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Journal articles on the topic 'Ecological Modelling'

To see the other types of publications on this topic, follow the link: Ecological Modelling.

Author: Grafiati

Published: 4 June 2021

Last updated: 4 May 2024

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1

Jørgensen, Sven Erik. "Ecological Modelling by `Ecological Modelling'." Ecological Modelling 100, no. 1-3 (December 1997): 5–10. http://dx.doi.org/10.1016/s0304-3800(97)00158-0.

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2

Jørgensen, Sven Erik. "25 years of Ecological Modelling by Ecological Modelling." Ecological Modelling 126, no. 2-3 (February 2000): 95–99. http://dx.doi.org/10.1016/s0304-3800(00)00320-3.

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3

RAI, VIKAS. "MODELLING ECOLOGICAL SYSTEMS." International Journal of Bifurcation and Chaos 05, no. 02 (April 1995): 537–43. http://dx.doi.org/10.1142/s0218127495000429.

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The paper introduces some new techniques which facilitate the study of nonlinear coupled ordinary differential equations modelling ecological systems. The strength and weaknesses of these techniques are discussed in detail. It also assesses the usefulness of “deterministic chaos” as a paradigm to understanding the dynamics of interacting populations.

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4

Thuiller, Wilfried. "Ecological niche modelling." Current Biology 34, no. 6 (March 2024): R225—R229. http://dx.doi.org/10.1016/j.cub.2024.02.018.

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5

Mitsch, William J. "Fundamentals of Ecological Modelling." Journal of Environmental Quality 18, no. 2 (April 1989): 249. http://dx.doi.org/10.2134/jeq1989.00472425001800020027x.

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6

Scarnecchia, David L., and S. E. Jorgensen. "Fundamentals of Ecological Modelling." Journal of Range Management 48, no. 6 (November 1995): 566. http://dx.doi.org/10.2307/4003074.

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7

Legović, Tarzan. "Ecological modelling Internet resources." Ecological Modelling 100, no. 1-3 (December 1997): 163–69. http://dx.doi.org/10.1016/s0304-3800(97)00152-x.

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8

GRAZ, F. PATRICK. "Ecological Modelling: An Introduction." Austral Ecology 36, no. 7 (October 25, 2011): e41-e41. http://dx.doi.org/10.1111/j.1442-9993.2011.02273.x.

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9

Ulgiati, Sergio. "Fundamentals of ecological modelling." Ecological Modelling 78, no. 3 (April 1995): 285–86. http://dx.doi.org/10.1016/0304-3800(95)90077-2.

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10

Pavlova, S. A. "MODELLING OF RADIO ECOLOGICAL PROCESSES." RUDN Journal of Ecology and Life Safety 25, no. 1 (2017): 116–23. http://dx.doi.org/10.22363/2313-2310-2017-25-1-116-123.

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11

Feltham, Oliver. "After Nature: Modelling Ecological Practices." Design Philosophy Papers 9, no. 2 (July 2011): 81–91. http://dx.doi.org/10.2752/144871311x13968752924590.

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12

ESA. "Ecological and Environmental Modelling Workshops." Bulletin of the Ecological Society of America 93, no. 2 (April 2012): 112. http://dx.doi.org/10.1890/0012-9623-93.2.112.

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13

Fritsch, Matthias, Heike Lischke, and Katrin M. Meyer. "Scaling methods in ecological modelling." Methods in Ecology and Evolution 11, no. 11 (August 28, 2020): 1368–78. http://dx.doi.org/10.1111/2041-210x.13466.

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14

Jørgensen, Sven Erik. "Ecological modelling and systems ecology." Ecological Modelling 117, no. 1 (April 1999): 1–2. http://dx.doi.org/10.1016/s0304-3800(99)00025-3.

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15

Seppelt, Ralf. "ECOTOX-Ecological Modelling and Ecotoxicology." Ecological Engineering 18, no. 3 (January 2002): 391–94. http://dx.doi.org/10.1016/s0925-8574(01)00081-7.

