4.7 Article

The role of biological soil crusts in soil moisture dynamics in two semiarid ecosystems with contrasting soil textures

Journal

JOURNAL OF HYDROLOGY
Volume 489, Issue -, Pages 74-84

Publisher

ELSEVIER
DOI: 10.1016/j.jhydrol.2013.02.051

Keywords

Cyanobacteria; Lichen; Scalped soil; Soil moisture; Soil water loss

Funding

  1. Spanish Ministry of Science and Technology
  2. European Union ERDF under BACARCOS [CGL2011-29429]
  3. European Union ERDF under CARBORAD [CGL2011-27493]
  4. Junta de Andalucia (Andalusian Regional Govt.) Ministry of Innovation, Science and Business under COSTRAS [RNM-3614]
  5. Junta de Andalucia (Andalusian Regional Govt.) Ministry of Innovation, Science and Business under GEOCARBO [RNM-3721]
  6. ERDF
  7. Spanish Government [BES-2007-15218]

Ask authors/readers for more resources

The interplant soil surfaces in most arid and semiarid ecosystems are covered by biological soil crusts (BSCs). These crusts regulate water inputs and losses through soils and play major roles in local hydrological regimes. In recent years, the role of BSCs in infiltration and runoff has gained increasing importance and better knowledge of their effects on these processes has been acquired. However, the role of BSCs in other important components of the water balance, such as evaporation or soil moisture has hardly been studied, so their effects on these processes remain unknown. The aim of this study was to explore the influence of BSCs on soil moisture regimes in the top layer of the soil in two semiarid ecosystems in SE Spain with different particle-size distributions. At both study sites, soil moisture was monitored at 0.03 and 0.10 m under two types of BSCs, a cyanobacteria-dominated BSC and a lichen-dominated BSC, and in adjacent soils where they had been removed. Our results showed that during wet soil periods, removal of BSCs led to decreased soil moisture, especially in the upper layer (0.03 m), compared to soils covered by BSCs. Decrease in soil moisture was more noticeable after removal of lichens than cyanobacterial BSCs, and more so in fine than in coarse-textured soils. Soil water loss was also generally faster in soils with no BSCs than in soils covered by them. However, no difference was found in soil moisture under either crusted or scalped soils during soil drying periods. The type of BSC influenced soil moisture differently depending on soil water content. During wet soil periods, soil water loss was faster and soil moisture lower under cyanobacterial than under lichen BSCs. On the contrary, during soil drying periods, soils covered by lichens lost water faster and showed lower moisture than those covered by cyanobacteria. Our results show the major role of the presence of BSCs, as well as the types, in soil water content in semiarid ecosystems. (C) 2013 Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Geosciences, Multidisciplinary

Effect of water availability on induced cyanobacterial biocrust development

J. R. Roman, B. Roncero-Ramos, E. Rodriguez-Caballero, S. Chamizo, Y. Canton

Summary: This study investigated the effects of water availability on induced biocrust growth in different degraded soils, showing that cyanobacteria inoculation can improve cover, SOC, and EPS gains. The irrigation regime significantly affected cyanobacteria cover, Chla spectral absorption, and EPS, with N. commune performing particularly well under dry conditions.

CATENA (2021)

Article Soil Science

Overcoming field barriers to restore dryland soils by cyanobacteria inoculation

J. R. Roman, S. Chamizo, B. Roncero-Ramos, A. Adessi, R. De Philippis, Y. Canton

Summary: The inoculation of cyanobacteria promotes soil improvement, with better results seen when the soil is covered with a vegetal mesh, enhancing cyanobacterial colonization and soil aggregation. Developing diversified efficient habitat amelioration strategies may be key in the successful application of this restoration technique in the field.

SOIL & TILLAGE RESEARCH (2021)

Article Geography, Physical

Mediterranean badlands: Their driving processes and climate change futures

Estela Nadal-Romero, Emilio Rodriguez-Caballero, Sonia Chamizo, Carmelo Juez, Yolanda Canton, Jose M. Garcia-Ruiz

Summary: Badlands are found worldwide in both dry and wet environments, and are characterized by intense erosion processes and extreme sediment yield. Climate change is expected to have direct and indirect effects on badland dynamics in the future, with potential improvements in water resources and vegetation growth.

