Evidence map›Paper›PMID 40030028›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Dynamic and context-dependent keystone species effects in kelp forests.

Ryan E Langendorf, James A Estes, Jane C Watson, Michael C Kenner, Brian B Hatfield, M Tim Tinker, Ellen Waddle, Megan L DeMarche, Daniel F Doak

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Ryan E LangendorfDepartment of Environmental Studies, University of Colorado, Boulder, CO 80309.ORCID 0000-0003-1956-0764
James A EstesUnited States Geological Survey, Western Ecological Research Center, Santa Cruz, CA 95060.
Jane C WatsonBiology Department, Vancouver Island University, Nanaimo, BC V9R 5S5, Canada.ORCID 0000-0002-9281-2887
Michael C KennerUnited States Geological Survey, Western Ecological Research Center, Santa Cruz, CA 95060.ORCID 0000-0003-4659-461X
Brian B HatfieldUnited States Geological Survey, Western Ecological Research Center, Santa Cruz, CA 95060.ORCID 0000-0003-1432-2660
M Tim TinkerUnited States Geological Survey, Western Ecological Research Center, Santa Cruz, CA 95060.ORCID 0000-0002-3314-839X
Ellen WaddleDepartment of Environmental Studies, University of Colorado, Boulder, CO 80309.ORCID 0000-0001-7084-9040
Megan L DeMarcheDepartment of Plant Biology, University of Georgia, Athens, GA 30602.
Daniel F DoakDepartment of Environmental Studies, University of Colorado, Boulder, CO 80309.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sea otters are an iconic keystone predator that can maintain kelp forests by preying on grazing invertebrates such as sea urchins. However, the effects of sea otters on kelp forests vary over their geographic range. Here, we analyze two 30-y datasets on kelp forest communities during the reintroduction of sea otters along the west coast of Vancouver Island, BC, Canada, and around San Nicolas Island, CA. We developed a community model to estimate species interactions as dynamic rates, varying with community state. We find evidence of a classic trophic cascade off Vancouver Island; the arrival of otters quickly led to depletion of urchins and recovery of kelp. However, this cascade was muted around San Nicolas Island, with otters, urchins, and kelp all coexisting at intermediate densities for multiple years. Our models show that this difference came from a pulse of strong otter impacts on urchins following recolonization off Vancouver Island, but not off San Nicolas Island. The mean effects of otters on urchins and urchins on kelp were not stronger in the north, indicating that interaction dynamics and not average interaction strength are key to explaining differences in community trajectories. We also find stronger multistep interaction chains in the south, arising from competitive interactions that indirectly buffered otter effects. These findings shed light on long-standing hypotheses about how interspecific interactions can alter the function of keystone species across community contexts. More broadly, we show how community change can be more accurately predicted by considering dynamic interaction strengths.

Indexed as

ForestsKelpOttersAnimalsBritish ColumbiaEcosystemFood ChainModels, BiologicalPopulation DynamicsPredatory BehaviorSea Urchinscommunity ecologykelp forestkeystone speciessea ottertrophic cascade

Identifiers

PMID40030028
PMCPMC11912371

What OpenQuestion holds

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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.