4.5 Article

Evaluation of Water Stress Impact on the Parameter Values in Stomatal Conductance Models Using Tower Flux Measurement of a Boreal Aspen Forest

期刊

JOURNAL OF HYDROMETEOROLOGY
卷 13, 期 1, 页码 239-254

出版社

AMER METEOROLOGICAL SOC
DOI: 10.1175/JHM-D-11-043.1

关键词

-

资金

  1. Earth Sciences Sector, Natural Resources Canada
  2. Canadian Space Agency [IMOU 09MOA94558]

向作者/读者索取更多资源

The impact of water stress on plant stomatal conductance (g) has been widely studied but with little consensus as to the processes governing its responses. The photosynthesis-driven stomatal conductance models usually employ constant model parameters and attribute the decrease of g from water stress to the reduction of leaf photosynthesis. This has been challenged by studies showing that the model parameter values decrease when the plant is under water stress. In this study, the impact of plant water stress on the parameter values in stomatal conductance models is evaluated using the approach recently developed by S. Wang et al. and the tower flux measurements at a Canadian boreal aspen forest. Results show that the slope parameter (alpha) in the stomatal conductance models decreases substantially with the development of plant water stress. The magnitude of this reduction is dependent on how plant water stress is represented. Overall, the relative reduction of a from its maximum value is 28% when soil water content decreases from 0.38 to 0.18 m(3) m(-3), and is 38% when Bowen ratio increases from 0.25 to 3.5. Equations for a correction to account for water stress impacts are proposed. Further studies on different ecosystems are necessary to quantify the parameter variations with water stress among different climate regions and plant species.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Geography, Physical

Fully Polarimetric Synthetic Aperture Radar (SAR) Processing for Crop Type Identification

Gang Hong, Shusen Wang, Junhua Li, Jingfeng Huang

PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING (2015)

Article Forestry

Responses of the Carbon Storage and Sequestration Potential of Forest Vegetation to Temperature Increases in Yunnan Province, SW China

Ruiwu Zhou, Wangjun Li, Yiping Zhang, Mingchun Peng, Chongyun Wang, Liqing Sha, Yuntong Liu, Qinghai Song, Xuehai Fei, Yanqiang Jin, Jinbo Gao, Youxing Lin, John Grace, Shusen Wang

FORESTS (2018)

Article Water Resources

Long-term water budget imbalances and error sources for cold region drainage basins

Shusen Wang, Jianliang Huang, Daqing Yang, Goran Pavlic, Junhua Li

HYDROLOGICAL PROCESSES (2015)

Article Environmental Sciences

Effects of Distinguishing Vegetation Types on the Estimates of Remotely Sensed Evapotranspiration in Arid Regions

Tao Du, Li Wang, Guofu Yuan, Xiaomin Sun, Shusen Wang

REMOTE SENSING (2019)

Article Environmental Sciences

Freezing Temperature Controls Winter Water Discharge for Cold Region Watershed

Shusen Wang

WATER RESOURCES RESEARCH (2019)

Article Environmental Sciences

A Self-Calibration Variance-Component Model for Spatial Downscaling of GRACE Observations Using Land Surface Model Outputs

Detang Zhong, Shusen Wang, Junhua Li

Summary: This study presents an iterative adjustment method for spatially downscaling GRACE-derived Total Water Storage Anomaly from its original coarse resolution to a high resolution through integrating Land Surface Model simulated high-resolution Terrestrial Water Storage Anomaly. The method improves uncertainties in downscaled GRACE TWSA and shows agreement between estimated and observed trends in groundwater monitoring well observations.

WATER RESOURCES RESEARCH (2021)

Article Environmental Sciences

Spatiotemporal Downscaling of GRACE Total Water Storage Using Land Surface Model Outputs

Detang Zhong, Shusen Wang, Junhua Li

Summary: High spatiotemporal resolution of terrestrial total water storage is crucial for assessing water resource trends and availability. This study introduces a two-step method to downscale GRACE TWSA from its original coarse resolution to a higher resolution, showing reduced uncertainty and certain level of agreement with in-situ groundwater monitoring well observations.

