A5052038372- Plant Water Relations and Carbon Dynamics
- Remote Sensing in Agriculture
- Geology and Paleoclimatology Research
- Atmospheric and Environmental Gas Dynamics
- Soil Carbon and Nitrogen Dynamics
- Hydrology and Watershed Management Studies
- Remote Sensing and LiDAR Applications
- Land Use and Ecosystem Services
- Marine and environmental studies
- Soil erosion and sediment transport
- Cryospheric studies and observations
- Advanced Chemical Sensor Technologies
- Air Quality Monitoring and Forecasting
- Water Quality Monitoring Technologies
- Tree-ring climate responses
- Forest ecology and management
- Microbial Fuel Cells and Bioremediation
- Hydrology and Sediment Transport Processes
- Hydrocarbon exploration and reservoir analysis
- Groundwater and Watershed Analysis
- Soil and Environmental Studies
- Climate variability and models
- Horticultural and Viticultural Research
- Soil Geostatistics and Mapping
- Species Distribution and Climate Change
CSIRO Land and Water
2020-2024
Commonwealth Scientific and Industrial Research Organisation
2020-2024
Northwest A&F University
2022-2023
University of Canberra
2020-2023
ACT Government
2023
University of Technology Sydney
2017-2022
Institute of Soil and Water Conservation
2022
Summary Satellite observations of Amazon forests show seasonal and interannual variations, but the underlying biological processes remain debated. Here we combined radiative transfer models ( RTM s) with field forest leaf canopy characteristics to test three hypotheses for satellite‐observed reflectance seasonality: changes in area index, canopy‐surface leafless crown fraction and/or demography. Canopy s PROSAIL FL i ES ), driven by these factors combined, simulated patterns well, explaining...
Abstract. Soil heterotrophic respiration (RH) is one of the largest and most uncertain components terrestrial carbon cycle, directly reflecting loss from soils to atmosphere. However, high variations uncertainties RH existing in global cycling models require estimates different angles, e.g., a data-driven angle. To fill this knowledge gap, study applied Random Forest (RF) algorithm (a machine learning approach) (1) develop globally gridded dataset (2) investigate its spatial temporal...
Satellite-estimated solar-induced chlorophyll fluorescence (SIF) is proven to be an effective indicator for dynamic drought monitoring, while the capability of SIF assess variability dryland vegetation under water and heat stress remains challenging. This study presents analysis responses worst extreme over past two decades in Australia, using multi-source spaceborne derived from Global Ozone Monitoring Experiment-2 (GOME-2) TROPOspheric Instrument (TROPOMI). Vegetation functioning was...
Satellite remote sensing of vegetation at regional to global scales is undertaken considerable variations in solar zenith angle (SZA) across space and time, yet the extent which these SZA matter for retrieval phenology remains largely unknown. Here we examined effect seasonal spatial on retrieving from time series Normalized Difference Vegetation Index (NDVI) Enhanced (EVI) a study area southeastern Australia encompassing forest, woodland, grassland sites. The indices (VI) data span two...
Ecological condition continues to decline in arid and semi-arid river basins globally due hydrological over-abstraction combined with changing climatic conditions. Whilst provision of water for the environment has been a primary approach alleviate ecological decline, how accurately monitor changes riverine trees at fine spatial temporal scales, remains substantial challenge. This is further complicated by constantly availability across expansive varying zones. Within, we combine rare,...
Abstract. Belowground autotrophic respiration (RA) is one of the largest but most highly uncertain carbon flux components in terrestrial ecosystems. However, RA has not been explored globally before and still acts as a “black box” global cycling currently. Such progress uncertainty motivate development dataset understanding its spatial temporal patterns, causes, responses to future climate change. We applied random forest (RF) algorithm upscale an updated from Global Soil Respiration...
Abstract. Vegetation carbon use efficiency (CUE) is a key measure of (C) transfer from the atmosphere to terrestrial biomass, and indirectly reflects how much C released through autotrophic respiration vegetation atmosphere. Diagnosing variability CUE with climate other environmental factors fundamental understand its driving factors, further fill current gaps in knowledge about controls on CUE. Thus, study this established global database site-year based observations 188 field measurement...
Abstract Commercial plantation forestry is a vital industry worldwide, providing natural resources for humans and playing an important role in carbon sequestration. Historically, impacts of development to such as surface groundwater was not considered, however demand water drying climates has focussed attention on sustainable use extraction. The Lower Limestone Coast region south‐east South Australia extensive softwood estate. characterised by minimal substantial, fresh karstic resources,...
Abstract Management of water, regionally, nationally and globally will continue to be a priority complex undertaking. In riverine systems, biotic components like flora fauna play critical roles in filtering water so it is available for human use consumption. Preservation ecosystems associated ecosystem functions therefore vital. highly regulated large river basins, natural are often supported through provision environmental flows. Flow delivery, however, should underpinned by rigorous...
Mapping and monitoring groundwater-dependant vegetation (GDV) springs is essential for understanding the dynamics of shallow groundwater systems developing ecosystem conservation strategies. While large-scale identification GDV often relies on mapping excess evaporation, it low resolution, can be prone to false detections over some types soils in areas runoff accumulation. Here we propose a simple, more direct approach large scale, high resolution mapping, which designed cost time efficient....
Abstract. Belowground autotrophic respiration (RA) is one of the largest, but highly uncertain carbon flux components in terrestrial ecosystems. It has not been explored globally before and still acted as a “black box” global cycling. Such progress uncertainty motivate development RA dataset understand its spatial temporal pattern, causes responses to future climate change. This study used Random Forest RA's pattern at scale by linking updated field observations from Global Soil Respiration...
Transpiration (T) represents plant water use, while sun-induced chlorophyll fluorescence (SIF) emitted during photosynthesis, relates well to gross primary production. SIF can be influenced by vegetation structure, uncertainties remain on how this might impact the relationship between and T, especially for open sparse woodlands. In study, a method was developed map T in riverine floodplain woodland environments using satellite data coupled with radiative transfer model (RTM). Specifically,...