MaxEnt model-based prediction of potential distributions of Parnassiawightiana (Celastraceae) in China.

Dai X, Wu W, Ji L, Tian S, Yang B, Guan B, Wu D

DOI: 10.3897/bdj.10.e81073
Published: 2022
Container: Biodiversity data journal
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3897/bdj.10.e81073,
  title = {MaxEnt model-based prediction of potential distributions of Parnassiawightiana (Celastraceae) in China.},
  author = {Dai X and Wu W and Ji L and Tian S and Yang B and Guan B and Wu D},
  year = {2022},
  journal = {Biodiversity data journal},
  doi = {10.3897/bdj.10.e81073},
  url = {https://doi.org/10.3897/bdj.10.e81073}
}

RIS

TY  - JOUR
TI  - MaxEnt model-based prediction of potential distributions of Parnassiawightiana (Celastraceae) in China.
AU  - Dai X
AU  - Wu W
AU  - Ji L
AU  - Tian S
AU  - Yang B
AU  - Guan B
AU  - Wu D
PY  - 2022
JO  - Biodiversity data journal
DO  - 10.3897/bdj.10.e81073
UR  - https://doi.org/10.3897/bdj.10.e81073
ER  -

APA

X, D., W, W., L, J., S, T., B, Y., B, G., & D, W. (2022). MaxEnt model-based prediction of potential distributions of Parnassiawightiana (Celastraceae) in China.. Biodiversity data journal. https://doi.org/10.3897/bdj.10.e81073

Source records

pubmed · retrieved 2026-09-26T09:33:55.469Z