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Eslahi Mojtaba - One of the best experts on this subject based on the ideXlab platform.

  • Urban Growth simulations in order to represent the impacts of constructions and environmental constraints on urban sprawl
    2019
    Co-Authors: Eslahi Mojtaba
    Abstract:

    L'urbanisation est principalement due à la croissance démographique, à l'exode rural et au changement du mode de vie. Ce processus augmente les terres artificielles, qui affectent la biodiversité, les écosystèmes, le climat urbain et réduit les terres pour l'agriculture et les espaces naturels. L'objectif de cette thèse est de simuler divers scénarios d'urbanisation afin d'améliorer la prise de décision en matière de politiques publiques. Pour ce faire, le modèle SLEUTH est utilisé afin d’évaluer l’impact des bâtiments et des règles environnementales sur l’étalement urbain. Dans la méthode utilisée, SLEUTH intègre davantage des données topographiques, des données sur les tissus urbains et démographiques, y compris les caractéristiques géographiques et les contraintes environnementales. Le principal défi de cette recherche est de proposer différents scénarios d'étalement urbain pour plusieurs types de règles environnementales tout en tenant compte du besoin des habitants ou du moins d'une Estimation de la croissance de la Population. Le modèle SLEUTH est l’un des modèles de simulation d’automates cellulaires bien connus, qui correspond à la simulation dynamique de l’expansion urbaine et s’adapte au modèle morphologique de la configuration urbaine. SLEUTH, comme beaucoup d'autres méthodes de simulation de la croissance urbaine, ne considère que les données historiques. Bien que les impacts de la croissance démographique et du tissu urbain soient implicitement pris en compte lors de la phase d'étalonnage sur les cartes urbaines historiques, il est impossible d'inclure les changements de taux de croissance démographique ou de types de bâtiments dans les simulations. De plus, les résultats de SLEUTH se limitent à des données matricielles difficiles à interpréter pour les décideurs. Les résultats sont des pixels, sur lesquels une urbanisation est supposée se produire, ce qui n’a pas de sens du point de vue de l’urbanisme. Par conséquent, notre recherche vise à diversifier les possibilités de simulation en intégrant explicitement le facteur des types de bâtiments en fonction de la croissance de la Population et en fournissant des modèles de visualisation des résultats de scénarios de croissance urbaine en 2D et même en 3D.Afin d'améliorer les résultats de SLEUTH, différents scénarios de simulation de croissance urbaine en 2D ont été définis sur la base du modèle SLEUTH en ajoutant le type de bâtiment et l'Estimation de la croissance démographique en tant que facteurs du tissu urbain. Chaque simulation correspond à des politiques plus ou moins restrictives en espaces considérant ce que ces territoires peuvent accueillir en tant que type de bâtiment et en tant que Population globale. De plus, les simulations peuvent aider l’utilisateur à protéger les terrains souhaités, tels que les espaces environnementaux, de l’urbanisation. Ces scénarios montrent la force de la simulation du modèle et permettent d’améliorer notre compréhension de l’étalement urbain. Trois études de cas de tailles et de Populations différentes sont utilisées, Toulouse Métropole, Saint Sulpice la Pointe et Rieucros, afin de donner une idée de l'efficacité de la méthode proposée à plusieurs échelles. L'évaluation des résultats indique que la méthode proposée est capable d’effectuer différentes simulations correspondant à plusieurs priorités et contraintes foncières. Il est utile de voir quels terrains peuvent être protégés (où) et quel type de bâtiment peut être utilisé pour limiter l'étalement urbain (combien). Une représentation en 3D de chaque simulation de croissance urbaine est fournie afin de faciliter l'interprétation de la simulation SLEUTH et de différencier les scénarios. Les résultats permettent d’avoir plusieurs images de la ville de demain pour l’appliquer aux politiques urbainesThe process of urbanization occurs mainly due to Population Growth, rural exodus to cities and life style that often induces the nearly irreversible changes. It increases the artificial lands, which affect the biodiversity, ecosystems, urban climate, and reduces land for agriculture and natural areas. The focus of this thesis is to simulate diverse urbanization scenarios in order to improve public policies decision making. To do this, the SLEUTH model is used in order to investigate the impacts of buildings and environmental rules on urban sprawl. In the method used, the SLEUTH model integrates more topographic data, urban tissue and demographic data, including geographical features and the environmental constraints. The main challenge of in this research is to propose different urban sprawl scenarios for different kind of environmental rules while taking into account the Population demand or at least Population Growth Estimation. The SLEUTH model is one of the well-known cellular automata simulation models, which matches the dynamic simulation of urban expansion and adapts to morphological model of the urban configuration. SLEUTH, like many other urban Growth simulation methods, considers only the historical data. Although, the impacts of Population Growth and urban tissue are implicitly considered during the calibration phase on the historical urban maps, changes in Population Growth rate or in building types cannot be included in its simulations. Moreover the SLEUTH results are limited to raster data that are difficult to interpret for decision makers. The results are some pixels on which urbanization is supposed to occur which do not make sense from urbanism point of view. Therefore, our research aims to diversify the simulation possibilities integrating explicitly factors of building types according to Population Growth and providing visual methods to view urban Growth scenario results in 2D and even 3D. In order to improve the SLEUTH results, different 2D urban Growth simulation scenarios have been defined based on the SLEUTH model by adding buildings type and the Estimation of the Population Growth as urban fabric factors. Each simulation corresponds to policies that are more or less restrictive of spaces considering what these territories can accommodate as a type of building and as a global Population. In addition, the simulations can help the user to protect the desired lands such as the environmental spaces from urbanization. These scenarios show the simulation capabilities of the model and make it possible to improve our understanding of an urban sprawl simulation.Three different case studies with various sizes and Populations are used including Toulouse metropolitan, Saint Sulpice la Pointe and Rieucros to provide a view of the effectiveness of the proposed method on several scales. The results evaluation indicates that the proposed method makes different simulations that correspond to different land priorities and constraints. It helps to see which land can be protected (where) and how building type can be used to constrain urban sprawl (how much). A 3D representation for each prospective urban Growth simulations is provided in order to facilitates the interpretation of the SLEUTH simulation and differentiate the scenarios. The findings allow having different images of the city of tomorrow for applying it to urban policie

