27 results on '"Lyons, MB"'
Search Results
2. Automated Inundation History Mapping over Large Areas using Landsat and Google Earth Engine
- Author
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Inman Vl and Lyons Mb
- Subjects
environmental_sciences ,Earth (chemistry) ,Geology ,Remote sensing ,Okavango delta - Abstract
Accurate inundation maps for flooded wetlands and rivers are a critical resource for their management and conservation. In this paper we automate a method (thresholding of the short-wave infrared band) for classifying inundation, using Landsat imagery and Google Earth Engine. We demonstrate the method in the Okavango Delta, northern Botswana, a complex case study due to the spectral overlap between inundated areas covered with aquatic vegetation and dryland vegetation classes on satellite imagery. Inundation classifications in the Okavango Delta have predominately been implemented on broad spatial resolution images. We present the longest time series to date (1990-2019) of inundation maps at high spatial resolution (30m) for the Okavango Delta. We validated the maps using image-based and in situ data accuracy assessments, with accuracy ranging from 91.5 - 98.1%. Use of Landsat imagery resulted in consistently lower estimates of inundation extent than previous studies, likely due to the increased number of mixed pixels that occur when using broad spatial resolution imagery, which can lead to overestimations of the size of inundated areas. We provide the inundation maps and Google Earth Engine code for public use.
- Published
- 2020
3. Counting mixed breeding aggregations of animal species using drones: Lessons from waterbirds on semi-automation
- Author
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Francis, RJ, Lyons, MB, Kingsford, RT, Brandis, KJ, Francis, RJ, Lyons, MB, Kingsford, RT, and Brandis, KJ
- Abstract
Using drones to count wildlife saves time and resources and allows access to difficult or dangerous areas. We collected drone imagery of breeding waterbirds at colonies in the Okavango Delta (Botswana) and Lowbidgee floodplain (Australia). We developed a semi-automated counting method, using machine learning, and compared effectiveness of freeware and payware in identifying and counting waterbird species (targets) in the Okavango Delta. We tested transferability to the Australian breeding colony. Our detection accuracy (targets), between the training and test data, was 91% for the Okavango Delta colony and 98% for the Lowbidgee floodplain colony. These estimates were within 1-5%, whether using freeware or payware for the different colonies. Our semi-automated method was 26% quicker, including development, and 500% quicker without development, than manual counting. Drone data of waterbird colonies can be collected quickly, allowing later counting with minimal disturbance. Our semi-automated methods efficiently provided accurate estimates of nesting species of waterbirds, even with complex backgrounds. This could be used to track breeding waterbird populations around the world, indicators of river and wetland health, with general applicability for monitoring other taxa.
- Published
- 2020
4. Monitoring large and complex wildlife aggregations with drones
- Author
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Lyons, MB, Brandis, KJ, Murray, NJ, Wilshire, JH, McCann, JA, Kingsford, RT, Callaghan, CT, Lyons, MB, Brandis, KJ, Murray, NJ, Wilshire, JH, McCann, JA, Kingsford, RT, and Callaghan, CT
- Abstract
Recent advances in drone technology have rapidly led to their use for monitoring and managing wildlife populations but a broad and generalised framework for their application to complex wildlife aggregations is still lacking. We present a generalised semi-automated approach where machine learning can map targets of interest in drone imagery, supported by predictive modelling for estimating wildlife aggregation populations. We demonstrated this application on four large spatially complex breeding waterbird colonies on floodplains, ranging from c. 20,000 to c. 250,000 birds, providing estimates of bird nests. Our mapping and modelling approach was applicable to all four colonies, without any modification, effectively dealing with variation in nest size, shape, colour and density and considerable background variation (vegetation, water, sand, soil, etc.). Our semi-automated approach was between three and eight times faster than manually counting nests from imagery at the same level of accuracy. This approach is a significant improvement for monitoring large and complex aggregations of wildlife, offering an innovative solution where ground counts are costly, difficult or not possible. Our framework requires minimal technical ability, is open-source (Google Earth Engine and R), and easy to apply to other surveys.
- Published
- 2019
5. A comment on the limitations of UAVS in wildlife research – the example of colonial nesting waterbirds
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Callaghan, CT, Brandis, KJ, Lyons, MB, Ryall, S, Kingsford, RT, Callaghan, CT, Brandis, KJ, Lyons, MB, Ryall, S, and Kingsford, RT
- Published
- 2018
6. A novel framework for the use of remote sensing for monitoring catchments at continental scales
- Author
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Bugnot, AB, Lyons, MB, Scanes, P, Clark, GF, Fyfe, SK, Lewis, A, Johnston, EL, Bugnot, AB, Lyons, MB, Scanes, P, Clark, GF, Fyfe, SK, Lewis, A, and Johnston, EL
- Abstract
Historical ecology can teach us valuable lessons on the processes and drivers of environmental change that can inform future monitoring priorities and management strategies. Environmental data to study environmental history, however, is often absent or of low quality. Even when studying changes occurring during the last few decades, monitoring efforts are scarce due to logistical and cost limitations, leaving large areas unassessed. The aim of this study is to evaluate the use of estuarine water colour as an indicator of historical environmental change in catchments. Water colour change was assessed in estuaries in Australia from 1987 to 2015 using satellite remote sensing. Random points were selected for each estuary and applied to the Australian Geoscience Data Cube (based on Landsat images) to obtain reflectance data through time. We propose a framework where (i) water colour is used to detect historical changes in catchments using generalised additive models, (ii) possible stressors and pressures driving those changes are evaluated using other available historical data, and (iii) lessons learned inform appropriate monitoring and management actions. This framework represents a novel approach to generate historical data for large-scale assessments of environmental change at catchment level, even in poorly studied areas.
