Literature DB >> 27349088

Resource waves: phenological diversity enhances foraging opportunities for mobile consumers.

Jonathan B Armstrong, Gaku Takimoto, Daniel E Schindler, Matthew M Hayes, Matthew J Kauffman.   

Abstract

Time can be a limiting constraint for consumers, particularly when resource phenology mediates foraging opportunity. Though a large body of research has explored how resource phenology influences trophic interactions, this work has focused on the topics of trophic mismatch or predator swamping, which typically occur over short periods, at small spatial extents or coarse resolutions. In contrast many consumers integrate across landscape heterogeneity in resource phenology, moving to track ephemeral food sources that propagate across space as resource waves. Here we provide a conceptual framework to advance the study of phenological diversity and resource waves. We define resource waves, review evidence of their importance in recent case studies, and demonstrate their broader ecological significance with a simulation model. We found that consumers ranging from fig wasps (Chalcidoidea) to grizzly bears (Ursus arctos) exploit resource waves, integrating across phenological diversity to make resource aggregates available for much longer than their component parts. In model simulations, phenological diversity was often more important to consumer energy gain than resource abundance per se. Current ecosystem-based management assumes that species abundance mediates the strength of trophic interactions. Our results challenge this assumption and highlight new opportunities for conservation and management. Resource waves are an emergent property of consumer-resource interactions and are broadly significant in ecology and conservation.

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Year:  2016        PMID: 27349088     DOI: 10.1890/15-0554.1

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


  21 in total

1.  Linkage between species traits and plant phenology in an alpine meadow.

Authors:  Yinzhan Liu; Guoyong Li; Xinwei Wu; Karl J Niklas; Zhongling Yang; Shucun Sun
Journal:  Oecologia       Date:  2021-01-10       Impact factor: 3.225

2.  Spatial heterogeneity contributes more to portfolio effects than species variability in bottom-associated marine fishes.

Authors:  James T Thorson; Mark D Scheuerell; Julian D Olden; Daniel E Schindler
Journal:  Proc Biol Sci       Date:  2018-10-03       Impact factor: 5.349

Review 3.  Chronobiology of interspecific interactions in a changing world.

Authors:  Noga Kronfeld-Schor; Marcel E Visser; Lucia Salis; Jan A van Gils
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-11-19       Impact factor: 6.237

4.  Phenological synchronization disrupts trophic interactions between Kodiak brown bears and salmon.

Authors:  William W Deacy; Jonathan B Armstrong; William B Leacock; Charles T Robbins; David D Gustine; Eric J Ward; Joy A Erlenbach; Jack A Stanford
Journal:  Proc Natl Acad Sci U S A       Date:  2017-08-21       Impact factor: 11.205

5.  Synchronous timing of food resources triggers bears to switch from salmon to berries.

Authors:  Stephanie M Carlson
Journal:  Proc Natl Acad Sci U S A       Date:  2017-09-18       Impact factor: 11.205

6.  Environmental variability, reliability of information and the timing of migration.

Authors:  Silke Bauer; John M McNamara; Zoltan Barta
Journal:  Proc Biol Sci       Date:  2020-05-06       Impact factor: 5.349

7.  Testing the potential of streamflow data to predict spring migration of ungulate herds.

Authors:  Jason S Alexander; Marissa L Murr; Cheryl A Eddy-Miller
Journal:  PLoS One       Date:  2022-01-21       Impact factor: 3.240

8.  Nutrient addition shifts plant community composition towards earlier flowering species in some prairie ecoregions in the U.S. Central Plains.

Authors:  Lori Biederman; Brent Mortensen; Philip Fay; Nicole Hagenah; Johannes Knops; Kimberly La Pierre; Ramesh Laungani; Eric Lind; Rebecca McCulley; Sally Power; Eric Seabloom; Pedro Tognetti
Journal:  PLoS One       Date:  2017-05-26       Impact factor: 3.240

9.  Phenological tracking associated with increased salmon consumption by brown bears.

Authors:  William W Deacy; Joy A Erlenbach; William B Leacock; Jack A Stanford; Charles T Robbins; Jonathan B Armstrong
Journal:  Sci Rep       Date:  2018-07-20       Impact factor: 4.379

10.  An escape theory model for directionally moving prey and an experimental test in juvenile Chinook salmon.

Authors:  Megan C Sabal; Joseph E Merz; Suzanne H Alonzo; Eric P Palkovacs
Journal:  J Anim Ecol       Date:  2020-04-28       Impact factor: 5.091

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