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Mansour Aliabadian - One of the best experts on this subject based on the ideXlab platform.
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Ecological Modeling and distribution analysis of digger scorpions: Odontobuthus doriae, Odonthubutus bidentatus (Scorpiones: Buthidae) and Scorpio maurus (Scorpiones: Scorpionidae) in Iran using the maximum entropy method
Applied Entomology and Zoology, 2020Co-Authors: Ali Haghani, Mehdi Khoobdel, Rouhullah Dehghani, Amir Adibzadeh, Hossein Sobati, Mansour AliabadianAbstract:Prediction models are essential for the potential geographic distribution of scorpions, prevention of scorpion stings and diverse applications in conservation biology. There is limited information about habitat suitability and the factors affecting the distribution of Iranian digger scorpions. This study was undertaken to model the distribution of three types of digger scorpion in Iran, Odontobuthus doriae Thorell, Odonthubutus bidentatus Lourenco (Scorpiones: Buthidae) and Scorpio maurus Pocockin (Scorpiones: Scorpionidae), and investigate the factors affecting its distribution using the maximum entropy method. A total of 20 environmental and climate variables were used for Modeling and evaluation of the Ecological niche. The similarities and differences between the Ecological overlap of the digger scorpions were evaluated using comparative environmental niche model (ENM Tools software). The results showed that the main factors for habitat suitability of O. doriae were soil type, mean temperature of the wettest quarter and slope. The variables for S. maurus were soil type, precipitation of the coldest quarter and slope. Annual temperature range, mean temperature of the driest quarter and land use had the greatest influence on the distribution of O . bidentatus . The Ecological niches for O. doriae and O . bidentatus overlapped. The niche of these species differed from the niche of S. maurus . This approach could be helpful for the prediction of the potential distribution of three digger scorpion species and this model can be an effective for the promotion of health.
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Correction to: Ecological Modeling and distribution analysis of digger scorpions: Odontobuthus doriae , Odontobuthus bidentatus (Scorpiones: Buthidae) and Scorpio maurus (Scorpiones: Scorpionidae) in Iran using the maximum entropy method
Applied Entomology and Zoology, 2019Co-Authors: Ali Haghani, Mehdi Khoobdel, Rouhullah Dehghani, Amir Adibzadeh, Hossein Sobati, Mansour AliabadianAbstract:Prediction models are essential for the potential geographic distribution of scorpions, prevention of scorpion stings and diverse applications in conservation biology. There is limited information about habitat suitability and the factors affecting the distribution of Iranian digger scorpions. This study was undertaken to model the distribution of three types of digger scorpion in Iran, Odontobuthus doriae Thorell, Odonthubutus bidentatus Lourenco (Scorpiones: Buthidae) and Scorpio maurus Pocockin (Scorpiones: Scorpionidae), and investigate the factors affecting its distribution using the maximum entropy method. A total of 20 environmental and climate variables were used for Modeling and evaluation of the Ecological niche. The similarities and differences between the Ecological overlap of the digger scorpions were evaluated using comparative environmental niche model (ENM Tools software). The results showed that the main factors for habitat suitability of O. doriae were soil type, mean temperature of the wettest quarter and slope. The variables for S. maurus were soil type, precipitation of the coldest quarter and slope. Annual temperature range, mean temperature of the driest quarter and land use had the greatest influence on the distribution of O. bidentatus. The Ecological niches for O. doriae and O. bidentatus overlapped. The niche of these species differed from the niche of S. maurus. This approach could be helpful for the prediction of the potential distribution of three digger scorpion species and this model can be an effective for the promotion of health.
Christopher C. M. Kyba - One of the best experts on this subject based on the ideXlab platform.
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Using all-sky differential photometry to investigate how nocturnal clouds darken the night sky in rural areas
Scientific Reports, 2019Co-Authors: Andreas Jechow, Franz Hölker, Christopher C. M. KybaAbstract:Artificial light at night has affected most of the natural nocturnal landscapes worldwide and the subsequent light pollution has diverse effects on flora, fauna and human well-being. To evaluate the environmental impacts of light pollution, it is crucial to understand both the natural and artificial components of light at night under all weather conditions. The night sky brightness for clear skies is relatively well understood and a reference point for a lower limit is defined. However, no such reference point exists for cloudy skies. While some studies have examined the brightening of the night sky by clouds in urban areas, the published data on the (natural) darkening by clouds is very sparse. Knowledge of reference points for the illumination of natural nocturnal environments however, is essential for experimental design and Ecological Modeling to assess the impacts of light pollution. Here we use differential all-sky photometry with a commercial digital camera to investigate how clouds darken sky brightness at two rural sites. The spatially resolved data enables us to identify and study the nearly unpolluted parts of the sky and to set an upper limit on ground illumination for overcast nights at sites without light pollution.