- Published
- 2018
7. A comparison of resampling methods for remote sensing classification and accuracy assessment
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Lyons, MB, Keith, DA, Phinn, SR, Mason, TJ, Elith, J, Lyons, MB, Keith, DA, Phinn, SR, Mason, TJ, and Elith, J
- Abstract
Maps that categorise the landscape into discrete units are a cornerstone of many scientific, management and conservation activities. The accuracy of these maps is often the primary piece of information used to make decisions about the mapping process or judge the quality of the final map. Variance is critical information when considering map accuracy, yet commonly reported accuracy metrics often do not provide that information. Various resampling frameworks have been proposed and shown to reconcile this issue, but have had limited uptake. In this paper, we compare the traditional approach of a single split of data into a training set (for classification) and test set (for accuracy assessment), to a resampling framework where the classification and accuracy assessment are repeated many times. Using a relatively simple vegetation mapping example and two common classifiers (maximum likelihood and random forest), we compare variance in mapped area estimates and accuracy assessment metrics (overall accuracy, kappa, user, producer, entropy, purity, quantity/allocation disagreement). Input field data points were repeatedly split into training and test sets via bootstrapping, Monte Carlo cross-validation (67:33 and 80:20 split ratios) and k-fold (5-fold) cross-validation. Additionally, within the cross-validation, we tested four designs: simple random, block hold-out, stratification by class, and stratification by both class and space. A classification was performed for every split of every methodological combination (100's iterations each), creating sampling distributions for the mapped area of each class and the accuracy metrics. We found that regardless of resampling design, a single split of data into training and test sets results in a large variance in estimates of accuracy and mapped area. In the worst case, overall accuracy varied between ~40–80% in one resampling design, due only to random variation in partitioning into training and test sets. On the other hand, we
- Published
- 2018
8. The effects of local and landscape habitat attributes on bird diversity in urban greenspaces
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Callaghan, CT, Major, RE, Lyons, MB, Martin, JM, Kingsford, RT, Callaghan, CT, Major, RE, Lyons, MB, Martin, JM, and Kingsford, RT
- Abstract
Contrasting trajectories of biodiversity loss and urban expansion make it imperative to understand biodiversity persistence in cities. Size-, local-, and landscape-level habitat factors of greenspaces in cities may be critical for future design and management of urban greenspaces in conserving bird biodiversity. Most current understanding of bird communities in cities has come from disparate analyses of single cities, over relatively short time periods, producing limited understanding of processes and characteristics of bird patterns for improved biodiversity management of the world's cities. We analyzed bird biodiversity in 112 urban greenspaces from 51 cities across eight countries, using eBird, a broadscale citizen science project. Species richness and Shannon diversity were used as response variables, while percent tree cover, percent water cover, and vegetation index were used as habitat predictor variables at both a landscape (5 and 25 km radius) and local-scale level (specific to an individual greenspace) in the modeling process, retrieved using Google Earth Engine. Area of a greenspace was the most important predictor of bird biodiversity, underlining the critical importance of habitat area as the most important factor for increasing bird biodiversity and mitigating loss from urbanization. Surprisingly, distance from the city center and distance from the coast were not significantly related to bird biodiversity. Landscape-scale habitat predictors were less related to bird biodiversity than local-scale habitat predictors. Ultimately, bird biodiversity loss could be mitigated by protecting and developing large greenspaces with varied habitat in the world's cities.
- Published
- 2018
9. Assessing the reliability of avian biodiversity measures of urban greenspaces using ebird citizen science data
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Callaghan, CT, Lyons, MB, Martin, JM, Major, RE, Kingsford, RT, Callaghan, CT, Lyons, MB, Martin, JM, Major, RE, and Kingsford, RT
- Abstract
Urban greenspaces are important areas for biodiversity, serving multiple uses, sometimes including conservation and biodiversity management. Citizen science provides a cheap and potentially effective method of assisting biodiversity management in urban greenspaces. Despite this potential, the minimum amount of citizen science data required to adequately represent a community is largely untested. We used eBird data to test the minimum sampling effort required to be confident in results for three biological metrics, species richness, Shannon diversity, and community composition (Bray-Curtis similarity). For our data, from 30 urban greenspaces in North America, for a 90% threshold level, a minimum mean number of 210, 33, and 58 checklists were necessary for species richness, Shannon diversity, and community composition, respectively. However, when we eliminated those species that were present in fewer than 5% of checklists at a given site, there was a marked decrease in mean minimum number of checklists required (17, 9, and 52, respectively). Depending on the ecological questions of interest, eBird data may be a potentially reliable data source in urban greenspaces. We provide a validation methodology using eBird data, with its associated code in the R statistical environment, to provide confidence for land managers and community groups managing urban greenspaces.
