Developing the Remote Sensing-Gash Analytical Model for Estimating Vegetation Rainfall Interception at Very High Resolution: A Case Study in the Heihe River Basin

Cui, Yaokui; Zhao, Peng; Yan, Binyan; Xie, Hongjie; Yu, Pengtao; Wan, Wei; Fan, Wenjie; Hong, Yang

doi:10.3390/rs9070661

Cited by 14 publications

(9 citation statements)

References 16 publications

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“…As reviewed by Kool et al (), despite measurement variability of ∼30%, the past studies showed over 90% agreement for ET = E + T without considering other possible sources (e.g., interception). Previous investigations indicated that forest ecosystems have larger interception ratio, but for grassland ecosystems the contribution of interception loss to total ET is much smaller (Cui et al, ). In arid areas, where precipitation is rare, canopy‐intercepted precipitation contribution to total ET is small and can be negligible (Wang et al, ).…”

Section: Introductionmentioning

confidence: 98%

Seasonality of the Transpiration Fraction and Its Controls Across Typical Ecosystems Within the Heihe River Basin

Tong

Wang

et al. 2019

JGR Atmospheres

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Understanding the seasonality of the transpiration fraction (T/ET) of total terrestrial evapotranspiration (ET) is vital for coupling ecological and hydrological systems and quantifying the heterogeneity among various ecosystems. In this study, a two‐source model was used to estimate T/ET in five ecosystems over the Heihe River Basin. In situ measurements of daily energy flux, sap flow, and surface soil temperature were compared with model outputs for 2014 and 2015. Agreement between model predictions and observations demonstrates good performance in capturing the ecosystem seasonality of T/ET. In addition, sensitivity analysis indicated that the model is insensitive to errors in measured input variables and parameters. T/ET among the five sites showed only slight interannual fluctuations while exhibited significant seasonality. All the ecosystems presented a single‐peak trend, reaching the maximum value in July and fluctuating day to day. During the growing season, average T/ET was the highest for the cropland ecosystem (0.80 ± 0.13), followed by the alpine meadow ecosystem (0.79 ± 0.12), the desert riparian forest Populus euphratica (0.67 ± 0.07), the Tamarix ramosissima Ledeb desert riparian shrub ecosystem (0.67 ± 0.06), and the alpine swamp meadow (0.55 ± 0.23). Leaf area index exerted a first‐order control on T/ET and showed divergence among the five ecosystems because of different vegetation dynamics and environmental conditions (e.g., water availability or vapor pressure deficits). This study quantified transpiration fraction across diverse ecosystems within the same water basin and emphasized the biotic controls on the seasonality of the transpiration fraction.

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Section: Introductionmentioning

confidence: 98%

Seasonality of the Transpiration Fraction and Its Controls Across Typical Ecosystems Within the Heihe River Basin

Tong

Wang

et al. 2019

JGR Atmospheres

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“…RI was estimated using the RS-Gash model (see supplementary methods), which has been proven its usability at the watershed and global scale [17][18][19][20][21].…”

Section: Ri and Water Supplymentioning

confidence: 99%

“…With the development of remote-sensing technology, experts and institutions have recently performed studies on the estimation of RI at a regional scale. The technique of RI estimation at the regional scale based on multisource remotesensing data, represented by the RS-Gash model, has been well-established, widely validated, and used in the watershed or global scale [17][18][19][20][21]. However, the investigation of the spatial heterogeneity of the factors driving RI changes based on high-resolution RI data needs to be strengthened.…”

Section: Introductionmentioning

confidence: 99%

Mapping rainfall interception for assessing ecological restoration sustainability in China

Niu²,

Wei³

et al. 2022

Environ. Res. Lett.

