Literature DB >> 35279724

Cueing on distant conditions before migrating does not prevent false starts: a case study with African elephants.

Anne Pandraud1, Adrian M Shrader1, Arnold Tshipa2,3, Nobesuthu Ngwenya4, Simon Chamaillé-Jammes5,6,7.   

Abstract

Migratory animals often use environmental cues to time their seasonal migrations. Local conditions may, however, differ from distant ones, and current conditions may poorly predict future conditions. This may be particularly true for early wet season conditions in tropical systems, as storms and associated rainfall events are generally not predictable at the scale of weeks or days and are heterogeneously distributed even at the scale of a few kilometres. How migratory animals cope with such challenges, and the consequences they may have, remain poorly known. We used time-to-event models based on GPS data from 19 African elephant herds from Hwange National Park (Zimbabwe) to study the effect of local and distant rainfall events on the elephants' decision to initiate their wet season migration. Elephants relied more on distant rainfall events occurring along the future migration route than on local events when initiating their migration. Such ability to use distant cues does not, however, ensure an immediate migration success. In over 30% of the cases, the elephants came back to their dry season range, sometimes after having travelled > 80% of the expected migration distance. This happened particularly when there was little additional rain falling during the migration. All elephants successfully migrated later in the season. Our study improves the understanding of the migratory ecology of elephants. More broadly, it raises questions about the reliability of rainfall as a migratory cue in tropical systems, and shed light on one of its potential consequences, the poorly quantified phenomenon of migration false starts.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Climate; Migration; Movement; Sensory ecology; Time-to-event model

Mesh:

Year:  2022        PMID: 35279724     DOI: 10.1007/s00442-022-05148-1

Source DB:  PubMed          Journal:  Oecologia        ISSN: 0029-8549            Impact factor:   3.225


  10 in total

1.  Resource variability, aggregation and direct density dependence in an open context: the local regulation of an African elephant population.

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2.  Genetic response to rapid climate change: it's seasonal timing that matters.

Authors:  W E Bradshaw; C M Holzapfel
Journal:  Mol Ecol       Date:  2007-09-10       Impact factor: 6.185

3.  Opposing rainfall and plant nutritional gradients best explain the wildebeest migration in the Serengeti.

Authors:  Ricardo M Holdo; Robert D Holt; John M Fryxell
Journal:  Am Nat       Date:  2009-04       Impact factor: 3.926

4.  Causes and consequences of migration by large herbivores.

Authors:  J M Fryxell; A R Sinclair
Journal:  Trends Ecol Evol       Date:  1988-09       Impact factor: 17.712

5.  The greenscape shapes surfing of resource waves in a large migratory herbivore.

Authors:  Ellen O Aikens; Matthew J Kauffman; Jerod A Merkle; Samantha P H Dwinnell; Gary L Fralick; Kevin L Monteith
Journal:  Ecol Lett       Date:  2017-04-25       Impact factor: 9.492

6.  Identifying stationary phases in multivariate time series for highlighting behavioural modes and home range settlements.

Authors:  Rémi Patin; Marie-Pierre Etienne; Emilie Lebarbier; Simon Chamaillé-Jammes; Simon Benhamou
Journal:  J Anim Ecol       Date:  2019-10-08       Impact factor: 5.091

7.  A migratory northern ungulate in the pursuit of spring: jumping or surfing the green wave?

Authors:  Richard Bischof; Leif Egil Loe; Erling L Meisingset; Barbara Zimmermann; Bram Van Moorter; Atle Mysterud
Journal:  Am Nat       Date:  2012-08-23       Impact factor: 3.926

8.  Visual acuity and heterogeneities of retinal ganglion cell densities and the tapetum lucidum of the African elephant (Loxodonta africana).

Authors:  John D Pettigrew; Adhil Bhagwandin; Mark Haagensen; Paul R Manger
Journal:  Brain Behav Evol       Date:  2010-06-28       Impact factor: 1.808

9.  African elephants adjust speed in response to surface-water constraint on foraging during the dry-season.

Authors:  Simon Chamaillé-Jammes; Godfrey Mtare; Edwin Makuwe; Hervé Fritz
Journal:  PLoS One       Date:  2013-03-15       Impact factor: 3.240

10.  The climate hazards infrared precipitation with stations--a new environmental record for monitoring extremes.

Authors:  Chris Funk; Pete Peterson; Martin Landsfeld; Diego Pedreros; James Verdin; Shraddhanand Shukla; Gregory Husak; James Rowland; Laura Harrison; Andrew Hoell; Joel Michaelsen
Journal:  Sci Data       Date:  2015-12-08       Impact factor: 6.444

  10 in total

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