ORCID Profile
0000-0002-4410-8676
Current Organisations
Royal College of Surgeons in Ireland
,
University of Tasmania
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Publisher: Royal Society of Chemistry (RSC)
Date: 2021
DOI: 10.1039/D0CS00031K
Abstract: Bismuth-based compounds have been used extensively as medicines for the treatment of gastrointestinal disorders and H. pylori infections. Bismuth compounds and Bi-based nanomaterials show promise for emerging infectious diseases, cancer ( e.g. 213 Bi) and also imaging.
Publisher: Western Washington University
Date: 2016
DOI: 10.25710/D4XW-5825
Publisher: Authorea, Inc.
Date: 27-09-2023
Publisher: Canadian Science Publishing
Date: 09-2017
Publisher: MDPI AG
Date: 03-10-2022
DOI: 10.3390/FIRE5050160
Abstract: A neglected dimension of the fire regime concept is fire patchiness. Habitat mosaics that emerge from the grain of burned and unburned patches (pyro ersity) are critical for the persistence of a erse range of plant and animal species. This issue is of particular importance in frequently burned tropical Eucalyptus savannas, where coarse fire mosaics have been hypothesized to have caused the recent drastic population declines of small mammals. Satellites routinely used for fire mapping in these systems are unable to accurately map fine-grained fire mosaics, frustrating our ability to determine whether declines in bio ersity are associated with local pyro ersity. To advance this problem, we have developed a novel method (we call ‘double-differenced dNBR’) that combines the infrequent (c. 16 days) detailed spatial resolution Landsat with daily coarse scale coverage of MODIS and VIIRS to map pyro ersity in the savannas of Kakadu National Park. We used seasonal Landsat mosaics and differenced normalized burn ratio (dNBR) to define burned areas, with a modification to dNBR that subtracts long-term average dNBR to increase contrast. Our results show this approach is effective in mapping fine-scale fire mosaics in the homogenous lowland savannas, although inappropriate for nearby heterogenous landscapes. Comparison of this methods to other fire metrics (e.g., area burned, seasonality) based on Landsat and MODIS imagery suggest this method is likely accurate and better at quantifying fine-scale patchiness of fire, albeit it demands detailed field validation.
Publisher: Wiley
Date: 02-12-2022
DOI: 10.1111/GCB.16006
Abstract: There is mounting concern that global wildfire activity is shifting in frequency, intensity, and seasonality in response to climate change. Fuel moisture provides a powerful means of detecting changing fire potential. Here, we use global burned area, weather reanalysis data, and the Canadian fire weather index system to calculate fuel moisture trends for multiscale biogeographic regions across a gradient in vegetation productivity. We quantify the proportion of days in the local fire season between 1979 and 2019, where fuel moisture content is below a critical threshold indicating extreme fire potential. We then associate fuel moisture trends over that period to vegetation productivity and comment on its implications for projected anthropogenic climate change. Overall, there is a strong drying trend across realms, biomes, and the productivity gradient. Even where a wetting trend is observed, this often indicates a trend toward increasing fire activity due to an expected increase in fuel production. The detected trends across the productivity gradient lead us to conclude global fire activity will increase with anthropogenic climate change.
Publisher: MDPI AG
Date: 09-2022
DOI: 10.20944/PREPRINTS202209.0011.V1
Abstract: A neglected dimension of the fire regime concept is fire patchiness. Habitat mosaics that emerge from the grain of burned and unburned patches (pyro ersity) are critical for the persistence of a erse range of plant and animal species. This issue is of particular importance in frequently burned tropical Eucalyptus savannas, where coarse fire mosaics have been hypothesized to have caused the recent drastic population declines of small mammals. Satellites routinely used for fire mapping in these systems are unable to accurately map fine-grained fire mosaics, frustrating our ability to determine whether declines in bio ersity are associated with local pyro ersity. To advance this problem, we have developed a novel method (we call & lsquo double-differenced dNBR& rsquo ) that combines the infrequent (c. bi-monthly) detailed spatial resolution Landsat with daily coarse scale coverage of MODIS and VIIRS to map pyro ersity in the savannas of Kakadu National Park. We used seasonal Landsat mosaics and differenced Normalized Burn Ratio (dNBR) to define burned areas, with a modification to dNBR that subtracts long-term average dNBR to increase contrast. Our results show this approach is effective in mapping fine-scale fire mosaics in the homogenous lowland savannas, although inappropriate for nearby heterogenous landscapes. Comparison of this methods to other fire metrics (e.g., area burned, seasonality) based on Landsat and MODIS imagery suggest this method is likely accurate and better at quantifying fine-scale patchiness of fire, albeit it demands detailed field validation.
No related grants have been discovered for Todd Ellis.