Stem and leaf traits as co-determinants of canopy water flux

doi:10.1016/j.pld.2019.06.003

Plant Diversity ›› 2019, Vol. 41 ›› Issue (04): 258-265.DOI: 10.1016/j.pld.2019.06.003

Stem and leaf traits as co-determinants of canopy water flux

Jianguo Gao^a,c,d, Kai Tian^b

a Department of Ecology, College of Urban and Environmental Sciences, Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, No.5 Yiheyuan Road Haidian District, Beijing, 100871, PR China;
b School of Life Sciences, Nanjing University, Nanjing, 210023, PR China;
c Coastal Ecosystems Research Station of the Yangtze River Estuary, Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Institute of Biodiversity Science, Fudan University, Shanghai, 200438, PR China;
d Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, Chinese Academy of Sciences, South China Botanical Garden, Guangzhou, 510650

收稿日期:2019-04-04 修回日期:2019-06-10 出版日期:2019-08-25 发布日期:2019-09-17
通讯作者: Jianguo Gao,E-mail address:gaojg@pku.edu.cn
基金资助:
Many thanks go to Professor Ping Zhao and the graduate student Peiqiang Zhao of South China Botanical Garden (SCBG), CAS for their very early fieldwork. Hui Liu of SCBG provides critical insights into our experimental results. Sincere thanks go to two anonymous reviewers for their constructive comments and encouragements.

Stem and leaf traits as co-determinants of canopy water flux

Jianguo Gao^a,c,d, Kai Tian^b

a Department of Ecology, College of Urban and Environmental Sciences, Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, No.5 Yiheyuan Road Haidian District, Beijing, 100871, PR China;
b School of Life Sciences, Nanjing University, Nanjing, 210023, PR China;
c Coastal Ecosystems Research Station of the Yangtze River Estuary, Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Institute of Biodiversity Science, Fudan University, Shanghai, 200438, PR China;
d Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, Chinese Academy of Sciences, South China Botanical Garden, Guangzhou, 510650

Received:2019-04-04 Revised:2019-06-10 Online:2019-08-25 Published:2019-09-17
Contact: Jianguo Gao,E-mail address:gaojg@pku.edu.cn
Supported by:
Many thanks go to Professor Ping Zhao and the graduate student Peiqiang Zhao of South China Botanical Garden (SCBG), CAS for their very early fieldwork. Hui Liu of SCBG provides critical insights into our experimental results. Sincere thanks go to two anonymous reviewers for their constructive comments and encouragements.

摘要/Abstract

摘要： Transpiration through stomata in tree canopies plays an important role in terrestrial water cycles. However, the empirical relationship between leaf stomata anatomy and canopy stomatal conductance (G_s) is surprisingly rare, thereby the underlying biological mechanisms of terrestrial water flux are not well elucidated. To gain further insight into these mechanisms, we reanalyzed the dataset of G_s previously reported by Gao et al. (2015) using a quantile regression model. The results indicated that the reference G_s (G_sref, G_s at 1 kPa) was negatively correlated with wood density at each quantile, which confirmed previous data; however, G_sref was significantly correlated with stomatal density at the 0.6 quantile, i.e., 450 stomata mm^-2. This highlighted the potential of using stomatal density as a trait to predict canopy water flux. A conceptual model of co-determinants of xylem and stomatal morphology suggests that these traits and their coordination may play a critical role in determining tree growth, physiological homeostatic response to environmental variables, water use efficiency, and drought resistance.

关键词: G_sref, Quantile regression, Stomatal density, Water flux, Wood density

Abstract: Transpiration through stomata in tree canopies plays an important role in terrestrial water cycles. However, the empirical relationship between leaf stomata anatomy and canopy stomatal conductance (G_s) is surprisingly rare, thereby the underlying biological mechanisms of terrestrial water flux are not well elucidated. To gain further insight into these mechanisms, we reanalyzed the dataset of G_s previously reported by Gao et al. (2015) using a quantile regression model. The results indicated that the reference G_s (G_sref, G_s at 1 kPa) was negatively correlated with wood density at each quantile, which confirmed previous data; however, G_sref was significantly correlated with stomatal density at the 0.6 quantile, i.e., 450 stomata mm^-2. This highlighted the potential of using stomatal density as a trait to predict canopy water flux. A conceptual model of co-determinants of xylem and stomatal morphology suggests that these traits and their coordination may play a critical role in determining tree growth, physiological homeostatic response to environmental variables, water use efficiency, and drought resistance.

Key words: G_sref, Quantile regression, Stomatal density, Water flux, Wood density

Jianguo Gao, Kai Tian. Stem and leaf traits as co-determinants of canopy water flux[J]. Plant Diversity, 2019, 41(04): 258-265.

图/表 6

表1 2013年湿地生态系统阴天和晴天净生态系统CO2交换(NEE)和光合有效辐射(PAR)根据Michaclis-Menten模型(方程(3))模拟参数的比较

Table 1 Comparison of the analog parameters from daytime net ecosystem exchange of CO2(NEE) and photosynthetically active radiation (PAR) using a Michaelis-Menten model (Eq.(3)) between sunny days and cloudy days in the wetland

表2 多元回归分析黄河三角洲湿地生长季阴天和晴天光合有效辐射(PAR)与气温(T)对净生态系统CO2交换(NEE), 阴天和晴天PAR差量(ΔPAR)与T差值(ΔT)对NEE差量(ΔNEE)的协同影响

Table 2 Estimated empirical coefficient of multiple liner regression models for changes in net ecosystem exchange (NEE) with photosynthetically active radiation (PAR) and air temperature (T) on sunny and cloudy days during the growing season in the Yellow River Delta

	方程 Equation	R²	p	n
晴天 Sunny day	NEE = -0.005PAR - 0.28T + 4.06	0.41	<0.001	288
阴天 Cloudy day	NEE = -0.006PAR - 0.107T + 2.67	0.42	<0.001	288
阴天和晴天差量 Difference between sunny and cloudy days	ΔNEE = -0.004ΔPAR - 0.123ΔT - 2.54	0.63	<0.001	288

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Stem and leaf traits as co-determinants of canopy water flux

Stem and leaf traits as co-determinants of canopy water flux

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