基于红外热成像技术的沙冬青衰退等级划分
|
摘要
由于生境严酷及人类活动影响,古老孑遗物种沙冬青群落出现不同程度的衰退,生存现状岌岌可危。基于此,本研究利用红外热成像技术通过野外现地获取热红外影像,运用ENVI软件提取植被冠层表面温度,并根据"三温模型"计算植被蒸腾扩散系数hat,探明不同衰退等级下沙冬青植被蒸腾扩散系数与其光合参数(净光合速率Pn、蒸腾速率Tr及气孔导度Gs)之间的相关关系。结果表明:(1)依据hat日均值,将沙冬青植株衰退等级划分为:未衰退(hat<0. 50),轻中度衰退(hat在0. 50～0. 65),重度衰退(hat> 0. 65)。(2) Pn、Tr及Gs随hat的升高呈递减趋势。此外,各衰退等级沙冬青光合参数与hat的日变化规律相反。(3)hat与Pn、Tr及Gs能同步反映出植物的生长状态。hat与光合参数的最优回归模型为:Y=a-blnx。因此,热红外成像技术是划分沙冬青衰退程度的一种简单易行的无损伤诊断方法。
The relict plant Ammopiptanthus mongolicus was becoming more and more endangered because of increasingly serious climate problems and anthropogenic destruction. The relationship between vegetation transpiration diffusion coefficient( hat) and its photosynthetic parameter(Pn,Tr,Gs) was studied based on infrared thermal imaging technology through three-temperature model and ENVI software. The results showed that:(1) According to the daily average value of hat,the recession grades of the plants with were classified as follows: no recession( hat< 0. 50),slight recession and moderate recession( hatis 0. 50-0. 65),severe recession( hat> 0.65),respectively.(2) Pn,Trand Gsdecreased with the increasing of hat. In addition,the diurnal variation of photosynthetic parameters was opposite to hat.(3) Correlation analysis showed that hat,Pn,Trand Gscould synchronously reflect the growth situation of plants. The optimal regression model of hat and photosynthetic parameters was: Y = a-blnx( Y was the photosynthesis parameters; x was hat; a and b were the constant). This method could obtain plant parameters quickly and accurately without contact and damage. Therefore,thermal infrared imaging technique is a simple and easy method for the diagnosis of the recession grades of Ammopiptanthus mongolicus.
The relict plant Ammopiptanthus mongolicus was becoming more and more endangered because of increasingly serious climate problems and anthropogenic destruction. The relationship between vegetation transpiration diffusion coefficient( hat) and its photosynthetic parameter(Pn,Tr,Gs) was studied based on infrared thermal imaging technology through three-temperature model and ENVI software. The results showed that:(1) According to the daily average value of hat,the recession grades of the plants with were classified as follows: no recession( hat< 0. 50),slight recession and moderate recession( hatis 0. 50-0. 65),severe recession( hat> 0.65),respectively.(2) Pn,Trand Gsdecreased with the increasing of hat. In addition,the diurnal variation of photosynthetic parameters was opposite to hat.(3) Correlation analysis showed that hat,Pn,Trand Gscould synchronously reflect the growth situation of plants. The optimal regression model of hat and photosynthetic parameters was: Y = a-blnx( Y was the photosynthesis parameters; x was hat; a and b were the constant). This method could obtain plant parameters quickly and accurately without contact and damage. Therefore,thermal infrared imaging technique is a simple and easy method for the diagnosis of the recession grades of Ammopiptanthus mongolicus.
引文
[1]张涛,蒋志荣.沙冬青引种栽培的试验研究[J].中国沙漠,1987,7(3):41-47.
[2]王烨,尹克林.两种沙冬青耐盐性测定[J].干旱区研究,1991(1):20-22.
[3]Chaerle L,Van Der Straeten D. Imaging techniques and the early detection of plant stress[J]. Trends in Plant Science,2000,5(11):495-501.
