What really drives Luvisol formation in tropical drylands?
Not illuviation — but argillation, intensified by rainfall.
New findings from NE Brazil reveal how climate shapes soil mineralogy and structure.
With @gracebalves & team.
🔗 Article: https://doi.org/10.1016/j.jsames.2024.105197
📝 Blog (EN): https://colapso.ggf.br/en/rain-as-a-driver-of-soil-transformation-in-brazils-semiarid-region/
#SoilScience #Luvisols #Pedogenesis #Semiarid #ClimateAndSoils
Fiber-Optic Seismic Sensing Of Vadose Zone Soil Moisture Dynamics
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https://doi.org/10.1038/s41467-024-50690-6 <-- shared paper
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[broadly, a 'seismic' listening technique could help researchers map water movement, moisture levels in soil, with these researchers at Caltech have figured out a way to use vibrations from passing cars to see how much water sits directly beneath the ground’s surface…]
#GIS #spatial #mapping #remotesensing #array #survey #soil #regolith #seismic #water #hydrology #waterresources #watersecurity #subsurface #vadose #vadosezone #soilmoisture #moisture #weather #precipitation #rainfall #surfacewater #groundwater #ecology #agriculture #ecosystems #spatiotemporal #model #modeling #spatialanalysis #fiberoptics #fibreoptics #evapotranspiration #insitu #climatechange #drought #extremeweather #watermanagement #semiarid #geophysics
New NIOO publication: #Soil elemental cycles become more coupled in response to increased #nitrogendeposition in a #semiarid #shrubland. #elementalcoupling #nutrientavailability #nutrients
https://doi.org/10.1007/s11104-024-06644-4
Soil elemental cycles become more coupled in response to increased nitrogen deposition in a semiarid shrubland - Plant and Soil

Background and aims Increased N deposition can break the coupled associations among chemical elements in soil, many of which are essential plant nutrients. We evaluated the effects of four years of N deposition (0, 10, 20, 50 kg N ha−1 yr−1) on the temporal dynamics of the spatial co-variation (i.e., coupling) among ten chemical elements in soils from a semiarid shrubland in central Spain. Methods Soil element coupling was calculated as the mean of Spearman rank correlation coefficients of all possible pairwise interactions among elemental cycles, in absolute value. We also investigated the role of atomic properties of elements as regulators of coupling. Results While N deposition impacts on nutrient bioavailability were variable, soil elemental coupling consistently increased in response to N. Coupling responses also varied among elements and N treatments, and four out of ten elemental cycles also responded to N in a season-dependent manner. Atomic properties of elements such as mass, valence orbitals, and electronegativity contributed to explain the spatial coupling of soil elements, most likely due their role on the capacity of elements to interact with one another. Conclusions The cumulative effects of N deposition can alter the spatial associations among chemical elements in soils, while not having evident consequences on the bioavailability of single elments. These results indicate that considering how multiple elements co-vary in topsoils may provide a useful framework to better understand the simultaneous response of multiple elemental cycles to global change.

SpringerLink

The start of the iconic Van Ryns pass.
One of the more spectacular passes in the Northern Cape rising out of the Knersvlakte (Grinding Flats) and into the Hanram Karoo

#pass
#VanRynsPass
#hantamkaroo
#knersvlakte
#NorthernCape
#MountainPass
#travel
#SemiArid
#R22
#Karoo
#photographoftheday
#photograph

High-Resolution, Integrated Hydrological Modeling of Climate Change Impacts on a Semi-Arid Urban Watershed in Niamey, Niger

This study evaluates the impact of climate change on water resources in a large, semi-arid urban watershed located in the Niamey Republic of Niger, West Africa. The watershed was modeled using the fully integrated surface–subsurface HydroGeoSphere model at a high spatial resolution. Historical (1980–2005) and projected (2020–2050) climate scenarios, derived from the outputs of three regional climate models (RCMs) under the regional climate projection (RCP) 4.5 scenario, were statistically downscaled using the multiscale quantile mapping bias correction method. Results show that the bias correction method is optimum at daily and monthly scales, and increased RCM resolution does not improve the performance of the model. The three RCMs predicted increases of up to 1.6% in annual rainfall and of 1.58 °C for mean annual temperatures between the historical and projected periods. The durations of the minimum environmental flow (MEF) conditions, required to supply drinking and agricultural water, were found to be sensitive to changes in runoff resulting from climate change. MEF occurrences and durations are likely to be greater from 2020–2030, and then they will be reduced for the 2030–2050 statistical periods. All three RCMs consistently project a rise in groundwater table of more than 10 m in topographically high zones, where the groundwater table is deep, and an increase of 2 m in the shallow groundwater table.

MDPI
Today, Martí Perpinyà presented his research on quantification of #CarbonStocks at the individual #tree level from #EO #remotesensing at
the European Geosciences Union

Amazing work, Martí! 🧑‍💼🎓
#EGU23 #semiarid #Africa