Monitoring the variations of evapotranspiration due to land use/cover change in a semiarid shrubland

Gong, Teng; Lei, Huimin; Yang, Dawen; Jiao, Yang; Yang, Hanbo

doi:10.5194/hess-21-863-2017

Cited by 29 publications

(8 citation statements)

References 82 publications

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“…The near‐surface turbulent interactions affecting the relationship between surface fluxes and soil water content during stage‐I evaporation (Figures and ) are of particular importance for semiarid sparsely vegetated regions where soil surface interactions are known to play a critical role [ Lu et al ., ; Sun et al ., ; Nicholson , ; Gong et al ., ]. These regions cover about 50% of the global land area [ Newman et al ., ] and markedly influence local/regional carbon and water cycling and their feedbacks to the climate system [ Scott et al ., ; Lu et al ., ; Ahlström et al ., ; Gong et al ., ]. Semiarid sparsely vegetated areas are characterized by relatively low values of

η

and by dry soils whose upper surfaces are episodically wetted by precipitation.…”

Section: Resultsmentioning

confidence: 99%

Near‐surface turbulence as a missing link in modeling evapotranspiration‐soil moisture relationships

Haghighi

Kirchner

2017

Water Resources Research

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Despite many efforts to develop evapotranspiration (ET) models with improved parametrizations of resistance terms for water vapor transfer into the atmosphere, estimates of ET and its partitioning remain prone to bias. Much of this bias could arise from inadequate representations of physical interactions near nonuniform surfaces from which localized heat and water vapor fluxes emanate. This study aims to provide a mechanistic bridge from land‐surface characteristics to vertical transport predictions, and proposes a new physically based ET model that builds on a recently developed bluff‐rough bare soil evaporation model incorporating coupled soil moisture‐atmospheric controls. The newly developed ET model explicitly accounts for (1) near‐surface turbulent interactions affecting soil drying and (2) soil‐moisture‐dependent stomatal responses to atmospheric evaporative demand that influence leaf (and canopy) transpiration. Model estimates of ET and its partitioning were in good agreement with available field‐scale data, and highlight hidden processes not accounted for by commonly used ET schemes. One such process, nonlinear vegetation‐induced turbulence (as a function of vegetation stature and cover fraction) significantly influences ET‐soil moisture relationships. Our results are particularly important for water resources and land use planning of semiarid sparsely vegetated ecosystems where soil surface interactions are known to play a critical role in land‐climate interactions. This study potentially facilitates a mathematically tractable description of the strength (i.e., the slope) of the ET‐soil moisture relationship, which is a core component of models that seek to predict land‐atmosphere coupling and its feedback to the climate system in a changing climate.

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η

and by dry soils whose upper surfaces are episodically wetted by precipitation.…”

Section: Resultsmentioning

confidence: 99%

Near‐surface turbulence as a missing link in modeling evapotranspiration‐soil moisture relationships

Haghighi

Kirchner

2017

Water Resources Research

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“…In addition to climate factors, ET is also affected by land use/cover and LUCC [5,48]. Moreover, LUCC may have a greater impact on the hydrological cycle than climate change [49].…”

Section: Discussionmentioning

confidence: 99%

Response of Wetland Evapotranspiration to Land Use/Cover Change and Climate Change in Liaohe River Delta, China