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16

Yue, Tian-Xiang, Sven E. Jorgensen, and Guy R. Larocque. "Progress in global ecological modelling." Ecological Modelling 222, no. 14 (July 2011): 2172–77. http://dx.doi.org/10.1016/j.ecolmodel.2010.06.008.

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17

DeAngelis, D. L., J. C. Waterhouse, W. M. Post, and R. V. O'Neill. "Ecological modelling and disturbance evaluation." Ecological Modelling 29, no. 1-4 (September 1985): 399–419. http://dx.doi.org/10.1016/0304-3800(85)90063-8.

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18

Jørgensen, S. E. "About your journal: Ecological modelling." Ecological Modelling 50, no. 1-3 (March 1990): 1–4. http://dx.doi.org/10.1016/0304-3800(90)90039-j.

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19

Heymans, Johanna Jacomina. "ECOTOX: Ecological Modelling and Ecotoxicology." Ecological Modelling 144, no. 1 (October 2001): 97–98. http://dx.doi.org/10.1016/s0304-3800(01)00349-0.

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20

van Groenendael, J. M. "An introduction to ecological modelling." Trends in Ecology & Evolution 12, no. 12 (December 1997): 495–96. http://dx.doi.org/10.1016/s0169-5347(97)84411-4.

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21

Jørgensen, S. E. "Ecosystem theory and ecological modelling." Ecological Modelling 62, no. 1-3 (July 1992): vii—ix. http://dx.doi.org/10.1016/0304-3800(92)90079-t.

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22

Park, Young-Seuk, Christophe Baehr, Guy R. Larocque, José M. Sánchez-Pérez, and Sabine Sauvage. "Ecological Modelling for Ecosystem Sustainability." Ecological Modelling 306 (June 2015): 1–5. http://dx.doi.org/10.1016/j.ecolmodel.2015.04.008.

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23

Afonin*, A. N., Yu Yu Kulakova, and Yu A. Fedorova. "Environmental niche modelling as tool for pest risk assessment." PLANT PROTECTION NEWS 104, no. 1 (April 19, 2021): 40–52. http://dx.doi.org/10.31993/2308-6459-2021-104-1-14422.

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The article reviews the concept and technology of pest risk assessment for the spread of quarantine species based on ecological and geographical analysis and ecological niche modeling. Using a quarantine species Ipomoea hederacea (L.) Jacq. as an example, we calculated the ecological requirements of the species. The main ecological factors limiting the spread of I. hederacea were determined and the ecological amplitudes of the species in relation to each factor limiting its distribution were quantitatively estimated. We identified ecologically suitable habitats and compiled a map of the ecological-geographical niche of the species using specially created environmental maps based on the obtained data of the ecological limits of the species. Using the map of the ecological-geographical niche, the I. hederacea distribution risk in the regions of the Russian Federation was estimated. Similar maps can be used for basis of quantitative as well as targeted risk assessment of penetration and establishment of harmful organisms. Obtained information will be useful to compile lists of quarantine species, estimate the potential areas of geographic distribution of pests into Russian Federation, and make decisions for introduction of effective phytosanitary measures to prevent the penetration of these invasive organisms. It can also be used as the basis for organizing and conducting phytosanitary monitoring in the Russian Federation.

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24

Svirezhev, Yuri M. "Wetland modelling." Ecological Modelling 45, no. 2 (April 1989): 154–55. http://dx.doi.org/10.1016/0304-3800(89)90091-4.

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25

Auger, Pierre, Sandrine Charles, Muriel Viala, and Jean-Christophe Poggiale. "Aggregation and emergence in ecological modelling: integration of ecological levels." Ecological Modelling 127, no. 1 (March 2000): 11–20. http://dx.doi.org/10.1016/s0304-3800(99)00201-x.

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26

Diele, Fasma, and Carmela Marangi. "Geometric Numerical Integration in Ecological Modelling." Mathematics 8, no. 1 (December 20, 2019): 25. http://dx.doi.org/10.3390/math8010025.

