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Salvatore Calabrese

Biographic Data

ID7992676
NAMESalvatore Calabrese
GIVEN NAMESSalvatore
FAMILY NAMECalabrese
SIGNATURECALABRESE S
AFFILIATIONSTexas A&M University
ORCID0000-0002-9997-9778
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Classifying the potential for soil organic carbon gain under regenerative agriculture

    Open Access•Shashank Kumar Anand, Rishabh Singh et al.•ARTICLE•Environmental Research Letters•2025

    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…

  • Widespread temporal and spatial variability in net ecosystem productivity under climate change

    Open Access•Heng Huang, I Rodriguez‐Iturbe et al.•ARTICLE•One Earth•2024

  • Critical inundation level for methane emissions from wetlands

    Open Access•Salvatore Calabrese, Alicia Garcia et al.•ARTICLE•Environmental Research Letters•2021

    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. …

No prominent works on this page.

  • Critical inundation level for methane emissions from wetlands

    Open Access•Salvatore Calabrese, Alicia Garcia et al.•ARTICLE•Environmental Research Letters•2021

    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. …

  • Widespread temporal and spatial variability in net ecosystem productivity under climate change

    Open Access•Heng Huang, I Rodriguez‐Iturbe et al.•ARTICLE•One Earth•2024

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

    Open Access•Shashank Kumar Anand, Rishabh Singh et al.•ARTICLE•Environmental Research Letters•2025

    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…

Biology (3 works) · Ecology (3 works) · Environmental Science (3 works) · Chemistry (2 works) · Geography (2 works) · Geology (2 works) · Aerenchyma (1 work) · Agricultural engineering (1 work) · Agriculture (1 work) · Agriculture Sustainability and Environmental Impact (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae