Variations in dew moisture regimes in desert ecosystems and their influencing factors

Yu, Ruihong; Zhang, Zhuangzhuang; Lu, Xixi; Chang, I‐Shin; Liu, Tingxi

doi:10.1002/wat2.1482

Cited by 11 publications

(5 citation statements)

References 131 publications

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“…The major discrepancies of VIC's Cn happen during the spring-summer months suggesting that some of the heat lost as Cn (latent) is actually lost from the surface by convection, cooling the leaves. The yearly magnitudes of dew formed by Cn suggest that its impact on the water balance is minimum in most climate zones, except for hot arid climate zones (BSh), where Cn has ecological importance, in agreement with the observations reported by Guo et al (2016) and Yu et al (2020).…”

Section: Simulated Actual Evapotranspiration (E Asupporting

confidence: 89%

Simple process-led algorithms for simulating habitats (SPLASH v.2.0): calibration-free calculations of water and energy fluxes

Sandoval,

Prentice,

Nóbrega

2023

Preprint

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Abstract. The current representation of key processes in Land Surface Models for estimating water and energy balances still relies heavily on empirical equations that require site-specific calibration. When multiple parameters are used, different combinations of parameter values can produce equally acceptable results leading to a risk of obtaining “right answers for wrong reasons”, compromising the reproducibility of the simulations and limiting the ecological interpretability of the results. To reduce the need for free parameters, here we present novel formulations based on first-principles to calculate key components of water and energy balances, extending the already parsimonious SPLASH v.1.0 model (Davis et al. 2017, GMD). We found analytical solutions for many processes, enabling us to increase spatial resolution and include the terrain effects directly in the calculations without unreasonably inflating computational demands. This calibration-free model estimates quantities such as net radiation, evapotranspiration, condensation, soil water content, surface runoff, subsurface lateral flow and snow-water equivalent. These quantities are derived from readily meteorological data such as near-surface air temperature, precipitation and solar radiation, and soil physical properties. Whenever empirical formulations were required, we selected and optimized the best-performing equations through a combination of remote sensing and globally distributed terrestrial observational datasets. Simulations at global scales at different resolutions were run to evaluate spatial patterns, while simulations with point-based observations were run to evaluate seasonal patterns using data from hundreds of stations and comparisons with the VIC-3L model, demonstrating improved performance based on statistical tests and observational comparisons. In summary, our model offers a more robust, reproducible, and ecologically interpretable solution compared to more complex LSMs.

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Section: Simulated Actual Evapotranspiration (E Asupporting

confidence: 89%

Simple process-led algorithms for simulating habitats (SPLASH v.2.0): calibration-free calculations of water and energy fluxes

Sandoval,

Prentice,

Nóbrega

2023

Preprint

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“…This is because the climatic conditions in the study area were more suitable for dew condensation. Moreover, the dew duration with plants on the underlying surface is generally longer than that in desert areas without plant growth (3~4 h) [17]. In addition, the study area is located further north and the night is longer, which is also an important factor affecting the long dew duration.…”

Section: Dew Frequency and Durationmentioning

confidence: 93%

“…For example, the dominant species of marshes restored for 5 years was xerophytes, while marshes restored 12 years ago were gradually dominated by wetland plants [16]. The condensation and evaporation processes of dew are closely related to the meteorological conditions near the surface and the types of underlying surfaces [17]. The differences in water depth and plant types in wetlands with different years since restoration will affect the mechanisms of dew condensation and evaporation.…”

Section: Introductionmentioning

confidence: 99%

Does Marsh Restoration Have an Impact on Dew?

Xu,

Chen,

Hou

et al. 2024

Water

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As an ecological factor of wetland ecosystems, dew condenses frequently and in large amounts. In the process of marsh wetland restoration, the differences in water depth and plant types in different restoration years may affect dew condensation and evaporation. In this study, by monitoring dew in natural marshes, unrestored marshes (farmlands), and marshes restored 15, 10, and 5 years ago in the plant growth period of 2022 in the Sanjiang Plain, China, it was found that the “cold and wet effect” of marshes was conducive to dew condensation and could prolong the evaporation time of dew. In the process of marsh restoration, the number of dew days increased from 106 days (farmland) to 122 days (15-year marsh restoration), and the duration increased from 791.1 ± 90.3 min (farmland) to 869.4 ± 100.5 min (15-year marsh restoration). The dew intensity increased from 0.06 ± 0.02 mm (farmland) to 0.13 ± 0.04 mm (15-year marsh restoration), and the annual dew amount increased from 35.10 mm/y (farmland) to 44.86 mm/y (15-year marsh restoration). The number of dew days and the duration were similar to those of natural marshes after 15 years of restoration. SO42−, Ca2+, NH4+ and NO3− were the main ions of dew in marsh in each restoration year and farmland. There was no significant difference in the ion concentration (Ca2+, Mg2+, Na+, K+, NH4+, F−, Cl−, NO2−, and SO42−) of natural marsh dew compared with that 15 years after restoration (p > 0.05), except for NO3−. The marsh restored after 15 years had basically restored the characteristics of natural marsh in terms of the quality and quantity of dew. This study showed that marsh restoration increased dew, and dew was a good indicator of the restoration effect of marshes.

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“…Soil water is an essential element in crop management [1][2][3]. Under natural conditions, water supplies through rainfall [4], water flux from deeper soil water like groundwater [5], incoming water flux from neighboring soil at higher soil water content [6], and fog and dew formation on the soil surface [7][8][9][10]. Human interventions such as cloud seeding [11][12][13] and water irrigation system [14] would supply water for plants' needs.…”

Section: Introductionmentioning

confidence: 99%

Water Infiltration into Sand, Silt, and Clay at Field Capacity

Giap

Rudiyanto

Sulaiman

2021

ARFMTS

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Field capacity (FC), permanent wilting (PWP), and plant available water (PAW) are essential parameters to estimate for soils because they are essential for water irrigation management. However, these parameters were reported in water volume per unit soil volume. Knowing the soil required water volume does not imply immediate water availability, that is, the speed at which the water could be supplied to the soil. This is because there is a lag time between water irrigation initiation and the water increment in the soil depth. This study uses the field capacity’s soil water content to simulate the water infiltration using Richards’ equation. The studied soil medium was silt, sand, and clay. The study allows an estimate of water infiltration time and infiltrated water to relate to the soil depth of interest. The clayey has the highest FC, and the silty soil has the highest PAW. The results revealed silty soil could contain more readily water for plant growth than sand and clay. This study also revealed silty soil to be a better soil medium than sand and clay. It has the best tradeoff between water infiltration time and the infiltrated amount of water for plant absorption. This study’s coupling technique will be a useful tool for farmers and field practitioners to assess any site based on the soil texture at an early stage of water irrigation investigation.

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Variations in dew moisture regimes in desert ecosystems and their influencing factors

Cited by 11 publications

References 131 publications

Simple process-led algorithms for simulating habitats (SPLASH v.2.0): calibration-free calculations of water and energy fluxes

Simple process-led algorithms for simulating habitats (SPLASH v.2.0): calibration-free calculations of water and energy fluxes

Does Marsh Restoration Have an Impact on Dew?

Water Infiltration into Sand, Silt, and Clay at Field Capacity

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