Peer-reviewed Publications
[1] Pereira HM, Martins IS, Rosa IMD, Kim H, Leadley P, Popp A, et al. Global trends and scenarios for terrestrial biodiversity and ecosystem services from 1900 to 2050. Science 2024;384:458–65. https://doi.org/10.1126/science.adn3441.
[2] Kim H, Peterson GD, Cheung WWL, Ferrier S, Alkemade R, Arneth A, et al. Towards a better future for biodiversity and people: Modelling Nature Futures. Glob Environ Change 2023;82:102681. https://doi.org/10.1016/j.gloenvcha.2023.102681.
[3] Rosa IMD, Purvis A, Alkemade R, Chaplin-Kramer R, Ferrier S, Guerra CA, et al. Challenges in producing policy-relevant global scenarios of biodiversity and ecosystem services. Glob Ecol Conserv 2020;22:e00886. https://doi.org/10.1016/j.gecco.2019.e00886.
[4] Kim H, Rosa IMD, Alkemade R, Leadley P, Hurtt G, Popp A, et al. A protocol for an intercomparison of biodiversity and ecosystem services models using harmonised land-use and climate scenarios. Geosci Model Dev 2018;11:4537–62. https://doi.org/10.5194/gmd-11-4537-2018.
Contributions to Policy
[1] IPBES. Global assessment report on biodiversity and ecosystem services of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services. Zenodo; 2019. https://doi.org/10.5281/ZENODO.5657041.
[2] IPBES. The methodological assessment report on scenarios and models of biodiversity and ecosystem services. Zenodo; 2016. https://doi.org/10.5281/zenodo.3235429.
BES-SIM 2 on GitHub
The BES-SIM 2 code and workflows are publicly available on GitHub to facilitate collaboration among contributors and track changes through version control over time, following FAIR principles. Upon publication, the repository will be archived on Zenodo to obtain a citable DOI, which will be referenced in all BES-SIM 2 publications to ensure full reproducibility of results. The repository also serves as a resource for modelling teams to consult and build upon for their own work. You can visit the BES-SIM 2 Git Hub repository at https://github.com/adcamagu/BES-SIM2.
A repository for BES-SIM 1 can also be found here: https://github.com/hmlfpereira/BES-SIM-1
Resulting datasets
All datasets can be found directly in the GEO BON EBV data portal
BES-SIM 2 datasets
BES-SIM 2 is currently underway. Datasets will be made available here progressively as results are published: biodiversity and ecosystem services datasets will be released once the respective modelling teams publish their results, while land use datasets will be released only after the modelling teams have published their results and the BES-SIM 2 protocol paper is ready.
BES-SIM 1 datasets
[1] Alkemade R, Bakkenes M. Global trends in ecosystem services (BES-SIM GLOBIO-ES) 2023. https://doi.org/10.25829/VQD4S4.
[2] Baisero D. Global habitat availability for mammals from 2015-2055 2022. https://doi.org/10.25829/C4VN95.
[3] Baisero D, Rondinini C. Global trends in biodiversity (BES-SIM INSIGHTS) 2023. https://doi.org/10.25829/H2EVR2.
[4] Chaplin-Kramer R, Sharp R. Global trends in ecosystem services (BES-SIM InVEST) 2023. https://doi.org/10.25829/ZR4D27.
[5] Haverd V. Global trends in ecosystem services (BES-SIM CABLE POP) 2023. https://doi.org/10.25829/KTNB68.
[6] Hill S, Purvis A. Global trends in biodiversity (BES-SIM PREDICTS) 2022. https://doi.org/10.25829/BK5G87.
[7] Leclere D, Obersteiner M. Global trends in biodiversity (BES-SIM cSAR-IIASA) 2022. https://doi.org/10.25829/HAQ7D4.
[8] Martins I, Pereira H. Global trends in biodiversity (BES-SIM cSAR-iDiv) 2022.https://doi.org/10.25829/5ZMY41.
[9] Martins I, Pereira H, Navarro L. Local bird diversity (cSAR/BES-SIM) 2022. https://doi.org/10.25829/8GRX36.
[10] Ohashi H, Hasegawa T. Global trends in biodiversity (BES-SIM AIM) 2023. https://doi.org/10.25829/5WN357.
[11] Poulter B, Quesada B. Global trends in ecosystem services (BES-SIM LPJ) 2023. https://doi.org/10.25829/XQ7A86.
[12] Quesada B, Anthoni P, Arneth A. Global trends in ecosystem services (BES-SIM LPJ-GUESS) 2023. https://doi.org/10.25829/Z5V9T2.
[13] Schipper A, Alkemade R. Global trends in biodiversity (BES-SIM GLOBIO) 2023. https://doi.org/10.25829/R7BT92.