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Your search keyword '"MENG, C. J."' showing total 9 results
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9 results on '"MENG, C. J."'

1. Morphological and physiological responses of two Osmanthus fragrans cultivars to salt stress.

Author

GUO, C. Y., MENG, C. J., and YUE, M.

Subjects
*ALKALI lands, *PHYSIOLOGY, *SALT, *PLANT biomass, *SALINITY
Abstract

We examined the morphological and physiological responses of Osmanthus fragrans 'Yingui' (Yin) and O. fragrans 'Jingui' (Jin) to different NaCl concentrations. NaCl concentrations significantly affected plant height and leaf mass per area. Total biomass decreased by 22.8-41.8% under moderate and high NaCl which inhibited O. fragrans growth. The ratio of root to shoot biomass in Yin was 44.3% higher than that in Jin at high NaCl concentrations which suggested that Yin possesses conservative resource acquisition strategies to resist salt stress. Compared to Yin, Jin showed higher net photosynthesis, stomatal conductance, and intercellular CO2 concentration under high NaCl treatment. Jin exhibited also relatively higher proline, soluble sugar, K+ content, and K+/Na+ under the treatments implying that acquisitive resource acquisition may be the main strategy for salt resistance in Jin. Our results demonstrated that Yin and Jin could be cultivated in saline land in a short time and the two cultivars respond to salinity by different morphological and physiological mechanisms. [ABSTRACT FROM AUTHOR]

Published
2023
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2. THE GLOBAL LAND DATA ASSIMILATION SYSTEM

Author

Rodell, M., Houser, P. R., Jambor, U., Gottschalck, J., Mitchell, K., Meng, C.-J., Arsenault, K., Cosgrove, B., Radakovich, J., Bosilovich, M., Entin, J. K., Walker, J. P., Lohmann, D., and Toll, D.

Published
2004

3. Forcing a Global, Offline Land Surface Modeling System with Observation-Based Fields

Author

Rodell, Matthew, Houser, Paul R, Jambor, U, Gottschalck, J, Radakovich, J, Arsenault, K, Meng, C.-J, and Mitchell, K. E

Subjects
Earth Resources And Remote Sensing
Abstract

The Global Land Data Assimilation System (GLDAS) drives multiple uncoupled land surface models in order to produce optimal output fields of surface states in near-real time, globally, at 1/4 degree spatial resolution. These fields are then made available for coupled atmospheric model initialization and further research. One of the unique aspects of GLDAS is its ability to ingest both modeled and observation-derived forcing for running global scale land surface models. This paper compares results of runs forced by modeled and observed precipitation and shortwave radiation fields. Differences are examined and the impact of the observations on model skill is assessed.

Published
2002

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