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How dark can it get at night? Examining how clouds darken the sky via all-sky differential photometry
arXiv: Instrumentation and Methods for Astrophysics, 2018Co-Authors: Andreas Jechow, Franz Hölker, Christopher C. M. KybaAbstract:Artificial light at night has affected most of the natural nocturnal landscapes worldwide and the subsequent light pollution has diverse effects on flora, fauna and human well-being. To evaluate the environmental impacts of light pollution, it is crucial to understand both the natural and artificial components of light at night under all weather conditions. The night sky brightness for clear skies is relatively well understood and a reference point for a lower limit is defined. However, no such reference point exists for cloudy skies. While some studies have examined the brightening of the night sky by clouds in urban areas, the published data on the (natural) darkening by clouds is very sparse. Knowledge of reference points for the illumination of natural nocturnal environments however, is essential for experimental design and Ecological Modeling to assess the impacts of light pollution. Here we use differential all-sky photometry with a commercial digital camera to set an upper limit on the illumination of overcast sites without light pollution. We investigate how clouds alter the sky brightness and color temperature at two rural sites. The spatially resolved data enables us to identify and study the nearly unpolluted parts of the sky, even in a non-ideal scenario. We observe cloud attenuation and red shift not only at zenith, but for most parts of the sky, reducing luminance and illuminance levels for overcast conditions. Our results represent a first step towards finding a reference point for cloudy skies in unlit areas within the context of Ecological light pollution.
Ali Haghani - One of the best experts on this subject based on the ideXlab platform.
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Ecological Modeling and distribution analysis of digger scorpions: Odontobuthus doriae, Odonthubutus bidentatus (Scorpiones: Buthidae) and Scorpio maurus (Scorpiones: Scorpionidae) in Iran using the maximum entropy method
Applied Entomology and Zoology, 2020Co-Authors: Ali Haghani, Mehdi Khoobdel, Rouhullah Dehghani, Amir Adibzadeh, Hossein Sobati, Mansour AliabadianAbstract:Prediction models are essential for the potential geographic distribution of scorpions, prevention of scorpion stings and diverse applications in conservation biology. There is limited information about habitat suitability and the factors affecting the distribution of Iranian digger scorpions. This study was undertaken to model the distribution of three types of digger scorpion in Iran, Odontobuthus doriae Thorell, Odonthubutus bidentatus Lourenco (Scorpiones: Buthidae) and Scorpio maurus Pocockin (Scorpiones: Scorpionidae), and investigate the factors affecting its distribution using the maximum entropy method. A total of 20 environmental and climate variables were used for Modeling and evaluation of the Ecological niche. The similarities and differences between the Ecological overlap of the digger scorpions were evaluated using comparative environmental niche model (ENM Tools software). The results showed that the main factors for habitat suitability of O. doriae were soil type, mean temperature of the wettest quarter and slope. The variables for S. maurus were soil type, precipitation of the coldest quarter and slope. Annual temperature range, mean temperature of the driest quarter and land use had the greatest influence on the distribution of O . bidentatus . The Ecological niches for O. doriae and O . bidentatus overlapped. The niche of these species differed from the niche of S. maurus . This approach could be helpful for the prediction of the potential distribution of three digger scorpion species and this model can be an effective for the promotion of health.
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Correction to: Ecological Modeling and distribution analysis of digger scorpions: Odontobuthus doriae , Odontobuthus bidentatus (Scorpiones: Buthidae) and Scorpio maurus (Scorpiones: Scorpionidae) in Iran using the maximum entropy method
Applied Entomology and Zoology, 2019Co-Authors: Ali Haghani, Mehdi Khoobdel, Rouhullah Dehghani, Amir Adibzadeh, Hossein Sobati, Mansour AliabadianAbstract:Prediction models are essential for the potential geographic distribution of scorpions, prevention of scorpion stings and diverse applications in conservation biology. There is limited information about habitat suitability and the factors affecting the distribution of Iranian digger scorpions. This study was undertaken to model the distribution of three types of digger scorpion in Iran, Odontobuthus doriae Thorell, Odonthubutus bidentatus Lourenco (Scorpiones: Buthidae) and Scorpio maurus Pocockin (Scorpiones: Scorpionidae), and investigate the factors affecting its distribution using the maximum entropy method. A total of 20 environmental and climate variables were used for Modeling and evaluation of the Ecological niche. The similarities and differences between the Ecological overlap of the digger scorpions were evaluated using comparative environmental niche model (ENM Tools software). The results showed that the main factors for habitat suitability of O. doriae were soil type, mean temperature of the wettest quarter and slope. The variables for S. maurus were soil type, precipitation of the coldest quarter and slope. Annual temperature range, mean temperature of the driest quarter and land use had the greatest influence on the distribution of O. bidentatus. The Ecological niches for O. doriae and O. bidentatus overlapped. The niche of these species differed from the niche of S. maurus. This approach could be helpful for the prediction of the potential distribution of three digger scorpion species and this model can be an effective for the promotion of health.
Briony Mamo - One of the best experts on this subject based on the ideXlab platform.
