Extinctions in a spatial model of fossil communities subject to correlated environmental disturbance
We present a spatial model to study the behaviour of species communities subjected to environmental stress in the form of coloured noise, focusing on long-time changes of time scales larger than 1 ka. The sensitivity to environmental change is introduced by assigning each species with an optimal val...
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Published in | Ecological complexity Vol. 6; no. 1; pp. 70 - 75 |
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Language | English |
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01.03.2009
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Abstract | We present a spatial model to study the behaviour of species communities subjected to environmental stress in the form of coloured noise, focusing on long-time changes of time scales larger than 1
ka. The sensitivity to environmental change is introduced by assigning each species with an optimal value of a certain environmental variable like e.g., the temperature, and with a fitness function having the form of a Gaussian. Each species is represented by a point on a surface and competes with neighbours. Species can evolve to new species with a different optimal value, or they can migrate to regions with better environmental conditions. We find that coloured noise can prompt sudden extinctions in similarity with the fossil record. The model also reproduces the well-known fact that that eurytopic species (generalists) are favoured during environmental stresses, and shows that a strong environmental gradient may ameliorate the species performance. |
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AbstractList | We present a spatial model to study the behaviour of species communities subjected to environmental stress in the form of coloured noise, focusing on long-time changes of time scales larger than 1
ka. The sensitivity to environmental change is introduced by assigning each species with an optimal value of a certain environmental variable like e.g., the temperature, and with a fitness function having the form of a Gaussian. Each species is represented by a point on a surface and competes with neighbours. Species can evolve to new species with a different optimal value, or they can migrate to regions with better environmental conditions. We find that coloured noise can prompt sudden extinctions in similarity with the fossil record. The model also reproduces the well-known fact that that eurytopic species (generalists) are favoured during environmental stresses, and shows that a strong environmental gradient may ameliorate the species performance. We present a spatial model to study the behaviour of species communities subjected to environmental stress in the form of coloured noise, focusing on long-time changes of time scales larger than 1ka. The sensitivity to environmental change is introduced by assigning each species with an optimal value of a certain environmental variable like e.g., the temperature, and with a fitness function having the form of a Gaussian. Each species is represented by a point on a surface and competes with neighbours. Species can evolve to new species with a different optimal value, or they can migrate to regions with better environmental conditions. We find that coloured noise can prompt sudden extinctions in similarity with the fossil record. The model also reproduces the well-known fact that that eurytopic species (generalists) are favoured during environmental stresses, and shows that a strong environmental gradient may ameliorate the species performance. |
Author | De Blasio, Fabio Vittorio De Blasio, Birgitte Freiesleben |
Author_xml | – sequence: 1 givenname: Fabio Vittorio surname: De Blasio fullname: De Blasio, Fabio Vittorio email: fvb@ngi.no organization: Department of Geosciences, University of Oslo, Oslo, Norway – sequence: 2 givenname: Birgitte Freiesleben surname: De Blasio fullname: De Blasio, Birgitte Freiesleben organization: Department of Biostatistics, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway |
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Cites_doi | 10.1175/1520-0442(1997)010<1331:AAMOTN>2.0.CO;2 10.1098/rstb.1989.0091 10.1098/rstb.1989.0086 10.1103/PhysRevE.69.061106 10.1016/S0012-821X(98)00051-X 10.2307/2410301 10.1016/S0022-1694(97)00102-9 10.1016/S0304-3800(00)00303-3 10.1126/science.240.4855.996 10.1016/S0169-5347(98)01518-3 10.1016/0169-5347(96)81067-6 10.1103/PhysRevE.58.6877 10.1029/2003GL018099 10.1098/rspb.2007.1302 10.1098/rspb.1999.0731 |
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