| Carbon stocks in temperate forests of south-eastern Australia reflect large tree distribution and edaphic conditions M Fedrigo, S Kasel, LT Bennett, SH Roxburgh, CR Nitschke Forest Ecology and Management 334, 129-143, 2014 | 64 | 2014 |
| Structural diversity underpins carbon storage in Australian temperate forests C Aponte, S Kasel, CR Nitschke, MA Tanase, H Vickers, L Parker, ... Global Ecology and Biogeography 29 (5), 789-802, 2020 | 53 | 2020 |
| Predicting temperate forest stand types using only structural profiles from discrete return airborne lidar M Fedrigo, GJ Newnham, NC Coops, DS Culvenor, DK Bolton, ... ISPRS Journal of Photogrammetry and Remote Sensing 136, 106-119, 2018 | 48 | 2018 |
| Environmental heterogeneity promotes floristic turnover in temperate forests of south-eastern Australia more than dispersal limitation and disturbance S Kasel, LT Bennett, C Aponte, M Fedrigo, CR Nitschke Landscape Ecology 32 (8), 1613-1629, 2017 | 37 | 2017 |
| Climate extreme variables generated using monthly time‐series data improve predicted distributions of plant species SB Stewart, J Elith, M Fedrigo, S Kasel, SH Roxburgh, LT Bennett, ... Ecography, 2021 | 24 | 2021 |
| Radiocarbon dating informs tree fern population dynamics and disturbance history of temperate forests in southeast Australia M Fedrigo, SB Stewart, S Kasel, V Levchenko, R Trouvé, CR Nitschke Radiocarbon 61 (2), 445-460, 2019 | 24 | 2019 |
| Predictive ecosystem mapping of south-Eastern Australian temperate forests using Lidar-derived structural profiles and species distribution models M Fedrigo, SB Stewart, SH Roxburgh, S Kasel, LT Bennett, H Vickers, ... Remote Sensing 11 (1), 93, 2019 | 21 | 2019 |
| Fire, drought and productivity as drivers of dead wood biomass in eucalypt forests of south-eastern Australia JE Burton, LT Bennett, S Kasel, CR Nitschke, MA Tanase, TA Fairman, ... Forest Ecology and Management 482, 118859, 2021 | 20 | 2021 |
| Predicting plant species distributions using climate‐based model ensembles with corresponding measures of congruence and uncertainty SB Stewart, M Fedrigo, S Kasel, SH Roxburgh, K Choden, K Tenzin, ... Diversity and Distributions 28 (5), 1105-1122, 2022 | 19 | 2022 |
| Spatial and temporal dynamics of habitat availability and stability for a critically endangered arboreal marsupial: implications for conservation planning in a fire-prone landscape CR Nitschke, R Trouve, LF Lumsden, LT Bennett, M Fedrigo, ... Landscape Ecology 35, 1553-1570, 2020 | 19 | 2020 |
| Refining benchmarks for soil organic carbon in Australia’s temperate forests LT Bennett, N Hinko-Najera, C Aponte, CR Nitschke, TA Fairman, ... Geoderma 368, 114246, 2020 | 13 | 2020 |
| The role of topography and the north Indian monsoon on mean monthly climate interpolation within the Himalayan Kingdom of Bhutan SB Stewart, K Choden, M Fedrigo, SH Roxburgh, RJ Keenan, ... International Journal of Climatology 37 (S1), 897-909, 2017 | 12 | 2017 |
| Fusing radar and optical remote sensing for biomass prediction in mountainous tropical forests M Fedrigo, P Meir, D Sheil, M Van Heist, IH Woodhouse, ETA Mitchard 2013 IEEE International Geoscience and Remote Sensing Symposium-IGARSS, 975-978, 2013 | 8 | 2013 |
| Combining environmental, multispectral, and lidar data improves forest type classification: A case study on mapping cool temperate rainforests and mixed forests R Trouvé, R Jiang, M Fedrigo, MD White, S Kasel, PJ Baker, CR Nitschke Remote Sensing 15 (1), 60, 2022 | 6 | 2022 |
| A field method for rapidly assessing deer density and impacts in forested ecosystems A Bennett, M Fedrigo, J Greet Ecological Management & Restoration 23 (1), 81-88, 2022 | 6 | 2022 |
Craig NitschkeAssociate Professor, University of Melbourne在 unimelb.edu.au 的电子邮件经过验证
