Salvatore Calabrese

About

Salvatore Calabrese is an Assistant Professor in the Department of Biological and Agricultural Engineering at Texas A&M University. His research addresses critical environmental challenges related to the impact of climatic changes and land management practices on the hydrologic cycle and the spatiotemporal dynamics of carbon and nutrient cycles in soil and throughout the Critical Zone. He develops mathematical models to quantify the sensitivity of hydrologic and biogeochemical cycles to environmental changes in natural and agricultural ecosystems, exploring innovative land management strategies for sustainability at both local and global scales. Calabrese's multidisciplinary approach integrates hydrology, biology, biogeochemistry, dynamical system theory, stochastic processes, and thermodynamics to study the interaction between human activities and ecosystems holistically. His current projects focus on the interaction between the carbon cycle, soil structure and properties, soil moisture dynamics, sustainable agricultural practices, large-scale water and carbon cycle interactions, soil microbial modeling, and enhanced weathering as a negative emissions technology. He has received several awards, including the Vice Chancellor's Award in Excellence for Early Career Research in 2024 and the Embassy of Italy Award, ISSNAF Young Investigator Awards in 2022.

Research topics

• Environmental science
• Geology
• Chemistry
• Geography
• Earth science
• Cartography
• Geomorphology
• Environmental chemistry
• Biology
• Ecology

Selected publications

• Nano- to Global-Scale Uncertainties in Terrestrial Enhanced Weathering

  Environmental Science & Technology · 2022 · 81 citations

  1st authorCorresponding

  removal, as well as on the importance of seamlessly coordinating EW with cropland and forest management.

  DOI

• Critical inundation level for methane emissions from wetlands

  Environmental Research Letters · 2021 · 56 citations

  1st authorCorresponding

  Abstract Global methane (CH 4 ) emissions have reached approximately 600 Tg per year, 20%–40% of which are from wetlands. Of the primary factors affecting these emissions, the water table level is among the most uncertain. Here we conduct a global meta-analysis of chamber and flux-tower observations of CH 4 emissions and employ a novel mechanistic model to show that wetlands have maximum emissions at a critical level of inundation and discuss its origin. This maximum arises from an interplay bet…

  PublisherDOI

• The role of hydrology on enhanced weathering for carbon sequestration I. Modeling rock-dissolution reactions coupled to plant, soil moisture, and carbon dynamics

  Advances in Water Resources · 2021 · 43 citations

  DOI

• Advancing Enhanced Weathering Modeling in Soils: Critical Comparison With Experimental Data

  Journal of Advances in Modeling Earth Systems · 2024-12-29 · 8 citations

  articleOpen access

  Abstract Enhanced weathering (EW) is a promising strategy to remove atmospheric by amending agricultural and forestry soils with ground silicate rocks. However, current model‐based EW assessments face large uncertainties stemming from the intricate interplay among soil processes, compounded by the absence of a detailed comparison with available observational data. Here, we address this critical gap by first advancing a dynamic, ecohydrological, and biogeochemical Soil Model for Enhanced Weatheri…

  PublisherOA PDFDOI

• Classifying the potential for soil organic carbon gain under regenerative agriculture

  Environmental Research Letters · 2025-03-19 · 4 citations

  articleOpen accessSenior author

  Abstract Regenerative agriculture is pivotal for mitigating climate change, with no-tillage practices on cropland being generally effective at raising soil organic carbon (SOC). Yet, our understanding of the compound impact of soil and environmental factors on SOC gain potential after transitioning to no-till practices is still developing. Using imbalanced machine learning classification, here we quantify key thresholds to hierarchically classify SOC gain potential by switching from conventional…

  PublisherOA PDFDOI

Recent grants

• MSA: Self-organizing principles for upscaling ecosystem water and heterotrophic carbon fluxes

  NSF · $200k · 2022–2026

Frequent coauthors

• Amilcare Porporato

  Princeton University

  57 shared

• Giuseppe Cipolla

  University of Palermo

  25 shared

• Leonardo Noto

  University of Palermo

  17 shared

• Matteo B. Bertagni

  Polytechnic University of Turin

  17 shared

• Rodolfo Souza

  15 shared

• Jun Yin

  South China Agricultural University

  8 shared

• Nandita Gaur

  University of Georgia

  6 shared

• Vinit Sehgal

  6 shared

Labs

• Calabrese, Salvatore - Department of Biological and Agricultural EngineeringPI

Education

• B.S., Civil and Environmental Engineering

  University of Palermo (Italy)

  2012

• M.S., Environmental Engineering

  University of Palermo (Italy)

  2014

• Ph.D., Civil and Environmental Engineering

  Princeton University (USA)

  2019

Awards & honors

• 2024 Vice Chancellor's Award in Excellence for Early Career…
• 2022 Embassy of Italy Award, ISSNAF Young Investigator Award…
• 2022 New Innovator in Food and Agriculture Research Award (F…

Similar researchers at Texas A&M University

• Vijay Singhh-101
• Binayak Mohantyh-51
• Rosana Moreirah-42