biblio_database.bib

@article{Tau,
  title         = {Measuring agricultural land-use intensity--A global analysis using a model-assisted approach},
  author        = {Dietrich, Jan Philipp and Schmitz, Christoph and M{\"u}ller, Christoph and Fader, Marianela and Lotze-Campen, Hermann and Popp, Alexander},
  journal       = {Ecological Modelling},
  volume        = {232},
  pages         = {109--118},
  year          = {2012},
  publisher     = {Elsevier},
}

@misc{AQUASTAT,
  author       = {Food and Agriculture Organization of the United Nations (FAO)},
  title        = {AQUASTAT - FAO's Global Information System on Water and Agriculture},
  year         = {2021},
  howpublished = {\url{https://www.fao.org/aquastat/en/}},
  note         = {Accessed: 2025-10-23}
}

@misc{FAO_online,
  author       = {Food and Agriculture Organization of the United Nations (FAO)},
  title        = {FAOSTAT - Food and agriculture data},
  year         = {2025},
  howpublished = {\url{https://www.fao.org/faostat/en/#home}},
  note         = {Accessed: 2025-10-23}
}

@misc{FRA2020,
author      = {Food and Agriculture Organization of the United Nations (FAO)},
title       = {A fresh perspective: Global Forest Resources Assessment 2020},
howpublished = {\url{https://www.fao.org/interactive/forest-resources-assessment/2020/en/
}},
}

@article{Herridge,
  title        = {Global inputs of biological nitrogen fixation in agricultural systems},
  author       = {Herridge, David F and Peoples, Mark B and Boddey, Robert M},
  journal      = {Plant and soil},
  volume       = {311},
  number       = {1},
  year         = {2008},
  publisher    = {Springer},
}

@article{James,
  title        = {Developing a comprehensive time series of GDP per capita for 210 countries from 1950 to 2015},
  author       = {James, Spencer L and Gubbins, Paul and Murray, Christopher JL and Gakidou, Emmanuela},
  journal      = {Population health metrics},
  volume       = {10},
  number       = {1},
  year         = {2012},
  publisher    = {Springer},
}


@article{Andrijevic2019,
  title        = {Governance in socioeconomic pathways and its role for future adaptive capacity},
  author       = {Andrijevic, Marina and Crespo Cuaresma, Jesus and Muttarak, Raya and Schleussner, Carl-Friedrich},
  journal      = {Nature Sustainability},
  volume       = {3},
  number       = {1},
  pages        = {35--41},
  year         = {2020},
  publisher    = {Nature Publishing Group UK London}
}

@misc{UN_PopDiv,
author      = {Department of Economic and Social Affairs Population Division, United Nations},
title       = {World Population Prospects},
howpublished = {\url{https://population.un.org/wpp/}},
}

@misc{TFPUSDA,
author      = {U. S. Department of Agriculture},
title       = {International Agricultural Productivity},
howpublished = {\url{https://www.ers.usda.gov/data-products/international-agricultural-productivity}},
}

@article{ForestLossDrivers,
  title     = {Classifying drivers of global forest loss},
  author    = {Curtis, Philip G and Slay, Christy M and Harris, Nancy L and Tyukavina, Alexandra and Hansen, Matthew C},
  journal   = {Science},
  volume    = {361},
  number    = {6407},
  pages     = {1108--1111},
  year      = {2018},
  publisher = {American Association for the Advancement of Science},
}

@misc{GFAD,
 author={Benjamin {Poulter} and Luiz {Arag\~{a}o} and Niels {Andela} and Valentin {Bellassen} and Philippe {Ciais} and Tomomichi {Kato} and Xin {Lin} and Baatarbileg {Nachin} and Sebastiaan {Luyssaert} and Niel {Pederson} and Philippe {Peylin} and Shilong {Piao} and Tom {Pugh} and Sassan {Saatchi} and Dmitry {Schepaschenko} and Martjan {Schelhaas} and Anatoly {Shivdenko}},
 title={{The global forest age dataset and its uncertainties (GFADv1.1)}},
 year={2019},
 doi={10.1594/PANGAEA.897392},
 url={https://doi.org/10.1594/PANGAEA.897392},
 organization={NASA National Aeronautics and Space Administration},
 abstract={The global forest age dataset (GFAD v.1.1) provides a correction to GFAD v1.0, as well as its uncertainties.\\
GFAD describes the age distributions of plant functional types (PFT) on a 0.5-degree grid. Each grid cell contains information on the fraction of each PFT within an age class. The four PFTs, needleaf evergreen (NEEV), needleleaf deciduous (NEDE), broadleaf evergreen (BREV) and broadleaf deciduous (BRDC) are mapped from the MODIS Collection 5.1 land cover dataset, crosswalking land cover types to PFT fractions. The source of data for the age distributions is from country-level forest inventory for temperate and high-latitude countries, and from biomass for tropical countries. The inventory and biomass data are related to fifteen age classes defined in ten-year intervals, from 1-10 up to a class greater than 150 years old.\\
The uncertainties are estimated for the inventory derived forest age classes as +/- 40{\%} of the mean age. For the areas where age is derived from aboveground biomass, the uncertainty is derived from the 5th and 95th percentile estimates of biomass, but using the same age-aboveground biomass curves.\\
The GFAD dataset represents the 2000-2010 era.},
 type={dataset},
 publisher={PANGAEA}
}


@misc{LUH3,
  author       = {University of Maryland, Land Use and Global Change Lab},
  title        = {UofMD-landState-3-1-1: Land use dataset for input4MIPs CMIP7},
  year         = {2025},
  howpublished = {\url{https://aims2.llnl.gov/search?project=input4MIPs&versionType=all&activeFacets={\"source_id\":\"UofMD-landState-3-1-1\"}}},
  note         = {Accessed: 2025-12-09}
}