[4]Jones H G. The use of thermography for quantitative studies of spatial and temporal variation of stomatal conductance over leaf surface[J]. Plant,Cell Environment,1999,22:1043-1055.
[5]Bettina B,Boris P,Mark T. High-throughput shoot imaging to study drought responses[J]. Journal of Experimental Botany,2010,61(13):3519-3528.
[6]徐小龙,蒋焕煜,杭月兰.热红外成像用于番茄花叶病早期检测的研究[J].农业工程学报,2012,28(5):145-149.
[7]Giuseppe R,Shamaila Z,Wolfram S,et al. Use of the rmography for high throughput phenotyping of tropical maize adaptation in water stress[J]. Computers and Electronics in Agriculture,2011,79(1):67-74.
[8]邱国玉,吴晓,王帅,宋献方.三温模型-基于表面温度测算蒸散和评价环境质量的方法Ⅳ.植被蒸腾扩散系数[J].植物生态学报,2006,30(5):852-860.
[9]刘亚,丁俊强,苏巴钱德,廖登群,赵久然,李建生.基于远红外热成像的叶温变化与玉米苗期耐旱性的研究[J].中国农业科学,2009,42(6):2192-2201.
[10]Qiu GY,Sase S,Shi S,Ding G. Theoretical analysis and experimental verification of a remotely measurable plant transpiration coefficient[J].JARQ Japan Agricultural Research Quarterly,2003,37:141-149.
[11]Grant O M,Chaves M M,Jones H G. Optimizing thermal imaging as a technique for detecting stomatal closure induced by drought stress under greenhouse conditions[J]. Physiologia Plantarum,2006,127(3):507-518.
[12]Jones H G,Stoll M,Santos Tde Sousa C,et al. Use of infrared thermography for monitoring stomatal closure in the field:application to grapevine[J]. Journal of Experimental Botany,2002,53(378):2249-2260.
[13]Prytz G,Futsaether C M,Johnsson A. Thermography studies of the spatial and temporal variability in stomatal conductance of Avena leaves during stable and oscillatory transpiration[J]. New Phytologist,2003,158(2):249-258.
[14]Jones H G,Leinonen L. Thermal imaging for the study of plant water relations[J]. Journal of Agricultural Meteorology,2003,59(3):205-217.
[15]Song Y W,Kang Y L,Song C P,et al. Identification and primary genetic analysis of Arabidopsis stomatal mutants in response to multiple stresses[J]. Chinese Science Bulletin,2006,51(21):2586-2594.
[16]赵云霞,李瑞利,邱国玉.基于热红外遥感的沙冬青(Ammopiptanthus mongolicus)健康状况诊断[J].中国沙漠,2016,36(4):997-1006.
[17]李光仁.干旱区天然白刺平茬效应初探[J].甘肃林业科技,1999,24(3):40-41.
[18]贾志军,张稳,黄耀,赵晓松,宋长春.三江平原沼泽湿地垦殖对蒸散量的影响[J].环境科学,2010,31(4):833-842.
[19]李程.荒漠绿洲过渡带白刺沙堆的水分收支研究[D].北京:北京大学,2013.
[20]魏峰.水稻剑叶主要光合参数衰退进程的研究[D].南京:南京农业大学,2003.
[21]蒋高明,朱桂杰.高温强光环境条件下3种沙地灌木的光合生理特点[J].植物生态学报,2001,25(5):525-531.
[22]傅伟,王天铎.净光合速率与气孔导度相互关系的电学类比分析和模拟研究[J].植物学报,1994,36(7):511-517.
[23]Yuan W J,Yu Y,Yue Y D,et al. Use of infrared thermal imaging technique to diagnose health of Ammopiptanthus mongolicus in northwestern China[J]. Journal of Forestry Research,2015,26(3):605-612.
[2]王烨,尹克林.两种沙冬青耐盐性测定[J].干旱区研究,1991(1):20-22.
