详细信息
Use of infrared thermal imaging to diagnose health of Ammopiptanthus mongolicus in northwestern China 被引量:6
文献类型:期刊文献
中文题名:Use of infrared thermal imaging to diagnose health of Ammopiptanthus mongolicus in northwestern China
英文题名:Use of infrared thermal imaging to diagnose health of Ammopiptanthus mongolicus in northwestern China
作者:Weijie Yuan[1,2] Yi Yu[1] Yongde Yue[1] Ji Wang[3] Fengchun Zhang[4] Xiaohong Dang[3]
第一作者:原伟杰;Weijie Yuan
机构:[1]International Centre for Bamboo and Rattan;[2]Forestry Experiment Center of North China, Chinese Academy of Forestry;[3]College of Ecology and Environmental Science, Inner Mongolia Agricultural University;[4]Foreign Economic Cooperation Office, Ministry of Environmental Protection
年份:2015
卷号:26
期号:3
起止页码:605-612
中文期刊名:林业研究:英文版
收录:CSTPCD;;Scopus;CSCD:【CSCD2015_2016】;
基金:supported by the national forestry nonprofit industry research projects of China,‘‘Diagnosis of rare and endangered plants Ammopiptanthus mongolicus degradation and research of conservation technology’’(No.201304305)
语种:英文
中文关键词:中国西北部;健康诊断;红外热成像技术;沙冬青;珍稀濒危植物;保护生物多样性;红外热图像;西北干旱地区
外文关键词:Photosynthetic parameters ; Plant stress ;Stomatal conductance ; Thermography ; Three-temperature(3T) model ; Plant-transpiration transfer coefficient
分类号:S759.94;P541
摘要:Population of the rare and endangered species Ammopiptanthus mongolicus(Maxim.) Cheng f. declined rapidly in China's arid region and Central Asia. There is an urgent need to protect this species, which is particularly important in maintaining biodiversity throughout the arid region of northwestern China. By analyzing the infrared thermal images based on plant-transpiration transfer coefficient(h_at) and photosynthetic parameters, we made quantitative and accurate diagnoses of the plant growth and health status of A. mongolicus. Using an LI-COR6400 photosynthesis system, we measured the net photosynthetic rate(P_n), stomatal conductance(G_s), and transpiration rate(T_r). Infrared thermal images obtained in the field were processed by ENVI4.8 software to calculate surface temperatures of the plant subjects. We found that the plant transpiration transfer coefficient of A. mongolicus was in the order of old plants [young plants [intermediate-aged plants. Declining health levels of young, intermediate, and old plants were divided into three categories:\0.4, 0.4–0.7,and [0.7. The coefficient showed a significant negative correlation with T_r, G_s, and P_n, indicating that they can simultaneously reflect the state of plant growth. By establishing h_at and photosynthetic parameters in regression model Y = a-blnx, we can accurately diagnose plant growth and decline of plant health conditions.
Population of the rare and endangered species Ammopiptanthus mongolicus (Maxim.) Cheng f. declined rapidly in China's add region and Central Asia. There is an urgent need to protect this species, which is particularly important in maintaining biodiversity throughout the arid region of northwestern China. By analyzing the infrared thermal images based on plant-transpiration transfer coef- ficient (hat) and photosynthetic parameters, we made quantitative and accurate diagnoses of the plant growth and health status of A. mongolicus. Using an LI-COR6400 photosynthesis system, we measured the net photosynthetic rate (Pn), stomatal conductance (Gs), and transpiration rate (Tr). Infrared thermal images obtained in the field were processed by ENVI4.8 software to calculate surface tem- peratures of the plant subjects. We found that the plant transpiration transfer coefficient of A. mongolicus was inthe order of old plants 〉young plants 〉intermediate-aged plants. Declining health levels of young, intermediate, and old plants were divided into three categories: 〈0.4, 0.4-0.7, and 〉0.7. The coefficient showed a significant negative correlation with Tr, Gs, and Pn, indicating that they can simultaneously reflect the state of plant growth. By estab- lishing hat and photosynthetic parameters in regression model Y = a-blnx, we can accurately diagnose plant growth and decline of plant health conditions.
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