气候变化领域集成服务门户(CCPortal): Thermal remote sensing of plant water stress in natural ecosystems

CCPortal

DOI	10.1016/j.foreco.2020.118433
	Thermal remote sensing of plant water stress in natural ecosystems
	Liu N.; Deng Z.; Wang H.; Luo Z.; Gutiérrez-Jurado H.A.; He X.; Guan H.
发表日期	2020
ISSN	0378-1127
卷号	476
英文摘要	Thermal indices based on canopy temperature (Tc) measurements have been widely used to monitor plant water stress. Such applications have mainly been on homogeneous agriculture crops. Few studies with continuous observations have been conducted on plants in natural ecosystems. Here we examine if the commonly used crop water stress index (CWSI) applies for vegetation in non-managed ecosystems. Two types of parameterization, determined empirically from vapour pressure deficit (CWSI_e) and theoretically from Penman-Monteith equation (CWSI_t), are evaluated on the potential of indicating plant water stress based on Tc and concurrent air temperature (Ta) measurements on three sites under a Mediterranean climate. Results show that although requiring more weather data inputs, CWSI_t does not perform better than CWSI_e, which only requires Tc, Ta and vapor pressure deficit. Weather conditions of wind speed less than 3.0 m s−1 and solar radiation over 600 W m−2 are recommended for Tc for the index calculations. Midday is the optimal time for Tc measurements to estimate water stress for most of the trees. An exponential relationship is found between CWSI_e and soil water content (θ), and a linear relationship exists between CWSI_e and soil water potential (ψ). Values of θ and ψ inverted from CWSI_e agree well with the observations (R2 is about 0.7), indicating that with appropriate measurements of Tc, CWSI_e provides a reliable and non-contact manner for assessing plant water stress in natural ecosystems. © 2020 Elsevier B.V.
英文关键词	Canopy temperature; Crop water stress index; Natural ecosystem; Plant water stress
语种	英语
scopus关键词	Agricultural robots; Crops; Ecosystems; Forestry; Meteorology; Remote sensing; Soil moisture; Wind; Continuous observation; Crop water stress indices; Mediterranean climates; Penman-Monteith equations; Soil water potential; Thermal remote sensing; Vapor pressure deficit; Vapour pressure deficits; Plants (botany); air temperature; canopy architecture; climate conditions; forest ecosystem; index method; parameterization; Penman-Monteith equation; remote sensing; soil water potential; vapor pressure; water stress; Ecosystems; Farm Crops; Forestry; Meteorology; Remote Sensing; Wind
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/155013
作者单位	College of Resource and Environmental Science, Hunan Normal University, Changsha, 410081, China; National Centre for Groundwater Research and Training, College of Science and Engineering, Flinders University, Adelaide, South Australia 5001, Australia; School of Civil Engineering, Sun Yat-sen University, Guangzhou, 510275, China; Department of Geological Sciences, The University of Texas at El PasoTX 79902, United States; Key Laboratory of Geospatial Big Data Mining and Application, Hunan Normal University, Hunan Province, Changsha, 410081, China
推荐引用方式 GB/T 7714	Liu N.,Deng Z.,Wang H.,et al. Thermal remote sensing of plant water stress in natural ecosystems[J],2020,476.
APA	Liu N..,Deng Z..,Wang H..,Luo Z..,Gutiérrez-Jurado H.A..,...&Guan H..(2020).Thermal remote sensing of plant water stress in natural ecosystems.Forest Ecology and Management,476.
MLA	Liu N.,et al."Thermal remote sensing of plant water stress in natural ecosystems".Forest Ecology and Management 476(2020).