Literature DB >> 35907124

Conspecific cues, not starvation, mediate barren urchin response to predation risk.

Christopher J Knight1,2, Robert P Dunn3,4,5, Jeremy D Long3.   

Abstract

Prey state and prey density mediate antipredator responses that can shift community structure and alter ecosystem processes. For example, well-nourished prey at low densities (i.e., prey with higher per capita predation risk) should respond strongly to predators. Although prey state and density often co-vary across habitats, it is unclear if prey responses to predator cues are habitat-specific. We used mesocosms to compare the habitat-specific responses of purple sea urchins (Strongylocentrotus purpuratus) to waterborne cues from predatory lobsters (Panulirus interruptus). We predicted that urchins from kelp forests (i.e., in well-nourished condition) tested at low densities typically observed in this habitat would respond more strongly to predation risk than barren urchins (i.e., in less nourished condition) tested at high densities typically observed in this habitat. Indeed, when tested at densities associated with respective habitats, urchins from forests, but not barrens, reduced kelp grazing by 69% when exposed to lobster risk cues. Barren urchins that were unresponsive to predator cues at natural, high densities suddenly responded strongly to lobster cues when conspecific densities were reduced. Strong responses of low densities of barren urchins persisted across feeding history (i.e. 0-64 days of starvation). This suggests that barren urchins can respond to predators but typically do not because of high conspecific densities. Because high densities of urchins in barrens should weaken the non-consumptive effects of lobsters, urchins in these habitats may continue to graze in the presence of predators thereby providing a feedback that maintains urchin barrens.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Alternative stable state; Habitat-specific prey response; Predator release; Rocky reefs

Mesh:

Year:  2022        PMID: 35907124     DOI: 10.1007/s00442-022-05225-5

Source DB:  PubMed          Journal:  Oecologia        ISSN: 0029-8549            Impact factor:   3.298


  19 in total

1.  Resource-mediated impact of spider predation risk on performance in the grasshopper Ageneotettix deorum (Orthoptera: Acrididae).

Authors:  Bradford J Danner; Anthony Joern
Journal:  Oecologia       Date:  2003-08-20       Impact factor: 3.225

2.  Exploitation and recovery of a sea urchin predator has implications for the resilience of southern California kelp forests.

Authors:  Scott L Hamilton; Jennifer E Caselle
Journal:  Proc Biol Sci       Date:  2015-01-22       Impact factor: 5.349

3.  Global patterns of kelp forest change over the past half-century.

Authors:  Kira A Krumhansl; Daniel K Okamoto; Andrew Rassweiler; Mark Novak; John J Bolton; Kyle C Cavanaugh; Sean D Connell; Craig R Johnson; Brenda Konar; Scott D Ling; Fiorenza Micheli; Kjell M Norderhaug; Alejandro Pérez-Matus; Isabel Sousa-Pinto; Daniel C Reed; Anne K Salomon; Nick T Shears; Thomas Wernberg; Robert J Anderson; Nevell S Barrett; Alejandro H Buschmann; Mark H Carr; Jennifer E Caselle; Sandrine Derrien-Courtel; Graham J Edgar; Matt Edwards; James A Estes; Claire Goodwin; Michael C Kenner; David J Kushner; Frithjof E Moy; Julia Nunn; Robert S Steneck; Julio Vásquez; Jane Watson; Jon D Witman; Jarrett E K Byrnes
Journal:  Proc Natl Acad Sci U S A       Date:  2016-11-14       Impact factor: 11.205

4.  Nonconsumptive effects of a predator weaken then rebound over time.

Authors:  David L Kimbro; Jonathan H Grabowski; A Randall Hughes; Michael F Piehler; J Wilson White
Journal:  Ecology       Date:  2017-02-10       Impact factor: 5.499

5.  Landscape of fear influences the relative importance of consumptive and nonconsumptive predator effects.

Authors:  Catherine M Matassa; Geoffrey C Trussell
Journal:  Ecology       Date:  2011-12       Impact factor: 5.499

6.  Experiments reveal limited top-down control of key herbivores in southern California kelp forests.

Authors:  Robert P Dunn; Kevin A Hovel
Journal:  Ecology       Date:  2019-03       Impact factor: 5.499

7.  State-dependent risk-taking by green sea turtles mediates top-down effects of tiger shark intimidation in a marine ecosystem.

Authors:  Michael R Heithaus; Alejandro Frid; Aaron J Wirsing; Lawrence M Dill; James W Fourqurean; Derek Burkholder; Jordan Thomson; Lars Bejder
Journal:  J Anim Ecol       Date:  2007-09       Impact factor: 5.091

8.  Density-dependent feedbacks, hysteresis, and demography of overgrazing sea urchins.

Authors:  S D Ling; N Kriegisch; B Woolley; S E Reeves
Journal:  Ecology       Date:  2019-02       Impact factor: 5.499

9.  A genomic view of the sea urchin nervous system.

Authors:  R D Burke; L M Angerer; M R Elphick; G W Humphrey; S Yaguchi; T Kiyama; S Liang; X Mu; C Agca; W H Klein; B P Brandhorst; M Rowe; K Wilson; A M Churcher; J S Taylor; N Chen; G Murray; D Wang; D Mellott; R Olinski; F Hallböök; M C Thorndyke
Journal:  Dev Biol       Date:  2006-08-10       Impact factor: 3.582

10.  Trophic redundancy and predator size class structure drive differences in kelp forest ecosystem dynamics.

Authors:  Jacob H Eisaguirre; Joseph M Eisaguirre; Kathryn Davis; Peter M Carlson; Steven D Gaines; Jennifer E Caselle
Journal:  Ecology       Date:  2020-02-28       Impact factor: 5.499

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