This page has only limited features, please log in for full access.
In the last decade, many malaria-endemic countries, like Zambia, have achieved significant reductions in malaria incidence among children <5 years old but face ongoing challenges in achieving similar progress against malaria in older age groups. In parts of Zambia, changing climatic and environmental factors are among those suspectedly behind high malaria incidence. Changes and variations in these factors potentially interfere with intervention program effectiveness and alter the distribution and incidence patterns of malaria differentially between young children and the rest of the population. We used parametric and non-parametric statistics to model the effects of climatic and socio-demographic variables on age-specific malaria incidence vis-à-vis control interventions. Linear regressions, mixed models, and Mann-Kendall tests were implemented to explore trends, changes in trends, and regress malaria incidence against environmental and intervention variables. Our study shows that while climate parameters affect the whole population, their impacts are felt most by people aged ≥5 years. Climate variables influenced malaria substantially more than mosquito nets and indoor residual spraying interventions. We establish that climate parameters negatively impact malaria control efforts by exacerbating the transmission conditions via more conducive temperature and rainfall environments, which are augmented by cultural and socioeconomic exposure mechanisms. We argue that an intensified communications and education intervention strategy for behavioural change specifically targeted at ≥5 aged population where incidence rates are increasing, is urgently required and call for further malaria stratification among the ≥5 age groups in the routine collection, analysis and reporting of malaria mortality and incidence data.
Jailos Lubinda; Ubydul Haque; Yaxin Bi; Muhammad Yousaf Shad; David Keellings; Busiku Hamainza; Adrian J. Moore. Climate change and the dynamics of age-related malaria incidence in Southern Africa. Environmental Research 2021, 197, 111017 .
AMA StyleJailos Lubinda, Ubydul Haque, Yaxin Bi, Muhammad Yousaf Shad, David Keellings, Busiku Hamainza, Adrian J. Moore. Climate change and the dynamics of age-related malaria incidence in Southern Africa. Environmental Research. 2021; 197 ():111017.
Chicago/Turabian StyleJailos Lubinda; Ubydul Haque; Yaxin Bi; Muhammad Yousaf Shad; David Keellings; Busiku Hamainza; Adrian J. Moore. 2021. "Climate change and the dynamics of age-related malaria incidence in Southern Africa." Environmental Research 197, no. : 111017.
Proloy Deb; Hamid Moradkhani; Peyman Abbaszadeh; Anthony S. Kiem; Johanna Engström; David Keellings; Ashish Sharma. Causes of the Widespread 2019–2020 Australian Bushfire Season. Earth's Future 2020, 8, 1 .
AMA StyleProloy Deb, Hamid Moradkhani, Peyman Abbaszadeh, Anthony S. Kiem, Johanna Engström, David Keellings, Ashish Sharma. Causes of the Widespread 2019–2020 Australian Bushfire Season. Earth's Future. 2020; 8 (11):1.
Chicago/Turabian StyleProloy Deb; Hamid Moradkhani; Peyman Abbaszadeh; Anthony S. Kiem; Johanna Engström; David Keellings; Ashish Sharma. 2020. "Causes of the Widespread 2019–2020 Australian Bushfire Season." Earth's Future 8, no. 11: 1.
Information and material biological legacies that persist after catastrophic forest disturbance collectively constitute the ecological memory of the system and may strongly influence future stand development. Catastrophic disturbances often result in an influx of coarse woody debris (CWD), and this material legacy may provide beneficial microsites that affect successional and structural developmental pathways. We examined how microenvironmental characteristics influence the regeneration of woody plants in a subtropical woodland that experienced a large influx of CWD from a catastrophic wind disturbance. Specifically, we asked (1) what microenvironmental factors best explain woody plant density, richness, and height in the regeneration layer and (2) does woody plant density, richness, and height benefit from the large influx of CWD to a degree that competition dynamics and succession may be modified? Data were collected in a Pinus palustris woodland that had experienced an EF3 tornado and was subjected to a four-year prescribed fire rotation. We documented live woody plants
Alexandra T. Logan; Jonathan D. Goode; David J. Keellings; Justin L. Hart. Microsite Influence on Woody Plant Regeneration in a Pinus palustris Woodland Following Catastrophic Disturbance. Forests 2020, 11, 588 .
