The role of landscape morphology on soil moisture variability in semi‐arid ecosystems

Srivastava, Ankur; Saco, Patricia M.; Rodríguez, J. F.; Kumari, Nikul; Chun, Kwok Pan; Yetemen, Ömer

doi:10.1002/hyp.13990

Cited by 51 publications

(32 citation statements)

References 105 publications

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“…Environmental factors that affected the ACR primarily included the initial soil moisture content, average soil moisture content, soil temperature, T a , rainfall, RH, and more [76]. The initial and average soil moisture content were positively correlated with the ACR, which was consistent with previous research results [25].…”

Section: Discussionsupporting

confidence: 89%

Comparison of Changes in Soil Moisture Content Following Rainfall in Different Subtropical Plantations of the Yangtze River Delta Region

Liu

Tang

Cheng

et al. 2021

Water

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Rainfall is an indispensable link in the atmospheric water cycle, which plays a critical role in forest hydrology. Quercus acutissima and Cunninghamia lanceolata are two fast-growing and economically important tree species in the middle and lower reaches of the Yangtze River. They are extensively applied in the restoration of vegetation, hydraulic engineering, and the development of artificial forests. The primary aims of this study were to describe and compare the changes in soil water content following rainfall events, while elucidating their relationships to environmental factors. From September 2012 to August 2013, we monitored the soil moisture at different depths every 30 min using commercially available soil moisture measuring devices. Hourly meteorological data were monitored over an open area at 200 m from the sample site, including photosynthetically active radiation (Par), air temperature (Ta), relative air humidity (RH), vapor pressure deficits (Vpd), rainfall, and wind speed. The results revealed that variations in the soil moisture content during summer (Cv = 0.231) and autumn (Cv = 0.0.170) were greater than during spring (Cv = 0.0.092) and winter (Cv = 0.0.055), with those in the deep soil moisture (Cv = 0.117) being smaller. The soil moisture content was significantly altered following the cessation of rainfall, where the initial and average moisture content, and the ACR of the soil increased with higher rainfall intensities. The ACR was positively correlated with Ta (γ = 0.16), RH (γ = 0.46) and rainfall (γ = 0.22), but negatively correlated with Par (γ = −0.29), Vpd (γ = −0.23), and wind speed (γ = −0.01). This study provides valuable information regarding the hydrological processes of artificial forests in the middle and lower reaches of the Yangtze River.

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Section: Discussionsupporting

confidence: 89%

Comparison of Changes in Soil Moisture Content Following Rainfall in Different Subtropical Plantations of the Yangtze River Delta Region

Liu

Tang

Cheng

et al. 2021

Water

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“…Soil water-holding capacity has a crucial influence on vine water status, and under dry climates, vineyards should be planted in soils with, at least, a medium water-holding capacity [11,12,19]. Management of the water stored in the soil is essential to reduce plant irrigation requirements.…”

Section: Soil Managementmentioning

confidence: 99%

“…Soil variability in space and time and soil-climate interactions are the main drivers for vineyard performance on a large scale [6][7][8], while human effects, such as short-term agricultural practices, can significantly modify soil properties and variability at the vineyard scale [5,9,10]. Recent studies proved that landscape organization and topography have a significant impact on the distribution of soil water content at the catchment scale [11]. At the plantation scale, it has been proven that vine water status is variable within the vineyard according to topography, management practices, and soil properties, leading to within-vineyard variability in yield, sugar, and phenolic compounds [12].…”

Section: Introductionmentioning

confidence: 99%

“…It is widely acknowledged that weather factors such as temperature, solar radiation, and water availability strongly influence grapevine growth and development, impacting ultimately on yield and wine quality [3,4]. For instance, radiation and precipitation variability caused by orography influences the soil water content distribution [11], as well as the growth responses of vegetation [15]. A comprehensive description of the roles of these weather variables can be found elsewhere [16].…”

Section: Introductionmentioning

confidence: 99%

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Optimization of Vineyard Water Management: Challenges, Strategies, and Perspectives

Mirás-Avalos

Araujo

2021

Water

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Water availability is endangering the production, quality, and economic viability of growing wine grapes worldwide. Climate change projections reveal warming and drying trends for the upcoming decades, constraining the sustainability of viticulture. In this context, a great research effort over the last years has been devoted to understanding the effects of water stress on grapevine performance. Moreover, irrigation scheduling and other management practices have been tested in order to alleviate the deleterious effects of water stress on wine production. The current manuscript provides a comprehensive overview of the advances in the research on optimizing water management in vineyards, including the use of novel technologies (modeling, remote sensing). In addition, methods for assessing vine water status are summarized. Moreover, the manuscript will focus on the interactions between grapevine water status and biotic stressors. Finally, future perspectives for research are provided. These include the performance of multifactorial studies accounting for the interrelations between water availability and other stressors, the development of a cost-effective and easy-to-use tool for assessing vine water status, and the study of less-known cultivars under different soil and climate conditions.

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“…Temporal distribution of incoming solar radiation and its magnitude are significant inputs to many modeling studies due to their roles in ecological and physical processes. Therefore, complete and accurate representation of τ is crucial for modeling studies related to climate, hydrology, ecology, carbon balances, and agronomy [3][4][5][6][7]. The growing demand of τ in modeling studies creates a need to develop empirical relationships with different meteorological factors.…”

Section: Introductionmentioning

confidence: 99%

Global Analysis of Atmospheric Transmissivity Using Cloud Cover, Aridity and Flux Network Datasets

et al. 2021

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Atmospheric transmissivity (τ) is a critical factor in climatology, which affects surface energy balance, measured at a limited number of meteorological stations worldwide. With the limited availability of meteorological datasets in remote areas across different climatic regions, estimation of τ is becoming a challenging task for adequate hydrological, climatic, and crop modeling studies. The availability of solar radiation data is comparatively less accessible on a global scale than the temperature and precipitation datasets, which makes it necessary to develop methods to estimate τ. Most of the previous studies provided region specific datasets of τ, which usually provide local assessments. Hence, there is a necessity to give the empirical models for τ estimation on a global scale that can be easily assessed. This study presents the analysis of the τ relationship with varying geographic features and climatic factors like latitude, aridity index, cloud cover, precipitation, temperature, diurnal temperature range, and elevation. In addition to these factors, the applicability of these relationships was evaluated for different climate types. Thus, empirical models have been proposed for each climate type to estimate τ by using the most effective factors such as cloud cover and aridity index. The cloud cover is an important yet often overlooked factor that can be used to determine the global atmospheric transmissivity. The empirical relationship and statistical indicator provided the best performance in equatorial climates as the coefficient of determination (r2) was 0.88 relatively higher than the warm temperate (r2 = 0.74) and arid regions (r2 = 0.46). According to the results, it is believed that the analysis presented in this work is applicable for estimating the τ in different ecosystems across the globe.

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The role of landscape morphology on soil moisture variability in semi‐arid ecosystems

Cited by 51 publications

References 105 publications

Comparison of Changes in Soil Moisture Content Following Rainfall in Different Subtropical Plantations of the Yangtze River Delta Region

Comparison of Changes in Soil Moisture Content Following Rainfall in Different Subtropical Plantations of the Yangtze River Delta Region

Optimization of Vineyard Water Management: Challenges, Strategies, and Perspectives

Global Analysis of Atmospheric Transmissivity Using Cloud Cover, Aridity and Flux Network Datasets

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