  • Simulations de croissance urbaine pour représenter les impacts possibles des constructions et des contraintes environnementales sur l’étalement urbain
    HAL CCSD, 2019
    Co-Authors: Eslahi Mojtaba
    Abstract:

    The process of urbanization occurs mainly due to Population Growth, rural exodus to cities and life style that often induces the nearly irreversible changes. It increases the artificial lands, which affect the biodiversity, ecosystems, urban climate, and reduces land for agriculture and natural areas. The focus of this thesis is to simulate diverse urbanization scenarios in order to improve public policies decision making. To do this, the SLEUTH model is used in order to investigate the impacts of buildings and environmental rules on urban sprawl. In the method used, the SLEUTH model integrates more topographic data, urban tissue and demographic data, including geographical features and the environmental constraints. The main challenge of in this research is to propose different urban sprawl scenarios for different kind of environmental rules while taking into account the Population demand or at least Population Growth Estimation. The SLEUTH model is one of the well-known cellular automata simulation models, which matches the dynamic simulation of urban expansion and adapts to morphological model of the urban configuration. SLEUTH, like many other urban Growth simulation methods, considers only the historical data. Although, the impacts of Population Growth and urban tissue are implicitly considered during the calibration phase on the historical urban maps, changes in Population Growth rate or in building types cannot be included in its simulations. Moreover the SLEUTH results are limited to raster data that are difficult to interpret for decision makers. The results are some pixels on which urbanization is supposed to occur which do not make sense from urbanism point of view. Therefore, our research aims to diversify the simulation possibilities integrating explicitly factors of building types according to Population Growth and providing visual methods to view urban Growth scenario results in 2D and even 3D. In order to improve the SLEUTH results, different 2D urban Growth simulation scenarios have been defined based on the SLEUTH model by adding buildings type and the Estimation of the Population Growth as urban fabric factors. Each simulation corresponds to policies that are more or less restrictive of spaces considering what these territories can accommodate as a type of building and as a global Population. In addition, the simulations can help the user to protect the desired lands such as the environmental spaces from urbanization. These scenarios show the simulation capabilities of the model and make it possible to improve our understanding of an urban sprawl simulation.Three different case studies with various sizes and Populations are used including Toulouse metropolitan, Saint Sulpice la Pointe and Rieucros to provide a view of the effectiveness of the proposed method on several scales. The results evaluation indicates that the proposed method makes different simulations that correspond to different land priorities and constraints. It helps to see which land can be protected (where) and how building type can be used to constrain urban sprawl (how much). A 3D representation for each prospective urban Growth simulations is provided in order to facilitates the interpretation of the SLEUTH simulation and differentiate the scenarios. The findings allow having different images of the city of tomorrow for applying it to urban policiesL'urbanisation est principalement due à la croissance démographique, à l'exode rural et au changement du mode de vie. Ce processus augmente les terres artificielles, qui affectent la biodiversité, les écosystèmes, le climat urbain et réduit les terres pour l'agriculture et les espaces naturels. L'objectif de cette thèse est de simuler divers scénarios d'urbanisation afin d'améliorer la prise de décision en matière de politiques publiques. Pour ce faire, le modèle SLEUTH est utilisé afin d’évaluer l’impact des bâtiments et des règles environnementales sur l’étalement urbain. Dans la méthode utilisée, SLEUTH intègre davantage des données topographiques, des données sur les tissus urbains et démographiques, y compris les caractéristiques géographiques et les contraintes environnementales. Le principal défi de cette recherche est de proposer différents scénarios d'étalement urbain pour plusieurs types de règles environnementales tout en tenant compte du besoin des habitants ou du moins d'une Estimation de la croissance de la Population. Le modèle SLEUTH est l’un des modèles de simulation d’automates cellulaires bien connus, qui correspond à la simulation dynamique de l’expansion urbaine et s’adapte au modèle morphologique de la configuration urbaine. SLEUTH, comme beaucoup d'autres méthodes de simulation de la croissance urbaine, ne considère que les données historiques. Bien que les impacts de la croissance démographique et du tissu urbain soient implicitement pris en compte lors de la phase d'étalonnage sur les cartes urbaines historiques, il est impossible d'inclure les changements de taux de croissance démographique ou de types de bâtiments dans les simulations. De plus, les résultats de SLEUTH se limitent à des données matricielles difficiles à interpréter pour les décideurs. Les résultats sont des pixels, sur lesquels une urbanisation est supposée se produire, ce qui n’a pas de sens du point de vue de l’urbanisme. Par conséquent, notre recherche vise à diversifier les possibilités de simulation en intégrant explicitement le facteur des types de bâtiments en fonction de la croissance de la Population et en fournissant des modèles de visualisation des résultats de scénarios de croissance urbaine en 2D et même en 3D.Afin d'améliorer les résultats de SLEUTH, différents scénarios de simulation de croissance urbaine en 2D ont été définis sur la base du modèle SLEUTH en ajoutant le type de bâtiment et l'Estimation de la croissance démographique en tant que facteurs du tissu urbain. Chaque simulation correspond à des politiques plus ou moins restrictives en espaces considérant ce que ces territoires peuvent accueillir en tant que type de bâtiment et en tant que Population globale. De plus, les simulations peuvent aider l’utilisateur à protéger les terrains souhaités, tels que les espaces environnementaux, de l’urbanisation. Ces scénarios montrent la force de la simulation du modèle et permettent d’améliorer notre compréhension de l’étalement urbain. Trois études de cas de tailles et de Populations différentes sont utilisées, Toulouse Métropole, Saint Sulpice la Pointe et Rieucros, afin de donner une idée de l'efficacité de la méthode proposée à plusieurs échelles. L'évaluation des résultats indique que la méthode proposée est capable d’effectuer différentes simulations correspondant à plusieurs priorités et contraintes foncières. Il est utile de voir quels terrains peuvent être protégés (où) et quel type de bâtiment peut être utilisé pour limiter l'étalement urbain (combien). Une représentation en 3D de chaque simulation de croissance urbaine est fournie afin de faciliter l'interprétation de la simulation SLEUTH et de différencier les scénarios. Les résultats permettent d’avoir plusieurs images de la ville de demain pour l’appliquer aux politiques urbaine