EARTH SURFACE PROCESSES AND LANDFORMS (2022)

Article Environmental Sciences

Non-Destructive Biomass Estimation in Mediterranean Alpha Steppes: Improving Traditional Methods for Measuring Dry and Green Fractions by Combining Proximal Remote Sensing Tools

Borja Rodriguez-Lozano, Emilio Rodriguez-Caballero, Lisa Maggioli, Yolanda Canton

Summary: The Mediterranean region is facing stronger warming effects, leading to negative impacts on productivity, biodiversity, and ecosystem stability. A new non-destructive methodology using TLS point clouds and spectral information has been proposed to monitor AGB and GB dynamics, showing improved results compared to traditional field-based measurements.

REMOTE SENSING (2021)

Article Soil Science

Biocrusts and catchment asymmetry in Tabernas Desert (Almeria, Spain)

Roberto Lazaro, Adolfo Calvo-Cases, Emilio Rodriguez-Caballero, Eva Arnau-Rosalen, Roy Alexander, Consuelo Rubio, Yolanda Canton, Albert Sole-Benet, Juan Puigdefabregas

Summary: Catchment asymmetry is a common global phenomenon, influenced by topography, vegetation, and abiotic factors. In the Tabernas Desert, biocrusts play a crucial role in stabilizing the surface, promoting vegetation growth, and protecting against water erosion, resulting in the formation of asymmetry.

GEODERMA (2022)

Article Ecology

Design Optimization of Biocrust-Plant Spatial Configuration for Dry Ecosystem Restoration Using Water Redistribution and Erosion Models

Lisa Maggioli, Emilio Rodriguez-Caballero, Yolanda Canton, Borja Rodriguez-Lozano, Sonia Chamizo

Summary: Land degradation is a major threat to the sustainability of drylands in the coming decades. Restoring degraded land is urgently needed to maintain ecosystem functionality and ecosystem services. Optimizing the spatial configuration of biocrusts and plants can increase the success of dryland restoration.

FRONTIERS IN ECOLOGY AND EVOLUTION (2022)

Article Plant Sciences

Biocrusts increase the resistance to warming-induced increases in topsoil P pools

Laura Garcia-Velazquez, Antonio Gallardo, Victoria Ochoa, Beatriz Gozalo, Roberto Lazaro, Fernando T. Maestre

Summary: This study investigates the impacts of temperature warming, rainfall reduction, and biocrust cover on soil phosphorus (P) pools in drylands. It finds that warming increases most P pools, except occluded P, while rainfall reduction has no effect on soil P pools. Biocrusts enhance soil P pools and provide resilience against warming and rainfall reduction.

JOURNAL OF ECOLOGY (2022)

Article Geosciences, Multidisciplinary

Global cycling and climate effects of aeolian dust controlled by biological soil crusts

E. Rodriguez-Caballero, T. Stanelle, S. Egerer, Y. Cheng, H. Su, Y. Canton, J. Belnap, M. O. Andreae, I Tegen, C. H. Reick, U. Poeschl, B. Weber

Summary: Biological soil crusts play a significant role in stabilizing the soil surface of drylands. However, quantitative information on their impact on global dust cycling and climate effects is limited. This study reveals that biocrusts reduce global atmospheric dust emissions by approximately 60% and prevent the release of about 0.7 Pg dust per year. However, due to climate change and land-use intensification, the coverage of biocrusts is expected to be severely reduced by 2070, leading to increased dust burden and a reduction in the global radiation budget. These findings emphasize the importance of considering the control of biocrusts on dust cycling and its climate impacts in modeling, mitigation, and management of global change.

NATURE GEOSCIENCE (2022)

Article Environmental Sciences

Water vapor adsorption by dry soils: A potential link between the water and carbon cycles

Clement Lopez-Canfin, Roberto Lazaro, Enrique P. Sanchez-Canete

Summary: This study aimed to explore the impact of water vapor adsorption by soil in drylands on the water cycle, carbon cycle, and ecosystem processes. Through field observations and statistical modeling, the study found that water vapor adsorption had higher fluxes during hot and dry periods, and exhibited a diel coupling with CO2 fluxes. Additionally, the study found that the specific surface area of soil in early succession stages was related to increased CO2 influx.

