Agent‐Based Modeling of Alternative Futures in the British Land Use System

Article Properties
  • Language
    English
  • DOI (url)
    10.1029/2022ef002905
  • Publication Date
    2022/11/01
  • Journal
    Earth's Future
  • Indian UGC (journal)
  • Refrences
    138
  • C. Brown Institute of Meteorology and Climate Research, Atmospheric Environmental Research (IMK‐IFU) Karlsruhe Institute of Technology Garmisch‐Partenkirchen Germany ORCID (unauthenticated)
  • B. Seo Institute of Meteorology and Climate Research, Atmospheric Environmental Research (IMK‐IFU) Karlsruhe Institute of Technology Garmisch‐Partenkirchen Germany
  • P Alexander School of Geosciences University of Edinburgh Edinburgh UK
  • V. Burton Forest Research Northern Research Station Midlothian UKWoodland Trust, Kempton Way Grantham UK
  • E. A. Chacón‐Montalván Mathematics and Statistics Department Fylde College, Lancaster University Lancaster UK
  • R. Dunford UK Centre for Ecology & Hydrology Maclean Building Wallingford UK
  • M. Merkle School of Geosciences University of Edinburgh Edinburgh UKSchool of Economics and Business Norwegian University of Life Sciences Bergen Norway ORCID (unauthenticated)
  • P. A. Harrison UK Centre for Ecology & Hydrology Lancaster UK ORCID (unauthenticated)
  • R. Prestele Institute of Meteorology and Climate Research, Atmospheric Environmental Research (IMK‐IFU) Karlsruhe Institute of Technology Garmisch‐Partenkirchen Germany
  • E. L. Robinson UK Centre for Ecology & Hydrology Maclean Building Wallingford UK ORCID (unauthenticated)
  • M. Rounsevell Institute of Meteorology and Climate Research, Atmospheric Environmental Research (IMK‐IFU) Karlsruhe Institute of Technology Garmisch‐Partenkirchen GermanySchool of Geosciences University of Edinburgh Edinburgh UKInstitute of Geography and Geo‐ecology Karlsruhe Institute of Technology Karlsruhe Germany
Abstract
Cite
Brown, C., et al. “Agent‐Based Modeling of Alternative Futures in the British Land Use System”. Earth’s Future, vol. 10, no. 11, 2022, https://doi.org/10.1029/2022ef002905.
Brown, C., Seo, B., Alexander, P., Burton, V., Chacón‐Montalván, E. A., Dunford, R., Merkle, M., Harrison, P. A., Prestele, R., Robinson, E. L., & Rounsevell, M. (2022). Agent‐Based Modeling of Alternative Futures in the British Land Use System. Earth’s Future, 10(11). https://doi.org/10.1029/2022ef002905
Brown C, Seo B, Alexander P, Burton V, Chacón‐Montalván EA, Dunford R, et al. Agent‐Based Modeling of Alternative Futures in the British Land Use System. Earth’s Future. 2022;10(11).
Journal Categories
Geography
Anthropology
Recreation
Environmental sciences
Science
Biology (General)
Ecology
Science
Geology
Science
Physics
Meteorology
Climatology
Technology
Environmental technology
Sanitary engineering
Refrences
Title Journal Journal Categories Citations Publication Date
Imitative versus nonimitative strategies in a land‐use simulation 2001
Achievements and needs for the climate change scenario framework 2020
Modelling drivers of Brazilian agricultural change in a telecoupled world 2021
Simplistic understandings of farmer motivations could undermine the environmental potential of the common agricultural policy 2020
UKCP18 land projections: Science report 2018