Modelling and monitoring house fly M. domestica using remote sensing data and geographic information system

Abutaleb, Khaled; Yones, M.S.; El-Shirbeny, Mohammed A.; Ma'mon, S.A.M.; AlAshal, Sarah

doi:10.1016/j.ejrs.2019.03.001

Cited by 3 publications

(3 citation statements)

References 18 publications

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“…Nowadays, ecology relies on data science through most of its research areas (Hirzel et al 2002;Moulin 2020). Distribution modeling has been considered as an important technique to formalize the link between the species and their geographical surroundings, in particular, to quantify the parameters which govern their presence (Peterson et al 2007;Abutaleb et al 2019). In recent years, such an approach received increased attention to assess the geographical distribution of species and was applied to the fields of ecology and conservation biology (Ganeshaiah et al 2003;Levine et al 2004;Ma'moun et al 2017;Hosni et al 2020).…”

Section: Introductionmentioning

confidence: 99%

“…Analysis of biogeographical data of predator or parasite species helps in studying their distribution in different regions and provides an essential tool for conservation planning and biological control strategies (Brown and Lomolino 1998;Ladle and Whittaker 2011;Nasser et al 2015Nasser et al , 2019aKeerthi et al 2020). There are several insect groups which face neglection in their ecological study in Egypt (Abutaleb et al 2019;Adly et al 2019). Accordingly, the present study was conducted and focused on calculating the zoogeographical affinities of mantises and modeling the distribution pattern of Mantodea as a group in different Egyptian ecological zones, estimating species richness, analyzing bioclimatic, and geographical factors that contribute to such distribution using GIS and for better understanding the ecology of these charismatic predators.…”

Section: Introductionmentioning

confidence: 99%

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Mantodea oasis of Palaearctic region: biogeographical analysis of Mantodea in Egypt

Okely

Nasser

Enan

et al. 2020

Egypt J Biol Pest Control

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Background Egypt forms a home for the highest number of recorded Mantodea species of the Palaearctic Region. The status and ecology of such diversity are far from being completely understood. Main body Through this study, the similarity of Mantodea species composition among Egyptian ecological zones has been examined by using the Sørensen-Dice coefficient, beside the calculation of species richness for each zone. Also, maximum entropy (Maxent) modeling was used to estimate the potential distribution of Mantodea species throughout the country. Three topographical and 19 bioclimatic variables have been used to estimate the current status of all Mantodea species in Egypt. The collected materials of adult mantis have been used to analyze the seasonality of 14 Egyptian common genera. Our results indicated that there was a high faunal similarity between the Western and Eastern deserts, the coastal strip, and the lower Nile valley. The lowest similarity was between Gebel Elba and all other zones. The analysis of habitat suitability of Mantodea in Egypt was fragmentary and focused on different distinct ecological zones. Altitude was the most effective ecological factor that affected Mantodea distribution as a group. Analysis of seasonality data of the common genera of Mantodea indicated that all are found in summer except for Miomantis, Severinia, and Sinaiella. Conclusion Our results can be used as a basis for future studies of the ecology of certain species and conservation of this interesting group in Egypt.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Mantodea oasis of Palaearctic region: biogeographical analysis of Mantodea in Egypt

Okely

Nasser

Enan

et al. 2020

Egypt J Biol Pest Control

View full text Add to dashboard Cite

show abstract

“…By comparing current distribution models with future climate scenarios, researchers can evaluate how changes in temperature, precipitation patterns and other climatic variables may affect the abundance and range of L. migratoria . This information is crucial for identifying areas at higher risk of locust outbreaks and implementing proactive measures for effective locust management of any other agriculture pest that is studied by this methodology ( Abutaleb et al 2020 ).…”

Section: Discussionmentioning

confidence: 99%

Locusta migratoria (L.) (Orthoptera) in a warming world: unravelling the ecological consequences of climate change using GIS

Hosni,

Al-Khalaf,

Nasser

et al. 2024

BDJ

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The migratory locust, Locusta migratoria (L.), a significant grasshopper species known for its ability to form large swarms and cause extensive damage to crops and vegetation, is subject to the influence of climate change. This research paper employs geographic information system (GIS) and MaxEnt ecological modelling techniques to assess the impact of climate change on the distribution patterns of L. migratoria. Occurrence data and environmental variables are collected and analysed to create predictive models for the current and future distribution of the species. The study highlights the crucial role of climate factors, particularly temperature and precipitation, in determining the locust's distribution. The MaxEnt models exhibit high-performance indicators, accurately predicting the potential habitat suitability of L. migratoria. Additionally, specific bioclimatic variables, such as mean temperature and annual precipitation, are identified as significant factors influencing the species' presence. The generated future maps indicate how this species will invade new regions especially in Europe. Such results predict the risk of this destructive species for many agriculture communities as a direct result of a warming world. The research provides valuable insights into the complex relationship between locust distribution and environmental factors, enabling the development of effective strategies for locust management and early warning systems to mitigate the impact on agriculture and ecosystems.

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Habitat Suitability Modelling for the Red Dwarf Honeybee (Apis florea (Linnaeus)) and Its Distribution Prediction Using Machine Learning and Cloud Computing

Ma’moun,

Farag,

Abutaleb

et al. 2024

Neotrop Entomol

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Apis florea bees were recently identified in Egypt, marking the second occurrence of this species on the African continent. The objective of this study was to track the distribution of A. florea in Egypt and evaluate its potential for invasive behaviour. Field surveys were conducted over a 2-year period, resulting in the collection of data on the spatial distribution of the red dwarf honeybees. A comprehensive analysis was performed utilizing long-term monthly temperature and rainfall data to generate spatially interpolated climate surfaces with a 1-km resolution. Vegetation variables derived from Terra MODIS were also incorporated. Furthermore, elevation data obtained from the Shuttle Radar Topography Mission were utilized to derive slope, aspect, and hillshade based on the digital elevation model. The collected data were subject to resampling for optimal data smoothing. Subsequently, a random forest model was applied, followed by an accuracy assessment to evaluate the classification output. The results indicated the selection of the mean temperature of coldest quarter (bio11), annual mean temperature (bio01), and minimum temperature of coldest month (bio06) as temperature-derived parameters are the most important parameters. Annual precipitation (bio12) and precipitation of wettest quarter (bio16) as precipitation parameters, and non-tree vegetation parameter as well as the elevation. The calculation of the Habitat Suitability Index revealed that the most suitable areas, covering a total of 200131.9 km2, were predominantly situated in the eastern and northern regions of Egypt, including the Nile Delta characterized by its fertile agricultural lands and the presence of the river Nile. In contrast, the western and southern parts exhibited low habitat suitability due to the absence of significant green vegetation and low relative humidity.

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Modelling and monitoring house fly M. domestica using remote sensing data and geographic information system

Cited by 3 publications

References 18 publications

Mantodea oasis of Palaearctic region: biogeographical analysis of Mantodea in Egypt

Mantodea oasis of Palaearctic region: biogeographical analysis of Mantodea in Egypt

Locusta migratoria (L.) (Orthoptera) in a warming world: unravelling the ecological consequences of climate change using GIS

Habitat Suitability Modelling for the Red Dwarf Honeybee (Apis florea (Linnaeus)) and Its Distribution Prediction Using Machine Learning and Cloud Computing

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