AMA StyleAlexandra T. Logan, Jonathan D. Goode, David J. Keellings, Justin L. Hart. Microsite Influence on Woody Plant Regeneration in a Pinus palustris Woodland Following Catastrophic Disturbance. Forests. 2020; 11 (5):588.
Chicago/Turabian StyleAlexandra T. Logan; Jonathan D. Goode; David J. Keellings; Justin L. Hart. 2020. "Microsite Influence on Woody Plant Regeneration in a Pinus palustris Woodland Following Catastrophic Disturbance." Forests 11, no. 5: 588.
Heat waves have pronounced impacts on human health, ecosystems, and society. Heat waves have become more frequent and intense globally and are likely to intensify further in a warming climate. Across the United States there is a warming trend in average surface temperatures, but concordant increase in heat wave severity appears absent. Limitations in heat waves studies may be responsible for limited detection of a heat wave warming signal. We track daily spatiotemporal evolution of heat waves using geometric concepts and clustering algorithms to investigate how heat manifests on the land surface. We develop a spatial metric combining heat wave frequency, magnitude, duration, and areal extent. We find mixed trends in some individual heat wave characteristics across the United States during 1981–2018. However, exploration of the spatiotemporal evolution of combined heat wave characteristics shows considerable increases during this period and indicates a substantial increase in heat wave hazard across the United States.
David Keellings; Hamid Moradkhani. Spatiotemporal Evolution of Heat Wave Severity and Coverage Across the United States. Geophysical Research Letters 2020, 47, 1 .
AMA StyleDavid Keellings, Hamid Moradkhani. Spatiotemporal Evolution of Heat Wave Severity and Coverage Across the United States. Geophysical Research Letters. 2020; 47 (9):1.
Chicago/Turabian StyleDavid Keellings; Hamid Moradkhani. 2020. "Spatiotemporal Evolution of Heat Wave Severity and Coverage Across the United States." Geophysical Research Letters 47, no. 9: 1.
Hurricane Maria was associated with record breaking rainfall over Puerto Rico and caused unprecedented flooding and landslides. Here we analyze the extreme rainfall produced by Hurricane Maria using 35 stations with daily precipitation data from 1956‐2016. A covariate‐based extreme value analysis (EVA) point process approach that accounts for natural climate variability and long‐term climate change influences on extreme rainfall is applied. Hurricane Maria produced the single largest maximum rainfall event since 1956 and had the highest total averaged precipitation of 129 storms that have impacted the island since 1956. Return periods for an event of Hurricane Maria's precipitation magnitude decreased in 48.6% of stations across Puerto Rico and at least halved when averaged across the island. Within the most affected areas it is likely that the probability of precipitation of Maria's magnitude has increased by a factor greater than 1 (best estimate 4.85) as a result of long‐term climate trends.
David Keellings; José J. Hernández Ayala. Extreme Rainfall Associated With Hurricane Maria Over Puerto Rico and Its Connections to Climate Variability and Change. Geophysical Research Letters 2019, 46, 2964 -2973.
AMA StyleDavid Keellings, José J. Hernández Ayala. Extreme Rainfall Associated With Hurricane Maria Over Puerto Rico and Its Connections to Climate Variability and Change. Geophysical Research Letters. 2019; 46 (5):2964-2973.
Chicago/Turabian StyleDavid Keellings; José J. Hernández Ayala. 2019. "Extreme Rainfall Associated With Hurricane Maria Over Puerto Rico and Its Connections to Climate Variability and Change." Geophysical Research Letters 46, no. 5: 2964-2973.