SCIENCE OF THE TOTAL ENVIRONMENT (2022)

Article Biodiversity Conservation

Ecosystem CO2 release driven by wind occurs in drylands at global scale

Maria Rosario Moya, Ana Lopez-Ballesteros, Enrique P. Sanchez-Canete, Penelope Serrano-Ortiz, Cecilio Oyonarte, Francisco Domingo, Andrew S. Kowalski

Summary: This study provides clear empirical evidence of globally occurring subterranean ventilation events, shedding light on the overlooked role they play in the global carbon cycle, particularly in arid and semi-arid regions. Understanding and further studying these events are crucial for validating remote sensing products, constraining models, and estimating the impact of biological CO2 exchanges on the global ecosystem carbon balance.

GLOBAL CHANGE BIOLOGY (2022)

Article Environmental Sciences

Opportunistic vegetation in quarry soil restoration from semiarid South East Spain: Pines and spontaneous species

Lourdes Luna, Roberto Lazaro, Isabel Miralles, Albert Sole-Benet

Summary: The study aimed to investigate the effects of organic amendments on vegetation growth and soil properties in a restored quarry. The results showed that organic amendments significantly influenced vegetation cover, diversity, and pine growth.

LAND DEGRADATION & DEVELOPMENT (2022)

Article Agronomy

Coupling Sewage Sludge Amendment with Cyanobacterial Inoculation to Enhance Stability and Carbon Gain in Dryland Degraded Soils

Lisa Maggioli, Sonia Chamizo, Raul Roman, Carlos Asensio-Grima, Yolanda Canton

Summary: Sewage sludge (SS) is widely used as a soil conditioner due to its high content of organic matter and nutrients. This study found that cyanobacteria growth increased in soil amended with low concentrations of composted SS, while higher SS concentrations decreased cyanobacteria growth. However, SS significantly enhanced soil organic carbon gain and tightly-bound exopolysaccharide content. Cyanobacteria inoculation improved soil stability and had the potential for salt immobilization and soil bioremediation.

AGRICULTURE-BASEL (2022)

Article Microbiology

Biocrusts intensify water redistribution and improve water availability to dryland vegetation: insights from a spatially-explicit ecohydrological model

Selina Baldauf, Yolanda Canton, Britta Tietjen

Summary: Biocrusts play a crucial role in shaping dryland ecosystems through their ecohydrological effects. In this study, a spatially-explicit process-based ecohydrological model was used to assess how biocrusts influence water fluxes and availability in a dryland landscape, and how climate change-induced shifts in the biocrust community affect landscape hydrology. The results showed that biocrusts increase water availability in the landscape, even in dry years. Well-developed biocrusts protect soil from evaporation and redistribute water towards downhill vegetation, highlighting their importance in water redistribution and plant-available water. However, potential changes in biocrust composition and cover could reduce their ability to act as water sources and sustain dryland vegetation.

FRONTIERS IN MICROBIOLOGY (2023)

Article Water Resources

New methodological approach to characterize dryland′s ecohydrological functionality on the basis of Balance between Connectivity and potential Water Retention Capacity (BalanCR)

Borja Rodriguez-Lozano, Juan Martinez-Sanchez, Jaime Maza-Maza, Yolanda Canton, Emilio Rodriguez-Caballero

Summary: In this study, a new methodology for characterizing the functioning of dryland ecosystems based on the balance between runoff connectivity and water retention capacity of vegetation was proposed. The method was tested on synthetic hillslopes and real hillslopes and showed good ability to assess ecohydrological interactions in drylands. This metric represents a promising tool for evaluating dryland conditions and incorporating hillslope processes in climate change models.

