Key Hydrological Processes and Its Controlling Factors in Terrestrial Ecosystems

A special issue of Land (ISSN 2073-445X). This special issue belongs to the section "Land Systems and Global Change".

Deadline for manuscript submissions: 18 July 2024 | Viewed by 686

Special Issue Editors


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Guest Editor
School of Ecology and Environment, Hainan University, Haikou 570228, China
Interests: soil water retention; soil infiltration; land degradation; plant water use strategies

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Guest Editor
Qinghai Provincial Key Laboratory of Restoration Ecology for Cold Region, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, China
Interests: grassland degradation; hydrologic process; water cycle; water conservation function
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Faculty of Forestry and Environmental Management, University of New Brunswick, Fredericton, NB E3B 5A3, Canada
Interests: hydrological processes in landscapes; vegetation and land interaction with the atmosphere; biospheric fluxes in deserts, shrub land, and forests

Special Issue Information

Dear Colleagues,

Terrestrial ecosystems are among the most complex and critical ecosystems on Earth, harboring abundant biodiversity and providing essential ecosystem services. Hydrological processes play an important role in terrestrial ecosystems, affecting water cycling, nutrient cycling, and energy flow; therefore, understanding and studying the hydrological processes inherent to terrestrial ecosystems is crucial for the conservation and management of these ecosystems, improving water resource utilization, and maintaining ecological balance.

This Special Issue aims to explore the key hydrological processes occurring in terrestrial ecosystems and how they influence ecosystem dynamics, water availability, and ecosystem services. We seek to cover various aspects of hydrology, including water infiltration, runoff, evapotranspiration, groundwater recharge, and their interactions with ecological processes and land management. The specific research content can include, but is not limited to:

  1. Land-use or land-cover change impacts on hydrological processes: Investigating the effects of land-use or land-cover change on hydrological processes in terrestrial ecosystems, such as precipitation, evapotranspiration, infiltration, and runoff, to enhance understanding of terrestrial water cycling.
  2. Soil–sediment–hydro-ecological processes at multiple scale: Studying the interaction between soils and sediments and hydro-ecological processes at multiple scales in terrestrial ecosystems.
  3. Forest disturbance impacts on hydrological processes: Investigating the effects of forest disturbance, such land degradation or forest fires, on hydrological processes related to ecosystem services, providing scientific evidence for land management and conservation.
  4. Hydrological processes and climate change adaptation: Exploring the impact of climate change on hydrological processes in terrestrial ecosystems, studying the response and potential of hydrological processes in adapting to and mitigating climate change.

Dr. Licong Dai
Dr. Xiaowei Guo
Prof. Dr. Charles Bourque
Guest Editors

Manuscript Submission Information

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Keywords

  • hydrological processes
  • water infiltration
  • runoff
  • evapotranspiration
  • groundwater recharge
  • soil water retention
  • terrestrial ecosystems
  • land cover change

Published Papers (1 paper)

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Research

22 pages, 4786 KiB  
Article
Performance of a Set of Soil Water Retention Models for Fitting Soil Water Retention Data Covering All Textural Classes
by Ali Rasoulzadeh, Javad Bezaatpour, Javanshir Azizi Mobaser and Jesús Fernández-Gálvez
Land 2024, 13(4), 487; https://doi.org/10.3390/land13040487 - 09 Apr 2024
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Abstract
A clean environment is an essential component of sustainable development, which is based on a comprehensive understanding of the behavior of water, soil, and air. The soil water retention (SWR) curve is a crucial function that describes how soil retains water, playing a [...] Read more.
A clean environment is an essential component of sustainable development, which is based on a comprehensive understanding of the behavior of water, soil, and air. The soil water retention (SWR) curve is a crucial function that describes how soil retains water, playing a fundamental role in irrigation and drainage, soil conservation, as well as water and contaminant transport in the vadose zone. This study evaluates the accuracy, performance, and prediction capabilities of 15 SWR models. A total of 140 soil samples were collected from different sites, covering all textural classes. Standard suction tests, using both hanging column and ceramic pressure plate extractors, were conducted to compile the SWR databank. 15 SWR models were selected and fitted to the SWR data points. Soil texture, bulk density, and organic matter were used to determine their effect on the performance of the SWR models. The results indicate that the Tani and Russo models exhibit the lowest levels of accuracy and performance among the selected models. Based on the Akaike and Bayesian information criteria analysis, the van Genuchten model exhibits the lowest values among the selected models, with poor prediction capabilities in estimating the SWR curve. The significance test at the 0.05 level (95% confidence interval) shows that according to the calculated p-values for the Pearson correlation coefficient between RMSE and texture, the Brooks-Corey and van Genuchten models are poorly influenced by soil properties. The performance of the models is not significantly affected by the soil organic matter. Similarly, bulk density does not significantly affect model performance except for the Brooks–Corey, van Genuchten, Tani, and Russo models. Among the SWR models considered, the double exponential, Groenevelt and Grant, and Khlosi et al. models demonstrate superior accuracy and performance in predicting the SWR curve. This is supported by lower values for RMSE, Akaike, and Bayesian information criteria. Full article
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