Article
Multidisciplinary Sciences
Ayaovi Agbessenou, Komivi S. Akutse, Abdullahi A. Yusuf, Sospeter W. Wekesa, Fathiya M. Khamis
Summary: The study evaluated the thermotolerance and virulence of Metarhizium anisopliae isolates ICIPE 18, ICIPE 20 and ICIPE 665 against Tuta absoluta, finding that ICIPE 18 and ICIPE 20 had higher conidial yield and mortality rates at 30 degrees Celsius. Spatial prediction revealed suitable deployment locations in Kenya, Tanzania and Uganda for these isolates.
SCIENTIFIC REPORTS
(2021)
Article
Entomology
Sahadatou Mama Sambo, Shepard Ndlela, Hannalene du Plessis, Francis Obala, Samira Abuelgasim Mohamed
Summary: This study investigated the most efficient indigenous parasitoids associated with Tuta absoluta in Kenya and their ecological niche suitability. Two parasitoid species, Bracon nigricans and Stenomesius sp. near japonicus, were identified with differences in abundance and ecological niche. Bracon nigricans was considered suitable for biocontrol of T. absoluta.
Article
Engineering, Chemical
Jindong Dai, Chi Zhai, Jiali Ai, Jiaying Ma, Jingde Wang, Wei Sun
Summary: Mathematical modeling, particularly using cellular automaton, is powerful in studying the spread of infectious diseases. A model was proposed and validated using COVID-19 confirmation data from New York City and Iowa, showing different disease spread patterns in different cities. Simulation under different control strategies could provide valuable insights for decision makers in infection control measures in Iowa in the future.
Article
Business
Martin Zoricak, Denis Horvath, Vladimir Gazda, Oto Hudec
Summary: The study introduces a conceptual model of industrial evolution based on agent-based modeling and cellular automata, where poorly fitted firms are repeatedly forced to adapt to a changing environment through partial mutations of their profiles. This model appropriately explains the long-term evolution of industrial economic structures in both time and space by demonstrating how even small changes in industrial profiles can lead to massive waves of firm restructuring and the emergence of new spatial patterns.
JOURNAL OF BUSINESS RESEARCH
(2021)
Article
Forestry
Liyang Sun, Congcong Xu, Yanglangxing He, Yanjun Zhao, Yuan Xu, Xiaoping Rui, Hanwei Xu
Summary: This study combines cellular automata with an existing forest fire model to construct an improved forest fire spread model that can adaptively adjust the time step, improving simulation accuracy and adapting to actual fire development trends.
Article
Physics, Multidisciplinary
Vladimir Garcia-Morales
Summary: This article reports on the replication of arbitrary patterns by reversible and additive cellular automata, providing an explicit description of the orbit and replication process under specific conditions.
JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL
(2022)
Article
Computer Science, Interdisciplinary Applications
Wenyu Jiang, Fei Wang, Linghang Fang, Xiaocui Zheng, Xiaohui Qiao, Zhanghua Li, Qingxiang Meng
Summary: This study developed a fire spread model based on the heterogeneous Cellular Automata model for large-scale complex wildland-urban interface (WUI) areas, and successfully validated its high simulation efficiency, timeliness, and accuracy.
ENVIRONMENTAL MODELLING & SOFTWARE
(2021)
Article
Mathematics, Interdisciplinary Applications
Somaye Moghari, Maryam Ghorani
Summary: This study investigates the pattern of coronavirus spread at different geographical scales and proposes a cellular automata-based model to simulate virus transmission and estimate risk control. By generalizing the symbiosis between cell neighborhood relationships and transmission channels, the proposed model accurately captures long-distance virus transmission and enables high-precision pandemic simulation.
CHAOS SOLITONS & FRACTALS
(2022)
Article
Mathematics, Interdisciplinary Applications
M. Byari, A. Bernoussi, O. Jellouli, M. Ouardouz, M. Amharref
Summary: In this paper, a new dynamic system based on cellular automata is proposed to simulate fire propagation. The model creates and develops new cell types, 3D neighborhoods, and transition rules governing system evolution. It incorporates a multi-scale approach, considering both the heterogeneity of the environment and the simplified perspective on fire propagation.
CHAOS SOLITONS & FRACTALS
(2022)
Article
Geosciences, Multidisciplinary
Nicholas Grieshop, Christopher K. Wikle
Summary: We propose a Bayesian stochastic cellular automata modeling approach to model the spread of wildfires with uncertainty quantification. The model considers a dynamic neighborhood structure and captures additional spatial information, allowing for accurate prediction of fire states.