- Published
- 2017
10. Model-based assessment of ecological community classifications
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Lyons, MB, Keith, DA, Warton, DI, Somerville, M, Kingsford, RT, Lyons, MB, Keith, DA, Warton, DI, Somerville, M, and Kingsford, RT
- Abstract
Aim: A ‘good’ classification should provide information about the composition and abundance of the species within communities, if it serves as an informative surrogate for biodiversity. A natural way to formalize this is with a predictive model, where group membership (clusters) is the predictor, and multivariate species data (site by species matrix) is the response. In this study, we aimed to develop a predictive model-based framework for evaluating the predictive performance of alternative classifications of vegetation communities, and apply it to make objective and automated decisions about classification structure. Methods: We used GLMs fit to multivariate species data to predict occurrence of individual species with site groupings. We used AIC to estimate predictive performance of alternative models to: (1) identify optimal partitioning of sites among multiple competing flexible-β clustering solutions; (2) identify species that contribute most to compositional differences between clusters (i.e. characteristic species); and (3) automatically merge clusters to maximize expected predictive performance using an iterative pruning approach. Using field data from southeastern Australia, and simulated data, we demonstrate our approach for common ecological data types (presence/absence, counts, cover–abundance scores, percentage cover). We supply all code and data required for these analyses. Results: AIC was a useful metric for assessing competing classification solutions. Our method produced outputs that were simple to interpret and required few subjective choices to be made by the user, while performing similarly to the popular OptimClass assessment methodology. Characteristic species defined by predictive performance were consistent between data types, and had good general agreement with existing methods for defining characteristic species. Using model performance to iteratively refine clustering produced classifications with better than expected predictive performa
- Published
- 2016
11. Visual impairment due to a dyskinetic eye movement disorder in children with dyskinetic cerebral palsy
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*, MD FRCP (C) James E Jan, §, Lyons, MB FRCS (C) Christopher J, Heaven, PhD RPsych Roberta KB, and Matsuba, BSc MDCM FRCP (C) Carey
- Abstract
Neurological lesions that cause dyskinetic cerebral palsy (CP) commonly involve ocular movements. This report describes a group of 14 children (nine males, five females) whose CP is associated with severe dyskinetic eye movements. Ages ranged from 4 months to 13 years (mean 6.9 years). Clinical features of this eye movement disorder are discussed and defined. The visual function of these children is slow, variable, and highly inefficient. They are often misdiagnosed as blind, due to cortical visual impairment. Early recognition of dyskinetic eye moment disorder and appropriate developmental and educational management are important.
- Published
- 2001
12. High-resolution global maps of tidal flat ecosystems from 1984 to 2019.
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Murray NJ, Phinn SP, Fuller RA, DeWitt M, Ferrari R, Johnston R, Clinton N, and Lyons MB
- Abstract
Assessments of the status of tidal flats, one of the most extensive coastal ecosystems, have been hampered by a lack of data on their global distribution and change. Here we present globally consistent, spatially-explicit data of the occurrence of tidal flats, defined as sand, rock or mud flats that undergo regular tidal inundation. More than 1.3 million Landsat images were processed to 54 composite metrics for twelve 3-year periods, spanning four decades (1984-1986 to 2017-2019). The composite metrics were used as predictor variables in a machine-learning classification trained with more than 10,000 globally distributed training samples. We assessed accuracy of the classification with 1,348 stratified random samples across the mapped area, which indicated overall map accuracies of 82.2% (80.0-84.3%, 95% confidence interval) and 86.1% (84.2-86.8%, 95% CI) for version 1.1 and 1.2 of the data, respectively. We expect these maps will provide a means to measure and monitor a range of processes that are affecting coastal ecosystems, including the impacts of human population growth and sea level rise., (© 2022. The Author(s).)
- Published
- 2022
- Full Text
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13. Stepping up to the thermogradient plate: a data framework for predicting seed germination under climate change.
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Collette JC, Sommerville KD, Lyons MB, Offord CA, Errington G, Newby ZJ, von Richter L, and Emery NJ
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- Ecosystem, Plant Dormancy, Seeds physiology, Temperature, Climate Change, Germination physiology
- Abstract
Background and Aims: Seed germination is strongly influenced by environmental temperatures. With global temperatures predicted to rise, the timing of germination for thousands of plant species could change, leading to potential decreases in fitness and ecosystem-wide impacts. The thermogradient plate (TGP) is a powerful but underutilized research tool that tests germination under a broad range of constant and alternating temperatures, giving researchers the ability to predict germination characteristics using current and future climates. Previously, limitations surrounding experimental design and data analysis methods have discouraged its use in seed biology research., Methods: Here, we have developed a freely available R script that uses TGP data to analyse seed germination responses to temperature. We illustrate this analysis framework using three example species: Wollemia nobilis, Callitris baileyi and Alectryon subdentatus. The script generates >40 germination indices including germination rates and final germination across each cell of the TGP. These indices are then used to populate generalized additive models and predict germination under current and future monthly maximum and minimum temperatures anywhere on the globe., Key Results: In our study species, modelled data were highly correlated with observed data, allowing confident predictions of monthly germination patterns for current and future climates. Wollemia nobilis germinated across a broad range of temperatures and was relatively unaffected by predicted future temperatures. In contrast, C. baileyi and A. subdentatus showed strong seasonal temperature responses, and the timing for peak germination was predicted to shift seasonally under future temperatures., Conclusions: Our experimental workflow is a leap forward in the analysis of TGP experiments, increasing its many potential benefits, thereby improving research predictions and providing substantial information to inform management and conservation of plant species globally., (© The Author(s) 2022. Published by Oxford University Press on behalf of the Annals of Botany Company.)
