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Full-Text Articles in Physical Sciences and Mathematics

Effects Of Control Release Fertilizers On Nutrient Leaching, Palm Growth And Production Cost, Pushpa Soti, Angie Fleurissaint, Stewart Reed, Krish Jayachandran Nov 2015

Effects Of Control Release Fertilizers On Nutrient Leaching, Palm Growth And Production Cost, Pushpa Soti, Angie Fleurissaint, Stewart Reed, Krish Jayachandran

Department of Earth and Environment

Objective of this study was to evaluate the effect of different controlled release fertilizer technologies on nutrient leaching and plant growth parameters of two palm species, Chinese Fan (Livistona chinensis) and Queen (Syagrus romanzoffiana). We compared Nutri-Pak (12-4-12 controlled release packet) and Harrell’s (12-4-12 controlled release polymer coated urea) against Atlantic (8-4-12 controlled release polymer coated urea, coated sulfate of potash), the most commonly used palm fertilizer in South Florida. Plants were grown in 25 cm (11 L) pots under 70% shade, watered weekly, with pest and weed control done as required. Plant growth parameters: number of leaves, leaf length …


4th International Symposium On Sensor Science (I3s2015): Conference Report, Peter Seitz, Debbie G. Senesky, Michael J. Schöning, Peter C. Hauser, Roland Moser, Hans Peter Herzig, Assefa M. Melesse, Patricia A. Broderick, Patrick Thomas Eugester Sep 2015

4th International Symposium On Sensor Science (I3s2015): Conference Report, Peter Seitz, Debbie G. Senesky, Michael J. Schöning, Peter C. Hauser, Roland Moser, Hans Peter Herzig, Assefa M. Melesse, Patricia A. Broderick, Patrick Thomas Eugester

Department of Earth and Environment

No abstract provided.


Performance Of High Resolution Satellite Rainfall Products Over Data Scarce Parts Of Eastern Ethiopia, Shimelis B. Gebere, Tena Alamirew, Broder J. Merkel, Assefa M. Melesse Sep 2015

Performance Of High Resolution Satellite Rainfall Products Over Data Scarce Parts Of Eastern Ethiopia, Shimelis B. Gebere, Tena Alamirew, Broder J. Merkel, Assefa M. Melesse

Department of Earth and Environment

Accurate estimation of rainfall in mountainous areas is necessary for various water resource-related applications. Though rain gauges accurately measure rainfall, they are rarely found in mountainous regions and satellite rainfall data can be used as an alternative source over these regions. This study evaluated the performance of three high-resolution satellite rainfall products, the Tropical Rainfall Measuring Mission (TRMM 3B42), the Global Satellite Mapping of Precipitation (GSMaP_MVK+), and the Precipitation Estimation from Remotely-Sensed Information using Artificial Neural Networks (PERSIANN) at daily, monthly, and seasonal time scales against rain gauge records over data-scarce parts of Eastern Ethiopia. TRMM 3B42 rain products show …


Effect Of Yangtze River On Population Genetic Structure Of The Relict Plant Parrotia Subaequalis In Eastern Chin, Qifang Geng, Zhingang Yao, Jie Yang, Jia He, Danbi Wong, Zhongsheng Wang, H. Liu Aug 2015

Effect Of Yangtze River On Population Genetic Structure Of The Relict Plant Parrotia Subaequalis In Eastern Chin, Qifang Geng, Zhingang Yao, Jie Yang, Jia He, Danbi Wong, Zhongsheng Wang, H. Liu

Department of Earth and Environment

Parrotia subaequalis (Hamamelidaceae) is a Tertiary relic species endemic in eastern China. We used inter-simple sequence repeat (ISSR) markers to access genetic diversity and population genetic structure in natural five populations of P. subaequalis. The levels of genetic diversity were higher at species level (H = 0.2031) but lower at population level (H = 0.1096). The higher genetic diversity at species levels might be attributed to the accumulation of distinctive genotypes which adapted to the different habitats after Quaternary glaciations. Meanwhile, founder effects on the early stage, and subsequent bottleneck of population regeneration due to its biological characteristics, environmental features, …


