معرفی
Dr David Deane is a Research Fellow at La Trobe University's Ecological Plant and Animal Sciences department, holding an Australian Research Council Discovery Early Career Researcher Award (DECRA). His work focuses on maintaining biodiversity in human-dominated landscapes through empirical and theoretical approaches.
- PhD in Conservation Biology, University of Alberta (2020)
- MSc (part-time), University of Adelaide (2016)
- BSc, University of Adelaide (2000)
Deane's research integrates macroecology, metacommunity theory, and wetland conservation to address climate change impacts on plant diversity. His work emphasizes hydrological niche modeling, species turnover dynamics, and functional diversity in fragmented ecosystems, with fieldwork spanning Australian wetlands to the Qinghai-Tibet Plateau. Current DECRA-funded research investigates water availability's role in structuring wetland plant communities under climatic uncertainty.
Analysis of his 15 most recent publications reveals dominant themes: 73% focus on wetland/fragmented ecosystem dynamics, 60% incorporate climate change impacts, and 47% develop novel ecological metrics. Key trends include advancing metacommunity theory through hydrological niche partitioning studies and integrating phylogenetics into conservation planning for high-altitude ecosystems.
Scientific Awards:
- ARC Discovery Early Career Researcher Award (DECRA) - Quantifying climate change impacts for wetlands in agricultural landscapes (2024-2027)
Deane leads collaborative research bridging academic and practical conservation, working with private landholders, state natural resource management authorities, and international conservation agencies. His funded projects include the Enhanced Shallow Groundwater Monitoring Network for Fleurieu Peninsula Swamp Wetlands and the DECRA grant on agricultural landscape wetlands. While no formal students are listed, his work involves multidisciplinary teams across government and academic sectors.
Current research leverages long-term field data and modeling to predict wetland futures under climate scenarios, with strong policy engagement through Australian natural resource management frameworks.