SPATIAL STATISTICS
(2024)
Article
Engineering, Electrical & Electronic
Tianjun Wu, Jiancheng Luo, Lijing Gao, Yingwei Sun, Yingpin Yang, Ya'nan Zhou, Wen Dong, Xin Zhang
Summary: This study proposes a geoparcel-based spatial prediction method to improve the reliability and accuracy of grassland resource information extraction using irregular geographic objects, i.e., grassland geoparcels. A case experiment in Abag Banner, Inner Mongolia, China, demonstrates that the proposed method achieves good FVC mapping results. Compared to traditional regular grid-based methods, the proposed method shows higher accuracy in predicting FVC, with advantages in sensing tiny spatial heterogeneity at the boundary of grassland change.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
Article
Computer Science, Information Systems
Jinqu Zhang, Yu Ling, A-Xing Zhu, Hongyun Zeng, Jia Song, Yunqiang Zhu, Lang Qian
Summary: Cellular Automata (CA) models are widely used for simulating urban expansion. This study develops a method to measure the spatial anisotropy (SA) of urban areas and integrates it into a CA model. The case study in Huizhou, China, demonstrates that considering SA improves the accuracy of the model.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
(2022)
Article
Environmental Sciences
Zhong Xin-Yue, Zhang Tingjun, Su Hang, Xiao Xiong-Xin, Wang Shu-Fa, Hu Yuan-Tao, Wang Hui-Juan, Zheng Lei, Zhang Wei, Xu Min, Wang Jian
Summary: This study investigated the spatial variations of snow depth, SWE, and snow density in the Altai Mountains of northwestern China from 2015 to 2017. Results showed that snow properties were strongly controlled by topography and vegetation, with elevation and latitude being the most important factors affecting snow depth and SWE, while snow density was strongly influenced by longitude.
ADVANCES IN CLIMATE CHANGE RESEARCH
(2021)
Article
Green & Sustainable Science & Technology
Zihao Feng, Jianjun Chen, Renjie Huang, Yanping Yang, Haotian You, Xiaowen Han
Summary: Vegetation phenology changes on the Qinghai-Tibet Plateau were analyzed in this study, revealing spatial and temporal variations related to climate change and topography. The results provide important guidance for monitoring alpine vegetation phenology on the Qinghai-Tibet Plateau.
Article
Geosciences, Multidisciplinary
Jingyi Ding, David J. Eldridge
Summary: The study reveals that increasing aridity leads to higher spatial variation in soil multifunctionality, but overall multifunctionality remains stable. Different vegetation patch types respond differently to aridity, with climate, soil factors, and variation in plant size being key drivers of soil multifunctionality. The study provides empirical evidence of the regulation of nutrient cycling and soil stability to maintain an average level of soil multifunctionality across a climatic gradient, and highlights the potential increase in spatial variation in soil multifunctionality and the importance of biocrusts in stabilizing soils under drier global climates.
Article
Parasitology
Ritter A. Guimapi, Ingeborg Klingen, Henri E. Z. Tonnang, Paulin Nana
Summary: In order to reduce the use of chemical acaricides, researchers have tested the effectiveness of the fungal agent Metarhizium anisopliae against the brown ear tick Rhipicephalus appendiculatus in Africa. However, the relationship between the suitability of the fungus and climatic variables in East African countries is not yet clear. This study aims to design a temperature-dependent model to improve the control efficacy of M. anisopliae against different developmental stages of R. appendiculatus, and generate spatial predictions of potential epizootic areas in Kenya, Tanzania, and Uganda.
Article
Agronomy
Emily Kimathi, Elfatih M. Abdel-Rahman, Catherine Lukhoba, Asaah Ndambi, Bester Tawona Mudereri, Saliou Niassy, Henri E. Z. Tonnang, Tobias Landmann
Summary: This study investigated the impact of current and projected future climate change on the infestation of Striga hermonthica in western Kenya. The results showed that approximately 10% of the study area is currently highly suitable for Striga hermonthica occurrence, and future projections indicate a potential increase in suitable habitat. Elevation, annual precipitation, land use, temperature seasonality, and soil type were identified as important factors influencing the establishment of Striga hermonthica.