Dos Reis S.f. - One of the best experts on this subject based on the ideXlab platform.

  • Corrigendum To "non-local Interactions And The Dynamics Of Dispersal In Immature Insects" [j. Theor. Biol. 185 (4) (1997) 523-531]
    'Elsevier BV', 2015
    Co-Authors: Boldrini J.l., Bassanezi R.c., Moretti A.c., Von Zuben F.j., Godoy W.a.c., Dos Reis S.f.
    Abstract:

    A simple mathematical model is developed to explain the appearance of oscillations in the dispersal of larvae from the food source in experimental Populations of certain species of blowflies. The life history of the immature stage in these flies, and in a number of other insects, is a system with two Populations, one of larvae dispersing on the soil and the other of larvae that burrow in the soil to pupate. The observed oscillations in the horizontal distribution of buried pupae at the end of the dispersal process are hypothesized to be a consequence of larval crowding at a given point in the pupation substrate. It is assumed that dispersing larvae are capable of perceiving variations in density of larvae buried at a given point in the substrate of pupation, and that pupal density may influence pupation of dispersing larvae. The assumed interaction between dispersing larvae and the larvae that are burrowing to pupate is modeled using the concept of non-local effects. Numerical solutions of integro-partial differential equations developed to model density-dependent immature dispersal demonstrate that variation in the parameter that governs the non-local interaction between dispersing and buried larvae induces oscillations in the final horizontal distribution of pupae. © 2013.336252258Bengtsson, G., Hedlund, K., Rundgren, S., Food- and density-dependent dispersal] evidence from a soil collembolan (1994) Journal of Animal Ecology, 63, pp. 513-520Boldrini, J.L., Moretti, A.C., Patterns of post-feeding larval dispersion in blowflies (1995) Technical Report UNICAMP-IMECC, 24, pp. 1-21de Jong, G., The influence of the distribution of juveniles over patches of food on the dynamics of a Population (1979) Netherlands Journal of Zoology, 29, pp. 33-51Felsenstein, J., (1994) Theoretical Evolutionary Genetics, , University of Washington Press, SeattleGaines, S.D., Bertness, M., The dynamics of juvenile dispersal: why field ecologists must integrate (1993) Ecology, 74, pp. 2430-2435Gilpin, M., The genetic effective size of a metaPopulation (1991) Biological Journal of the Linnean Society, 42, pp. 165-175Ginzburg, L.R., (1983) Theory of Natural Selection and Population Growth, , The Benjamin: Cummings Publishing Company, Menlo ParkGodoy, W.A.C., Reis, S.F., Von Zuben, C.J., Ribeiro, O.B., Population dynamics of Chrysomya putoria (Dipt., Calliphoridae) (1993) Journal of Applied Entomology, 116, pp. 163-169Godoy, W.A.C., Fowler, H.G., Von Zuben, C.J., Ziti, L., Ribeiro, O.B., Larval dispersion in Chrysomya megacephala, Chrysomya putoria and Cochliomyia macellaria (Dipt., Calliphoridae) (1995) Journal of Applied Entomology, 119, pp. 263-266Godoy, W.A.C.G., Von Zuben, C.J., Reis, S.F., Larval dispersal in Chrysomya megacephala, Chrysomya putoria and Cochliomyia macellaria (Dipt., Calliphoridae): ecological consequences of aggregation behavior (1996) Journal of Applied Entomology, 120, pp. 423-426Greenberg, B., Behavior of postfeeding larvae of some Calliphoridae and a Muscidae (Diptera) (1990) Annals of the Entomological Society, 83, pp. 1210-1214Guimarães, J.H., Prado, A.P., Linhares, A.X., Three newly introduced blowfly species in Southern Brazil (Diptera: Calliphoridae) (1978) Revista Brasileira de Entomologia, 22, pp. 53-60Hanski, I., Carrion