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Ecological restoration (ER) programs play an important role in local and global climate change and carbon management policy interventions. Water resource is a key criterion for assessing the sustainability of ERs. Herein, we explored the spatiotemporal patterns of rainfall interception (RI, an important component of ecosystem water budgets), and its drivers after ER implementation in China. Further, we assessed whether ERs are sustainable by analyzing the trends of RI and water supply. As expected, we found that ERs caused an increase in RI in China from 2001 to 2018 (0.64 mm yr−1, p < 0.01). Changes in the normalized difference vegetation index and leaf area index contributed to a higher change in RI compared with other drivers. The decrease in RI was mainly recorded in the Qinghai–Tibet Plateau in Southwest, northern North, and southern Central and Southern China. Conversely, an increasing trend of RI was recorded in the Loess Plateau in Northwest, Northeast, and East China. Moreover, ERs are not always unsustainable in China, especially in Northeast, East, Central and Southern, and high-latitude regions of northern North China. Even in the Loess Plateau, which was criticized by previous studies, the unsustainability occurred only in the semi-humid region. Future ERs should be prioritized in southern parts of Eastern, Central, and Southern China, and must be appropriately considered in the Northeast and high-latitude regions in North China. It should be alert to the pressures of ERs on water supply, and its demand remains vigilant in the Qinghai–Tibet Plateau and semihumid areas of the Loess Plateau. This study provides new ideas for accurately evaluating the impact of ERs on water security and the sustainability of ERs.

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“…Many scientists have attempted to find a cost-effective approach in documenting changes over large geographic regions in both time and space [2,[12][13][14]. Modeling has become an effective tool in understanding the spatial distribution of canopy interception at a larger scale [6,15,16]. Many models of the rainfall interception process have been developed [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Estimating Rainfall Interception of Vegetation Canopy from MODIS Imageries in Southern China

Liu

Sun

et al. 2019

Remote Sensing

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The interception of rainfall by vegetation canopies plays an important role in the hydrologic process of ecosystems. Most estimates of canopy rainfall interception in present studies are mainly through field observations at the plot region. However, it is difficult, yet important, to map the regional rainfall interception by vegetation canopy at a larger scale, especially in the southern rainy areas of China. To obtain a better understanding of the spatiotemporal variation of vegetation canopy rainfall interception with regard to the basin scale in this region, we extended a rainfall interception model by combining the observed rainfall data and moderate resolution imaging spectroradiometer leaf area index (MODIS_LAI) data to quantitatively estimate the vegetation canopy rainfall interception rate (CRIR) at small/medium basin scales in Guangdong Province, which is undergoing large changes in vegetation cover due to rapid urban expansion in the area. The results showed that the CRIR in Guangdong declined continuously during 2004-2012, but increased slightly in 2016, and the spatial variability of CRIR showed a diminishing yearly trend. The CRIR also exhibited a distinctive spatial pattern, with a higher rate to the east and west of the mountainous areas and a lower rate in the central mountainous and coastal areas. This pattern was more closely related to the spatial variation of the LAI than that of rainfall due to frequent extreme rainfall events saturating vegetation leaves. Further analysis demonstrated that forest coverage, instead of background climate, has a certain impact on the canopy rainfall interception, especially the proportion of broad-leaved forests in the basin, but more in-depth study is warranted in the future. In conclusion, the results of this study provide insights into the spatiotemporal variation of canopy rainfall interception at the basin scale of the Guangdong Province, and suggest that forest cover should be increased by adjusting the species composition to increase the proportion of native broad-leaved species based on the local condition within the basin. In addition, these results would be helpful in accurately assessing the impacts of forest ecosystems on regional water cycling, and provide scientific and practical implications for water resources management.

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Developing the Remote Sensing-Gash Analytical Model for Estimating Vegetation Rainfall Interception at Very High Resolution: A Case Study in the Heihe River Basin

Cited by 14 publications

References 16 publications

Seasonality of the Transpiration Fraction and Its Controls Across Typical Ecosystems Within the Heihe River Basin

Seasonality of the Transpiration Fraction and Its Controls Across Typical Ecosystems Within the Heihe River Basin

Mapping rainfall interception for assessing ecological restoration sustainability in China

Estimating Rainfall Interception of Vegetation Canopy from MODIS Imageries in Southern China

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