- Published
- 2022
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14. Global application of an unoccupied aerial vehicle photogrammetry protocol for predicting aboveground biomass in non-forest ecosystems.
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Cunliffe AM, Anderson K, Boschetti F, Brazier RE, Graham HA, Myers-Smith IH, Astor T, Boer MM, Calvo LG, Clark PE, Cramer MD, Encinas-Lara MS, Escarzaga SM, Fernández-Guisuraga JM, Fisher AG, Gdulová K, Gillespie BM, Griebel A, Hanan NP, Hanggito MS, Haselberger S, Havrilla CA, Heilman P, Ji W, Karl JW, Kirchhoff M, Kraushaar S, Lyons MB, Marzolff I, Mauritz ME, McIntire CD, Metzen D, Méndez-Barroso LA, Power SC, Prošek J, Sanz-Ablanedo E, Sauer KJ, Schulze-Brüninghoff D, Šímová P, Sitch S, Smit JL, Steele CM, Suárez-Seoane S, Vargas SA, Villarreal M, Visser F, Wachendorf M, Wirnsberger H, and Wojcikiewicz R
- Abstract
Non-forest ecosystems, dominated by shrubs, grasses and herbaceous plants, provide ecosystem services including carbon sequestration and forage for grazing, and are highly sensitive to climatic changes. Yet these ecosystems are poorly represented in remotely sensed biomass products and are undersampled by in situ monitoring. Current global change threats emphasize the need for new tools to capture biomass change in non-forest ecosystems at appropriate scales. Here we developed and deployed a new protocol for photogrammetric height using unoccupied aerial vehicle (UAV) images to test its capability for delivering standardized measurements of biomass across a globally distributed field experiment. We assessed whether canopy height inferred from UAV photogrammetry allows the prediction of aboveground biomass (AGB) across low-stature plant species by conducting 38 photogrammetric surveys over 741 harvested plots to sample 50 species. We found mean canopy height was strongly predictive of AGB across species, with a median adjusted R
2 of 0.87 (ranging from 0.46 to 0.99) and median prediction error from leave-one-out cross-validation of 3.9%. Biomass per-unit-of-height was similar within but different among, plant functional types. We found that photogrammetric reconstructions of canopy height were sensitive to wind speed but not sun elevation during surveys. We demonstrated that our photogrammetric approach produced generalizable measurements across growth forms and environmental settings and yielded accuracies as good as those obtained from in situ approaches. We demonstrate that using a standardized approach for UAV photogrammetry can deliver accurate AGB estimates across a wide range of dynamic and heterogeneous ecosystems. Many academic and land management institutions have the technical capacity to deploy these approaches over extents of 1-10 ha-1 . Photogrammetric approaches could provide much-needed information required to calibrate and validate the vegetation models and satellite-derived biomass products that are essential to understand vulnerable and understudied non-forested ecosystems around the globe., (© 2021 The Authors. Remote Sensing in Ecology and Conservation published by John Wiley & Sons Ltd on behalf of Zoological Society of London.)- Published
- 2022
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15. Author Correction: Reef Cover, a coral reef classification for global habitat mapping from remote sensing.
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Kennedy EV, Roelfsema CM, Lyons MB, Kovacs EM, Borrego-Acevedo R, Roe M, Phinn SR, Larsen K, Murray NJ, Yuwono D, Wolff J, and Tudman P
- Published
- 2021
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16. Reef Cover, a coral reef classification for global habitat mapping from remote sensing.
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Kennedy EV, Roelfsema CM, Lyons MB, Kovacs EM, Borrego-Acevedo R, Roe M, Phinn SR, Larsen K, Murray NJ, Yuwono D, Wolff J, and Tudman P
- Subjects
- Australia, Conservation of Natural Resources, Coral Reefs, Remote Sensing Technology
- Abstract
Coral reef management and conservation stand to benefit from improved high-resolution global mapping. Yet classifications underpinning large-scale reef mapping to date are typically poorly defined, not shared or region-specific, limiting end-users' ability to interpret outputs. Here we present Reef Cover, a coral reef geomorphic zone classification, developed to support both producers and end-users of global-scale coral reef habitat maps, in a transparent and version-based framework. Scalable classes were created by focusing on attributes that can be observed remotely, but whose membership rules also reflect deep knowledge of reef form and functioning. Bridging the divide between earth observation data and geo-ecological knowledge of reefs, Reef Cover maximises the trade-off between applicability at global scales, and relevance and accuracy at local scales. Two case studies demonstrate application of the Reef Cover classification scheme and its scientific and conservation benefits: 1) detailed mapping of the Cairns Management Region of the Great Barrier Reef to support management and 2) mapping of the Caroline and Mariana Island chains in the Pacific for conservation purposes., (© 2021. The Author(s).)
- Published
- 2021
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17. The global distribution and trajectory of tidal flats.
