气候变化领域集成服务门户(CCPortal): Mapping functional diversity using individual tree-based morphological and physiological traits in a subtropical forest

CCPortal

DOI	10.1016/j.rse.2020.112170
	Mapping functional diversity using individual tree-based morphological and physiological traits in a subtropical forest
	Zheng Z.; Zeng Y.; Schneider F.D.; Zhao Y.; Zhao D.; Schmid B.; Schaepman M.E.; Morsdorf F.
发表日期	2021
ISSN	00344257
卷号	252
英文摘要	Functional diversity (FD) provides a link between biodiversity and ecosystem functioning, summarizing inter- and intra-specific variation of functional traits. However, quantifying plant traits and FD consistently and cost-effectively across large and heterogeneous forest areas is challenging with traditional field sampling. Airborne light detection and ranging (LiDAR) and imaging spectroscopy provide spatially explicit data, which allow mapping of selected forest traits and FD at different spatial scales. We develop an individual tree-based method to measure forest FD from tree neighborhoods to whole forests, and demonstrate the approach by mapping functional traits of over one million trees in a subtropical forest in China. We retrieved canopy morphological traits (95th quantile height, leaf area index and foliage height diversity) and physiological traits (proxies of nitrogen, carotenoids and specific leaf area) for each individual canopy tree crown from LiDAR and imaging spectroscopy data, respectively. Based on the multivariate trait space spanned by the six trait axes and filled by measured tree individuals, we mapped forest FD as richness, divergence and evenness, and explored spatial patterns of FD as well as FD–area and FD–tree number relationships. The results show that LiDAR-derived morphological traits and spectral indices of physiological traits are consistent with field measurements and show weak correlations between each other at individual tree level. Morphological functional richness follows a hump-shaped pattern along the elevational gradient of 984–1805 m, with maximum values at elevations around 1450 m, while high physiological functional richness occurs at medium and high elevations. At an ecosystem scale of 30 × 30 m, morphological richness increases continuously with tree density, but physiological richness decreases again at very high densities. Moreover, functional richness shows a logarithmic relationship with increasing area or number of individual trees, and local trait convergence is predominant in our study area. We demonstrate the ability to quantify FD using morphological and physiological traits by remote sensing, which provides a pathway to conduct individual-level trait-based ecology with wall-to-wall data. © 2020 The Authors
英文关键词	Forest diversity; Functional traits; Imaging spectroscopy; Individual tree-based approach; LiDAR; Scaling
语种	英语
scopus关键词	Biodiversity; Ecosystems; Finite difference method; Forestry; Optical radar; Physiology; Remote sensing; Tropics; Ecosystem functioning; Elevational gradients; Functional diversity; Imaging spectroscopy; Light detection and ranging; Logarithmic relationship; Morphological traits; Physiological trait; Mapping; biodiversity; divergence; foliage; leaf area index; lidar; morphology; physiological response; species evenness; species richness; subtropical region; China
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/179057
作者单位	Remote Sensing Laboratories, Department of Geography, University of Zurich, Zurich, CH-8057, Switzerland; State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100101, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, United States; State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
推荐引用方式 GB/T 7714	Zheng Z.,Zeng Y.,Schneider F.D.,et al. Mapping functional diversity using individual tree-based morphological and physiological traits in a subtropical forest[J],2021,252.
APA	Zheng Z..,Zeng Y..,Schneider F.D..,Zhao Y..,Zhao D..,...&Morsdorf F..(2021).Mapping functional diversity using individual tree-based morphological and physiological traits in a subtropical forest.Remote Sensing of Environment,252.
MLA	Zheng Z.,et al."Mapping functional diversity using individual tree-based morphological and physiological traits in a subtropical forest".Remote Sensing of Environment 252(2021).