After being repeatedly struck by droughts in the last few decades, water managers and stakeholders in the Southeast U.S. dread the future extremes that climate change might cause. In this study, the length of future dry periods is assessed using a sub-ensemble of downscaled CMIP5 climate models, which are proven to perform well in precipitation estimations. The length of a dry spell with a twenty-year return period is estimated for the cold and warm seasons for two time periods; 2020–2059 and 2060–2099, and considering two emission scenarios: RCP 4.5 and 8.5. The estimates are then compared with historical dry spells and differences in length and geospatial distribution analyzed. Based on the findings of this paper, little change can be expected in dry spell length during the warm season. Greater changes are to be expected in the cold season in the southern half of Florida, where dry spells are expected to be up to twenty days shorter, while dry spells in Alabama, Mississippi and Tennessee are predicted to be up to twenty days longer. The changes predicted by the models are positively associated with emission trajectory and future time period.
David Keellings; Johanna Engström. The Future of Drought in the Southeastern U.S.: Projections from Downscaled CMIP5 Models. Water 2019, 11, 259 .
AMA StyleDavid Keellings, Johanna Engström. The Future of Drought in the Southeastern U.S.: Projections from Downscaled CMIP5 Models. Water. 2019; 11 (2):259.
Chicago/Turabian StyleDavid Keellings; Johanna Engström. 2019. "The Future of Drought in the Southeastern U.S.: Projections from Downscaled CMIP5 Models." Water 11, no. 2: 259.
Intense precipitation events (IPE; 99th percentile) in the southeastern United States from 1950 to 2016 were analysed temporally, spatially, and synoptically. The study area was partitioned into latitudinal and physiographic regions to identify subregions that experienced significant changes in IPE frequency or intensity. Furthermore, the spatial synoptic classification (SSC) was used to ascertain what surface weather types are associated with IPEs. Additionally, in conjunction with the SSC, surface forcing mechanisms for the 30 most extreme subregional IPEs were studied to uncover the surface synoptic conditions responsible for IPEs. Results revealed that IPEs increased in frequency and intensity on an annual basis for the southeastern United States. Seasonal results indicated that IPE frequency only increased in the fall. Subregional results reveal that latitudinally, IPEs became more common in the northern latitudes of the study area, while physiographically, significant increases in IPE frequency were most pronounced in areas inland from the Atlantic Coastal Plain. An increase in the annual number of IPEs associated with moist tropical (MT) days was identified across the study area, but was more prevalent in the central and north central latitudinal regions, and areas inland from the Atlantic Coastal Plain outside of the Appalachian Mountains. This MT increase was possibly caused by more common northwards and inland intrusion of these types of IPEs. While moist moderate (MM) and transitional (TR) days were most commonly associated with IPEs, these weather types did not have significant trends. The surface forcing mechanisms most commonly associated with the strongest IPEs were tropical events, followed by stationary fronts and concentric low‐pressure systems.
Walker J. Skeeter; Jason C. Senkbeil; David J. Keellings. Spatial and temporal changes in the frequency and magnitude of intense precipitation events in the southeastern United States. International Journal of Climatology 2018, 39, 768 -782.
AMA StyleWalker J. Skeeter, Jason C. Senkbeil, David J. Keellings. Spatial and temporal changes in the frequency and magnitude of intense precipitation events in the southeastern United States. International Journal of Climatology. 2018; 39 (2):768-782.
Chicago/Turabian StyleWalker J. Skeeter; Jason C. Senkbeil; David J. Keellings. 2018. "Spatial and temporal changes in the frequency and magnitude of intense precipitation events in the southeastern United States." International Journal of Climatology 39, no. 2: 768-782.
J Engström; D Keellings. Drought in the Southeastern USA: an assessment of downscaled CMIP5 models. Climate Research 2018, 74, 251 -262.
AMA StyleJ Engström, D Keellings. Drought in the Southeastern USA: an assessment of downscaled CMIP5 models. Climate Research. 2018; 74 (3):251-262.
Chicago/Turabian StyleJ Engström; D Keellings. 2018. "Drought in the Southeastern USA: an assessment of downscaled CMIP5 models." Climate Research 74, no. 3: 251-262.