@article{GridPopGao,
  author  = {Jones, B. and O'Neill, B. C.},
  title   = {Spatially explicit global population scenarios consistent with the Shared Socioeconomic Pathways},
  journal = {Environmental Research Letters},
  volume  = {11},
  number  = {8},
  pages   = {084003},
  year    = {2016},
  doi     = {10.1088/1748-9326/11/8/084003}
}

@misc{ISIMIPinputs,
  author       = {Wada, Yoshihide and Flörke, Martina and Hanasaki, Naota and Müller Schmied, Hannes and Gosling, Simon N. and Schewe, Jacob},
  title        = {ISIMIP3b water abstraction input data (v1.0)},
  year         = {2022},
  howpublished = {ISIMIP Repository},
  doi          = {10.48364/ISIMIP.478291},
  note         = {Available at: https://data.isimip.org; accessed: 2025-11-28}
}

@data{IFPRIsubsidy,
author = {AgIncentives Consortium},
publisher = {Harvard Dataverse},
title = {{Global Database on Nominal Rate of Assistance (NRA) 2021}},
UNF = {UNF:6:kxc0y+TlbEfonCK87lbsyg==},
year = {2023},
version = {V1},
doi = {10.7910/DVN/HSZMW0},
url = {https://doi.org/10.7910/DVN/HSZMW0}
}

@misc{IPCCClimate,
  author       = {European Commission, Joint Research Centre (JRC)},
  title        = {Climatic Zone layer (Support to Renewable Energy Directive)},
  year         = {2010},
  howpublished = {ESDAC — European Soil Data Centre, \url{https://esdac.jrc.ec.europa.eu/content/support-renewable-energy-directive}},
  note         = {Accessed:2025-11-18}
}


@misc{GridPopIsimip,
  author       = {Piontek, Franziska and Geiger, Tobias},
  title        = {ISIMIP2b population input data (histsoc, global gridded population, 1861–2005)},
  year         = {2017},
  howpublished = {ISIMIP Repository},
  doi          = {10.48364/ISIMIP.892838},
  note         = {Accessed: 2025-12-01; Dataset version 20210526; 5-arcmin and 0.5 resolution global population grids}
}

@misc{Koeppen,
  author       = {Rubel, Franz and Kottek, Michael and others},
  title        = {Köppen–Geiger Climate Classification — Global climate zone maps and data},
  howpublished = {Online at: \url{http://koeppen-geiger.vu-wien.ac.at/}},
  year         = {2023},
  note         = {Accessed: 2025-11-25}
}

@misc{Mehta2024Meier2018,
  author       = {Mehta, P. and Siebert, S. and Kummu, M. and others},
  title        = {Global Area Equipped for Irrigation Dataset 1900–2015},
  year         = {2023},
  howpublished = {Zenodo repository},
  doi          = {10.5281/zenodo.7809342},
  note         = {Accessed: 09 Dec 2025}
}

@misc{Mehta2024GMIA,
  author       = {Mehta, Piyush and Siebert, Stefan and Kummu, Matti and Deng, Qinyu and Ali, Tariq and Marston, Landon and Xie, Wei and Davis, Kyle F.},
  title        = {Global Area Equipped for Irrigation Dataset 1900–2015},
  year         = {2023},
  howpublished = {Zenodo repository},
  doi          = {10.5281/zenodo.7809342},
  note         = {Accessed: 09 Dec 2025}
}

@misc{PBL_MACC_2019,
  title        = {Supplementary Materials (mmc1.xlsx and mmc2.xlsx)},
  howpublished = {Electronic supplementary materials, Excel files},
  year         = {2019},
  url          = {https://ars.els-cdn.com/content/image/1-s2.0-S2352340919306882-mmc1.xlsx},
  note         = {Includes: mmc1.xlsx and mmc2.xlsx. Second file available at: https://ars.els-cdn.com/content/image/1-s2.0-S2352340919306882-mmc2.xlsx. Accessed: 2025-10-25}
}

@misc{TNC2019,
  title        = {ArcGIS Online Item — ID: b1636d640ede4d6ca8f5e369f2dc368b},
  howpublished = {ArcGIS Online, \url{https://www.arcgis.com/home/item.html?id=b1636d640ede4d6ca8f5e369f2dc368b}},
  year         = {2025},
  note         = {Accessed: 09 Dec 2025}
}

@misc{MissingIslands,
  author       = {Arujo, Ewerton and Bodirsky, Benjamin Leon and Crawford, Michael S. and Leip, Debbora and Dietrich, Jan},
  title        = {MissingIslands dataset for filling in data gaps from the WDI datasets},
  year         = {2021},
  howpublished = {Zenodo repository},
  doi          = {10.5281/zenodo.4421504},
  note         = {Accessed: 09 Dec 2025}
}

@article{SathayeForest,
  title={GHG mitigation potential, costs and benefits in global forests: a dynamic partial equilibrium approach},
  author={Sathaye, Jayant and Makundi, Willy and Dale, Larry and Chan, Peter and Andrasko, Kenneth},
  journal={The Energy Journal},
  volume={27},
  number={3\_suppl},
  pages={127--162},
  year={2006},
  publisher={SAGE Publications Sage CA: Los Angeles, CA}
}

@book{WBirrigation,
  title={The world bank and irrigation},
  author={Jones, William I},
  year={1995},
  publisher={World Bank Publications}
}