REMOTE SENSING (2021)

Article Water Resources

Water yield variability and response to climate change across Canada

Zhaoqin Li, Shusen Wang

Summary: This study generated a water yield dataset for Canada from 1979 to 2016 and found that annual water yield varies in a similar temporal pattern to streamflow despite asynchronous inter-annual changes. The dataset showed small uncertainties overall and significant regional variability in water yield across Canada, with the majority of the landmass showing no significant changes in annual water yield over the study period. The most significant increasing trend in water yield was observed in South Central Canada, attributed to increasing precipitation, while the most significant decreasing trend was observed in Northeast Canada and the Southern Montane Cordillera, attributed to decreasing precipitation and increasing evapotranspiration.

HYDROLOGICAL SCIENCES JOURNAL (2021)

Article Remote Sensing

Deep Learning Approaches to Spatial Downscaling of GRACE Terrestrial Water Storage Products Using EALCO Model Over Canada

Hongjie He, Ke Yang, Shusen Wang, Hasti Andon Petrosians, Ming Liu, Junhua Li, Jose Marcato Junior, Wesley Nunes Goncalves, Lanying Wang, Jonathan Li

Summary: Estimating terrestrial water storage (TWS) with high spatial resolution is crucial for hydrological and water resource management, and this study presented three novel CNN-based approaches for spatial downscaling of GRACE TWS products, showing significant improvements over traditional linear regression-based methods.

CANADIAN JOURNAL OF REMOTE SENSING (2021)

Article Water Resources

Interdecadal variability of streamflow in the Hudson Bay Lowlands watersheds driven by atmospheric circulation

Olivier Champagne, M. Altaf Arain, Shusen Wang, Martin Leduc, Hazen A. J. Russell

Summary: The study focuses on the impact of atmospheric circulation on river streamflow in the Hudson Bay Lowlands from 1979 to 2018. It found that anomalous convergence of atmospheric moisture flux between 1995-2008 increased precipitation and streamflow in the region's western part. Since 2009, high streamflow levels have likely been maintained due to increased groundwater discharge associated with permafrost degradation.

JOURNAL OF HYDROLOGY-REGIONAL STUDIES (2021)

Article Water Resources

Effects of climate change on terrestrial water storage and basin discharge in the lancang River Basin

Sadia Bibi, Qinghai Song, Yiping Zhang, Yuntong Liu, Muhammad Aqeel Kamran, Liqing Sha, Wenjun Zhou, Shusen Wang, Palingamoorthy Gnanamoorthy

Summary: The study focuses on the hydrology of the Lancang River Basin, evaluating the spatiotemporal distribution of precipitation, evapotranspiration, and terrestrial water storage to understand the impact of climate change on water storage and basin discharge in the region. The research highlights a decreasing trend in basin discharge and TWS in response to climate change, as well as a 2-month time lag between precipitation and TWS.

JOURNAL OF HYDROLOGY-REGIONAL STUDIES (2021)

Article Meteorology & Atmospheric Sciences

Methods for Estimating Surface Water Storage Changes and Their Evaluations

Shusen Wang, Junhua LI, Hazen A. J. Russell

Summary: In this study, three methods for estimating regional-scale surface water storage change are proposed and evaluated. The water budget methods show significant improvements, especially when considering water area dynamics. These methods and results can be used for calibration and validation of hydrological and climate models, assessing climate change and human disturbance impacts, and filling data gaps in total water storage decomposition studies.

JOURNAL OF HYDROMETEOROLOGY (2023)

Article Environmental Sciences

A New Spatiotemporal Estimator to Downscale GRACE Gravity Models for Terrestrial and Groundwater Storage Variations Estimation

Farzam Fatolazadeh, Mehdi Eshagh, Kalifa Goita, Shusen Wang

Summary: This study proposes a new mathematical approach to downscale monthly terrestrial water storage anomalies from GRACE and estimates groundwater storage anomalies at a daily temporal resolution and a spatial resolution of 0.25 degrees x 0.25 degrees. The method combines GRACE gravity models and hydrological model outputs to enhance the quality of the estimated TWSA and GWSA. The results show significant correlations and low errors in the estimated GWSA compared to in-situ wells.

REMOTE SENSING (2022)

Editorial Material Environmental Sciences

Editorial for the Special Issue Understanding Biosphere-Atmosphere Interactions with Remote Sensing

Praveena Krishnan, Shusen Wang

REMOTE SENSING (2023)

暂无数据