Heat waves are occurring more frequently across the globe and are likely to increase in intensity and duration under climate change. Much work has already been completed on attributing causes of observed heat waves and on modeling their future occurrence, but such efforts are often lacking in exploration of spatial relationships. Based on principles of landscape ecology, we utilized fragmentation metrics to examine the spatiotemporal changes in heat wave shape and occurrence across North America. This methodological approach enables us to examine area, shape, perimeter, and other key metrics. The application of these shape metrics to high-resolution historical (1950–2013) climate data reveals that the total number and spatial extent of heat waves are increasing over the continent, but at an individual heat wave patch level, they are becoming significantly smaller in extent and more complex in shape, indicating that heat waves have become a more widespread and fragmented phenomena.
David Keellings; Erin Bunting; Johanna Engström. Spatiotemporal changes in the size and shape of heat waves over North America. Climatic Change 2018, 147, 165 -178.
AMA StyleDavid Keellings, Erin Bunting, Johanna Engström. Spatiotemporal changes in the size and shape of heat waves over North America. Climatic Change. 2018; 147 (1-2):165-178.
Chicago/Turabian StyleDavid Keellings; Erin Bunting; Johanna Engström. 2018. "Spatiotemporal changes in the size and shape of heat waves over North America." Climatic Change 147, no. 1-2: 165-178.
José J. Hernández Ayala; David Keellings; Peter R. Waylen; Corene J. Matyas. Extreme floods and their relationship with tropical cyclones in Puerto Rico. Hydrological Sciences Journal 2017, 62, 2103 -2119.
AMA StyleJosé J. Hernández Ayala, David Keellings, Peter R. Waylen, Corene J. Matyas. Extreme floods and their relationship with tropical cyclones in Puerto Rico. Hydrological Sciences Journal. 2017; 62 (13):2103-2119.
Chicago/Turabian StyleJosé J. Hernández Ayala; David Keellings; Peter R. Waylen; Corene J. Matyas. 2017. "Extreme floods and their relationship with tropical cyclones in Puerto Rico." Hydrological Sciences Journal 62, no. 13: 2103-2119.
Landslides are a major hazard causing human and large economic losses worldwide. However, the quantification of fatalities and casualties is highly underestimated and incomplete, thus, the estimation of landslide risk is rather ambitious. Hence, a spatio-temporal distribution of deadly landslides is presented for 27 European countries over the last 20 years (1995–2014). Catastrophic landslides are widely distributed throughout Europe, however, with a great concentration in mountainous areas. In the studied period, a total of 1370 deaths and 784 injuries were reported resulting from 476 landslides. Turkey showed the highest fatalities with 335. An increasing trend of fatal landslides is observed, with a pronounced number of fatalities in the latest period from 2008 to 2014. The latter are mostly triggered by natural extreme events such as storms (i.e., heavy rainfall), earthquakes, and floods and only minor by human activities, such as mining and excavation works. Average economic loss per year in Europe is approximately 4.7 billion Euros. This study serves as baseline information for further risk mapping by integrating deadly landslide locations, local land use data, and will therefore help countries to protect human lives and property.
Ubydul Haque; Philipp Blum; Paula F. da Silva; Peter Andersen; Jürgen Pilz; Sergey R. Chalov; Jean-Philippe Malet; Mateja Jemec Auflič; Norina Andres; Eleftheria Poyiadji; Pedro Cunha Lamas; Wenyi Zhang; Igor Peshevski; Halldór G. Pétursson; Tayfun Kurt; Nikolai Dobrev; Juan Carlos García López-Davalillo; Matina Halkia; Stefano Ferri; George Gaprindashvili; Johanna Engström; David Keellings. Fatal landslides in Europe. Landslides 2016, 13, 1545 -1554.
AMA StyleUbydul Haque, Philipp Blum, Paula F. da Silva, Peter Andersen, Jürgen Pilz, Sergey R. Chalov, Jean-Philippe Malet, Mateja Jemec Auflič, Norina Andres, Eleftheria Poyiadji, Pedro Cunha Lamas, Wenyi Zhang, Igor Peshevski, Halldór G. Pétursson, Tayfun Kurt, Nikolai Dobrev, Juan Carlos García López-Davalillo, Matina Halkia, Stefano Ferri, George Gaprindashvili, Johanna Engström, David Keellings. Fatal landslides in Europe. Landslides. 2016; 13 (6):1545-1554.