fly community dynamics: patchiness, seasonality and coexistence (1987) Ecological Entomology, 12, pp. 257-266Heinrich, J.C., Huyakorn, P.S., Mitchell, A.R., Zienkiewicz, O., An "upwind" finite element scheme for two-dimensional convective transport equation (1977) International Journal for Numerical Methods in Engineering, 11, pp. 131-143Ives, A., The optimal clutch size of insects when many females oviposit per patch (1989) American Naturalist, 133, pp. 671-687Ives, A., Aggregation and coexistence in a carrion fly community (1991) Ecological Monographs, 61, pp. 75-94Kot, M., Discrete-time travelling waves: ecological examples (1992) Journal of Mathematical Biology, 30, pp. 413-436Kotaki, T., Fujii, H., Crowding inhibits pupation in Tribolium freemani: contact chemical and mechanical stimuli are involved (1995) Entomologia Experimentalis et Applicata, 74, pp. 145-149Levot, G.W., Brown, K.R., Shipp, E., Larval Growth of some calliphorid and sarcophagid Diptera (1979) Bulletin of Entomological Research, 69, pp. 469-475Ludwig, J.A., Reynolds, J.F., (1988) Statistical Ecology: A Primer on Methods and Computing, , John Wiley and Sons, New YorkMueller, L.D., Density-dependent rates of Population Growth: Estimation in laboratory Populations (1986) American Naturalist, 128, pp. 282-293Mueller, L.D., Density-dependent Population Growth and natural selection in food-limited environments: the Drosophila model (1988) American Naturalist, 132, pp. 786-809Murray, J.D., (1990) Mathematical Biology, , Springer-Verlag, BerlinNagylaki, T., (1992) Introduction to Theoretical Population Genetics, , Springer-Verlag, BerlinNakakita, H., Effect of larval density on pupation of Tribolium freemani Hinton (Coleoptera: Tenebrionidae) (1982) Applied Entomology and Zoology, 17, pp. 269-276Okubo, A., (1980) Diffusion and Ecological Problems: Mathematical Models, , Springer Verlag, BerlinProut, T., Mcchesney, F., Competition among immatures affects their adult fertility: Population dynamics (1985) American Naturalist, 126, pp. 521-558Rohani, P., Miramontes, O., Immigration and the persistence of chaos in Population models (1995) Journal of the Theoretical Biology, 175, pp. 203-206Roughgarden, J., Gaines, S.D., Possingham, H., Recruitment dynamics in complex life cycles (1988) Science, 241, pp. 1460-1466Taylor, R.A.J., The relationship between density and distance of dispersing insects (1977) Ecological Entomology, 3, pp. 63-70Taylor, L.R., Taylor, R.A.J., Aggregation, migration and Population mechanics (1977) Nature, 265, pp. 415-421Tschinkel, W.R., Willson, C.P., Inhibition of pupation due to crowding in some tenebrionid beetles (1971) Journal of Experimental Zoology, 176, pp. 137-146Von Zuben, C.J., Reis, S.F., Val, J.B.R., Godoy, W.A.C., Ribeiro, O.B., Dynamics of a mathematical model of Chrysomya megacephala (1993) Journal of Medical Entomology, 30, pp. 443-448Von Zuben, C.J., Bassanezi, R.C., Reis, S.F., Godoy, W.A.C., Von Zuben, F.J., Theoretical approaches to forensic entomology. I. Mathematical model of postfeeding larval dispersal (1996) Journal of Applied Entomology, 120, pp. 379-382Yto, Y., Contact stimulation between intact and amputated deuteronymphs of Parasitus gregarious for induction of molting (1977) Applied Entomology and Zoology, 12, pp. 290-29

Von Zuben F.j. - One of the best experts on this subject based on the ideXlab platform.

  • Corrigendum To "non-local Interactions And The Dynamics Of Dispersal In Immature Insects" [j. Theor. Biol. 185 (4) (1997) 523-531]
    'Elsevier BV', 2015
    Co-Authors: Boldrini J.l., Bassanezi R.c., Moretti A.c., Von Zuben F.j., Godoy W.a.c., Dos Reis S.f.
    Abstract:

