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Responses and modeling of canopy stomatal conductance of Platycladus orientalis to environmental factors in Hedong sandy land, Ningxia.

HAN Lei1, HE Jun1, QI Tuo-ye1, TIAN Jia2, SUN Zhao-jun1,3, ZHAN Xiu-li3*   

  1. (1Ningxia  Key Laboratory of Resource Assessment and Environment Regulation in Arid Region, Institute of Environmental Engineering, Ningxia University, Yinchuan 750021, China; 2School of Agriculture, Ningxia University, Yinchuan 750021, China; 3School of Recourses and Environment, Ningxia University, Yinchuan 750021, China).
  • Online:2018-09-10 Published:2018-09-10

Abstract: To understand the responses of forest canopy stomatal conductance to environmental factors and the underlying mechanism of canopy stomatal conductance controlling forest transpiration, the Granier thermal dissipation probe technology was used to monitor the sap flow of Platycladus orientalis, a typical tree species of protective forest in Hedong sandy land of Ningxia, from July to September. The microclimate variables were synchronously monitored. Based on sap flow, the continuous canopy stomatal conductance (gc) was calculated by Penman Monteith equation. An improved Jarvis-Stewart stomatal model was used for simulating the changes of gc. The results showed that the environmental variables such as saturated vapor pressure deficit (VPD), air temperature (Ta), relative humidity (RH) and solar radiation (Rs) were significantly correlated with gc of P. orientalis (P<0.01). The magnitude of the influence of those factors on gc wereTa>Rs>VPD>RH. In sunny days, the relationships between gc and VPD and between gc and Ta were characterized by a hysteresis loop, with the response path being different from the rising stage to descending stage. Moreover, those relationships showed different response patterns at different time. The JarvisStewart model performed better in simulating the responses of canopy stomatal conductance to environmental factors Rs,VPD, and Ta. Results from cross validation showed that optimal parameter calibration of this model explained 84.4% of the total variation.

Key words: orchard grass cultivation, high-throughput sequencing, diversity index, relative abundance, soil nutrient