Chicago/Turabian StyleUbydul Haque; Philipp Blum; Paula F. da Silva; Peter Andersen; Jürgen Pilz; Sergey R. Chalov; Jean-Philippe Malet; Mateja Jemec Auflič; Norina Andres; Eleftheria Poyiadji; Pedro Cunha Lamas; Wenyi Zhang; Igor Peshevski; Halldór G. Pétursson; Tayfun Kurt; Nikolai Dobrev; Juan Carlos García López-Davalillo; Matina Halkia; Stefano Ferri; George Gaprindashvili; Johanna Engström; David Keellings. 2016. "Fatal landslides in Europe." Landslides 13, no. 6: 1545-1554.
Downscaled CMIP5 (Coupled Model Intercomparison Project Phase 5) climate projections of maximum daily temperature from the Downscaled CMIP3 and CMIP5 Climate and Hydrology Projections archive are examined regionally over the southeastern United States. Three measures of model skill (means-based, distribution-based, extreme-based) are utilized to assess the ability of 15 downscaled models to simulate daily maximum temperature observations. A new test is proposed to determine statistical significance of the probability density function-based skill measures. Skill scores are found to be generally high for all three measures throughout the study region, but lower scores are present in coastal and mountainous areas. Application of the significance test shows that while the skill scores may be high, they are not significantly higher than could be expected at random in some areas. The distribution-based skill scores are not significant in much of Florida and the Appalachians. The extreme-based skill scores are not significant in more than 90% of the region for all models investigated. The findings suggest that although the downscaled models have simulated observed means well and are a good match to the entire distribution of observations, they are not simulating the occurrence of extreme (above 90th percentile) maximum daily temperatures.
David Keellings. Evaluation of downscaled CMIP5 model skill in simulating daily maximum temperature over the southeastern United States. International Journal of Climatology 2016, 36, 4172 -4180.
AMA StyleDavid Keellings. Evaluation of downscaled CMIP5 model skill in simulating daily maximum temperature over the southeastern United States. International Journal of Climatology. 2016; 36 (12):4172-4180.
Chicago/Turabian StyleDavid Keellings. 2016. "Evaluation of downscaled CMIP5 model skill in simulating daily maximum temperature over the southeastern United States." International Journal of Climatology 36, no. 12: 4172-4180.
Following rapid population growth and urbanization in Florida, there is an increased demand for energy. The state currently gets more than 50% of its electricity from burning imported natural gas. As the future of fossil fuels is uncertain and their impact on climate has proven negative, one could expect great potential and interest in further developing the solar industry, which utilizes the most prominent of renewable energy sources in Florida. Solar energy production is dependent on the supply of clear skies and plentiful insolation. This paper seeks to explain variations in the number of clear sunny days by identifying the months with clearest (cloudiest) sky conditions during the years 1950–2009 in relation to some of the most dominant low frequency climate patterns of variability in the Northern Hemisphere. The hypergeometric distribution is used to test for significant association between the phases of El Niño Southern Oscillation (ENSO), North Atlantic Oscillation, Pacific-North American, and Atlantic Multi-decadal Oscillation (AMO) and cloud cover in Florida. We find that ENSO and AMO significantly impact the occurrence of clear/cloudy skies with the warm phase of ENSO associated with cloudier conditions across much of the state and the warm phase of AMO bringing clearer conditions to northern stations.
David Keellings; Johanna Engström; Peter Waylen. The sunshine state: investigating external drivers of sky conditions. Physical Geography 2015, 36, 113 -126.
AMA StyleDavid Keellings, Johanna Engström, Peter Waylen. The sunshine state: investigating external drivers of sky conditions. Physical Geography. 2015; 36 (2):113-126.
