| Stewart, SB and Fedrigo, M and Kasel, S and Roxburgh, SH and Choden, K and Tenzin, K and Allen, KJ and Nitschke, CR, “Predicting plant species distributions using climate-based model ensembles with corresponding measures of congruence and uncertainty”, Diversity and Distributions, 28 (5) pp. 1105-1122. ISSN 1366-9516 (2022) [Refereed Article] |
| Data Type | Value |
|---|
| Type of Research | Pure Basic Research |
| Research Division | Biological Sciences |
| Research Group | Bioinformatics and computational biology |
| Research Field | Bioinformatic methods development |
| Research Objective Division | Environmental Management |
| Research Objective Group | Terrestrial systems and management |
| Research Objective Field | Terrestrial biodiversity |
| Visit Item on eCite | http://ecite.utas.edu.au/149242 |
| Digital Object Identifier | doi:10.1111/ddi.13515 |
| Scopus Source URL | View the full record on Scopus |
| Scopus Citing URL | View the list of citing articles on Scopus |
| Web of Science® Source URL | View the full record on Web of Science® |
| Web of Science® Related URL | View the list of related articles on Web of Science® |
| Number of Downloads | 9 |