Article
Ecology
Francois Rebaudo, Titouan Soulard, Bruno Condori, Reinaldo Quispe-Tarqui, Paul-Andre Calatayud, Soledad Chavez Vino, Henri E. Z. Tonnang, Lucas Bessiere
Summary: A low-cost Internet of Things system has been developed to acquire microclimatic data at a high temporal resolution and make them available with dynamic visualizations and download capabilities. The system has been proven to be reliable in capturing microclimate in contrasting environments and has the potential to be used by scientists interested in real-time monitoring of environmental variables.
METHODS IN ECOLOGY AND EVOLUTION
(2023)
Article
Chemistry, Multidisciplinary
James Mutinda, Waweru Mwangi, George Okeyo
Summary: Sentiment analysis is a crucial area of research in natural language processing, with various applications. However, accurate sentiment analysis requires robust text representation techniques. This paper introduces a sentiment classification model called LeBERT, which combines sentiment lexicon, N-grams, BERT, and CNN. Experimental results show that LeBERT outperforms existing models.
APPLIED SCIENCES-BASEL
(2023)
Article
Environmental Sciences
Ines Jendritzki, Henri E. Z. Tonnang, Paul-Andre Calatayud, Christian Borgemeister, Tino Johansson, Lisa Biber-Freudenberger
Summary: Climate change is expected to have significant impacts on biodiversity and ecosystem services, particularly in the Global South where limited capacities for adaptation exist. In East Africa, climate change is already affecting agricultural crop production through increased losses from insect pests. This study predicts the current and future distribution of maize stem borer pests and their biological control agents in Eastern Africa. The results suggest that under more severe climate change, the effectiveness of biological control for managing these pests will be reduced, highlighting the need for adaptation measures in pest management strategies.
Article
Geosciences, Multidisciplinary
Mukundi Mukundamago, Timothy Dube, Bester Tawona Mudereri, Regis Babin, H. Michael G. Lattorff, Henri E. Z. Tonnang
Summary: Precise near real-time predictions are needed to monitor key pollinator species like Ceratina in order to improve surveillance. This study predicts the potential habitat suitability of Ceratina moerenhouti in the Eastern Afro-montane biodiversity hotspot in Kenya and evaluates three machine learning techniques and their ensemble model for prediction. The results show that currently 30% and 10% of the hotspot area in Murang'a and Taita Taveta counties are suitable for C. moerenhouti, but future projections indicate a slight decrease in suitable habitats.
PHYSICS AND CHEMISTRY OF THE EARTH
(2023)
Article
Multidisciplinary Sciences
N'dakpaze Gno-Solim Ela, Daniel Olago, Amwata Dorothy Akinyi, Henri E. Z. Tonnang
Summary: The geographical spread of invasive pests in Africa has been influenced by climate change, with environmental changes playing a significant role in their spreading and expansion. In Uganda, the occurrence of new tomato invasive insect pests has been increasing, and assessing the impact of climate variables on their occurrence provides insights for sustainable bio-invasion management. The study found that temperature and windspeed have increased significantly in some areas, while rainfall and humidity patterns have varied. The results highlight the importance of considering climate change in pest management practices and policies.
Article
Multidisciplinary Sciences
Elfatih M. Abdel-Rahman, Emily Kimathi, Bester Tawona Mudereri, Henri E. Z. Tonnang, Raphael Mongare, Saliou Niassy, Sevgan Subramanian
Summary: This study predicted the spatial distribution of fall armyworm in five east African countries using the MaxEnt model and various explanatory variables. The results showed that 27% of eastern Africa is currently at risk of fall armyworm establishment, and this risk is expected to increase in the future. It is recommended to integrate the modeling results into a dynamic platform for real-time predictions of fall armyworm occurrence and risk at the farm scale.
Article
Multidisciplinary Sciences
Maysoon A. A. Osman, Elfatih M. Abdel-Rahman, Joshua Orungo Onono, Lydia A. Olaka, Muna M. Elhag, Marian Adan, Henri E. Z. Tonnang
Summary: Mapping of land use/land cover (LULC) dynamics has been studied in the Gedaref landscape of Sudan using Landsat imageries and the random forest classifier. The results show significant changes in LULC, with cropland and settlement expansions and declines in forest and grassland. Future predictions suggest a slight increase in cropland area and a considerable decrease in forest area. These findings provide valuable information for land use planning and environmental conservation in the region.