    A simple mathematical model is developed to explain the appearance of oscillations in the dispersal of larvae from the food source in experimental Populations of certain species of blowflies. The life history of the immature stage in these flies, and in a number of other insects, is a system with two Populations, one of larvae dispersing on the soil and the other of larvae that burrow in the soil to pupate. The observed oscillations in the horizontal distribution of buried pupae at the end of the dispersal process are hypothesized to be a consequence of larval crowding at a given point in the pupation substrate. It is assumed that dispersing larvae are capable of perceiving variations in density of larvae buried at a given point in the substrate of pupation, and that pupal density may influence pupation of dispersing larvae. The assumed interaction between dispersing larvae and the larvae that are burrowing to pupate is modeled using the concept of non-local effects. Numerical solutions of integro-partial differential equations developed to model density-dependent immature dispersal demonstrate that variation in the parameter that governs the non-local interaction between dispersing and buried larvae induces oscillations in the final horizontal distribution of pupae. © 2013.336252258Bengtsson, G., Hedlund, K., Rundgren, S., Food- and density-dependent dispersal] evidence from a soil collembolan (1994) Journal of Animal Ecology, 63, pp. 513-520Boldrini, J.L., Moretti, A.C., Patterns of post-feeding larval dispersion in blowflies (1995) Technical Report UNICAMP-IMECC, 24, pp. 1-21de Jong, G., The influence of the distribution of juveniles over patches of food on the dynamics of a Population (1979) Netherlands Journal of Zoology, 29, pp. 33-51Felsenstein, J., (1994) Theoretical Evolutionary Genetics, , University of Washington Press, SeattleGaines, S.D., Bertness, M., The dynamics of juvenile dispersal: why field ecologists must integrate (1993) Ecology, 74, pp. 2430-2435Gilpin, M., The genetic effective size of a metaPopulation (1991) Biological Journal of the Linnean Society, 42, pp. 165-175Ginzburg, L.R., (1983) Theory of Natural Selection and Population Growth, , The Benjamin: Cummings Publishing Company, Menlo ParkGodoy, W.A.C., Reis, S.F., Von Zuben, C.J., Ribeiro, O.B., Population dynamics of Chrysomya putoria (Dipt., Calliphoridae) (1993) Journal of Applied Entomology, 116, pp. 163-169Godoy, W.A.C., Fowler, H.G., Von Zuben, C.J., Ziti, L., Ribeiro, O.B., Larval dispersion in Chrysomya megacephala, Chrysomya putoria and Cochliomyia macellaria (Dipt., Calliphoridae) (1995) Journal of Applied Entomology, 119, pp. 263-266Godoy, W.A.C.G., Von Zuben, C.J., Reis, S.F., Larval dispersal in Chrysomya megacephala, Chrysomya putoria and Cochliomyia macellaria (Dipt., Calliphoridae): ecological consequences of aggregation behavior (1996) Journal of Applied Entomology, 120, pp. 423-426Greenberg, B., Behavior of postfeeding larvae of some Calliphoridae and a Muscidae (Diptera) (1990) Annals of the Entomological Society, 83, pp. 1210-1214Guimarães, J.H., Prado, A.P., Linhares, A.X., Three newly introduced blowfly species in Southern Brazil (Diptera: Calliphoridae) (1978) Revista Brasileira de Entomologia, 22, pp. 53-60Hanski, I., Carrion fly community dynamics: patchiness, seasonality and coexistence (1987) Ecological Entomology, 12, pp. 257-266Heinrich, J.C., Huyakorn, P.S., Mitchell, A.R., Zienkiewicz, O., An "upwind" finite element scheme for two-dimensional convective transport equation (1977) International Journal for Numerical Methods in Engineering, 11, pp. 131-143Ives, A., The optimal clutch size of insects when many females oviposit per patch (1989) American Naturalist, 133, pp. 671-687Ives, A., Aggregation and coexistence in a carrion fly community (1991) Ecological Monographs, 61, pp. 75-94Kot, M., Discrete-time travelling waves: ecological examples (1992) Journal of Mathematical Biology, 30, pp. 413-436Kotaki, T., Fujii, H., Crowding inhibits pupation in Tribolium freemani: contact chemical and mechanical stimuli are involved (1995) Entomologia Experimentalis et Applicata, 74, pp. 145-149Levot, G.W., Brown, K.R., Shipp, E., Larval Growth of some calliphorid and sarcophagid Diptera (1979) Bulletin of Entomological Research, 69, pp. 469-475Ludwig, J.A., Reynolds, J.F., (1988) Statistical Ecology: A Primer on Methods and Computing, , John Wiley and Sons, New YorkMueller, L.D., Density-dependent rates of Population Growth: Estimation in laboratory Populations (1986) American Naturalist, 128, pp. 282-293Mueller, L.D., Density-dependent Population Growth and natural selection in food-limited environments: the Drosophila model (1988) American Naturalist, 132, pp. 786-809Murray, J.D., (1990) Mathematical Biology, , Springer-Verlag, BerlinNagylaki, T., (1992) Introduction to Theoretical Population Genetics, , Springer-Verlag, BerlinNakakita, H., Effect of larval density on pupation of Tribolium freemani Hinton (Coleoptera: Tenebrionidae) (1982) Applied Entomology and Zoology, 17, pp. 269-276Okubo, A., (1980) Diffusion and Ecological Problems: Mathematical Models, , Springer Verlag, BerlinProut, T., Mcchesney, F., Competition among immatures affects their adult fertility: Population dynamics (1985) American Naturalist, 126, pp. 521-558Rohani, P., Miramontes, O., Immigration and the persistence of chaos in Population models (1995) Journal of the Theoretical Biology, 175, pp. 203-206Roughgarden, J., Gaines, S.D., Possingham, H., Recruitment dynamics in complex life cycles (1988) Science, 241, pp. 1460-1466Taylor, R.A.J., The relationship between density and distance of dispersing insects (1977) Ecological Entomology, 3, pp. 63-70Taylor, L.R., Taylor, R.A.J., Aggregation, migration and Population mechanics (1977) Nature, 265, pp. 415-421Tschinkel, W.R., Willson, C.P., Inhibition of pupation due to crowding in some tenebrionid beetles (1971) Journal of Experimental Zoology, 176, pp. 137-146Von Zuben, C.J., Reis, S.F., Val, J.B.R., Godoy, W.A.C., Ribeiro, O.B., Dynamics of a mathematical model of Chrysomya megacephala (1993) Journal of Medical Entomology, 30, pp. 443-448Von Zuben, C.J., Bassanezi, R.C., Reis, S.F., Godoy, W.A.C., Von Zuben, F.J., Theoretical approaches to forensic entomology. I. Mathematical model of postfeeding larval dispersal (1996) Journal of Applied Entomology, 120, pp. 379-382Yto, Y., Contact stimulation between intact and amputated deuteronymphs of Parasitus gregarious for induction of molting (1977) Applied Entomology and Zoology, 12, pp. 290-29

