Literature DB >> 27912000

Green wave tracking by large herbivores: an experimental approach.

Inger Maren Rivrud1, Marco Heurich2,3, Philipp Krupczynski2, Jörg Müller2,4, Atle Mysterud1.   

Abstract

The forage maturation hypothesis (FMH) states that herbivores should follow the onset of growth in spring to obtain access to forage of higher quality and quantity, the so-called "green wave surfing." Several studies have found correlative evidence in support of this by associating animal movement with plant phenology. However, experimental manipulation of vast natural systems determining causes of large herbivore movement is usually beyond reach. The unique management system involving winter enclosures for wild red deer (Cervus elaphus) in Germany facilitated an opportunity for an experimental approach. We manipulated release dates of red deer into free-ranging conditions in spring, predicting increased overall access to high quality forage if released early (1 April), and more rapid initial movement speed towards higher elevation if released late (15 May). The latter had lower access to high quality forage than individuals released early, as they missed parts of the green wave. In strong support of the FMH, individuals released late moved at faster initial speed than early released individuals which tracked the green wave more closely, both settling when reaching similar elevations. This shows that red deer were flexible in their movements, and they can adapt to new patterns of phenology by phenotypic plasticity.
© 2016 by the Ecological Society of America.

Entities:  

Keywords:  animal movement; global positioning system tracking; migration; normalized difference vegetation index; wildlife experiment

Mesh:

Year:  2016        PMID: 27912000     DOI: 10.1002/ecy.1596

Source DB:  PubMed          Journal:  Ecology        ISSN: 0012-9658            Impact factor:   5.499


  8 in total

1.  Green-up selection by red deer in heterogeneous, human-dominated landscapes of Central Europe.

Authors:  Benjamin Sigrist; Claudio Signer; Sascha D Wellig; Arpat Ozgul; Flurin Filli; Hannes Jenny; Dominik Thiel; Sven Wirthner; Roland F Graf
Journal:  Ecol Evol       Date:  2022-07-04       Impact factor: 3.167

2.  Diversity of plant assemblages dampens the variability of the growing season phenology in wetland landscapes.

Authors:  Guillaume Rheault; Esther Lévesque; Raphaël Proulx
Journal:  BMC Ecol Evol       Date:  2021-05-19

3.  Seasonal and year-round use of the Kushiro Wetland, Hokkaido, Japan by sika deer (Cervus nippon yesoensis).

Authors:  Hino Takafumi; Tatsuya Kamii; Takunari Murai; Ryoto Yoshida; Atsuki Sato; Yasuyuki Tachiki; Rika Akamatsu; Tsuyoshi Yoshida
Journal:  PeerJ       Date:  2017-10-12       Impact factor: 2.984

Review 4.  Recent advances in plant-herbivore interactions.

Authors:  Deron E Burkepile; John D Parker
Journal:  F1000Res       Date:  2017-02-08

5.  Sex-specific differences in spring and autumn migration in a northern large herbivore.

Authors:  Lucie Debeffe; Inger Maren Rivrud; Erling L Meisingset; Atle Mysterud
Journal:  Sci Rep       Date:  2019-04-16       Impact factor: 4.379

6.  Stochastic simulations reveal few green wave surfing populations among spring migrating herbivorous waterfowl.

Authors:  Xin Wang; Lei Cao; Anthony D Fox; Richard Fuller; Larry Griffin; Carl Mitchell; Yunlin Zhao; Oun-Kyong Moon; David Cabot; Zhenggang Xu; Nyambayar Batbayar; Andrea Kölzsch; Henk P van der Jeugd; Jesper Madsen; Liding Chen; Ran Nathan
Journal:  Nat Commun       Date:  2019-05-16       Impact factor: 14.919

Review 7.  Population and evolutionary dynamics in spatially structured seasonally varying environments.

Authors:  Jane M Reid; Justin M J Travis; Francis Daunt; Sarah J Burthe; Sarah Wanless; Calvin Dytham
Journal:  Biol Rev Camb Philos Soc       Date:  2018-03-25

8.  Migrating bison engineer the green wave.

Authors:  Chris Geremia; Jerod A Merkle; Daniel R Eacker; Rick L Wallen; P J White; Mark Hebblewhite; Matthew J Kauffman
Journal:  Proc Natl Acad Sci U S A       Date:  2019-11-21       Impact factor: 11.205

  8 in total

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