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• W163313707 endingPage "1048" @default.
• W163313707 startingPage "1031" @default.
• W163313707 abstract "Where habitat loss and fragmentation is severe, many native species are likely to have reduced levels of dispersal between remnant populations. For those species to avoid regional extinction in fragmented landscapes, they must undergo some kind of metapopulation dynamics so that local extinctions are countered by recolonisation. The importance of spatial dynamics for regional survival means that research into metapopulation dynamics is essential. In this review I explore the approaches taken to examine metapopulation dynamics, highlight the analytical methods used to get the most information out of field data, and discover some of the major research gaps. Statistical models, including Hanski’s incidence function model (IFM) are frequently applied to presence–absence data, an approach that is often strengthened using long-term data sets that document extinctions and colonisations. Recent developments are making the IFM more biologically realistic and expanding the range of situations for which the model is relevant. Although accurate predictions using the IFM seem unlikely, it may be useful for ranking management decisions. A key weakness of presence–absence modelling is that the mechanisms underlying spatial dynamics remain inferential, so combining modelling approaches with detailed demographic research is warranted. For species where very large data sets cannot be obtained to facilitate statistical modelling, a demographic approach alone or with stochastic modelling may be the only viable research angle to take. Dispersal is a central process in metapopulation dynamics. Research combining mark–recapture or telemetry methods with model-selection procedures demonstrate that dispersal is frequently oversimplified in conceptual and statistical metapopulation models. Dispersal models like the island model that underlies classic metapopulation theory do not approximate the behaviour of real species in fragmented landscapes. Nevertheless, it remains uncertain if additional biological realism will improve predictions of statistical metapopulation models. Genetic methods can give better estimates of dispersal than direct methods and take less effort, so they should be routinely explored alongside direct ecological methods. Recent development of metacommunity theory (communities connected by dispersal) emphasises a range of mechanisms that complement metapopulation theory. Taking both theories into account will enhance interpretation of field data. The extent of metapopulation dynamics in human modified landscapes remains uncertain, but we have a powerful array of field and analytical approaches for reducing this knowledge gap. The most informative way forward requires that many species are studied in the same fragmented landscape by applying a selection of approaches that reveal complementary aspects of spatial dynamics." @default.
• W163313707 created "2016-06-24" @default.
• W163313707 creator A5061102329 @default.
• W163313707 date "2007-10-01" @default.
• W163313707 modified "2023-09-27" @default.
• W163313707 title "How to find a metapopulationThis review is one of a series dealing with some aspects of the impact of habitat fragmentation on animals and plants. This series is one of several virtual symposia focussing on ecological topics that will be published in the Journal from time to time." @default.
• W163313707 cites W1481810985 @default.
• W163313707 cites W1559139062 @default.
• W163313707 cites W1886329524 @default.
• W163313707 cites W1939346899 @default.
• W163313707 cites W1967317834 @default.
• W163313707 cites W1974563023 @default.
• W163313707 cites W1976690360 @default.
• W163313707 cites W1977325489 @default.
• W163313707 cites W1979432414 @default.
• W163313707 cites W1981240721 @default.
• W163313707 cites W1982013420 @default.
• W163313707 cites W1983490917 @default.
• W163313707 cites W1984455118 @default.
• W163313707 cites W1985574025 @default.
• W163313707 cites W1986219264 @default.
• W163313707 cites W1987694301 @default.
• W163313707 cites W1988562342 @default.
• W163313707 cites W1990525251 @default.
• W163313707 cites W1992206934 @default.
• W163313707 cites W199443125 @default.
• W163313707 cites W1998387706 @default.
• W163313707 cites W1999016589 @default.
• W163313707 cites W2001691516 @default.
• W163313707 cites W2001962293 @default.
• W163313707 cites W2004468365 @default.
• W163313707 cites W2005839884 @default.
• W163313707 cites W2006204687 @default.
• W163313707 cites W2009518010 @default.
• W163313707 cites W2010317471 @default.
• W163313707 cites W2010639373 @default.
• W163313707 cites W2011041755 @default.
• W163313707 cites W2012901500 @default.
• W163313707 cites W2015776062 @default.
• W163313707 cites W2018776588 @default.
• W163313707 cites W2019664659 @default.
• W163313707 cites W2020909363 @default.
• W163313707 cites W2023513050 @default.
• W163313707 cites W2033498661 @default.
• W163313707 cites W2034764513 @default.
• W163313707 cites W2038622599 @default.
• W163313707 cites W2039262581 @default.
• W163313707 cites W2041216073 @default.
• W163313707 cites W2046968156 @default.
• W163313707 cites W2047384175 @default.
• W163313707 cites W2048558457 @default.
• W163313707 cites W2051723097 @default.
• W163313707 cites W2055695305 @default.
• W163313707 cites W2056084881 @default.
• W163313707 cites W2057621544 @default.
• W163313707 cites W2060796700 @default.
• W163313707 cites W2061497497 @default.
• W163313707 cites W2062992830 @default.
• W163313707 cites W2065851975 @default.
• W163313707 cites W2066755043 @default.
• W163313707 cites W2069186838 @default.
• W163313707 cites W2076948552 @default.
• W163313707 cites W2077601677 @default.
• W163313707 cites W2079721961 @default.
• W163313707 cites W2080740776 @default.
• W163313707 cites W2084168382 @default.
• W163313707 cites W2087009357 @default.
• W163313707 cites W2087126555 @default.
• W163313707 cites W2087911853 @default.
• W163313707 cites W2089446583 @default.
• W163313707 cites W2089901390 @default.
• W163313707 cites W2092187107 @default.
• W163313707 cites W2092446370 @default.
• W163313707 cites W2094328368 @default.
• W163313707 cites W2095982103 @default.
• W163313707 cites W2096035198 @default.
• W163313707 cites W2096252857 @default.
• W163313707 cites W2100891518 @default.
• W163313707 cites W2101096405 @default.
• W163313707 cites W2101585614 @default.
• W163313707 cites W2101690969 @default.
• W163313707 cites W2109008808 @default.
• W163313707 cites W2109542470 @default.
• W163313707 cites W2109731275 @default.
• W163313707 cites W2111219678 @default.
• W163313707 cites W2113886108 @default.
• W163313707 cites W2114222441 @default.
• W163313707 cites W2117886701 @default.
• W163313707 cites W2119266579 @default.
• W163313707 cites W2119288505 @default.
• W163313707 cites W2119501684 @default.
• W163313707 cites W2120857030 @default.
• W163313707 cites W2120892588 @default.
• W163313707 cites W2121815863 @default.
• W163313707 cites W2122286614 @default.
• W163313707 cites W2122701058 @default.
• W163313707 cites W2123247001 @default.
• W163313707 cites W2126116609 @default.

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