9个阔叶树种叶绿素估测模型

Chlorophyll content modeling for nine species of broadleaf trees

为了方便快速准确地测量树木叶片的叶绿素质量分数,对9个阔叶树种的叶片采样,利用CCM-200测得的叶绿素指数(CCI值)和叶片厚度因子建立叶绿素的估算模型,将估算结果与萃取法测量叶绿素质量分数比较,分析发现:仅利用CCM-200测得的叶绿素指数估算叶绿素a,叶绿素b和总叶绿素质量分数的线性模型误差较大,叶绿素指数与叶绿素a,叶绿素b和总叶绿素质量分数的决定系数(R2)均在0.610左右,相关性不是很显著。当用比叶质量(SLW)来反映叶片厚度,与叶绿素指数一起作为自变量,分别建立估算叶绿素a,叶绿素b以及总叶绿素质量分数的线性回归方程,发现叶绿素指数及比叶质量与叶绿素a,叶绿素b和总叶绿素质量分数之间的决定系数(R2)分别为0.678,0.707和0.689,相关性得到较大提高。而如果采用比叶面积(SLA),即比叶质量的倒数来反映叶片厚度,与叶绿素指数一起作为自变量,分别建立估算叶绿素a,叶绿素b以及总叶绿素质量分数的线性回归方程,各决定系数分别为0.869,0.893和0.881,相关性得到显著提高。由此得到结论:利用叶绿素指数与比叶面积建立的叶绿素质量分数估算模型精度较高,且适用于多种不同树种叶绿素质量分数估算,具有普适性。

Chlorophyll is the main pigment of plant photosynthesis, and chlorophyll content is used ：as an important indicator to evaluate photosynthetic efficiency, mutation, environmental stress and nutritional status for plants. To determine the best way to measure chlorophyll content easily, quickly and accurately, nine species of broadleaf trees were sampled and measured. The nine species of broadleaf trees were Cyclobalonopsis glauca, Castanopsis sclerophylla, Cinnamomum camphora, Magnolia grandiflora, Koelreuteria integrifoliola, Magnolia heptapeta, Sapindus mukorossi, Liriodendron chinensis and Prunus serrulata. The purpose of this paper was to explore the relationship between chlorophyll content index （CCI） and absolute ehlorophyll content, so that just by CCI to obtain the absolute chlorophyll content in leaves. The absolute chlorophyll content meant the quality of chlorophyll in leaves which was obtained by solution extraction method. The Chlorophyll Meter CCM-200was used to determine the chlorophyll content index （CCI） of leaves. And then CCI and leaf thickness were used to simulate models of chlorophyll content. Comparison of simulated and measured data were extracted to show the error from 1） linear models which were only based on chlorophyll content index （CCI） to estimate chlorophyll a, chlorophyll b, and total chlorophyll; 2） models with CCI and specific leaf weight （SLW）; 3） models with CCI and specific leaf area （SLA）, using a regression analysis. A regression analysis showed mod- els only using CCI had an R2 = 0.610. With CCI and SLW, R2 improved, but R2 was better still with SLA and CCI, R2 between CCI and the content of chlorophyll a （R2 = 0.869） , chlorophyll b （R2 = 0.893）, and total chlorophyll （R2 = 0.881 ）. Overall, the simulated model with CCI and SLA as variables was more accurate and universal for estimating chlorophyll content of selected broadleaf tree soecies.