Evidence map›Paper›PMID 35112356›Full record

ReviewEcology2022

The long and the short of it: Mechanisms of synchronous and compensatory dynamics across temporal scales.

Lauren G Shoemaker, Lauren M Hallett, Lei Zhao, Daniel C Reuman, Shaopeng Wang, Kathryn L Cottingham, Richard J Hobbs, Max C N Castorani, Amy L Downing, Joan C Dudney and 8 more

Open access · hybridAbstract readReview
In one paragraph

Review in Ecology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
18.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Seasonality, density dependence, and spatial population synchrony.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  8. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 16 institutions in 3 countries.

Lauren G ShoemakerBotany Department, University of Wyoming, Laramie, Wyoming, USA.ORCID 0000-0002-4465-8432
Lauren M HallettEnvironmental Studies Program and Department of Biology, University of Oregon, Eugene, Oregon, USA.ORCID 0000-0002-0718-0257
Lei ZhaoBeijing Key Laboratory of Biodiversity and Organic Farming, College of Resources and Environmental Sciences, China Agricultural University, Beijing, China.ORCID 0000-0003-1643-4981
Daniel C ReumanDepartment of Ecology and Evolutionary Biology and Kansas Biological Survey, University of Kansas, Lawrence, Kansas, USA.ORCID 0000-0002-1407-8947
Shaopeng WangDepartment of Ecology, College of Urban and Environmental Science, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, China.ORCID 0000-0002-9430-8879
Kathryn L CottinghamDepartment of Biological Sciences, Dartmouth College, Hanover, New Hampshire, USA.ORCID 0000-0003-3169-5047
Richard J HobbsSchool of Biological Sciences, The University of Western Australia, Crawley, Western Australia, Australia.
Max C N CastoraniDepartment of Environmental Sciences, University of Virginia, Charlottesville, Virginia, USA.ORCID 0000-0002-7372-9359
Amy L DowningDepartment of Biology, Ohio Wesleyan University, Delaware, Ohio, USA.ORCID 0000-0002-6699-4664
Joan C DudneyDepartment of Plant Sciences, UC Davis, Davis, California, USA.ORCID 0000-0003-3986-065X
Samuel B FeyDepartment of Biology, Reed College, Portland, Oregon, USA.ORCID 0000-0002-7471-3308
Laureano A GherardiDepartment of Environmental Science, Policy and Management, University of California, Berkeley, California, USA.
Nina LanyDepartment of Forestry, Michigan State University, East Lansing, Michigan, USA.
Cristina Portales-ReyesDepartment of Ecology, Evolution, and Behavior, University of Minnesota, Saint Paul, Minnesota, USA.ORCID 0000-0002-0162-4785
Andrew L RypelDepartment of Fish, Wildlife & Conservation Biology, and Center for Watershed Sciences, University of California, Davis, Davis, California, USA.ORCID 0000-0002-9812-8306
Lawrence W SheppardDepartment of Ecology and Evolutionary Biology and Kansas Biological Survey, University of Kansas, Lawrence, Kansas, USA.
Jonathan A WalterDepartment of Environmental Sciences, University of Virginia, Charlottesville, Virginia, USA.ORCID 0000-0003-2983-751X
Katharine N SudingInstitute of Arctic and Alpine Research, University of Colorado Boulder, Boulder, Colorado, USA.ORCID 0000-0002-5357-0176
University of California, Davis · USUniversity of Kansas · USChina Agricultural University · CNDartmouth College · USInstitute of Arctic and Alpine Research · USMichigan State University · USMinistry of Education of the People's Republic of China · CNOhio Wesleyan University · USReed College · USRonin Institute · USThe University of Western Australia · AUUniversity of California, Berkeley · USUniversity of Minnesota · USUniversity of Oregon · USUniversity of Virginia · USUniversity of Wyoming · US

Funding

INDUCTION OF ACUTE PHASE PROTEIN BIOSYNTHESISR01AG002467 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI SAMOLS, DAVID · 1985 to 2004
$1.5M
6 · The paper itself

Abstract

Synchronous dynamics (fluctuations that occur in unison) are universal phenomena with widespread implications for ecological stability. Synchronous dynamics can amplify the destabilizing effect of environmental variability on ecosystem functions such as productivity, whereas the inverse, compensatory dynamics, can stabilize function. Here we combine simulation and empirical analyses to elucidate mechanisms that underlie patterns of synchronous versus compensatory dynamics. In both simulated and empirical communities, we show that synchronous and compensatory dynamics are not mutually exclusive but instead can vary by timescale. Our simulations identify multiple mechanisms that can generate timescale-specific patterns, including different environmental drivers, diverse life histories, dispersal, and non-stationary dynamics. We find that traditional metrics for quantifying synchronous dynamics are often biased toward long-term drivers and may miss the importance of short-term drivers. Our findings indicate key mechanisms to consider when assessing synchronous versus compensatory dynamics and our approach provides a pathway for disentangling these dynamics in natural systems.

Indexed as

EcosystemPopulation Dynamicscommunity dynamicscompensatory dynamicsdisturbanceenvironmental fluctuationslife historymetacommunitystabilityvariance ratio

Identifiers

PMID35112356
PMCPMC9285558
OpenAlexW4210356066

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.