Characteristics of Energy Distribution in a Desert Ecosystem in Inner Mongolia, Northern China

Abstract

Desert ecosystems are vulnerable to climate change because of their fragile environment and poor self-regulation ability. Exploring the land–surface energy balance and the water/heat transfer processes of such regions for water resource management purposes is critical. The processes of surface water and heat transfer throughout the desert ecosystems and the effects of environmental factors on the energy distribution remain poorly studied. In this study, we used an eddy covariance system and surface meteorological data (2019–2021) to investigate the characteristics of the energy balance of Dengkou Desert ecosystem located in Inner Mongolia, northern China. Also, we evaluated the effects of different environmental factors on the energy distribution in this desert ecosystem. We found that the temporal patterns of both sensible heat flux (H) and latent heat flux (LE) with time are consistent with that of net radiation (Rn), and Rn is dominated by H. The sum of the daily average soil heat flux during the observation period was positive, indicating that soil was a heat sink and that the atmosphere transfers heat to the soil. During the observation period, the energy distribution of H/Rn fluctuated greatly, presenting a general U-shaped trend, while LE/Rn presented an inverted V-shaped trend. The main factor affecting H was Rn, followed by saturated vapor pressure, air temperature (Ta), and relative humidity. For LE, the main influencing factors were Ta, and Rn. The energy closure of the half-hour flux in the Inner Mongolian desert ecosystem during the observation period was 48%–68%, and the energy balance ratio was 0.54–0.74. The energy closure at the daily scale was higher than that at the half-hour scale, and the energy closure during daytime was higher than that at night.

Energy Partitioning and Latent Heat Flux Driving Factors of the CAM Plant Pineapple (Ananas comosus (L.) Merril) Grown in the South Subtropical China

“…The sensible heat exchange is driven by the turbulent heat exchange coefficient and temperature gradients. A rougher underlying surface typically leads to greater temperature gradients and, consequently, higher H values [ 47 ]. Our study shows that H is the primary consumer of R n in pineapple fields, and similar results were observed in pineapple fields during the dry season in Venezuela [ 48 ], aligning with observations in various other ecosystems, including Pinus tabuliformis forests [ 49 ], plateau alpine meadow [ 50 ], semiarid shrublands [ 43 ], desert ecosystems [ 47 ] and Nopalea cochenillifera habitats [ 34 ].…”

“…A rougher underlying surface typically leads to greater temperature gradients and, consequently, higher H values [ 47 ]. Our study shows that H is the primary consumer of R n in pineapple fields, and similar results were observed in pineapple fields during the dry season in Venezuela [ 48 ], aligning with observations in various other ecosystems, including Pinus tabuliformis forests [ 49 ], plateau alpine meadow [ 50 ], semiarid shrublands [ 43 ], desert ecosystems [ 47 ] and Nopalea cochenillifera habitats [ 34 ]. It appears that these studies were in arid or semiarid ecosystems and that the water consumption (transpiration) intensity of these plants was relatively low.…”

Spatial–Temporal Characteristics of Freezing/Thawing Index and Permafrost Distribution in Heilongjiang Province, China

“…However, both the 0 • C isotherm and the minimum temperature of the MAGST occurred further north than the MAAT. The 0 • C isotherm of the multiyear MAAT in Heilongjiang Province was affected by altitude and was more scattered between 45 • and 51 • N; the 0 • C isotherm of the multiyear MAGST was between 50 • and 51 • N. The critical reason for the difference in the spatial distribution of MAAT and MAGST is the difference in heat exchange between the atmosphere and the surface due to the balance of energy at the surface [58][59][60][61]. Additionally, ground cover (e.g., vegetation and snow) is a critical factor for heat exchange [62,63].…”