Flow Regime Classification And Hydrological Characterization: A Case Study Of Ethiopian Rivers, Belete Berhanu, Yilma Seleshi, Solomon S. Demisse, Assefa M. Melesse Jun 2015

Flow Regime Classification And Hydrological Characterization: A Case Study Of Ethiopian Rivers, Belete Berhanu, Yilma Seleshi, Solomon S. Demisse, Assefa M. Melesse

Department of Earth and Environment

The spatiotemporal variability of a stream flow due to the complex interaction of catchment attributes and rainfall induce complexity in hydrology. Researchers have been trying to address this complexity with a number of approaches; river flow regime is one of them. The flow regime can be quantified by means of hydrological indices characterizing five components: magnitude, frequency, duration, timing, and rate of change of flow. Similarly, this study aimed to understand the flow variability of Ethiopian Rivers using the observed daily flow data from 208 gauging stations in the country. With this process, the Hierarchical Ward Clustering method was implemented …


Supervised Classification Of Benthic Reflectance In Shallow Subtropical Waters Using A Generalized Pixel-Based Classifier Across A Time Series, Tara Blakey, Assefa M. Melesse, Margaret O. Hall Apr 2015

Supervised Classification Of Benthic Reflectance In Shallow Subtropical Waters Using A Generalized Pixel-Based Classifier Across A Time Series, Tara Blakey, Assefa M. Melesse, Margaret O. Hall

Department of Earth and Environment

We tested a supervised classification approach with Landsat 5 Thematic Mapper (TM) data for time-series mapping of seagrass in a subtropical lagoon. Seagrass meadows are an integral link between marine and inland ecosystems and are at risk from upstream processes such as runoff and erosion. Despite the prevalence of image-specific approaches, the classification accuracies we achieved show that pixel-based spectral classes may be generalized and applied to a time series of images that were not included in the classifier training. We employed in-situ data on seagrass abundance from 2007 to 2011 to train and validate a classification model. We created …


Development And Characterization Of Polymorphic Microsatellite Markers (Ssrs) For An Endemic Plant, Pseudolarix Amabilis (Nelson) Rehd. (Pinaceae), Qi-Fang Geng, Jun Liu, Lin Sun, Hong Liu, Yan Ou-Yang, Ying Cai, Xin-Sheng Tang, Hong-Wei Zhang, Zhing-Sheng Wang, Shu-Qing An Feb 2015

Development And Characterization Of Polymorphic Microsatellite Markers (Ssrs) For An Endemic Plant, Pseudolarix Amabilis (Nelson) Rehd. (Pinaceae), Qi-Fang Geng, Jun Liu, Lin Sun, Hong Liu, Yan Ou-Yang, Ying Cai, Xin-Sheng Tang, Hong-Wei Zhang, Zhing-Sheng Wang, Shu-Qing An

Department of Earth and Environment

Pseudolarix (Pinaceae) is a vulnerable (sensu IUCN) monotypic genus restricted to southeastern China. To better understand levels of genetic diversity, population structure and gene flow among populations of P. amabilis, we developed five compound SSR markers and ten novel polymorphic expressed sequence tags (EST) derived microsatellites. The results showed that all 15 loci were polymorphic with the number of alleles per locus ranging from two to seven. The expected and observed heterozygosities varied from 0.169 to 0.752, and 0.000 to 1.000, respectively. The inbreeding coefficient ranged from −0.833 to 1.000. These markers will contribute to research on genetic diversity and …


Sensors Best Paper Award 2015, Vittorio M.N. Passaro, W. Rudolf Seitz, Assefa M. Melesse, Alexander Star, Leonhard Reindl Jan 2015

Sensors Best Paper Award 2015, Vittorio M.N. Passaro, W. Rudolf Seitz, Assefa M. Melesse, Alexander Star, Leonhard Reindl

Department of Earth and Environment

Since 2011, an annual award system was instituted to recognize outstanding Sensors papers that are related to sensing technologies and applications and meet the aims, scope and high standards of this journal [1–4]. This year, the winners were chosen by the Section Editor-in-Chiefs of Sensors from among all the papers published in 2011 to track citations. Reviews and full research articles were considered separately. We gladly announce that the following eight papers were awarded the Sensors Best Paper Award in 2015.