气候变化领域集成服务门户(CCPortal): Landsat-based detection of mast events in white spruce (Picea glauca) forests

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DOI	10.1016/j.rse.2020.112278
	Landsat-based detection of mast events in white spruce (Picea glauca) forests
	Garcia M.; Zuckerberg B.; LaMontagne J.M.; Townsend P.A.
发表日期	2021
ISSN	00344257
卷号	254
英文摘要	Mast seeding in conifers is characterized by the spatially synchronous and temporally variable production of seed cone crops. Large mast seeding events (known as “mast years”) can be a visually stunning and ecologically important phenomenon, supporting trophic interactions and survival of seed predators as well as forest regeneration. Documenting patterns in mast seeding is generally labor-intensive, requiring repeated visual cone counts at consistent and widespread locations over long periods to quantify the spatiotemporal variability of cone production. Our goal in this work was to evaluate the correspondence of multispectral vegetation indexes (VIs) from Landsat with ground-based observations of mast seeding in white spruce (Picea glauca) forests of the Kluane region, Yukon, Canada. Given the visual characteristics of mast seeding in white spruce, we tested: 1) whether photosynthesis- and color-oriented VIs can identify senescence of spruce cones in late summer and autumn during mast years, and 2) if moisture-oriented VIs can distinguish the significant drying of seed cones from the surrounding spruce canopy vegetation during that senescence and after seeds are released. We hypothesized that the slope of late season decline in VIs in spruce forests would be related to masting (i.e., greater decline in VI during mast years). Using generalized linear mixed-effects modeling (GLMM), we compared more than 100 site-year combinations of mast/non-mast observations to develop VI-based regressions. We found some success identifying mast years with moisture-oriented VIs, while models using the photosynthesis- and color-oriented VIs were not supported, given the data. However, we found that models containing multiple VIs from both categories were more successful than any single-VI model, accurately predicting four of sixteen mast events in site observations. We provide compelling evidence that mast-seeding patterns may be detectable using moisture-oriented Landsat observations over large coniferous forest areas. Additional work is warranted to distinguish the signal for mast events from confounding disturbance-related effects and to differentiate variation in VI signals attributable to masting productivity in contrast to effects of climatological variability on reflectance. © 2020 Elsevier Inc.
英文关键词	Conifer reproduction; Kluane; Landsat; Mast seeding; Multispectral; Seed cone production; Vegetation indexes; White spruce (Picea glauca)
语种	英语
scopus关键词	Moisture; Photosynthesis; Vegetation; Coniferous forests; Forest regeneration; Generalized linear mixed-effects models; Ground-based observations; Site observation; Spatiotemporal variability; Trophic interactions; Variable production; Reforestation; canopy architecture; color; coniferous forest; Landsat; masting; photosynthesis; satellite imagery; seeding; senescence; survival; Canada; Kluane; Yukon Territory; Coniferophyta; Picea glauca
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/178980
作者单位	Department of Forest and Wildlife Ecology, University of Wisconsin–Madison, 1630 Linden Drive, Madison, WI 53706, United States; Department of Biological Sciences, DePaul University, 2325 North Clifton Avenue, Chicago, IL 60614, United States
推荐引用方式 GB/T 7714	Garcia M.,Zuckerberg B.,LaMontagne J.M.,et al. Landsat-based detection of mast events in white spruce (Picea glauca) forests[J],2021,254.
APA	Garcia M.,Zuckerberg B.,LaMontagne J.M.,&Townsend P.A..(2021).Landsat-based detection of mast events in white spruce (Picea glauca) forests.Remote Sensing of Environment,254.
MLA	Garcia M.,et al."Landsat-based detection of mast events in white spruce (Picea glauca) forests".Remote Sensing of Environment 254(2021).