详细信息
不同林龄小胡杨叶性状研究
Study on leaf functional traits of Populus simonii×P.euphratica at different forest ages
文献类型:期刊文献
中文题名:不同林龄小胡杨叶性状研究
英文题名:Study on leaf functional traits of Populus simonii×P.euphratica at different forest ages
作者:马迎宾[1,2,3,4] 黄雅茹[1,3] 张景波[1,2,4] 赵英铭[1,3] 郝需婷[1,2] 张帅[1,3]
第一作者:马迎宾
机构:[1]中国林业科学研究院沙漠林业实验中心,磴口015200;[2]国家林业和草原局防沙治沙工程技术研究中心,磴口015200;[3]乌兰布和沙漠综合治理国家长期科研基地,磴口015200;[4]内蒙古磴口荒漠生态系统国家定位观测研究站,磴口015200
年份:2022
卷号:36
期号:6
起止页码:89-94
中文期刊名:干旱区资源与环境
外文期刊名:Journal of Arid Land Resources and Environment
收录:北大核心:【北大核心2020】;CSCD:【CSCD2021_2022】;CSSCI:【CSSCI2021_2022】;
基金:中央引导地方科技发展资金(2021ZY0058);中央级公益性科研院所基本科研业务费专项(CAFYBB2021MA005);国家自然科学基金(32001374)资助。
语种:中文
中文关键词:叶性状;林龄;小胡杨;乌兰布和沙漠
外文关键词:leaf traits;forest ages;Populus simonii×P.euphratica;Ulanbuh desert
分类号:S792.11
摘要:通过对小胡杨不同林龄叶结构型性状和功能型性状的测定,探究叶性状与林龄的关系,为评价小胡杨在沙漠绿洲的引种表现提供理论依据。结果表明:不同林龄小胡杨叶面积、叶干重、叶干物质含量、叶长宽比、净光合速率、蒸腾速率、气孔导度、胞间CO_(2)浓度存在显著差异,叶面积、叶干重、叶干物质含量、叶长宽比与林龄呈极显著线性正相关(p<0.01),比叶面积与小胡杨林龄之间呈极显著线性负相关(p<0.01),净光合速率、蒸腾速率、气孔导度、胞间CO_(2)浓度与林龄呈极显著线性正相关(p<0.01)。
Through the determination of leaf structure and functional traits of Populus simonii×P.euphratica at different ages,the relationship between the traits and ages was explored,and a theoretical basis for evaluating the introduction performance of Populus simonii×P.euphratica in desert oases was provided.The results showed that there were significant differences in leaf area,leaf dry weight,leaf dry matter content,leaf aspect ratio,net photosynthetic rate,transpiration rate,stomatal conductance,intercellular CO_(2)concentration and ages of Populus simonii×P.euphratica.Leaf area,leaf dry weight,leaf dry matter content,leaf length-width ratio were highly significantly linearly correlated with the ages(p<0.01),there was a very significant linear negative correlation between specific leaf area and ages of Populus simonii×P.euphratica(p<0.01),net photosynthetic rate,transpiration rate,stomatal conductance,and intercellular CO_(2)concentration had a very significant linear positive correlation with ages(p<0.01).
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