JOURNAL OF HYDROLOGY AND HYDROMECHANICS (2023)

Article Engineering, Civil

Reconstructing high-resolution groundwater level data using a hybrid random forest model to quantify distributed groundwater changes in the Indus Basin

Arfan Arshad, Ali Mirchi, Javier Vilcaez, Muhammad Umar Akbar, Kaveh Madani

Summary: High-resolution, continuous groundwater data is crucial for adaptive aquifer management. This study presents a predictive modeling framework that incorporates covariates and existing observations to estimate groundwater level changes. The framework outperforms other methods and provides reliable estimates for unmonitored sites. The study also examines groundwater level changes in different regions and highlights the importance of effective aquifer management.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Hydrological modelling of large-scale karst-dominated basin using a grid-based distributed karst hydrological model

Lihua Chen, Jie Deng, Wenzhe Yang, Hang Chen

Summary: A new grid-based distributed karst hydrological model (GDKHM) is developed to simulate streamflow in the flood-prone karst area of Southwest China. The results show that the GDKHM performs well in predicting floods and capturing the spatial variability of karst system.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Using a physics-based hydrological model and storm transposition to investigate machine-learning algorithms for streamflow prediction

Faruk Gurbuz, Avinash Mudireddy, Ricardo Mantilla, Shaoping Xiao

Summary: Machine learning algorithms have shown better performance in streamflow prediction compared to traditional hydrological models. In this study, researchers proposed a methodology to test and benchmark ML algorithms using artificial data generated by physically-based hydrological models. They found that deep learning algorithms can correctly identify the relationship between streamflow and rainfall in certain conditions, but fail to outperform traditional prediction methods in other scenarios.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Uncertainty separation of drought projection in the 21st century using SMILEs and CMIP6

Yadong Ji, Jianyu Fu, Bingjun Liu, Zeqin Huang, Xuejin Tan

Summary: This study distinguishes the uncertainty in drought projection into scenario uncertainty, model uncertainty, and internal variability uncertainty. The results show that the estimation of total uncertainty reaches a minimum in the mid-21st century and that model uncertainty is dominant in tropical regions.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Quantifying the natural flood management potential of leaky dams in upland catchments, Part II: Leaky dam impacts on flood peak magnitude

Z. R. van Leeuwen, M. J. Klaar, M. W. Smith, L. E. Brown

Summary: This study quantifies the effectiveness of leaky dams in reducing flood peak magnitude using a transfer function noise modelling approach. The results show that leaky dams have a significant but highly variable impact on flood peak magnitude, and managing expectations should consider event size and type.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Forecasting and optimization for minimizing combined sewer overflows using Machine learning frameworks and its inversion techniques

Zeda Yin, Yasaman Saadati, M. Hadi Amini, Linlong Bian, Beichao Hu

Summary: Combined sewer overflows pose significant threats to public health and the environment, and various strategies have been proposed to mitigate their adverse effects. Smart control strategies have gained traction due to their cost-effectiveness but face challenges in balancing precision and computational efficiency. To address this, we propose exploring machine learning models and the inversion of neural networks for more efficient CSO prediction and optimization.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Characterizing nitrogen dynamics and their response to sediment dredging in a lowland rural river

Qimou Zhang, Jiacong Huang, Jing Zhang, Rui Qian, Zhen Cui, Junfeng Gao

Summary: This study developed a N-cycling model for lowland rural rivers covered by macrophytes and investigated the N imports, exports, and response to sediment dredging. The findings showed a considerable N retention ability in the study river, with significant N imports from connected rivers and surrounding polders. Sediment dredging increased particulate nitrogen resuspension and settling rates, while decreasing ammonia nitrogen release, denitrification, and macrophyte uptake rates.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Using a two-step downscaling method to assess the impact of climate change on total nitrogen load in a small basin

Xue Li, Yingyin Zhou, Jian Sha, Man Zhang, Zhong-Liang Wang

Summary: High-resolution climate data is crucial for predicting regional climate and water environment changes. In this study, a two-step downscaling method was developed to enhance the spatial resolution of GCM data and improve the accuracy for small basins. The method combined medium-resolution climate data with high-resolution topographic data to capture spatial and temporal details. The downscaled climate data were then used to simulate the impacts of climate change on hydrology and water quality in a small basin. The results demonstrated the effectiveness of the downscaling method for spatially differentiated simulations.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Permafrost on the Tibetan Plateau is degrading: Historical and projected trends

