Prediction of the Future Evolution Trends of Prunus sibirica in China Based on the Key Climate Factors Using MaxEnt Modeling.

Wang J, Cheng J, Zhang C, Feng Y, Jin L, Wei S, Yang H, Cao Z, Peng J, Luo Y

DOI: 10.3390/biology13120973
Published: 2024 Nov 25
Container: Biology
Publisher: Not recorded
Open access: yes

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BibTeX

@article{allodium:10.3390/biology13120973,
  title = {Prediction of the Future Evolution Trends of Prunus sibirica in China Based on the Key Climate Factors Using MaxEnt Modeling.},
  author = {Wang J and Cheng J and Zhang C and Feng Y and Jin L and Wei S and Yang H and Cao Z and Peng J and Luo Y},
  year = {2024},
  journal = {Biology},
  doi = {10.3390/biology13120973},
  url = {https://doi.org/10.3390/biology13120973}
}

RIS

TY  - JOUR
TI  - Prediction of the Future Evolution Trends of Prunus sibirica in China Based on the Key Climate Factors Using MaxEnt Modeling.
AU  - Wang J
AU  - Cheng J
AU  - Zhang C
AU  - Feng Y
AU  - Jin L
AU  - Wei S
AU  - Yang H
AU  - Cao Z
AU  - Peng J
AU  - Luo Y
PY  - 2024
JO  - Biology
DO  - 10.3390/biology13120973
UR  - https://doi.org/10.3390/biology13120973
ER  -

APA

J, W., J, C., C, Z., Y, F., L, J., S, W., H, Y., Z, C., J, P., & Y, L. (2024). Prediction of the Future Evolution Trends of Prunus sibirica in China Based on the Key Climate Factors Using MaxEnt Modeling.. Biology. https://doi.org/10.3390/biology13120973

Source records

pubmed · retrieved 2026-09-26T05:26:44.183Z