摘要
【目的】研究南京城郊典型造林树种麻栎、杉木光合蒸腾特性及其固碳释氧、降温增湿能力,以期为麻栎、杉木林合理经营及其生态环境效益评价提供基础科学数据,也为麻栎、杉木林的合理经营管理以及长江三角洲地区选择生长迅速、节水性能好、社会效益与经济效益双高的造林树种提供理论依据。【方法】春、夏、秋、冬4季分别使用LI-6400便携式光合测定仪、LAI-2200冠层分析仪以及小气象站对南京城郊典型的优势人工林树种麻栎、杉木的光合、蒸腾各项指标及其环境因子进行测定,对其季节性变化规律及其固碳释氧、降温增湿能力进行量化分析,并建立与各影响因子的"最优"多元回归模型,确定各季节主要影响因子。【结果】麻栎春季净光合速率日变化表现为双峰曲线,夏季和秋季表现为单峰曲线。杉木春季净光合速率的日变化表现为双峰曲线,夏、秋、冬季表现为单峰曲线;麻栎春季、夏季蒸腾速率的日变化表现为双峰曲线,秋季表现为单峰曲线。杉木春、冬季蒸腾速率日变化表现为双峰曲线,夏、秋季表现为单峰曲线;麻栎、杉木固碳释氧和降温增湿能力同净光合速率、蒸腾速率总体变化规律一致,表现为:夏季>春季>秋季>冬季,且季节波动比较大。麻栎春、夏、秋3季各季节单位土地面积日均光合固碳释氧量、蒸腾降温增湿量及各自对应年总量均大于杉木。同一树种在不同季、不同树种在同一季节光合固碳释氧和蒸腾降温增湿能力存在显著差异,且随林木所处的地理位置、生态环境及树种特征而变化。不过总体表现为夏季光合固碳释氧和蒸腾降温增湿能力最强,冬季最弱,春季和秋季居中。麻栎光合固碳释氧能力和蒸腾增湿降温能力比杉木强,说明麻栎利用光能固定二氧化碳积累能量、降温增湿、调节小气候改善环境和适应环境的能力强。【�
【Objective 】This study investigated transpiration characteristics and carbon fixation and oxygen release,cooling and humidification of two typical afforestation tree species of Quercus acutissima and Cunninghamia lanceolata in Nanjing suburbs in order to provide basic scientific data for the reasonable management and eco environmental benefit evaluation. And this study could further enrich knowledge about eco-physiology of Q. acutissima and C. lanceolata production,which would be good for the reasonable operation and management of Q. acutissima and C. lanceolata forests,and benefit to improve the forestry production and provide theoretical basis in species selection for rapid growth,good water saving performance,high social benefit and economic benefit in the delta area of Yangtse River. 【Method】A Li-6400 portable photosynthesis instrument was used to measure light photosynthetic and transpiration indexes,a LAI-2200 plant canopy analyzer was used to measure the leaf area index,and a mini weather station measured was used to collectweather data,of Q. acutissima and C. lanceolata forests of Nanjing suburb in spring,summer,autumn,and winter,respectively,to quantitatively study the seasonal variations in carbon fixation and oxygen release, cooling and humidification. With the collected data,the ＂ optimal＂ multivariate regression model was constructed to determine the main impact factors in each season. 【Results】Q. acutissima diurnal variation of net photosynthetic rate showed a bimodal curve in spring,showed a single peak curve in summer and autumn. C. lanceolata diurnal variation in net photosynthetic rate was a bimodal curve in spring, a unimodal curve in summer, autumn and winter. The diurnal variation in transpiration rate of Q. acutissima showed a bimodal curve in spring and summer,and a single peak curve in autumn. The diurnal variation in transpiration rate of C. lanceolata was bimodal curve in spring and winter,and a single peak curve in summer and autumn. The carbon fixation and oxygen releas
出处
《林业科学》
EI
CAS
CSCD
北大核心
2016年第9期31-38,共8页
Scientia Silvae Sinicae
基金
江苏高校优势学科建设工程资助项目(164010641)
关键词
麻栎
杉木
光合固碳释氧
蒸腾降温增湿
Quercus acutissima
Cunninghamia lanceolata
photosynthetic nitrogen oxygen release
transpiration cooling humidification