Tongqing Shen, Peng Jiang, Jiahui Zhao, Xuegao Chen, Hui Lin, Bin Yang, Changhai Tan, Ying Zhang, Xinting Fu, Zhongbo Yu

Summary: This study evaluates the long-term interannual dynamics of permafrost distribution and active layer thickness on the Tibetan Plateau, and predicts future degradation trends. The results show that permafrost area has been decreasing and active layer thickness has been increasing, with an accelerated degradation observed in recent decades. This has significant implications for local water cycle processes, water ecology, and water security.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Quantifying precipitation moisture contributed by different atmospheric circulations across the Tibetan Plateau

Chi Zhang, Xu Zhang, Qiuhong Tang, Deliang Chen, Jinchuan Huang, Shaohong Wu, Yubo Liu

Summary: Precipitation over the Tibetan Plateau is influenced by systems such as the Asian monsoons, the westerlies, and local circulations. The Indian monsoon, the westerlies, and local circulations are the main systems affecting precipitation over the entire Tibetan Plateau. The East Asian summer monsoon primarily affects the eastern Tibetan Plateau. The Indian monsoon has the greatest influence on precipitation in the southern and central grid cells, while the westerlies have the greatest influence on precipitation in the northern and western grid cells. Local circulations have the strongest influence on the central and eastern grid cells.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

A methodology to improve the accuracy of Total phosphorous diffuse load estimates from agroforestry watersheds

Manuel Almeida, Antonio Rodrigues, Pedro Coelho

Summary: This study aimed to improve the accuracy of Total Phosphorus export coefficient models, which are essential for water management. Four different models were applied to 27 agroforestry watersheds in the Mediterranean region. The modeling approach showed significant improvements in predicting the Total Phosphorus diffuse loads.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Prediction of dissolved organic nitrogen via spectroscopic fingerprint in the shallow riverbed sediments of effluent-dominated rivers: A case study in Xi'an, northwest China

Yutao Wang, Haojie Yin, Ziyi Wang, Yi Li, Pingping Wang, Longfei Wang

Summary: This study investigated the distribution and transformation of dissolved organic nitrogen (DON) in riverbed sediments impacted by effluent discharge. The authors found that the spectral characteristics of dissolved organic matter (DOM) in surface water and sediment porewater could be used to predict DON variations in riverbed sediments. Random forest and extreme gradient boosting machine learning methods were employed to provide accurate predictions of DON content and properties at different depths. These findings have important implications for wastewater discharge management and river health.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Uncertainty analysis of 100-year flood maps under climate change scenarios

Saba Mirza Alipour, Kolbjorn Engeland, Joao Leal

Summary: This study assesses the uncertainty associated with 100-year flood maps under different scenarios using Monte Carlo simulations. The findings highlight the importance of employing probabilistic approaches for accurate and secure flood maps, with the selection of probability distribution being the primary source of uncertainty in precipitation.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Hydrological consequences of controlled drainage with subirrigation

Janine A. de Wit, Marjolein H. J. van Huijgevoort, Jos C. van Dam, Ge A. P. H. van den Eertwegh, Dion van Deijl, Coen J. Ritsema, Ruud P. Bartholomeus

Summary: The study focuses on the hydrological consequences of controlled drainage with subirrigation (CD-SI) on groundwater level, soil moisture content, and soil water potential. The simulations show that CD-SI can improve hydrological conditions for crop growth, but the success depends on subtle differences in geohydrologic characteristics.

JOURNAL OF HYDROLOGY (2024)

Article Engineering, Civil

Understanding the global success criteria for managed aquifer recharge schemes

Constantin Seidl, Sarah Ann Wheeler, Declan Page

Summary: Water availability and quality issues will become increasingly important in the future due to climate change impacts. Managed Aquifer Recharge (MAR) is an effective water management tool, but often overlooked. This study analyzes global MAR applications and identifies the key factors for success, providing valuable insights for future design and application.

JOURNAL OF HYDROLOGY (2024)