Boldrini J.l. - One of the best experts on this subject based on the ideXlab platform.

  • Corrigendum To "non-local Interactions And The Dynamics Of Dispersal In Immature Insects" [j. Theor. Biol. 185 (4) (1997) 523-531]
    'Elsevier BV', 2015
    Co-Authors: Boldrini J.l., Bassanezi R.c., Moretti A.c., Von Zuben F.j., Godoy W.a.c., Dos Reis S.f.
    Abstract:

    A simple mathematical model is developed to explain the appearance of oscillations in the dispersal of larvae from the food source in experimental Populations of certain species of blowflies. The life history of the immature stage in these flies, and in a number of other insects, is a system with two Populations, one of larvae dispersing on the soil and the other of larvae that burrow in the soil to pupate. The observed oscillations in the horizontal distribution of buried pupae at the end of the dispersal process are hypothesized to be a consequence of larval crowding at a given point in the pupation substrate. It is assumed that dispersing larvae are capable of perceiving variations in density of larvae buried at a given point in the substrate of pupation, and that pupal density may influence pupation of dispersing larvae. The assumed interaction between dispersing larvae and the larvae that are burrowing to pupate is modeled using the concept of non-local effects. Numerical solutions of integro-partial differential equations developed to model density-dependent immature dispersal demonstrate that variation in the parameter that governs the non-local interaction between dispersing and buried larvae induces oscillations in the final horizontal distribution of pupae. © 2013.336252258Bengtsson, G., Hedlund, K., Rundgren, S., Food- and density-dependent dispersal] evidence from a soil collembolan (1994) Journal of Animal Ecology, 63, pp. 513-520Boldrini, J.L., Moretti, A.C., Patterns of post-feeding larval dispersion in blowflies (1995) Technical Report UNICAMP-IMECC, 24, pp. 1-21de Jong, G., The influence of the distribution of juveniles over patches of food on the dynamics of a Population (1979) Netherlands Journal of Zoology, 29, pp. 33-51Felsenstein, J., (1994) Theoretical Evolutionary Genetics, , University of Washington Press, SeattleGaines, S.D., Bertness, M., The dynamics of juvenile dispersal: why field ecologists must integrate (1993) Ecology, 74, pp. 2430-2435Gilpin, M., The genetic effective size of a metaPopulation (1991) Biological Journal of the Linnean Society, 42, pp. 165-175Ginzburg, L.R., (1983) Theory of Natural Selection and Population Growth, , The Benjamin: Cummings Publishing Company, Menlo ParkGodoy, W.A.C., Reis, S.F., Von Zuben, C.J., Ribeiro, O.B., Population dynamics of Chrysomya putoria (Dipt., Calliphoridae) (1993) Journal of Applied Entomology, 116, pp. 163-169Godoy, W.A.C., Fowler, H.G., Von Zuben, C.J., Ziti, L., Ribeiro, O.B., Larval dispersion in Chrysomya megacephala, Chrysomya putoria and Cochliomyia macellaria (Dipt., Calliphoridae) (1995) Journal of Applied Entomology, 119, pp. 263-266Godoy, W.A.C.G., Von Zuben, C.J., Reis, S.F., Larval dispersal in Chrysomya megacephala, Chrysomya putoria and Cochliomyia macellaria (Dipt., Calliphoridae): ecological consequences of aggregation behavior (1996) Journal of Applied Entomology, 120, pp. 423-426Greenberg, B., Behavior of postfeeding larvae of some Calliphoridae and a Muscidae (Diptera) (1990) Annals of the Entomological Society, 83, pp. 1210-1214Guimarães, J.H., Prado, A.P., Linhares, A.X., Three