Liu

2019

Water

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This study aims to investigate the effects of land use/cover change (LUCC) and climate change on wetland evapotranspiration (ET), and to identify the importance of the main effect factors in the spatiotemporal dynamics of ET. In the wetland of Liaohe River Delta, China, the ET of eight growing seasons during 1985–2017 was estimated using the surface energy balance algorithm for land (SEBAL) model with Landsat and meteorological data. Results show that the average relative error of regional ET estimated by the SEBAL model is 9.01%, and the correlation coefficient between measured and estimated values is 0.61, which indicates that the estimated values are reliable. This study observed significant spatial and temporal variations in ET across the region of interest. The distribution of the average and relative change rate of daily ET in the study area showed bimodal characteristics, that is, the lowest trough occurred in 2005, whereas crests occurred in 1989 and 2014. Simultaneously, the daily ET varied with the land use/cover area. Regional daily ET displays highly heterogeneous spatial distribution, that is, the ET of different land uses/cover types in descending order is as follows: water body, wetland vegetation, non-wetland vegetation, and non-vegetation (except water area). Therefore, the spatial pattern of ET is relevant to the land use/cover types to some extent. In addition, the temporal variation of wetland ET is closely related to landscape transformation and meteorological factor change. A strong correlation was found between ET and the weighted values of meteorological factors, with a correlation coefficient of 0.69. Meanwhile, the annual fluctuations of daily ET and the weighted values were relatively similar. Therefore, the findings highlight the importance of using cheap and readily available remote sensing data for estimating and mapping the variations in ET in coastal wetland.

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“…So, it can be distinguished that air temperatures in the mountains are comparatively colder than on tidal. Previous studies have shown that vegetation, especially forests have a substantial impact and is a significant factor in influencing evapotranspiration, although plant species will provide different evapotranspiration values (Teuling, 2018;Gong et al, 2017).…”

Section: Analysis Of Evapotranspiration In Indonesian Tropical Areamentioning

confidence: 99%

“…Land degradation also causes more runoff or surface flow than infiltration, and the increasing air temperature and surface flow will increase potential evapotranspiration (Karimi et al, 2017;Rushayati et al, 2018;Ping and Liu, 2018). In contrast, researchers also found that the deforestation process can also reduce evapotranspiration because of reduced transpiration by plants (Snyman, 2001;Feddema and Freire, 2001;Zeng and Yang, 2008;Li et al, 2013;Gong, 2017;Karimi et al, 2017;Rushayati et al, 2018;Ping and Liu, 2018). Further studies needed regarding the estimation of potential evapotranspiration at the same elevation as different vegetation and the corresponding vegetation at different altitudes.…”

Section: Analysis Of Evapotranspiration In Indonesian Tropical Areamentioning

confidence: 99%

Evapotranspiration of Indonesia Tropical Area

Marganingrum

Santoso

2019

J. Presipitasi

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Indonesia is an archipelago country with a tropical climate. The region of Indonesia is quite large and located between two continents (Asia and Australia) and between two oceans (Indian and Pacific), making the territory of Indonesia has a unique climate pattern. One of the climate variables that quite important to be studied in this chapter is evapotranspiration. The Thornthwaite method was used to estimate potential evapotranspiration based on average air temperature. The relationships between evapotranspiration, precipitation, and elevation were then examined. Besides, temperature variations that affect climate patterns between monsoonal and equatorial regions were compared, between the mainland and small islands, and between mountain and coastal area. The impact of global warming was also examined on the climate and potential evapotranspiration of the Indonesian region. Data analysis showed that evapotranspiration correlates weakly with precipitation, and the contrary, the evapotranspiration correlates strongly with elevation, with correlation indices of 0.02 and 0.89, respectively. The study confirmed that air temperature is the primary controlling variable of the evapotranspiration in this very heterogeneous landscape. Under a global temperature increase of 1.5 °C above the pre-industrialized year (1765), the evapotranspiration is expected to increase in a range from 4.8 to 11.1%. In general, the excess of water to restore soil moisture in the future tends to decrease, i.e., drier.

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Monitoring the variations of evapotranspiration due to land use/cover change in a semiarid shrubland

Cited by 29 publications

References 82 publications

Near‐surface turbulence as a missing link in modeling evapotranspiration‐soil moisture relationships

Near‐surface turbulence as a missing link in modeling evapotranspiration‐soil moisture relationships

Response of Wetland Evapotranspiration to Land Use/Cover Change and Climate Change in Liaohe River Delta, China

Evapotranspiration of Indonesia Tropical Area

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