Article
Environmental Sciences
Tobias Landmann, Michael Schmitt, Burak Ekim, Jandouwe Villinger, Faith Ashiono, Jan C. Habel, Henri E. Z. Tonnang
Summary: The diversity of stingless bees, butterflies, and dragonflies is higher in protected areas compared to unprotected areas in agro-ecological zones of Kenya and South Africa. A metric based on insect diversity and landscape naturalness is presented as a reliable tool for monitoring human impacts on biodiversity and informing conservation policy. The metric showed significant differences in biodiversity status values between protected and non-protected areas, while protected areas regardless of agro-ecology had similar values. This biodiversity status metric is applicable in data-scarce environments and useful for conservation actions and reporting.
COMMUNICATIONS EARTH & ENVIRONMENT
(2023)
Article
Physics, Fluids & Plasmas
Frank Thomas Ndjomatchoua, Carlos Lawrence Gninzanlong, Thierry Landry Michel Mbong Djomo, Maxime Fabrice Kepnang Pebeu, Clement Tchawoua
Summary: We provide compelling evidence that diversity, represented by a quenched disorder, can lead to a resonant collective transition between two unstable states in a network of coupled oscillators. The stability of a metastable state is optimized and the mean first-passage time is maximized at an intermediate level of diversity. This finding demonstrates that a system can benefit from inherent heterogeneity by allowing it to maximize the transition time from one state to another at the appropriate level of heterogeneity.
Article
Mathematical & Computational Biology
Charlene N. T. Mfangnia, Henri E. Z. Tonnang, Berge Tsanou, Jeremy Herren
Summary: A recent discovery found that mosquitoes infected with Microsporidia MB cannot transmit Plasmodium to humans. This study proposes a compartmental model to understand the prevalence of MB-infected mosquitoes and shows that the low prevalence of MB-infected mosquitoes can be explained by the contribution of male-to-female horizontal transmission. Furthermore, the model identifies the parameters that have the greatest influence on the ratio of MB-positive to wild mosquitoes.
MATHEMATICAL BIOSCIENCES AND ENGINEERING
(2023)
Article
Physics, Fluids & Plasmas
Frank Thomas Ndjomatchoua, Carlos Lawrence Gninzanlong, Thierry Landry Michel Mbong Djomo, Maxime Fabrice Pebeu Kepnang, Clement Tchawoua
Summary: This paper studies the effect of mean field density (MFD) on the dynamics of globally coupled bistable oscillators subjected to a weak periodic signal. The oscillators demonstrate MFD-enhanced signal amplification as MFD increases, with a maximum amplification occurring at a moderate level of MFD. The MFD-enhanced response depends on signal intensity and can efficiently amplify weak signals in practical situations with large network sizes.
Article
Physics, Fluids & Plasmas
Frank Thomas Ndjomatchoua, Byliole S. Djouda, Carlos Lawrence Gninzanlong, Thierry Landry Michel Mbong Djomo, Maxime Fabrice Kepnang Pebeu, Clement Tchawoua
Summary: Previous studies have shown that amplitude death (AD) occurs in nonlinear oscillator networks after tuning parameters and coupling properties. However, we have found that the presence of a local defect or impurity in network connectivity can suppress AD, which is not observed in identically coupled oscillators. The critical impurity strength value leading to oscillation restoration is determined by the network size and system parameters. This behavior is attributed to the steady-state destabilization caused by a Hopf's bifurcation occurring for impurity strengths below the threshold value. The effect is demonstrated in various mean-field coupled networks through simulations and theoretical analysis, highlighting the unexpected role of local inhomogeneities in oscillation control.
Article
Computer Science, Interdisciplinary Applications
Erick Odhiambo Omuya, George Okeyo, Michael Kimwele
Summary: This article discusses the importance of sentiment analysis in social media and the generation of sentiment-rich data. The author presents a new model that incorporates dimensionality reduction and natural language processing with part of speech tagging to improve sentiment analysis performance. Experimental results demonstrate the effectiveness of the model in utilizing machine learning techniques for sentiment analysis.
ENGINEERING REPORTS
(2023)
Article
Ecology
Colby J. Clark
Summary: Historically, the idea that ecosystems have geographical boundaries has been considered naive and impractical. However, advancements in remote sensing have allowed us to reliably detect spatial patterns and provide early warnings of potential critical transitions. This invites a reexamination of the role geographical boundaries play in explaining the concept of resilience, leading to a better understanding of the causal dynamics that lead to emergent self-organization.
ECOLOGICAL COMPLEXITY
(2024)
