IB-CAS  > 植被与环境变化国家重点实验室
Hyperspectral retrieval of leaf physiological traits and their links to ecosystem productivity in grassland monocultures
Zhao, Yujin; Sun, Yihan1; Lu, Xiaoming; Zhao, Xuezhen1; Yang, Long2; Sun, Zhongyu2; Bai, Yongfei1
2021
发表期刊ECOLOGICAL INDICATORS
ISSN1470-160X
卷号122
摘要Plant functional traits are closely associated with key ecological processes and ecosystem functions. Recent studies have demonstrated that plant functional traits, especially physiological traits, can be successfully derived from hyperspectral images. Plant physiological traits are frequently quantified either as area-based content [mu g cm(-2)] or mass-based concentration [mg g(-1) or %]. However, it remains unclear whether the two metrics of traits can be quantified using remote sensing approaches. We quantified area- and mass-based foliar physiological traits to compare the prediction accuracy of the two metrics based on leaf spectra using partial least squares regression (PLSR) at a grassland monoculture experiment. These two metrics were then scaled up to canopy traits, respectively, based on leaf area index (LAI) and biomass to test their performance at the canopy level. The canopy physiological traits with high prediction accuracy (R-2 = 0.60) were selected for mapping using the unmanned aerial vehicle (UAV)-based UHD185 spectrometer. Biomass and LAI were also estimated and mapped using the PLSR method. The mapped leaf traits (canopy traits divided by the corresponding LAI), were used to explore the relationships between the interspecific and intraspecific variations in leaf physiological traits and ecosystem productivity (i.e., aboveground biomass). The results showed that the retrieval of leaf physiological traits using leaf spectra and canopy spectra or remote sensing was better performed on an area basis rather than a mass basis, especially for the physiological traits related to photosynthesis. Model selection results also indicted that remotely sensed physiological traits (chlorophyll a, chlorophyll b, carotenoid, carbon, nitrogen, and leaf mass per area (LMA)) and their intraspecific variations (coefficient variation (CV) for a single trait and functional richness (FRic) for multiple traits) were significant predictors of community aboveground biomass across grassland monocultures. Our study highlights the potential of hyperspectral images for trait mapping and estimating ecosystem productivity at large scales. Our findings also provide a vital insight for disentangling the links of functional traits and intra- and interspecific trait variations to key ecological processes and functions.
关键词Functional trait Partial least squares regression (PLSR) Hyperspectral image Ecosystem function Unmanned aerial vehicle (UAV) Aboveground biomass
学科领域Biodiversity Conservation ; Environmental Sciences
DOI10.1016/j.ecolind.2020.107267
收录类别SCI
语种英语
WOS关键词FUNCTIONAL DIVERSITY ; INNER-MONGOLIA ; IMAGING SPECTROSCOPY ; CHLOROPHYLL CONTENT ; OPTICAL-PROPERTIES ; PLANT TRAITS ; AREA INDEX ; NITROGEN ; VEGETATION ; IMAGERY
WOS研究方向Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号WOS:000613238900003
出版者ELSEVIER
文献子类Article
出版地AMSTERDAM
EISSN1872-7034
资助机构National Key R&D Program of China [2017YFA0604702] ; National Natural Science Foundation of China [41801230, 31630010]
作者邮箱yfbai@ibcas.ac.cn
作品OA属性gold
引用统计
被引频次:15[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ibcas.ac.cn/handle/2S10CLM1/26716
专题植被与环境变化国家重点实验室
作者单位1.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, 20 Nanxincun, Beijing 100093, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
3.Guangzhou Inst Geog, Guangdong Open Lab Geospatial Informat Technol &, Guangzhou 510070, Peoples R China
推荐引用方式
GB/T 7714
Zhao, Yujin,Sun, Yihan,Lu, Xiaoming,et al. Hyperspectral retrieval of leaf physiological traits and their links to ecosystem productivity in grassland monocultures[J]. ECOLOGICAL INDICATORS,2021,122.
APA Zhao, Yujin.,Sun, Yihan.,Lu, Xiaoming.,Zhao, Xuezhen.,Yang, Long.,...&Bai, Yongfei.(2021).Hyperspectral retrieval of leaf physiological traits and their links to ecosystem productivity in grassland monocultures.ECOLOGICAL INDICATORS,122.
MLA Zhao, Yujin,et al."Hyperspectral retrieval of leaf physiological traits and their links to ecosystem productivity in grassland monocultures".ECOLOGICAL INDICATORS 122(2021).
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Hyperspectral_retrie(9433KB)期刊论文出版稿开放获取CC BY-NC-SA浏览 请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Zhao, Yujin]的文章
[Sun, Yihan]的文章
[Lu, Xiaoming]的文章
百度学术
百度学术中相似的文章
[Zhao, Yujin]的文章
[Sun, Yihan]的文章
[Lu, Xiaoming]的文章
必应学术
必应学术中相似的文章
[Zhao, Yujin]的文章
[Sun, Yihan]的文章
[Lu, Xiaoming]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Hyperspectral_retrieval_of_leaf_physiological_.pdf
格式: Adobe PDF
此文件暂不支持浏览
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。