Chicago/Turabian StyleDavid Keellings; Johanna Engström; Peter Waylen. 2015. "The sunshine state: investigating external drivers of sky conditions." Physical Geography 36, no. 2: 113-126.
Maximum and minimum daily temperatures from the second half of the twentieth century are examined using a high resolution dataset of 833 grid cells across the state of Florida. A bivariate extreme value analysis point process approach is used to model characteristics including the frequency, magnitude, duration, and timing of periods or heat waves during which both daily maximum and minimum temperatures exceed their respective 90th percentile thresholds. The temperature dataset is combined with indices of the El Niño-Southern Oscillation (ENSO) and the Atlantic multi-decadal oscillation (AMO) to explore the influence of these oscillations on heat wave characteristics in Florida. In order to investigate the influence of a time varying signal (ENSO and AMO) on heat waves the signals are introduced into non-stationary models as covariates in the location and log-transformed scale parameters. The improvements to the model obtained by introducing covariates are examined using the deviance statistic whereby the difference in negative log-likelihood values between two models is tested for significance using a Chi squared distribution. Significant improvements in the non-stationary models with ENSO and AMO covariates indicate spatially varying impacts in the frequency, magnitude, and duration of heat waves. In particular, the warm phase of the AMO brings heat waves earlier in the summertime while also increasing their magnitude, frequency, and duration.
David Keellings; Peter Waylen. Investigating teleconnection drivers of bivariate heat waves in Florida using extreme value analysis. Climate Dynamics 2014, 44, 3383 -3391.
AMA StyleDavid Keellings, Peter Waylen. Investigating teleconnection drivers of bivariate heat waves in Florida using extreme value analysis. Climate Dynamics. 2014; 44 (11-12):3383-3391.
Chicago/Turabian StyleDavid Keellings; Peter Waylen. 2014. "Investigating teleconnection drivers of bivariate heat waves in Florida using extreme value analysis." Climate Dynamics 44, no. 11-12: 3383-3391.
C Photiadou; Jones; David Keellings; Cf Dewes; Candida Dewes. Modeling European hot spells using extreme value analysis. Climate Research 2014, 58, 193 -207.
AMA StyleC Photiadou, Jones, David Keellings, Cf Dewes, Candida Dewes. Modeling European hot spells using extreme value analysis. Climate Research. 2014; 58 (3):193-207.
Chicago/Turabian StyleC Photiadou; Jones; David Keellings; Cf Dewes; Candida Dewes. 2014. "Modeling European hot spells using extreme value analysis." Climate Research 58, no. 3: 193-207.
David Keellings; Peter Waylen. Increased risk of heat waves in Florida: Characterizing changes in bivariate heat wave risk using extreme value analysis. Applied Geography 2014, 46, 90 -97.
AMA StyleDavid Keellings, Peter Waylen. Increased risk of heat waves in Florida: Characterizing changes in bivariate heat wave risk using extreme value analysis. Applied Geography. 2014; 46 ():90-97.
Chicago/Turabian StyleDavid Keellings; Peter Waylen. 2014. "Increased risk of heat waves in Florida: Characterizing changes in bivariate heat wave risk using extreme value analysis." Applied Geography 46, no. : 90-97.
Spatial patterns of changes in the probability, or risks, of annual maximum temperatures over Florida during the second half of the 20th century are examined using a high resolution daily maximum temperature dataset of 833 grid cells. An Annual Maximum Series (AMS) coupled with Extreme Value Theory approach is applied to analyze changes in probabilities of annual maximum temperatures with a focus on the highest third tercile of all annual maximum temperatures during the time period. Three parameters are estimated from the data contained within each grid cell 1) location parameter which is closely related to mean and median, 2) scale parameter which is closely related to variance, and 3) shape parameter which is closely related to skew. The data are then divided into the periods 1949–1974 and 1975–2000 and changes in each of the parameters are mapped. Considerable spatial variability with respect to changes in parameters is found across the state. Much of the state exhibits a decline in both the value of the location and scale parameters with the exception of the southern portion and areas on the Gulf coast in the Panhandle and peninsular Florida. Almost all of the state shows an increase in skew. The Generalized Extreme Value distribution can be used to estimate the probabilities of experiencing particular temperatures or in computing a temperature associated with a certain risk or return period of interest. A simple non-parametric test of significance is carried out to detect changes in the number of annual maxima falling in the upper and lower terciles of events during the first and second halves of the record.
