Evidence map›Paper›PMID 32002994›Full record

ArticleEcology2020

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

Jacob H Eisaguirre, Joseph M Eisaguirre, Kathryn Davis, Peter M Carlson, Steven D Gaines, Jennifer E Caselle

Open access · hybridAbstract read
In one paragraph

Article in Ecology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
7.6field-weighted citation impact, top 2% 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

16 citing papers in PubMed, 79 citations in OpenAlex.

  1. Article
  2. Measuring biological effectiveness across a very large, coherent network of coastal marine protected areas.Ecological applications : a publication of the Ecological Society of America · 2025
    Article
  3. Article
  4. Dynamic and context-dependent keystone species effects in kelp forests.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Climate benefits from establishing marine protected areas targeted at blue carbon solutions.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  13. Kelp-forest dynamics controlled by substrate complexity.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  14. Article
  15. Article
  16. Article
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

6 authors at 2 institutions in 1 country.

Jacob H EisaguirreDepartment of Environmental Studies, University of California, Santa Barbara, California, 93106, USA.
Joseph M EisaguirreDepartment of Biology & Wildlife, University of Alaska Fairbanks, Fairbanks, Alaska, 99775, USA.ORCID 0000-0002-0450-8472
Kathryn DavisMarine Science Institute, University of California, Santa Barbara, California, 93106, USA.ORCID 0000-0003-1025-9051
Peter M CarlsonMarine Science Institute, University of California, Santa Barbara, California, 93106, USA.
Steven D GainesBren School of Environmental Science and Management, University of California, Santa Barbara, California, 93106, USA.ORCID 0000-0002-7604-3483
Jennifer E CaselleMarine Science Institute, University of California, Santa Barbara, California, 93106, USA.ORCID 0000-0002-1364-3123
University of California, Santa Barbara · USUniversity of Alaska Fairbanks · US

Funding

California Ocean Protection CouncilCoastal Fund, University of California, Santa BarbaraDavid and Lucile Packard Foundation PISCO
6 · The paper itself

Abstract

Ecosystems are changing at alarming rates because of climate change and a wide variety of other anthropogenic stressors. These stressors have the potential to cause phase shifts to less productive ecosystems. A major challenge for ecologists is to identify ecosystem attributes that enhance resilience and can buffer systems from shifts to less desirable alternative states. In this study, we used the Northern Channel Islands, California, as a model kelp forest ecosystem that had been perturbed from the loss of an important sea star predator due to a sea star wasting disease. To determine the mechanisms that prevent phase shifts from productive kelp forests to less productive urchin barrens, we compared pre- and postdisease predator assemblages as predictors of purple urchin densities. We found that prior to the onset of the disease outbreak, the sunflower sea star exerted strong predation pressures and was able to suppress purple urchin populations effectively. After the disease outbreak, which functionally extirpated the sunflower star, we found that the ecosystem response-urchin and algal abundances-depended on the abundance and/or size of remaining predator species. Inside Marine Protected Areas (MPAs), the large numbers and sizes of other urchin predators suppressed purple urchin populations resulting in kelp and understory algal growth. Outside of the MPAs, where these alternative urchin predators are fished, less abundant, and smaller, urchin populations grew dramatically in the absence of sunflower stars resulting in less kelp at these locations. Our results demonstrate that protected trophic redundancy inside MPAs creates a net of stability that could limit kelp forest ecosystem phase shifts to less desirable, alternative states when perturbed. This highlights the importance of harboring diversity and managing predator guilds.

Indexed as

KelpAnimalsEcosystemFood ChainForestsSea UrchinsCalifornia sheepheadCalifornia spiny lobsterkelp forestlinear mixed effects modelsmanaging for resiliencephase shiftspredator guildssea star wasting diseasesize class structuresunflower sea startrophic redundancyurchin barrens

Identifiers

PMID32002994
PMCPMC7317486
OpenAlexW3003217658

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.