newly introduced blowfly species in Southern Brazil (Diptera: Calliphoridae) (1978) Revista Brasileira de Entomologia, 22, pp. 53-60Hanski, I., Carrion fly community dynamics: patchiness, seasonality and coexistence (1987) Ecological Entomology, 12, pp. 257-266Heinrich, J.C., Huyakorn, P.S., Mitchell, A.R., Zienkiewicz, O., An "upwind" finite element scheme for two-dimensional convective transport equation (1977) International Journal for Numerical Methods in Engineering, 11, pp. 131-143Ives, A., The optimal clutch size of insects when many females oviposit per patch (1989) American Naturalist, 133, pp. 671-687Ives, A., Aggregation and coexistence in a carrion fly community (1991) Ecological Monographs, 61, pp. 75-94Kot, M., Discrete-time travelling waves: ecological examples (1992) Journal of Mathematical Biology, 30, pp. 413-436Kotaki, T., Fujii, H., Crowding inhibits pupation in Tribolium freemani: contact chemical and mechanical stimuli are involved (1995) Entomologia Experimentalis et Applicata, 74, pp. 145-149Levot, G.W., Brown, K.R., Shipp, E., Larval Growth of some calliphorid and sarcophagid Diptera (1979) Bulletin of Entomological Research, 69, pp. 469-475Ludwig, J.A., Reynolds, J.F., (1988) Statistical Ecology: A Primer on Methods and Computing, , John Wiley and Sons, New YorkMueller, L.D., Density-dependent rates of Population Growth: Estimation in laboratory Populations (1986) American Naturalist, 128, pp. 282-293Mueller, L.D., Density-dependent Population Growth and natural selection in food-limited environments: the Drosophila model (1988) American Naturalist, 132, pp. 786-809Murray, J.D., (1990) Mathematical Biology, , Springer-Verlag, BerlinNagylaki, T., (1992) Introduction to Theoretical Population Genetics, , Springer-Verlag, BerlinNakakita, H., Effect of larval density on pupation of Tribolium freemani Hinton (Coleoptera: Tenebrionidae) (1982) Applied Entomology and Zoology, 17, pp. 269-276Okubo, A., (1980) Diffusion and Ecological Problems: Mathematical Models, , Springer Verlag, BerlinProut, T., Mcchesney, F., Competition among immatures affects their adult fertility: Population dynamics (1985) American Naturalist, 126, pp. 521-558Rohani, P., Miramontes, O., Immigration and the persistence of chaos in Population models (1995) Journal of the Theoretical Biology, 175, pp. 203-206Roughgarden, J., Gaines, S.D., Possingham, H., Recruitment dynamics in complex life cycles (1988) Science, 241, pp. 1460-1466Taylor, R.A.J., The relationship between density and distance of dispersing insects (1977) Ecological Entomology, 3, pp. 63-70Taylor, L.R., Taylor, R.A.J., Aggregation, migration and Population mechanics (1977) Nature, 265, pp. 415-421Tschinkel, W.R., Willson, C.P., Inhibition of pupation due to crowding in some tenebrionid beetles (1971) Journal of Experimental Zoology, 176, pp. 137-146Von Zuben, C.J., Reis, S.F., Val, J.B.R., Godoy, W.A.C., Ribeiro, O.B., Dynamics of a mathematical model of Chrysomya megacephala (1993) Journal of Medical Entomology, 30, pp. 443-448Von Zuben, C.J., Bassanezi, R.C., Reis, S.F., Godoy, W.A.C., Von Zuben, F.J., Theoretical approaches to forensic entomology. I. Mathematical model of postfeeding larval dispersal (1996) Journal of Applied Entomology, 120, pp. 379-382Yto, Y., Contact stimulation between intact and amputated deuteronymphs of Parasitus gregarious for induction of molting (1977) Applied Entomology and Zoology, 12, pp. 290-29