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Baseline for ostracod-based northwestern Pacific and Indo-Pacific shallow-marine paleoenvironmental reconstructions: Ecological Modeling of species distributions
Biogeosciences, 2019Co-Authors: Yuanyuan Hong, Moriaki Yasuhara, Hokuto Iwatani, Briony MamoAbstract:Abstract. Fossil ostracods have been widely used for Quaternary paleoenvironmental reconstructions, especially in marginal marine environments (e.g., for water depth, temperature, salinity, oxygen levels, pollution). But our knowledge of indicator species autoecology, the base of paleoenvironmental reconstructions, remains limited and commonly lacks robust statistical support and comprehensive comparison with environmental data. We analyzed marginal marine ostracod taxa at 52 sites in Hong Kong for which comprehensive environmental data are available. We applied linear regression models to reveal relationships between species distribution and environmental factors for 18 common taxa (mainly species, a few genera) in our Hong Kong dataset and identified indicator species of environmental parameters. For example, Sinocytheridea impressa, a widely distributed euryhaline species throughout the East and South China Sea and the Indo-Pacific, indicates eutrophication and bottom-water hypoxia. Neomonoceratina delicata, a widely known species from nearshore and estuarine environments in the East and South China Sea and the Indo-Pacific, indicates heavy metal pollution and increased turbidity. The 18 taxa used for this study are widely distributed geographically and divided into the following groups: widespread (throughout the northwestern Pacific and Indo-Pacific regions), temperate (South China Sea to Russia (Sea of Japan coast) and Japan), subtropical (Indo-Pacific to the East China Sea), tropical (Indo-Pacific and South China Sea), and globally distributed. With statistical support from Ecological Modeling and comprehensive environmental data, these results provide a robust baseline for ostracod-based Quaternary–Anthropocene paleoenvironmental reconstructions in the tropical–extratropical northwestern Pacific and Indo-Pacific. Highlights. We provide a robust baseline for ostracod-based (microscopic Arthropods) paleoenvironmental reconstructions from Quaternary and Anthropocene marginal marine sediments. The studied species have wide distributions over the tropics and extratropics of the northwestern Pacific and Indo-Pacific. Ecological Modeling has established ostracod species as reliable indicators for paleoenvironmental reconstructions.
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Baseline for ostracod-based northwestern Pacific and Indo-Pacific shallow-marine paleoenvironmental reconstructions: Ecological Modeling of species distributions
2018Co-Authors: Yuanyuan Hong, Moriaki Yasuhara, Hokuto Iwatani, Briony MamoAbstract:Abstract. Fossil ostracods have been widely used for Quaternary paleoenvironmental reconstructions especially in marginally marine environments (e.g. for water depth, temperature, salinity, oxygen levels, pollution). But our knowledge of the autoecology of indicator species, the base of paleoenvironmental reconstructions, remains limited and commonly lacks robust statistical support and comprehensive comparison with environmental data. We analysed marginally marine ostracod taxa at 52 sites in Hong Kong for which comprehensive environmental data are available. We applied linear regression models to reveal relationships between species distribution and environmental factors, and identified indicator species of environmental parameters. For example, Sinocytheridea impressa and Neomonoceratina delicata indicate botttom-water hypoxia – eutrophication, and heavy-metal pollution - increased turbidity, respectively. Many taxa are widespread throughout the northwestern Pacific – Indo-Pacific regions, including temperate (South China Sea to Japan and Russia), subtropical (i.e., Indo-Pacific to the East China Sea), and tropical (i.e., Indo-Pacific and South China Sea) taxa. With statistical support from Ecological Modeling and comprehensive environmental data, These results provide a robust baseline for ostracod-based Quaternary-Anthropocene paleoenvironmental reconstructions in the tropic–extratopic northwestern Pacific and Indo-Pacific.
Haozhi Pan - One of the best experts on this subject based on the ideXlab platform.
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using comparative socio Ecological Modeling to support climate action planning cap
Journal of Cleaner Production, 2019Co-Authors: Haozhi Pan, Jessica Page, Le Zhang, Si Chen, Cong Cong, Georgia Destouni, Zahra Kalantari, Brian DealAbstract:Abstract We present a comparative socio-Ecological Modeling approach to identify possible improvement opportunities for Climate Action Plans (CAPs), focusing on two cities, Chicago and Stockholm. The aim is to provide a tool for capturing and addressing deep-rooted behavioral and institutional preferences that may aggravate greenhouse gas (GHG) emissions in cities. Socio-economic activities, land use change, and future urban forms are considered and forecast to the year 2040 on 30m × 30m spatial grids. GHG emissions associated with these urban development aspects are calculated and compared between the cities. Innovative policy instruments for growth control and zoning (GCZ) are simulated and tested through the socio-Ecological model, to determine their effectiveness when added to other interventions included in the CAPs. Our findings show that behavioral/institutional preference for sprawl, its low-density form, and resultant carbon sink losses are main factors driving current and future residential and transportation GHG emissions in Chicago. GCZ policies are shown to counteract and mitigate around 20% of these factors in the form of future GHG emissions.
