, and valuable for capturing vegetation habitat heterogeneity patterns. Our goal was to map phenoclusters for Wisconsin, USA, at 10-m spatial resolution based on land surface phenology metrics from EVI (Enhanced Vegetation Index) Sentinel-2 data. We characterized each phenocluster based on landcover composition and structure, phenology timing, and environmental factors, and compared them to bird species richness. We also calculated the diversity of phenoclusters at multiple spatial extents. We identified 14 phenoclusters in Wisconsin, each with distinct landcover composition and structure, and unique phenological characteristics. Our remotely-sensed phenoclusters effectively captured environmental gradients, with elevation and temperature emerging as the most important driving variables. Furthermore, the phenoclusters successfully captured bird biodiversity patterns, especially richness of forest and grassland specialist. Our results identified phenological patterns among Wisconsin 's forests, shrublands, and grasslands, capturing phenological timing both among and within the same tree species. Phenoclusters are a valuable tool for capturing vegetation habitat heterogeneity, phenology diversity and biodiversity patterns, as well as climate change effects.
英文关键词	Biodiversity; EVI; Heterogeneity; Phenology; Sentinel-2
语种	英语
WOS研究方向	Forestry
WOS类目	Forestry
WOS记录号	WOS:001218693500001
来源期刊	FOREST ECOLOGY AND MANAGEMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/297426
作者单位	University of Wisconsin System; University of Wisconsin Madison
推荐引用方式 GB/T 7714	Silveira, E. M. O.,Pidgeon, A. M.,Persche, M.,et al. Remotely-sensed phenoclusters of Wisconsin ' s forests, shrublands, and grasslands for biodiversity applications[J],2024,561.
APA	Silveira, E. M. O.,Pidgeon, A. M.,Persche, M.,&Radeloff, V. C..(2024).Remotely-sensed phenoclusters of Wisconsin ' s forests, shrublands, and grasslands for biodiversity applications.FOREST ECOLOGY AND MANAGEMENT,561.
MLA	Silveira, E. M. O.,et al."Remotely-sensed phenoclusters of Wisconsin ' s forests, shrublands, and grasslands for biodiversity applications".FOREST ECOLOGY AND MANAGEMENT 561(2024).