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A major neglected weakness of many ecological models is the numerical method used to solve the governing systems of differential equations. Indeed, the discrete dynamics described by numerical integrators can provide spurious solution of the corresponding continuous model. The approach represented by the geometric numerical integration, by preserving qualitative properties of the solution, leads to improved numerical behaviour expecially in the long-time integration. Positivity of the phase space, Poisson structure of the flows, conservation of invariants that characterize the continuous ecological models are some of the qualitative characteristics well reproduced by geometric numerical integrators. In this paper we review the benefits induced by the use of geometric numerical integrators for some ecological differential models.

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27

Dunbar, R. I. M. "Ecological Modelling in an Evolutionary Context." Folia Primatologica 53, no. 1-4 (1989): 235–46. http://dx.doi.org/10.1159/000156419.

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28

Rushton, S. P. "The Ecological Modelling System of NELUP." Journal of Environmental Planning and Management 38, no. 1 (February 1995): 35–52. http://dx.doi.org/10.1080/09640569513101.

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29

Payne, Karen. "The VC dimension and ecological modelling." Ecological Modelling 118, no. 2-3 (June 1999): 249–59. http://dx.doi.org/10.1016/s0304-3800(99)00048-4.

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30

Fransz, H. G., J. P. Mommaerts, and G. Radach. "Ecological modelling of the North Sea." Netherlands Journal of Sea Research 28, no. 1-2 (November 1991): 67–140. http://dx.doi.org/10.1016/0077-7579(91)90005-l.

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31

Jørgensen, Sven Erik. "Ecological Modelling: editorial overview 2000–2005." Ecological Modelling 188, no. 2-4 (November 2005): 137–44. http://dx.doi.org/10.1016/j.ecolmodel.2005.08.003.

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32

Jørgensen, Sven Erik, Brian D. Fath, William Grant, and Søren Nors Nielsen. "The editorial policy of Ecological Modelling." Ecological Modelling 199, no. 1 (November 2006): 1–3. http://dx.doi.org/10.1016/j.ecolmodel.2006.07.001.

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33

Jørgensen, S. E. "Two hundred volumes of Ecological Modelling." Ecological Modelling 200, no. 3-4 (January 2007): 277–78. http://dx.doi.org/10.1016/j.ecolmodel.2006.10.006.

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34

Xu, Fu-Liu. "Fundamentals of Ecological Modelling, 3rd Edition." Ecological Modelling 166, no. 3 (August 2003): 295–96. http://dx.doi.org/10.1016/s0304-3800(03)00132-7.

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35

Jørgensen, S. E. "Model-Theoretical aspects of ecological modelling." Ecological Modelling 68, no. 1-2 (July 1993): viii. http://dx.doi.org/10.1016/0304-3800(93)90103-y.

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36

Jørgensen, Sven Erik, Søren Nors Nielsen, and Henning Mejer. "Emergy, environ, exergy and ecological modelling." Ecological Modelling 77, no. 2-3 (February 1995): 99–109. http://dx.doi.org/10.1016/0304-3800(93)e0080-m.

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37

Synes, Nicholas W., Calum Brown, Kevin Watts, Steven M. White, Mark A. Gilbert, and Justin M. J. Travis. "Emerging Opportunities for Landscape Ecological Modelling." Current Landscape Ecology Reports 1, no. 4 (October 31, 2016): 146–67. http://dx.doi.org/10.1007/s40823-016-0016-7.

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38

Holst, Niels, and Getachew F. Belete. "Domain-specific languages for ecological modelling." Ecological Informatics 27 (May 2015): 26–38. http://dx.doi.org/10.1016/j.ecoinf.2015.02.005.

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39

Chen, H., G. Q. Chen, and X. Ji. "Cosmic emergy based ecological systems modelling." Communications in Nonlinear Science and Numerical Simulation 15, no. 9 (September 2010): 2672–700. http://dx.doi.org/10.1016/j.cnsns.2009.09.025.

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40

Lorek, Helmut, and Michael Sonnenschein. "Modelling and simulation software to support individual-based ecological modelling." Ecological Modelling 115, no. 2-3 (February 1999): 199–216. http://dx.doi.org/10.1016/s0304-3800(98)00193-8.