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Murray NJ, Phinn SR, DeWitt M, Ferrari R, Johnston R, Lyons MB, Clinton N, Thau D, and Fuller RA
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- Asia, North America, Reproducibility of Results, Satellite Imagery, South America, Ecosystem, Geographic Mapping, Geologic Sediments analysis, Tidal Waves
- Abstract
Increasing human populations around the global coastline have caused extensive loss, degradation and fragmentation of coastal ecosystems, threatening the delivery of important ecosystem services
1 . As a result, alarming losses of mangrove, coral reef, seagrass, kelp forest and coastal marsh ecosystems have occurred1-6 . However, owing to the difficulty of mapping intertidal areas globally, the distribution and status of tidal flats-one of the most extensive coastal ecosystems-remain unknown7 . Here we present an analysis of over 700,000 satellite images that maps the global extent of and change in tidal flats over the course of 33 years (1984-2016). We find that tidal flats, defined as sand, rock or mud flats that undergo regular tidal inundation7 , occupy at least 127,921 km2 (124,286-131,821 km2 , 95% confidence interval). About 70% of the global extent of tidal flats is found in three continents (Asia (44% of total), North America (15.5% of total) and South America (11% of total)), with 49.2% being concentrated in just eight countries (Indonesia, China, Australia, the United States, Canada, India, Brazil and Myanmar). For regions with sufficient data to develop a consistent multi-decadal time series-which included East Asia, the Middle East and North America-we estimate that 16.02% (15.62-16.47%, 95% confidence interval) of tidal flats were lost between 1984 and 2016. Extensive degradation from coastal development1 , reduced sediment delivery from major rivers8,9 , sinking of riverine deltas8,10 , increased coastal erosion and sea-level rise11 signal a continuing negative trajectory for tidal flat ecosystems around the world. Our high-spatial-resolution dataset delivers global maps of tidal flats, which substantially advances our understanding of the distribution, trajectory and status of these poorly known coastal ecosystems.- Published
- 2019
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18. Linking trophic cascades to changes in desert dune geomorphology using high-resolution drone data.
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Lyons MB, Mills CH, Gordon CE, and Letnic M
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- Animals, Australia, Canidae physiology, Desert Climate, Food Chain, Models, Biological
- Abstract
Vegetation cover is fundamental in the formation and maintenance of geomorphological features in dune systems. In arid Australia, increased woody shrub cover has been linked to removal of the apex predator (Dingoes, Canis dingo ) via subsequent trophic cascades. We ask whether this increase in shrubs can be linked to altered physical characteristics of the dunes. We used drone-based remote sensing to measure shrub density and construct three-dimensional models of dune morphology. Dunes had significantly different physical characteristics either side of the 'dingo-proof fence', inside which dingoes are systematically eradicated and shrub density is higher over vast spatial extents. Generalized additive models revealed that dunes with increased shrub density were higher, differently shaped and more variable in height profile. We propose that low shrub density induces aeolian and sedimentary processes that result in greater surface erosion and sediment transport, whereas high shrub density promotes dune stability. We speculate that increased vegetation cover acts to push dunes towards an alternate stable state, where climatic variation no longer has a significant effect on their morphodynamic state within the bi-stable state model. Our study provides evidence that anthropogenically induced trophic cascades can indirectly lead to large-scale changes in landscape geomorphology., (© 2018 The Author(s).)
- Published
- 2018
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19. A novel framework for the use of remote sensing for monitoring catchments at continental scales.
- Author
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Bugnot AB, Lyons MB, Scanes P, Clark GF, Fyfe SK, Lewis A, and Johnston EL
- Subjects
- Australia, Ecology, Estuaries, Environmental Monitoring, Remote Sensing Technology
- Abstract
Historical ecology can teach us valuable lessons on the processes and drivers of environmental change that can inform future monitoring priorities and management strategies. Environmental data to study environmental history, however, is often absent or of low quality. Even when studying changes occurring during the last few decades, monitoring efforts are scarce due to logistical and cost limitations, leaving large areas unassessed. The aim of this study is to evaluate the use of estuarine water colour as an indicator of historical environmental change in catchments. Water colour change was assessed in estuaries in Australia from 1987 to 2015 using satellite remote sensing. Random points were selected for each estuary and applied to the Australian Geoscience Data Cube (based on Landsat images) to obtain reflectance data through time. We propose a framework where (i) water colour is used to detect historical changes in catchments using generalised additive models, (ii) possible stressors and pressures driving those changes are evaluated using other available historical data, and (iii) lessons learned inform appropriate monitoring and management actions. This framework represents a novel approach to generate historical data for large-scale assessments of environmental change at catchment level, even in poorly studied areas., (Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.)
- Published
- 2018
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20. Cultured human melanocytes from black and white donors have different sunlight and ultraviolet A radiation sensitivities.
