Literature DB >> 16846908

Modelling dispersal of a temperate insect in a changing climate.

Richard J Walters1, Mark Hassall, Mark G Telfer, Godfrey M Hewitt, Jean P Palutikof.   

Abstract

We construct a novel individual-based random-walk model to assess how predicted global climate change might affect the dispersal rates of a temperate insect. Using a novel approach we obtained accurate field measurements of daily movements for individuals over time to parameterize our model. Males were found to move significantly further on average than females. Significant variation in movement was evident among individuals; the most dispersive individuals moved up to five (females) and seven (males) times as far on average as the least dispersive individuals. Mean relative daily movement of both males and females were exponentially related to maximum daily temperature recorded within the grass sward. Variability, both within and among individuals, in relative daily movement was incorporated into the model using gamma probability distributions. Resultant dispersal functions for seasonal movement are predicted to be highly leptokurtic, which agrees well with observations from the field. Predictions of the model suggest that for populations at the polewards edge of the current range an increase of 3-5 degrees C in daily maximum temperature may increase the proportion of long-distance dispersers (those characterized as comprising the top 0.1% of furthest dispersing individuals under local conditions experienced during the 1963-1990 period) by up to 70%.

Mesh:

Year:  2006        PMID: 16846908      PMCID: PMC1635484          DOI: 10.1098/rspb.2006.3542

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  6 in total

1.  Extinction risk from climate change.

Authors:  Chris D Thomas; Alison Cameron; Rhys E Green; Michel Bakkenes; Linda J Beaumont; Yvonne C Collingham; Barend F N Erasmus; Marinez Ferreira De Siqueira; Alan Grainger; Lee Hannah; Lesley Hughes; Brian Huntley; Albert S Van Jaarsveld; Guy F Midgley; Lera Miles; Miguel A Ortega-Huerta; A Townsend Peterson; Oliver L Phillips; Stephen E Williams
Journal:  Nature       Date:  2004-01-08       Impact factor: 49.962

2.  An aerial netting study of insects migrating at high altitude over England.

Authors:  J W Chapman; D R Reynolds; A D Smith; E T Smith; I P Woiwod
Journal:  Bull Entomol Res       Date:  2004-04       Impact factor: 1.750

3.  Dispersal range analysis: quantifying individual variation in dispersal behaviour.

Authors:  Erik D Doerr; Veronica A J Doerr
Journal:  Oecologia       Date:  2004-09-17       Impact factor: 3.225

4.  Behavior at habitat boundaries can produce leptokurtic movement distributions.

Authors:  Juan Manuel Morales
Journal:  Am Nat       Date:  2002-10       Impact factor: 3.926

5.  Why trees migrate so fast: confronting theory with dispersal biology and the paleorecord.

Authors:  J S Clark
Journal:  Am Nat       Date:  1998-08       Impact factor: 3.926

6.  Explaining leptokurtic movement distributions: intrapopulation variation in boldness and exploration.

Authors:  D F Fraser; J F Gilliam; M J Daley; A N Le; G T Skalski
Journal:  Am Nat       Date:  2001-08       Impact factor: 3.926

  6 in total
  8 in total

1.  Ecotypic differentiation between urban and rural populations of the grasshopper Chorthippus brunneus relative to climate and habitat fragmentation.

Authors:  Gilles San Martin Y Gomez; Hans Van Dyck
Journal:  Oecologia       Date:  2011-11-23       Impact factor: 3.225

2.  The shape of the spatial kernel and its implications for biological invasions in patchy environments.

Authors:  Tom Lindström; Nina Håkansson; Uno Wennergren
Journal:  Proc Biol Sci       Date:  2010-11-03       Impact factor: 5.349

3.  New model diagnostics for spatio-temporal systems in epidemiology and ecology.

Authors:  Max S Y Lau; Glenn Marion; George Streftaris; Gavin J Gibson
Journal:  J R Soc Interface       Date:  2014-02-12       Impact factor: 4.118

4.  Should I stay or should I go? A habitat-dependent dispersal kernel improves prediction of movement.

Authors:  Fabrice Vinatier; Françoise Lescourret; Pierre-François Duyck; Olivier Martin; Rachid Senoussi; Philippe Tixier
Journal:  PLoS One       Date:  2011-07-12       Impact factor: 3.240

5.  Combining climatic projections and dispersal ability: a method for estimating the responses of sandfly vector species to climate change.

Authors:  Dominik Fischer; Philipp Moeller; Stephanie M Thomas; Torsten J Naucke; Carl Beierkuhnlein
Journal:  PLoS Negl Trop Dis       Date:  2011-11-29

6.  Temporal-spatial dynamics in orthoptera in relation to nutrient availability and plant species richness.

Authors:  Rob J J Hendriks; Luisa G Carvalheiro; Roy M J C Kleukers; Jacobus C Biesmeijer
Journal:  PLoS One       Date:  2013-08-12       Impact factor: 3.240

7.  No evidence of the effect of extreme weather events on annual occurrence of four groups of ectothermic species.

Authors:  Agnieszka H Malinowska; Arco J van Strien; Jana Verboom; Michiel F WallisdeVries; Paul Opdam
Journal:  PLoS One       Date:  2014-10-17       Impact factor: 3.240

8.  Integrating the influence of weather into mechanistic models of butterfly movement.

Authors:  Luke C Evans; Richard M Sibly; Pernille Thorbek; Ian Sims; Tom H Oliver; Richard J Walters
Journal:  Mov Ecol       Date:  2019-09-02       Impact factor: 3.600

  8 in total

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