1995
DOI: 10.1038/377618a0
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Multiple equilibria in metapopulation dynamics

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Cited by 140 publications
(104 citation statements)
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“…The best examples are studies of various butter£y metapopulations. On the one hand, British butter£y populations do not show an obvious decline in spatial synchrony with distance (Sutcli¡e et al 1996), while on the other, Finnish butter£y populations display substantial asynchrony on a local scale, but seem to be synchronized over the entire metapopulation (Hanski et al 1995). There is also evidence of synchronous butter£y extinctions in response to single climatic events (Ehrlich et al 1980;Pollard & Yates 1993;Sutcli¡e et al 1996;Thomas et al 1996).…”
Section: Discussionmentioning
confidence: 99%
“…The best examples are studies of various butter£y metapopulations. On the one hand, British butter£y populations do not show an obvious decline in spatial synchrony with distance (Sutcli¡e et al 1996), while on the other, Finnish butter£y populations display substantial asynchrony on a local scale, but seem to be synchronized over the entire metapopulation (Hanski et al 1995). There is also evidence of synchronous butter£y extinctions in response to single climatic events (Ehrlich et al 1980;Pollard & Yates 1993;Sutcli¡e et al 1996;Thomas et al 1996).…”
Section: Discussionmentioning
confidence: 99%
“…For many organisms, this pattern is exacerbated by decreases in population density with decreasing fragment area (Bowers & Matter, 1997 ;Connor et al, 2000), although for invertebrates such a simple generalisation cannot be made because of inconsistent results in the literature Matter, 2000;Steffan-Dewenter & Tscharntke, 2000;Krauss et al, 2003a). Irrespective of variability in the density-area relationship between species, small fragment area imposes a maximum limit on population size that leaves species vulnerable to local extinction (Lande, 1993;Hanski et al, 1995 ;Amarasekare, 1998 ;Burkey, 1999;Brook, Burgman & Frankham, 2000;Brook et al, 2002). The underlying mechanisms driving this relationship can be divided into four categories (Shaffer, 1981): (1) environmental stochasticity, (2) demographic stochasticity, (3) natural catastrophes and (4) reduced genetic diversity (see also review by .…”
Section: Isolationmentioning
confidence: 99%
“…However, when scale or genetic diversity falls "too far," ecosystems or constituent species can tip downward into an alternate less desirable state, including the limiting (and absorbing) state of extinction. Environmental scientists have worked tirelessly at identifying and understanding thresholds in ecological systems in order that they might help resource managers avoid catastrophic collapse of biodiversity (13)(14)(15).…”
Section: Definitions and Conceptsmentioning
confidence: 99%