- Author
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Yohn JJ, Lyons MB, and Norris DA
- Subjects
- Cell Survival radiation effects, DNA Repair radiation effects, Humans, Male, Melanins analysis, Melanocytes chemistry, Melanocytes cytology, Black People, Melanocytes radiation effects, Radiation Tolerance physiology, Sunlight, Ultraviolet Rays, White People
- Abstract
Short-term and long-term survival of cultured neonatal foreskin melanocytes from black and white individuals were assessed following a single exposure to simulated sunlight or ultraviolet A (UVA) radiation. Melanocytes from black individuals contained significantly more melanin than melanocytes from white individuals (p less than 0.05). Black and white melanocytes had similar survival profiles following simulated sunlight exposure, whereas black melanocytes were significantly more resistant to UVA cytotoxicity than melanocytes from white subjects (p less than 0.05) at UVA doses above 15 J/cm2. There was no difference in unscheduled DNA synthesis in the black or white melanocytes following simulated sunlight exposure and no unscheduled DNA synthesis was measurable following melanocyte exposure to UVA radiation. Low-dose UVA (1 or 5 J/cm2) was mitogenic to both black and white melanocytes. By analysis of co-variance, the melanin content of melanocytes of black and white subjects was significantly (p less than 0.05) associated with susceptibility to UVA killing; melanocytes with high melanin content had high resistance to UVA cytotoxicity and those with low melanin content had low resistance to UVA cytotoxicity. From these data we suggest that the higher melanin content of melanocytes of black subjects confers increased resistance to UVA damage. This is likely to be of importance in epidermal photodamage.
- Published
- 1992
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21. Ultraviolet radiation can either suppress or induce expression of intercellular adhesion molecule 1 (ICAM-1) on the surface of cultured human keratinocytes.
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Norris DA, Lyons MB, Middleton MH, Yohn JJ, and Kashihara-Sawami M
- Subjects
- Cell Adhesion Molecules analysis, Cell Membrane radiation effects, Cells, Cultured, Dose-Response Relationship, Radiation, Flow Cytometry, Fluorescent Antibody Technique, Humans, In Vitro Techniques, Infant, Newborn, Intercellular Adhesion Molecule-1, Keratinocytes metabolism, Kinetics, Receptors, Virus biosynthesis, Skin, Cell Adhesion Molecules biosynthesis, Keratinocytes radiation effects, Ultraviolet Rays
- Abstract
Interactions of the ligand/receptor pair LFA-1(CD11a/CD18) and ICAM-1(CD54) initiate and control the cell-cell interactions of leukocytes and interactions of leukocytes with parenchymal cells in all phases of the immune response. Induction of the intercellular adhesion molecule 1 (ICAM-1) on the surface of epidermal keratinocytes has been proposed as an important regulator of contact-dependent aspects of cutaneous inflammation. Ultraviolet radiation (UVR) also modifies cutaneous inflammation, producing both up- and down-regulation of contact hypersensitivity. We have found that UVR has a biphasic effect on the induction of keratinocyte CD54. Using immunofluorescence and FACS techniques to quantitate cell-surface CD54 staining, we have shown that UVR (100 mJ/cm2 of UVB) significantly (p less than 0.01) inhibits keratinocyte CD54 induction by gamma interferon 24 h after irradiation. However, at 48, 72, and 96 h after UVR (10 to 100 mJ/cm2), CD54 expression is significantly induced (p less than 0.01 to p less than 0.001) to levels even greater than are induced by gamma interferon (20 U/ml). In addition, at 48, 72, or 96 h following UVR (30-100 mJ/cm2), the gamma-interferon-induced CD54 expression on human keratinocytes is also strongly (p less than 0.05 to p less than 0.001) enhanced. In this cell-culture system, gamma interferon and TNF-alpha are both strong CD54 inducers and are synergistic, but GM-CSF, TFG-beta, and IL-1 have no direct CD54-inducing effects. Thus the effects of UVR on CD54 induction are biphasic, producing inhibition at 24 h and induction at 48, 72, and 96 h. This effect on CD54 may contribute to the biphasic effects of UVR on delayed hypersensitivity in vivo. The early inhibition of ICAM-1 by UVR may also contribute to the therapeutic effects of UVR. We also speculate that the late induction of ICAM-1 by UVR might be an important step in the induction of photosensitive diseases such as lupus erythematosus.
- Published
- 1990
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22. Modulation of melanocyte intercellular adhesion molecule-1 by immune cytokines.
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Yohn JJ, Critelli M, Lyons MB, and Norris DA
- Subjects
- 1-(5-Isoquinolinesulfonyl)-2-Methylpiperazine, Cell Adhesion Molecules analysis, Cells, Cultured, Cytokines, Flow Cytometry, Fluorescent Antibody Technique, Humans, Infant, Newborn, Intercellular Adhesion Molecule-1, Isoquinolines pharmacology, Kinetics, Male, Melanocytes drug effects, Piperazines pharmacology, Protein Kinase Inhibitors, Receptors, Virus biosynthesis, Recombinant Proteins pharmacology, Tetradecanoylphorbol Acetate pharmacology, Biological Factors pharmacology, Cell Adhesion Molecules biosynthesis, Interferon-gamma pharmacology, Interleukin-1 pharmacology, Melanocytes immunology, Tumor Necrosis Factor-alpha pharmacology
- Abstract
Human melanocyte expression of intercellular adhesion molecule-1 (ICAM-1) with or without stimulation by interferon gamma (IFN-G), tumor necrosis factor alpha (TNF-alpha), or interleukin-1-alpha (IL-1 alpha), was measured utilizing direct immunofluorescence and fluorescence-activated cell sorting (FACS). Melanocytes grown in vitro expressed low levels of ICAM-1, which could be increased by exposing the cells to IFN-G, TNF-alpha, or IL-1 alpha. Each cytokine caused an enhancement of melanocyte ICAM-1 expression in a dose-dependent fashion. The lowest dose necessary to cause a significant increase in melanocyte ICAM-1 expression was 1 U/ml IFN-G, 0.3 ng/ml TNF-alpha, or 3 U/ml IL-1 alpha. Melanocytes were most sensitive to TNF-alpha stimulation, with the greatest levels of ICAM-1 expression following 30 ng/ml or more TNF-alpha. When IFN-G was added to melanocyte cultures in combination with TNF-alpha or IL-1 alpha, there was an additive increase in ICAM-1 expression but no synergy was noted with the combined cytokines. To our knowledge, this is the first report of melanocyte ICAM-1 induction by TNF-alpha and IL-1 alpha and by physiologically relevant doses of IFN-G. Because of the importance of ICAM-1 in the regulation of immune cell-target interactions, the study of ICAM-1 expression by melanocytes may help us to better understand immune mechanisms of melanocyte injury.