[3]Chaerle L,Van Der Straeten D. Imaging techniques and the early detection of plant stress[J]. Trends in Plant Science,2000,5(11):495-501.
[4]Jones H G. The use of thermography for quantitative studies of spatial and temporal variation of stomatal conductance over leaf surface[J]. Plant,Cell Environment,1999,22:1043-1055.
[5]Bettina B,Boris P,Mark T. High-throughput shoot imaging to study drought responses[J]. Journal of Experimental Botany,2010,61(13):3519-3528.
[6]徐小龙,蒋焕煜,杭月兰.热红外成像用于番茄花叶病早期检测的研究[J].农业工程学报,2012,28(5):145-149.
[7]Giuseppe R,Shamaila Z,Wolfram S,et al. Use of the rmography for high throughput phenotyping of tropical maize adaptation in water stress[J]. Computers and Electronics in Agriculture,2011,79(1):67-74.
[8]邱国玉,吴晓,王帅,宋献方.三温模型-基于表面温度测算蒸散和评价环境质量的方法Ⅳ.植被蒸腾扩散系数[J].植物生态学报,2006,30(5):852-860.
[9]刘亚,丁俊强,苏巴钱德,廖登群,赵久然,李建生.基于远红外热成像的叶温变化与玉米苗期耐旱性的研究[J].中国农业科学,2009,42(6):2192-2201.
[10]Qiu GY,Sase S,Shi S,Ding G. Theoretical analysis and experimental verification of a remotely measurable plant transpiration coefficient[J].JARQ Japan Agricultural Research Quarterly,2003,37:141-149.
[11]Grant O M,Chaves M M,Jones H G. Optimizing thermal imaging as a technique for detecting stomatal closure induced by drought stress under greenhouse conditions[J]. Physiologia Plantarum,2006,127(3):507-518.
[12]Jones H G,Stoll M,Santos Tde Sousa C,et al. Use of infrared thermography for monitoring stomatal closure in the field:application to grapevine[J]. Journal of Experimental Botany,2002,53(378):2249-2260.
[13]Prytz G,Futsaether C M,Johnsson A. Thermography studies of the spatial and temporal variability in stomatal conductance of Avena leaves during stable and oscillatory transpiration[J]. New Phytologist,2003,158(2):249-258.
[14]Jones H G,Leinonen L. Thermal imaging for the study of plant water relations[J]. Journal of Agricultural Meteorology,2003,59(3):205-217.
[15]Song Y W,Kang Y L,Song C P,et al. Identification and primary genetic analysis of Arabidopsis stomatal mutants in response to multiple stresses[J]. Chinese Science Bulletin,2006,51(21):2586-2594.
[16]赵云霞,李瑞利,邱国玉.基于热红外遥感的沙冬青(Ammopiptanthus mongolicus)健康状况诊断[J].中国沙漠,2016,36(4):997-1006.
[17]李光仁.干旱区天然白刺平茬效应初探[J].甘肃林业科技,1999,24(3):40-41.
[18]贾志军,张稳,黄耀,赵晓松,宋长春.三江平原沼泽湿地垦殖对蒸散量的影响[J].环境科学,2010,31(4):833-842.
[19]李程.荒漠绿洲过渡带白刺沙堆的水分收支研究[D].北京:北京大学,2013.
[20]魏峰.水稻剑叶主要光合参数衰退进程的研究[D].南京:南京农业大学,2003.
[21]蒋高明,朱桂杰.高温强光环境条件下3种沙地灌木的光合生理特点[J].植物生态学报,2001,25(5):525-531.
[22]傅伟,王天铎.净光合速率与气孔导度相互关系的电学类比分析和模拟研究[J].植物学报,1994,36(7):511-517.
[23]Yuan W J,Yu Y,Yue Y D,et al. Use of infrared thermal imaging technique to diagnose health of Ammopiptanthus mongolicus in northwestern China[J]. Journal of Forestry Research,2015,26(3):605-612.