干旱区生态环境知识资源中心(Arid): UAV thermal image detects genetic trait differences among populations and genotypes of Fremont cottonwood (Populus fremontii, Salicaceae)

Arid

DOI	10.1002/rse2.185
	UAV thermal image detects genetic trait differences among populations and genotypes of Fremont cottonwood (Populus fremontii, Salicaceae)
	Sankey, Temuulen; Hultine, Kevin; Blasini, Davis; Koepke, Dan; Bransky, Nathaniel; Grady, Kevin; Cooper, Hillary; Gehring, Catherine; Allan, Gerard
通讯作者	Sankey, T
来源期刊	REMOTE SENSING IN ECOLOGY AND CONSERVATION
EISSN	2056-3485
英文摘要	Many plants are becoming increasingly maladapted to their environments due to changing climate and environmental conditions. It is, therefore, important to quantitatively evaluate what species, populations, and genotypes will survive in projected climate change scenarios and the implications this can have for associated biodiversity. We evaluate unmanned aerial vehicle (UAV)-based high-resolution thermal images for differentiating populations and genotypes in Fremont cottonwood (Populus fremontii S. Wats.), a foundation tree species that supports high levels of biodiversity and associated processes in riparian ecosystems. Specifically, we compare UAV thermal image-derived tree canopy temperatures among 16 different populations and 10 replicated genotypes within two of the populations of Fremont cottonwood trees sourced from a broad environmental gradient and growing together in a common garden in central Arizona, USA. The UAV image-derived tree canopy temperatures ranged 30 degrees C-42 degrees C resulting in a high overall accuracy of 85% in tree canopy classification. Our results indicate that the UAV thermal image-derived mean tree canopy temperatures were significantly different among most of the 16 populations (P < 0.001). Within a warm-adapted Sonoran Desert population and a cooler High Plateau population, the UAV thermal image-derived tree canopy temperatures were also significantly different among many genotypes (P < 0.001). Furthermore, the UAV thermal image-derived tree canopy temperatures were significantly correlated with tree canopy cover (R-2 = 0.73; P-value < 0.001) and varied with locations across the garden. Our findings have important implications for characterizing intraspecific genetic diversity in long-lived forest trees like Fremont cottonwood and inferences for understanding ecosystem processes and guiding restoration efforts. We suggest that UAV thermal images can be used to rapidly scale laboratory- and plot-based genetics research up to the landscape level. Ecological restoration efforts informed by projected climate scenarios can benefit from the UAV-based genetics findings to identify future climate-adapted populations and genotypes for potential propagation sources.
英文关键词	Genetics high-throughput phenotyping intraspecific detection phenotyping tree canopy temperatures UAV thermal images
类型	Article ; Early Access
语种	英语
开放获取类型	DOAJ Gold
收录类别	SCI-E
WOS记录号	WOS:000590121100001
WOS关键词	UNMANNED AERIAL VEHICLES ; CLIMATE-CHANGE ; ASSISTED MIGRATION ; WATER INDEX ; LEAF ; ADAPTATION ; TREE ; REFLECTANCE ; SCALE ; COMMUNITIES
WOS类目	Ecology ; Remote Sensing
WOS研究方向	Environmental Sciences & Ecology ; Remote Sensing
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/328497
作者单位	[Sankey, Temuulen; Bransky, Nathaniel] No Arizona Univ, Sch Informat Comp & Cyber Syst, Flagstaff, AZ 86011 USA; [Hultine, Kevin; Blasini, Davis; Koepke, Dan] Desert Bot Garden, Dept Res Conservat & Collect, Phoenix, AZ 85008 USA; [Grady, Kevin] No Arizona Univ, Sch Forestry, Flagstaff, AZ 86011 USA; [Cooper, Hillary; Gehring, Catherine; Allan, Gerard] No Arizona Univ, Dept Biol Sci, Flagstaff, AZ 86011 USA; [Cooper, Hillary; Gehring, Catherine; Allan, Gerard] No Arizona Univ, Merriam Powell Ctr Environm Res, Flagstaff, AZ 86011 USA
推荐引用方式 GB/T 7714	Sankey, Temuulen,Hultine, Kevin,Blasini, Davis,et al. UAV thermal image detects genetic trait differences among populations and genotypes of Fremont cottonwood (Populus fremontii, Salicaceae)[J].
APA	Sankey, Temuulen.,Hultine, Kevin.,Blasini, Davis.,Koepke, Dan.,Bransky, Nathaniel.,...&Allan, Gerard.
MLA	Sankey, Temuulen,et al."UAV thermal image detects genetic trait differences among populations and genotypes of Fremont cottonwood (Populus fremontii, Salicaceae)".REMOTE SENSING IN ECOLOGY AND CONSERVATION