首页|Modified non-rectangular hyperbola equation with plant height for photosynthetic light-response curves of Potentilla anserina and Elymus nutans at various growth phases in the Heihe River Basin, Northwest China

Modified non-rectangular hyperbola equation with plant height for photosynthetic light-response curves of Potentilla anserina and Elymus nutans at various growth phases in the Heihe River Basin, Northwest China

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The non-rectangular hyperbola (NRH) equation is the most popular method that plots the photosynthetic light-response (PLR) curve and helps to identify plant photosynthetic capability.However,the PLR curve can't be plotted well by the NRH equation at different plant growth phases due to the variations of plant development.Recently,plant physiological parameters have been considered into the NRH equation to establish the modified NRH equation,but plant height (H),an important parameter in plant growth phases,is not taken into account.In this study,H was incorporated into the NRH equation to establish the modified NRH equation,which could be used to estimate photosynthetic capability of herbage at different growth phases.To explore photosynthetic capability of herbage,we selected the dominant herbage species Potentilla anserina L.and Elymus nutans Griseb.in the Heihe River Basin,Northwest China as the research materials.Totally,twenty-four PLR curves and H at different growth phases were measured during the growing season in 2016.Results showed that the maximum net photosynthetic rate and the initial slope of PLR curve linearly increased with H.The modified NRH equation,which is established by introducing H and an H-based adjustment factor into the NRH equation,described better the PLR curves of P.anserina and E.nutans than the original ones.The results may provide an effective method to estimate the net primary productivity of grasslands in the study area.

plant heightmodified non-rectangular hyperbola equationPotentilla anserinaElymus nutansphotosynthetic light-response curveQilian Mountains

LIU Junjie、WANG Xiaoping、RONG Zhanlei、GAO Yunfei、ZHANG Guangde、WANG Wenbin、GE Lijuan、MAO Yahua、GUO Zhaoxia、WANG Qingtao、ZHAO Chuanyan

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State Key Laboratory of Grassland Agro-ecosystems, School of Life Sciences, Lanzhou University, Lanzhou 730000, China

Institute of Arid Meteorology, China Meteorological Administration, Lanzhou 730020, China

College of landscape and Ecological Engineering, Hebei University of Engineering, Handan 056000, China

research was funded by the National Natural Science Foundation of Chinaresearch was funded by the National Natural Science Foundation of Chinaand the Project of Arid Meteorological Science Research Foundation of China Meteorological Administration

9102501551178209IAM201608

2019

干旱区科学
中国科学院新疆生态与地理研究所,科学出版社

干旱区科学

CSTPCDCSCDSCI
影响因子：1.743
ISSN：1674-6767
年,卷(期)：2019.11(5)
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