Evidence map›Paper›PMID 26020011›Full record

ArticlePeerJ2015

Impacts of sea level rise and climate change on coastal plant species in the central California coast.

Kendra L Garner, Michelle Y Chang, Matthew T Fulda, Jonathan A Berlin, Rachel E Freed, Melissa M Soo-Hoo, Dave L Revell, Makihiko Ikegami, Lorraine E Flint, Alan L Flint and 1 more

Abstract read
In one paragraph

Article in PeerJ, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. 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

11 authors.

Kendra L GarnerBren School of Environmental Science & Management, University of California, Santa Barbara , USA.
Michelle Y ChangBren School of Environmental Science & Management, University of California, Santa Barbara , USA.
Matthew T FuldaBren School of Environmental Science & Management, University of California, Santa Barbara , USA.
Jonathan A BerlinBren School of Environmental Science & Management, University of California, Santa Barbara , USA.
Rachel E FreedBren School of Environmental Science & Management, University of California, Santa Barbara , USA.
Melissa M Soo-HooBren School of Environmental Science & Management, University of California, Santa Barbara , USA.
Dave L RevellRevell Coastal, LLC , Santa Cruz, CA , USA.
Makihiko IkegamiBren School of Environmental Science & Management, University of California, Santa Barbara , USA.
Lorraine E FlintU.S. Geological Survey California Water Science Center , Sacramento, CA , USA.
Alan L FlintU.S. Geological Survey California Water Science Center , Sacramento, CA , USA.
Bruce E KendallBren School of Environmental Science & Management, University of California, Santa Barbara , USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Local increases in sea level caused by global climate change pose a significant threat to the persistence of many coastal plant species through exacerbating inundation, flooding, and erosion. In addition to sea level rise (SLR), climate changes in the form of air temperature and precipitation regimes will also alter habitats of coastal plant species. Although numerous studies have analyzed the effect of climate change on future habitats through species distribution models (SDMs), none have incorporated the threat of exposure to SLR. We developed a model that quantified the effect of both SLR and climate change on habitat for 88 rare coastal plant species in San Luis Obispo, Santa Barbara, and Ventura Counties, California, USA (an area of 23,948 km(2)). Our SLR model projects that by the year 2100, 60 of the 88 species will be threatened by SLR. We found that the probability of being threatened by SLR strongly correlates with a species' area, elevation, and distance from the coast, and that 10 species could lose their entire current habitat in the study region. We modeled the habitat suitability of these 10 species under future climate using a species distribution model (SDM). Our SDM projects that 4 of the 10 species will lose all suitable current habitats in the region as a result of climate change. While SLR accounts for up to 9.2 km(2) loss in habitat, climate change accounts for habitat suitability changes ranging from a loss of 1,439 km(2) for one species to a gain of 9,795 km(2) for another species. For three species, SLR is projected to reduce future suitable area by as much as 28% of total area. This suggests that while SLR poses a higher risk, climate changes in precipitation and air temperature represents a lesser known but potentially larger risk and a small cumulative effect from both.

Indexed as

CoastalErosionFloodingHabitatInundationPlantsSea level rise

Identifiers

PMID26020011
PMCPMC4435450

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.