Propagation of permanent perturbations in food chains and food webs
Fluxes of matter through an ecosystem are subject to influences arising in its external surroundings. Variations of these influences lead to changes in the flux pattern of the ecosystem. Straightforward application of the Chain Rule shows how the sensitivity of the steady state can be resolved into...
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| Published in | Ecological modelling Vol. 107; no. 2; pp. 225 - 235 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
Amsterdam
Elsevier B.V
01.04.1998
Elsevier |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0304-3800 1872-7026 |
| DOI | 10.1016/S0304-3800(97)00220-2 |
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| Abstract | Fluxes of matter through an ecosystem are subject to influences arising in its external surroundings. Variations of these influences lead to changes in the flux pattern of the ecosystem. Straightforward application of the Chain Rule shows how the sensitivity of the steady state can be resolved into a matrix containing the direct external influences on the ecosystem's fluxes premultiplied by the inverse of the community matrix. An example of this formalism is given, and various ways to model flux functions are briefly reviewed. The formalism is applied to trophic cascades theory, which was later assimilated into the Bottom up:top-down theory. A consistency check on this model is given. The concept of ratio-dependence has been put forward as an explanation of why trophic cascades must peter out, away from the locus of direct perturbation. It is shown that ratio-dependence achieves this by virtue of satisfying a more general condition on so-called `coupling strengths'. |
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| AbstractList | Fluxes of matter through an ecosystem are subject to influences arising in its external surroundings. Variations of these influences lead to changes in the flux pattern of the ecosystem. Straightforward application of the Chain Rule shows how the sensitivity of the steady state can be resolved into a matrix containing the direct external influences on the ecosystem's fluxes premultiplied by the inverse of the community matrix. An example of this formalism is given, and various ways to model flux functions are briefly reviewed. The formalism is applied to trophic cascades theory, which was later assimilated into the Bottom up:top-down theory. A consistency check on this model is given. The concept of ratio-dependence has been put forward as an explanation of why trophic cascades must peter out, away from the locus of direct perturbation. It is shown that ratio-dependence achieves this by virtue of satisfying a more general condition on so-called `coupling strengths'. |
| Author | van den Berg, Hugo Antontus |
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| Cites_doi | 10.1890/0012-9658(1997)078[1946:PANEOO]2.0.CO;2 10.2307/1939452 10.2307/2937172 10.1006/jtbi.1995.0216 10.2307/1939878 10.2307/1309989 10.1016/0304-3800(92)90085-S 10.1086/285092 10.2307/1940449 10.2307/1940009 10.2307/1940154 10.1038/350669a0 10.1006/jtbi.1995.0171 10.2307/1940007 10.2307/1940153 10.2307/1936298 10.2307/1940006 10.1016/S0022-5193(89)80211-5 10.1086/285850 10.2307/1940155 10.1890/0012-9658(1997)078[1388:BMTCEO]2.0.CO;2 10.1086/282146 10.1007/BF00317560 10.2307/1940152 10.1038/275542a0 10.2307/1940008 10.2307/1942603 |
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| Keywords | Ecosystem disturbance Food chains Ecosystem flux analysis Bottom-up:top-down propagation Trophic cascades Trophic chain Food web Propagation Trophic cascade Disturbed ecosystem |
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Monogr. doi: 10.2307/1942603 |
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| Snippet | Fluxes of matter through an ecosystem are subject to influences arising in its external surroundings. Variations of these influences lead to changes in the... |
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| SubjectTerms | Animal, plant and microbial ecology Biological and medical sciences Bottom-up:top-down propagation Ecosystem disturbance Ecosystem flux analysis Food chains Fundamental and applied biological sciences. Psychology General aspects. Techniques Methods and techniques (sampling, tagging, trapping, modelling...) Trophic cascades |
| Title | Propagation of permanent perturbations in food chains and food webs |
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