- Published
- 1990
- Full Text
- View/download PDF
23. Metabolism of exogenous leukotrienes by cultured human keratinocytes.
- Author
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Morelli JG, Norris DA, Lyons MB, and Murphy RC
- Subjects
- Binding Sites, Cells, Cultured, Humans, Keratinocytes cytology, Leukotriene B4 metabolism, Male, SRS-A metabolism, Keratinocytes metabolism, Leukotrienes metabolism
- Abstract
Leukotrienes are involved in diseases associated with a neutrophilic infiltrate. The role of human keratinocytes in the metabolism and inactivation of leukotrienes has not been thoroughly examined. We added exogenous radioactive leukotrienes to cultured human keratinocytes and evaluated the metabolic products using high-performance liquid chromatography. Over a 24-h period, unstimulated cultured keratinocytes convert leukotriene B4 to unidentified polar molecules. Leukotriene C4 is converted to a leukotriene D4/leukotriene E4-like product. Cultured human keratinocytes have the ability to metabolize leukotrienes and thus the keratinocyte may play a major role in the in vivo metabolism of leukotrienes produced during inflammatory dermatoses.
- Published
- 1990
- Full Text
- View/download PDF
24. Binding of antibodies to the extractable nuclear antigens SS-A/Ro and SS-B/La is induced on the surface of human keratinocytes by ultraviolet light (UVL): implications for the pathogenesis of photosensitive cutaneous lupus.
- Author
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Furukawa F, Kashihara-Sawami M, Lyons MB, and Norris DA
- Subjects
- Cells, Cultured, Dose-Response Relationship, Radiation, Flow Cytometry, Humans, Keratinocytes immunology, SS-B Antigen, Antibodies immunology, Autoantigens immunology, Lupus Vulgaris etiology, Photosensitivity Disorders etiology, RNA, Small Cytoplasmic, Ribonucleoproteins, Ultraviolet Rays
- Abstract
Autoantibodies to the non-histone nucleoprotein antigens SS-A/Ro, SS-B/La, and RNP are highly associated with photosensitive cutaneous lupus erythematosus (LE). In order to better understand the potential mechanisms of ultraviolet (UV) light on photosensitivity in patients with cutaneous LE, we designed immunopathologic in vitro and in vivo experiments to evaluate the effects of UV on the binding of such autoantibodies to the surface of human keratinocytes, one major target of immunologic damage in photosensitive LE. Short-term 2% paraformaldehyde fixation of suspensions of cultured human keratinocytes previously incubated with monospecific antiserum probes enabled the detection of ENA expression on the cell surface by flow-cytometry analysis. UVB light (280-320 nm) induced the binding of monospecific antibody probes for SS-A/Ro and SS-B/La on keratinocytes in a dose-dependent pattern with maximal induction observed at the dose of 200 mJ/cm2 UVB. Binding of SS-A/Ro, SS-B/La, and RNP antibody was augmented strongly, but binding of anti-Sm was very weak. In contrast, UVA (320-400 nm) light had no effect on the induction of binding of these antibody probes. Identical results were seen by standard immunofluorescence techniques. Hydroxyurea-treated keratinocytes showed similar induction of those antigens by UVB irradiation, which suggested that ENA expression on cultured keratinocytes by UVB were cell-cycle independent. Tunicamycin, an inhibitor of glycosylation of proteins, reduced UVB light effect on the SS-A/Ro and SS-B/La antigen's expression. These in vitro FACS analyses revealed that ENA augmentation on the keratinocyte cell surface was dose dependent, UVB dependent, glycosylation dependent, and cell-cycle independent. In vivo ENA augmentation on the keratinocyte surface was examined in suction blister epidermal roofs. Specific antibody probes for SS-A/Ro, SS-B/La, RNP, and Sm bound to human keratinocytes in intact suction blister epidermis following UVL irradiation in vivo. Using three different protocols, we have demonstrated that antibodies to SS-A/Ro, SS-B/La, and U1RNP bind to UVL-irradiated human keratinocytes. We speculate that this antibody binding is an important inducer of antibody dependent keratinocyte damage in photosensitive cutaneous lupus.