Peter Waylen; David Keellings; Youliang Qiu. Climate and health in Florida: Changes in risks of annual maximum temperatures in the second half of the twentieth century. Applied Geography 2012, 33, 73 -81.
AMA StylePeter Waylen, David Keellings, Youliang Qiu. Climate and health in Florida: Changes in risks of annual maximum temperatures in the second half of the twentieth century. Applied Geography. 2012; 33 ():73-81.
Chicago/Turabian StylePeter Waylen; David Keellings; Youliang Qiu. 2012. "Climate and health in Florida: Changes in risks of annual maximum temperatures in the second half of the twentieth century." Applied Geography 33, no. : 73-81.
The statistical properties of the excursions of maximum daily temperatures above various critical thresholds of interest are analyzed with a view to developing models of heat wave events using more than 100 years of record from meteorological stations in Lake City, DeFuniak Springs, Avon Park, and Fort Myers, Florida. These stochastic variables include; event density (number of such events per unit time), duration, timing, and peak values over the threshold. The theoretical basis for the modeling is found in Crossing Theory. The methodology has the flexibility to extrapolate to such levels while also having the advantage of being able to be applied to spatially differentiated data to determine risks associated with high-temperature events during any time period or at any location of interest.
David Keellings; Peter Waylen. The stochastic properties of high daily maximum temperatures applying crossing theory to modeling high-temperature event variables. Theoretical and Applied Climatology 2011, 108, 579 -590.
AMA StyleDavid Keellings, Peter Waylen. The stochastic properties of high daily maximum temperatures applying crossing theory to modeling high-temperature event variables. Theoretical and Applied Climatology. 2011; 108 (3-4):579-590.
Chicago/Turabian StyleDavid Keellings; Peter Waylen. 2011. "The stochastic properties of high daily maximum temperatures applying crossing theory to modeling high-temperature event variables." Theoretical and Applied Climatology 108, no. 3-4: 579-590.
Gabriella M. Hancock; David J. Keellings; Peter A. Hancock. Perception of Time in Life. PsycEXTRA Dataset 2010, 1 .
AMA StyleGabriella M. Hancock, David J. Keellings, Peter A. Hancock. Perception of Time in Life. PsycEXTRA Dataset. 2010; ():1.
Chicago/Turabian StyleGabriella M. Hancock; David J. Keellings; Peter A. Hancock. 2010. "Perception of Time in Life." PsycEXTRA Dataset , no. : 1.
C.M. Knickerbocker; S. Leitholf; E.L. Stephens; David Keellings; H. Laird; C.J.R. Anderson; J.E. Fauth; P.F. Quintana-Ascencio. Tree Encroachment of A Sawgrass ( Cladium jamaicense ) Marsh within an Increasingly Urbanized Ecosystem. Natural Areas Journal 2009, 29, 15 -26.
AMA StyleC.M. Knickerbocker, S. Leitholf, E.L. Stephens, David Keellings, H. Laird, C.J.R. Anderson, J.E. Fauth, P.F. Quintana-Ascencio. Tree Encroachment of A Sawgrass ( Cladium jamaicense ) Marsh within an Increasingly Urbanized Ecosystem. Natural Areas Journal. 2009; 29 (1):15-26.
Chicago/Turabian StyleC.M. Knickerbocker; S. Leitholf; E.L. Stephens; David Keellings; H. Laird; C.J.R. Anderson; J.E. Fauth; P.F. Quintana-Ascencio. 2009. "Tree Encroachment of A Sawgrass ( Cladium jamaicense ) Marsh within an Increasingly Urbanized Ecosystem." Natural Areas Journal 29, no. 1: 15-26.