A platform for research: civil engineering, architecture and urbanism
Generalized Relationship Linking Water Balance and Vegetation Productivity across Site-to-Regional Scales
Evapotranspiration (ET) is a pivotal component in catchment-scale water balance and is essential for informed watershed management. Nevertheless, uncertainties in ET observation or modeling have been hindering effective water resources management. This study addresses this gap by establishing a robust, generalized linear relationship between ET and gross primary productivity (GPP) at the catchment scale. We test the linearity of the relationships between monthly GPP and ET data at 380 near-natural catchments across various climatic and landscape conditions in the contiguous US, yielding Pearson’s for 97% of the 380 catchments. We then develop a regionalization strategy to parameterize this GPP-ET relationship at the catchment scale by identifying and using the linkages between the parameter values and extensively available hydroclimatic and landscape data. We demonstrate the efficacy of the proposed GPP-ET relationship and parameter regionalization strategy by their combined predictive capacity, where the predicted monthly GPP matches well with remote-sensing–based GPP product, achieving Kling-Gupta efficiency (KGE) values for 92% of the catchments. In addition, we verify the relationship and its parameter regionalization at 35 AmeriFlux sites with KGE for 25 sites, suggesting that the new relationship is transferable across the site, catchment, and regional scales. Our findings are valuable for improving remote-sensing–based estimation of monthly ET and diagnosing coupled water-carbon simulations in land surface and Earth system models.
Generalized Relationship Linking Water Balance and Vegetation Productivity across Site-to-Regional Scales
Evapotranspiration (ET) is a pivotal component in catchment-scale water balance and is essential for informed watershed management. Nevertheless, uncertainties in ET observation or modeling have been hindering effective water resources management. This study addresses this gap by establishing a robust, generalized linear relationship between ET and gross primary productivity (GPP) at the catchment scale. We test the linearity of the relationships between monthly GPP and ET data at 380 near-natural catchments across various climatic and landscape conditions in the contiguous US, yielding Pearson’s for 97% of the 380 catchments. We then develop a regionalization strategy to parameterize this GPP-ET relationship at the catchment scale by identifying and using the linkages between the parameter values and extensively available hydroclimatic and landscape data. We demonstrate the efficacy of the proposed GPP-ET relationship and parameter regionalization strategy by their combined predictive capacity, where the predicted monthly GPP matches well with remote-sensing–based GPP product, achieving Kling-Gupta efficiency (KGE) values for 92% of the catchments. In addition, we verify the relationship and its parameter regionalization at 35 AmeriFlux sites with KGE for 25 sites, suggesting that the new relationship is transferable across the site, catchment, and regional scales. Our findings are valuable for improving remote-sensing–based estimation of monthly ET and diagnosing coupled water-carbon simulations in land surface and Earth system models.
Generalized Relationship Linking Water Balance and Vegetation Productivity across Site-to-Regional Scales
J. Hydrol. Eng.
Abeshu, Guta Wakbulcho (author) / Li, Hong-Yi (author) / Shi, Mingjie (author) / Brookshire, Jack (author) / Tang, Jinyun (author) / Xu, Chonggang (author) / McDowell, Nate (author) / Leung, Lai-Yung Ruby (author)
2024-10-01
Article (Journal)
Electronic Resource
English
A method for predicting native vegetation condition at regional scales
Online Contents | 2009
|Linking employee empowerment with productivity in off-site construction
Emerald Group Publishing | 2015
|Modelling regional productivity performance across Western Europe
Taylor & Francis Verlag | 2018
|Linking employee empowerment with productivity in off-site construction
Online Contents | 2015
|