首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Modelling the spectral response of the desert tree Prosopis tamarugo to water stress
Institution:1. Water and Land Resource Centre of Addis Ababa University, P.O. Box 3880, Addis Ababa, Ethiopia;2. Department of Geography and Environmental Studies of Addis Ababa University, P.O. 1176, Addis Ababa, Ethiopia;3. Botswana University of Agriculture and Natural Resources (BUAN), Department of Crop Science and Production, Private Bag 0027, Gaborone, Botswana;4. School of Agricultural Economics & Agribusiness of Haramaya University, P.O. Box 50, Dire Dawa, Ethiopia;5. CABI, Rue des Grillons 1, CH-2800 Delémont, Switzerland;6. Centre for Development and Environment, University of Bern, Mittelstrasse 43, CH-3012 Bern, Switzerland
Abstract:In this paper, we carried out a laboratory experiment to study changes in canopy reflectance of Tamarugo plants under controlled water stress. Tamarugo (Prosopis tamarugo Phil.) is an endemic and endangered tree species adapted to the hyper-arid conditions of the Atacama Desert, Northern Chile. Observed variation in reflectance during the day (due to leaf movements) as well as changes over the experimental period (due to water stress) were successfully modelled by using the Soil-Leaf-Canopy (SLC) radiative transfer model. Empirical canopy reflectance changes were mostly explained by the parameters leaf area index (LAI), leaf inclination distribution function (LIDF) and equivalent water thickness (EWT) as shown by the SLC simulations. Diurnal leaf movements observed in Tamarugo plants (as adaptation to decrease direct solar irradiation at the hottest time of the day) had an important effect on canopy reflectance and were explained by the LIDF parameter. The results suggest that remote sensing based assessment of this desert tree should consider LAI and canopy water content (CWC) as water stress indicators. Consequently, we tested fifteen different vegetation indices and spectral absorption features proposed in literature for detecting changes of LAI and CWC, considering the effect of LIDF variations. A sensitivity analysis was carried out using SLC simulations with a broad range of LAI, LIDF and EWT values. The Water Index was the most sensitive remote sensing feature for estimating CWC for values less than 0.036 g/cm2, while the area under the curve for the spectral range 910–1070 nm was most sensitive for values higher than 0.036 g/cm2. The red-edge chlorophyll index (CIred-edge) performed the best for estimating LAI. Diurnal leaf movements had an effect on all remote sensing features tested, particularly on those for detecting changes in CWC.
Keywords:Arid ecosystems  Radiative transfer model  Soil-Leaf-Canopy  Water stress  Spectral reflectance  Vegetation indices  Remote sensing  Tamarugo  Atacama
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号