Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Thomas Higginbottom

Biographic Data

ID6927287
NAMEThomas Higginbottom
GIVEN NAMESThomas
FAMILY NAMEHigginbottom
SIGNATUREHIGGINBOTTOM T
AFFILIATIONSUniversity of Manchester
ORCID0000-0003-1150-1444
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS1
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2022
H-INDEX1
  • Rapid expansion of irrigated agriculture in the Senegal River Valley following the 2008 food price crisis

    Open Access•Thomas Higginbottom, Roshan Adhikari et al.•ARTICLE•Environmental Research Letters•2022

    The expansion of irrigated croplands throughout the 20th century boosted global agricultural productivity, yet limited improvement occurred in sub-Saharan Africa where many irrigation schemes and policies under-delivered. We mapped the distribution of croplands under active irrigation between 1986 and 2020 for one of Africa’s largest and most important transboundary river basins—the Senegal River Valley; using Landsat imagery with a random forest…

  • Performance of large-scale irrigation projects in sub-Saharan Africa

    Open Access•Thomas Higginbottom, Roshan Adhikari et al.•ARTICLE•Nature Sustainability•2021•Cited by: 1•References: 15

  • Weather dataset choice introduces uncertainty to estimates of crop yield responses to climate variability and change

    Open Access•Ben Parkes, Thomas Higginbottom et al.•ARTICLE•Environmental Research Letters•2019

    Weather shocks, such as heatwaves, droughts, and excess rainfall, are a major cause of crop yield losses and food insecurity worldwide. Statistical or process-based crop models can be used to quantify how yields will respond to these events and future climate change. However, the accuracy of weather-yield relationships derived from crop models, whether statistical or process-based, is dependent on the quality of the underlying input data used to …

  • Performance of large-scale irrigation projects in sub-Saharan Africa

    Open Access•Thomas Higginbottom, Roshan Adhikari et al.•ARTICLE•Nature Sustainability•2021•Cited by: 1•References: 15

  • Weather dataset choice introduces uncertainty to estimates of crop yield responses to climate variability and change

    Open Access•Ben Parkes, Thomas Higginbottom et al.•ARTICLE•Environmental Research Letters•2019

    Weather shocks, such as heatwaves, droughts, and excess rainfall, are a major cause of crop yield losses and food insecurity worldwide. Statistical or process-based crop models can be used to quantify how yields will respond to these events and future climate change. However, the accuracy of weather-yield relationships derived from crop models, whether statistical or process-based, is dependent on the quality of the underlying input data used to …

  • Performance of large-scale irrigation projects in sub-Saharan Africa

    Open Access•Thomas Higginbottom, Roshan Adhikari et al.•ARTICLE•Nature Sustainability•2021•Cited by: 1•References: 15

  • Rapid expansion of irrigated agriculture in the Senegal River Valley following the 2008 food price crisis

    Open Access•Thomas Higginbottom, Roshan Adhikari et al.•ARTICLE•Environmental Research Letters•2022

    The expansion of irrigated croplands throughout the 20th century boosted global agricultural productivity, yet limited improvement occurred in sub-Saharan Africa where many irrigation schemes and policies under-delivered. We mapped the distribution of croplands under active irrigation between 1986 and 2020 for one of Africa’s largest and most important transboundary river basins—the Senegal River Valley; using Landsat imagery with a random forest…

Agriculture (3 works) · Geography (3 works) · Agricultural economics (2 works) · Economic growth (2 works) · Economics (2 works) · Environmental Science (2 works) · Irrigation (2 works) · Land Rights and Reforms (2 works) · Productivity (2 works) · Agricultural policy (1 works)

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