Global potential distribution of Paeonia lactiflora and its climate-driven shifts: insights from an enhanced MaxEnt model integrating soil and solar radiation variables.
- DOI
- 10.3389/fpls.2026.1756429
- Published
- 2026
- Container
- Frontiers in plant science
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.3389/fpls.2026.1756429,
title = {Global potential distribution of Paeonia lactiflora and its climate-driven shifts: insights from an enhanced MaxEnt model integrating soil and solar radiation variables.},
author = {Cai J and Wang S and Fan Z and Han R and Tong X},
year = {2026},
journal = {Frontiers in plant science},
doi = {10.3389/fpls.2026.1756429},
url = {https://doi.org/10.3389/fpls.2026.1756429}
}RIS
TY - JOUR TI - Global potential distribution of Paeonia lactiflora and its climate-driven shifts: insights from an enhanced MaxEnt model integrating soil and solar radiation variables. AU - Cai J AU - Wang S AU - Fan Z AU - Han R AU - Tong X PY - 2026 JO - Frontiers in plant science DO - 10.3389/fpls.2026.1756429 UR - https://doi.org/10.3389/fpls.2026.1756429 ER -
APA
J, C., S, W., Z, F., R, H., & X, T. (2026). Global potential distribution of Paeonia lactiflora and its climate-driven shifts: insights from an enhanced MaxEnt model integrating soil and solar radiation variables.. Frontiers in plant science. https://doi.org/10.3389/fpls.2026.1756429
Source records
- pubmed · retrieved 2026-09-25T19:01:19.914Z