- Published
- 1990
- Full Text
- View/download PDF
25. Characterization and practical benefits of keratinocytes cultured in strontium-containing serum-free medium.
- Author
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Furukawa F, Huff JC, Lyons MB, Weston WL, and Norris DA
- Subjects
- Cell Count drug effects, Cell Cycle drug effects, Cell Division drug effects, Cell Survival drug effects, Cells, Cultured, Culture Media, Fibroblasts cytology, Fibroblasts drug effects, Fluorescent Antibody Technique, Humans, Melanocytes cytology, Melanocytes drug effects, Cytological Techniques standards, Epidermal Cells, Keratins, Strontium pharmacology
- Abstract
Strontium (Sr2+) can substitute for Ca2+ and stimulate a variety of functions of numerous types of cells. The purpose of this study was to investigate the details of the biologic effects of Sr2+ on human keratinocyte growth, cell cycle, viability, and differentiation and to compare these effects with Sr2+ effects on cultured skin melanocytes. Cultured keratinocytes stimulated with 1.0-3.0 mM Sr2+ showed higher viability and almost a twofold increase in cell number compared with those grown in a standard calcium concentration. Time course studies revealed that 2.0 mM Sr2+ had no effects on growth of cultured melanocytes or fibroblasts. Sr2+ increased the percentage of cultured keratinocytes in G2/M phase, with a decrease in cells in G0/G1 phase. This effect of Sr2+ on the cell cycle was not seen in cultured melanocytes or fibroblasts. A 2 mM concentration of Sr2+ produced an increase in low-density keratinocytes separated by a Percoll gradient. In addition, increased expression of human fibronectin was observed in the cytoplasm and on cell membranes of keratinocytes cultured in Sr2+. Sr2+ can be of practical benefit in the culture of human keratinocytes in serum-free medium, increasing the viability and proliferative rate and producing a more uniform population of basaloid cells with increased expression of cell surface fibronectin.
- Published
- 1988
- Full Text
- View/download PDF
26. Leukotrienes C4 and D4 as potent mitogens for cultured human neonatal melanocytes.
- Author
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Morelli JG, Yohn JJ, Lyons MB, Murphy RC, and Norris DA
- Subjects
- Cells, Cultured, Growth drug effects, Humans, Infant, Newborn, Male, Melanocytes physiology, Melanocytes drug effects, SRS-A pharmacology
- Abstract
Arachidonic acid and its metabolites (eicosanoids) are membrane-derived inflammatory mediators with a diverse set of biologic properties affecting numerous cells and organ systems, including the skin. They have been implicated in the pathogenesis of inflammatory skin disease and post-inflammatory hyperpigmentation. We have studied the ability of arachidonic acid, prostaglandin D2, prostaglandin E2, leukotriene B4, leukotriene C4, leukotriene D4, and leukotriene E4 to enhance the growth of cultured human melanocytes. Of these compounds, only leukotriene C4 and leukotriene D4 were capable of stimulating melanocyte proliferation. In addition, cultured melanocytes metabolized leukotriene C4 to leukotriene E4 with greater than 60% conversion in less than three hours. Melanocytes grown on suboptimal media (doubling time 12-20 days) respond in a dose-dependent fashion to leukotriene C4, with a significant difference from control noted at 28 days with a concentration of LTC4 of 30 nM and a doubling time of 5-8 days. We feel that leukotriene C4 and D4 could play an important role in post-inflammatory melanocyte hyperplasia.
- Published
- 1989
- Full Text
- View/download PDF
27. Development of an in vitro keratinocyte model for use in the study of HSV specific cytotoxicity.
- Author
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Brice SL, Norris DA, Weston WL, Tedder DG, Lyons MB, Furukawa F, and Huff JC
- Subjects
- Acridine Orange, Acyclovir pharmacology, Animals, Antigens, Viral immunology, Cells, Cultured, Cytotoxicity Tests, Immunologic, Epidermis immunology, Ethidium, Herpes Simplex immunology, Herpes Simplex pathology, Cytotoxicity, Immunologic, Epidermal Cells, Epitopes, Keratins immunology, Simplexvirus immunology
- Abstract
Herpes simplex virus (HSV) specific immune mediated cytotoxicity may be involved in control of HSV infections and in the tissue damage induced by HSV infection or HSV related skin disease such as herpes associated erythema multiforme. Developing an in vitro model to study this process has proved difficult due to the lack of an appropriate target cell that will express HSV antigens but is not simultaneously subject to viral induced cell death. The purpose of this study was to develop a model in which keratinocytes express cell surface HSV specific antigens but at the same time are protected from death due to viral infection. We found that keratinocytes infected with HSV in the presence of acyclovir (ACV) expressed such antigens yet remained viable for a period of time after the onset of antigen expression such that cytotoxicity studies could be successfully performed. Rabbit skin cells, a transformed keratinocyte line, or second passage human neonatal foreskin keratinocytes were grown in culture medium with or without 200 microM ACV and were infected with HSV. Examination by direct immunofluorescence with anti-HSV antibody revealed uniform HSV antigen expression by cells both with and without ACV by 8 h after infection. Cells infected without ACV exhibited marked structural abnormalities including formation of multinucleated giant cells, while cells with ACV showed fewer such changes throughout a 24-h period. An Ethidium Bromide-Acridine Orange cytotoxicity assay demonstrated significant increases in the cytotoxicity of infected cells not protected by ACV compared to that of cells with ACV (p less than .001). This in vitro model should prove useful in the investigation of HSV specific immune mediated cytotoxicity.
- Published
- 1988
- Full Text
- View/download PDF
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