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41

Silvert, William. "Modelling for managers." Ecological Modelling 47, no. 1-2 (September 1989): 53–64. http://dx.doi.org/10.1016/0304-3800(89)90109-9.

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42

Straškraba, M. "Modelling reservoir ecosystems." Ecological Modelling 74, no. 1-2 (July 1994): vi. http://dx.doi.org/10.1016/0304-3800(94)90107-4.

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43

Kompare, Boris. "Water quality modelling." Ecological Modelling 72, no. 1-2 (March 1994): 145–49. http://dx.doi.org/10.1016/0304-3800(94)90149-x.

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44

Bazykin, A. D. "Analysis of ecological systems: State-of-the-art in ecological modelling." Ecological Modelling 34, no. 1-2 (November 1986): 137–39. http://dx.doi.org/10.1016/0304-3800(86)90086-4.

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45

Gattie, David K., Nadia N. Kellam, and H. Jeff Turk. "Informing ecological engineering through ecological network analysis, ecological modelling, and concepts of systems and engineering ecology." Ecological Modelling 208, no. 1 (October 2007): 25–40. http://dx.doi.org/10.1016/j.ecolmodel.2007.04.027.

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46

Van Groenendael, J., C. Mony, M. Garbey, F. Campillo, and A. El Hamidi. "Introduction to the special issue of Ecological Modelling: “Modelling clonal plant growth: From ecological concepts to mathematics”." Ecological Modelling 234 (June 2012): 1–2. http://dx.doi.org/10.1016/j.ecolmodel.2012.03.013.

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47

Drake, John M. "Range bagging: a new method for ecological niche modelling from presence-only data." Journal of The Royal Society Interface 12, no. 107 (June 2015): 20150086. http://dx.doi.org/10.1098/rsif.2015.0086.

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The ecological niche is the set of environments in which a population of a species can persist without introduction of individuals from other locations. A good mathematical or computational representation of the niche is a prerequisite to addressing many questions in ecology, biogeography, evolutionary biology and conservation. A particularly challenging question for ecological niche modelling is the problem of presence-only modelling . That is, can an ecological niche be identified from records drawn only from the set of niche environments without records from non-niche environments for comparison? Here, I introduce a new method for ecological niche modelling from presence-only data called range bagging . Range bagging draws on the concept of a species' environmental range , but was inspired by the empirical performance of ensemble learning algorithms in other areas of ecological research. This paper extends the concept of environmental range to multiple dimensions and shows that range bagging is computationally feasible even when the number of environmental dimensions is large. The target of the range bagging base learner is an environmental tolerance of the species in a projection of its niche and is therefore an ecologically interpretable property of a species' biological requirements. The computational complexity of range bagging is linear in the number of examples, which compares favourably with the main alternative, Qhull. In conclusion, range bagging appears to be a reasonable choice for niche modelling in applications in which a presence-only method is desired and may provide a solution to problems in other disciplines where one-class classification is required, such as outlier detection and concept learning.

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48

Jørgensen, Sven Erik. "Ecological network theory." Ecological Modelling 208, no. 1 (October 2007): 1–2. http://dx.doi.org/10.1016/j.ecolmodel.2007.04.018.

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49

Zhou, Jizhong, Shijun Ma, and George W. Hinman. "Ecological exergy analysis: a new method for ecological energetics research." Ecological Modelling 84, no. 1-3 (January 1996): 291–303. http://dx.doi.org/10.1016/0304-3800(94)00135-9.

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50

Ужга-Ребров, Олег. "АНАЛИЗ ОСНОВНЫХ ИСТОЧНИКОВ ОШИБОК В ЭКОЛОГИЧЕСКОМ МОДЕЛИРОВАНИИ." Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference 1 (June 20, 2001): 210. http://dx.doi.org/10.17770/etr2001vol1.1963.

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The ecological systems are very difficult and multiform. There are many errors in the modelling such systems. Sensitivity analysis of errors for model's outputs is integral part o f modelling. In this paper short review of error creating in ecological modelling is given.

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