Bassanezi R.c. - One of the best experts on this subject based on the ideXlab platform.

  • Corrigendum To "non-local Interactions And The Dynamics Of Dispersal In Immature Insects" [j. Theor. Biol. 185 (4) (1997) 523-531]
    'Elsevier BV', 2015
    Co-Authors: Boldrini J.l., Bassanezi R.c., Moretti A.c., Von Zuben F.j., Godoy W.a.c., Dos Reis S.f.
    Abstract:

    A simple mathematical model is developed to explain the appearance of oscillations in the dispersal of larvae from the food source in experimental Populations of certain species of blowflies. The life history of the immature stage in these flies, and in a number of other insects, is a system with two Populations, one of larvae dispersing on the soil and the other of larvae that burrow in the soil to pupate. The observed oscillations in the horizontal distribution of buried pupae at the end of the dispersal process are hypothesized to be a consequence of larval crowding at a given point in the pupation substrate. It is assumed that dispersing larvae are capable of perceiving variations in density of larvae buried at a given point in the substrate of pupation, and that pupal density may influence pupation of dispersing larvae. The assumed interaction between dispersing larvae and the larvae that are burrowing to pupate is modeled using the concept of non-local effects. Numerical solutions of integro-partial differential equations developed to model density-dependent immature dispersal demonstrate that variation in the parameter that governs the non-local interaction between dispersing and buried larvae induces oscillations in the final horizontal distribution of pupae. © 2013.336252258Bengtsson, G., Hedlund, K., Rundgren, S., Food- and density-dependent dispersal] evidence from a soil collembolan (1994) Journal of Animal Ecology, 63, pp. 513-520Boldrini, J.L., Moretti, A.C., Patterns of post-feeding larval dispersion in blowflies (1995) Technical Report UNICAMP-IMECC, 24, pp. 1-21de Jong, G., The influence of the distribution of juveniles over patches of food on the dynamics of a Population (1979) Netherlands Journal of Zoology, 29, pp. 33-51Felsenstein, J., (1994) Theoretical Evolutionary Genetics, , University of Washington Press, SeattleGaines, S.D., Bertness, M., The dynamics of juvenile dispersal: why field ecologists must integrate (1993) Ecology, 74, pp. 2430-2435Gilpin, M., The genetic effective size of a metaPopulation (1991) Biological Journal of the Linnean Society, 42, pp. 165-175Ginzburg, L.R., (1983) Theory of Natural Selection and Population Growth, , The Benjamin: Cummings Publishing Company, Menlo ParkGodoy, W.A.C., Reis, S.F., Von Zuben, C.J., Ribeiro, O.B., Population dynamics of Chrysomya putoria (Dipt., Calliphoridae) (1993) Journal of Applied Entomology, 116, pp. 163-169Godoy, W.A.C., Fowler, H.G., Von Zuben, C.J., Ziti, L., Ribeiro, O.B., Larval dispersion in Chrysomya megacephala, Chrysomya putoria and Cochliomyia macellaria (Dipt., Calliphoridae) (1995) Journal of Applied Entomology, 119, pp. 263-266Godoy, W.A.C.G., Von Zuben, C.J., Reis, S.F., Larval dispersal in Chrysomya megacephala, Chrysomya putoria and Cochliomyia macellaria (Dipt., Calliphoridae): ecological consequences of aggregation behavior (1996) Journal of Applied Entomology, 120, pp. 423-426Greenberg, B., Behavior of postfeeding larvae of some Calliphoridae and a Muscidae (Diptera) (1990) Annals of the Entomological Society, 83, pp. 1210-1214Guimarães, J.H., Prado, A.P., Linhares, A.X., Three newly introduced blowfly species in Southern Brazil (Diptera: Calliphoridae) (1978) Revista Brasileira de Entomologia, 22, pp. 53-60Hanski, I., Carrion fly community dynamics: patchiness, seasonality and coexistence (1987) Ecological Entomology, 12, pp. 257-266Heinrich, J.C., Huyakorn, P.S., Mitchell, A.R., Zienkiewicz, O., An "upwind" finite element scheme for two-dimensional convective transport equation (1977) International Journal for Numerical Methods in Engineering, 11, pp. 131-143Ives, A., The optimal clutch size of insects when many females oviposit per patch (1989) American Naturalist, 133, pp. 671-687Ives, A., Aggregation and coexistence in a carrion fly community (1991) Ecological Monographs, 61, pp. 75-94Kot, M., Discrete-time travelling waves: ecological examples (1992) Journal of Mathematical Biology, 30, pp. 413-436Kotaki, T., Fujii, H., Crowding inhibits pupation in Tribolium freemani: contact chemical and mechanical stimuli are involved (1995) Entomologia Experimentalis et Applicata, 74, pp. 145-149Levot, G.W., Brown, K.R., Shipp, E., Larval Growth of some calliphorid and sarcophagid Diptera (1979) Bulletin of Entomological Research, 69, pp. 469-475Ludwig, J.A., Reynolds, J.F., (1988) Statistical Ecology: A Primer on Methods and Computing, , John Wiley and Sons, New YorkMueller, L.D., Density-dependent rates of Population Growth: Estimation in laboratory Populations (1986) American Naturalist, 128, pp. 282-293Mueller, L.D., Density-dependent Population Growth and natural selection in food-limited environments: the Drosophila model (1988) American Naturalist, 132, pp. 786-809Murray, J.D., (1990) Mathematical Biology, , Springer-Verlag, BerlinNagylaki, T., (1992) Introduction to Theoretical Population Genetics, , Springer-Verlag, BerlinNakakita, H., Effect of larval density on pupation of Tribolium freemani Hinton (Coleoptera: Tenebrionidae) (1982) Applied Entomology and Zoology, 17, pp. 269-276Okubo, A., (1980) Diffusion and Ecological Problems: Mathematical Models, , Springer Verlag, BerlinProut, T., Mcchesney, F., Competition among immatures affects their adult fertility: Population dynamics (1985) American Naturalist, 126, pp. 521-558Rohani, P., Miramontes, O., Immigration and the persistence of chaos in Population models (1995) Journal of the Theoretical Biology, 175, pp. 203-206Roughgarden, J., Gaines, S.D., Possingham, H., Recruitment dynamics in complex life cycles (1988) Science, 241, pp. 1460-1466Taylor, R.A.J., The relationship between density and distance of dispersing insects (1977) Ecological Entomology, 3, pp. 63-70Taylor, L.R., Taylor, R.A.J., Aggregation, migration and Population mechanics (1977) Nature, 265, pp. 415-421Tschinkel, W.R., Willson, C.P., Inhibition of pupation due to crowding in some tenebrionid beetles (1971) Journal of Experimental Zoology, 176, pp. 137-146Von Zuben, C.J., Reis, S.F., Val, J.B.R., Godoy, W.A.C., Ribeiro, O.B., Dynamics of a mathematical model of Chrysomya megacephala (1993) Journal of Medical Entomology, 30, pp. 443-448Von Zuben, C.J., Bassanezi, R.C., Reis, S.F., Godoy, W.A.C., Von Zuben, F.J., Theoretical approaches to forensic entomology. I. Mathematical model of postfeeding larval dispersal (1996) Journal of Applied Entomology, 120, pp. 379-382Yto, Y., Contact stimulation between intact and amputated deuteronymphs of Parasitus gregarious for induction of molting (1977) Applied Entomology and Zoology, 12, pp. 290-29