Evidence map›Paper›PMID 29101467›Full record

ArticleOecologia2018

Scale-specific drivers of kelp forest communities.

Thomas Lamy, Daniel C Reed, Andrew Rassweiler, David A Siegel, Li Kui, Tom W Bell, Rachel D Simons, Robert J Miller

Abstract read
PubMed Publisher
In one paragraph

Article in Oecologia, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.6field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 37 citations in OpenAlex.

  1. Open-Coast Eelgrass (Estuaries and coasts : journal of the Estuarine Research Federation · 2026
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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

8 authors at 2 institutions in 1 country.

Thomas LamyMarine Science Institute, University of California, Santa Barbara, CA, 93106, USA. thomas.lamy27@gmail.com.ORCID 0000-0002-7881-0578
Daniel C ReedMarine Science Institute, University of California, Santa Barbara, CA, 93106, USA.
Andrew RassweilerMarine Science Institute, University of California, Santa Barbara, CA, 93106, USA.
David A SiegelMarine Science Institute, University of California, Santa Barbara, CA, 93106, USA.
Li KuiMarine Science Institute, University of California, Santa Barbara, CA, 93106, USA.
Tom W BellEarth Research Institute, University of California, CA, 93106, Santa Barbara, USA.
Rachel D SimonsEarth Research Institute, University of California, CA, 93106, Santa Barbara, USA.
Robert J MillerMarine Science Institute, University of California, Santa Barbara, CA, 93106, USA.
University of California, Santa Barbara · USFlorida State University · US

Funding

Bureau of Ocean and Energy Management Ecosystem Studies program MC15AC00006NASA NNX14AR62A
6 · The paper itself

Abstract

Identifying spatial scales of variation in natural communities and the processes driving them is critical for obtaining a predictive understanding of biodiversity. In this study, we focused on diverse communities inhabiting productive kelp forests on shallow subtidal rocky reefs in southern California, USA. We combined long-term community surveys from 86 sites with detailed environmental data to determine what structures assemblages of fishes, invertebrates and algae at multiple spatial scales. We identified the spatial scales of variation in species composition using a hierarchical analysis based on eigenfunctions, and assessed how sea surface temperature (SST), water column chlorophyll, giant kelp biomass, wave exposure and potential propagule delivery strength contributed to community variation at each scale. Spatial effects occurring at multiple scales explained 60% of the variation in fish assemblages and 52% of the variation in the assemblages of invertebrates and algae. Most variation occurred over broad spatial scales (> 200 km) consistent with spatial heterogeneity in SST and potential propagule delivery strength, while the latter also explained community variation at medium scales (65-200 km). Small scale (1-65 km) community variation was substantial but not linked to any of the measured drivers. Conclusions were consistent for both reef fishes and benthic invertebrates and algae, despite sharp differences in their adult mobility. Our results demonstrate the scale dependence of environmental drivers on kelp forest communities, showing that most species were strongly sorted along oceanographic conditions over various spatial scales. Such spatial effects must be integrated into models assessing the response of marine ecosystems to climate change.

Indexed as

KelpAnimalsBiodiversityCaliforniaEcosystemForestsConnectivityKelp forestsMulti-scale patternsScale dependenceSpatial ecology

Identifiers

PMID29101467
OpenAlexW2767118902

What OpenQuestion holds

Textmetadata
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.