Evidence map›Paper›PMID 40183865›Full record

ArticleEnvironmental science and pollution research international2025

Planning for a pinniped response during a marine oil spill.

A A Hall, B L Chilvers, J S Weir

Abstract read
In one paragraph

Article in Environmental science and pollution research international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Declining Abundance and Variable Condition of Fur Seal (Animals : an open access journal from MDPI · 2025
    Article
  3. 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

3 authors.

A A HallWildbase, School of Veterinary Science, Massey University, Private Bag 11 222, Palmerston North, 4442, New Zealand. Al.Hall.1@uni.massey.ac.nz.ORCID http://orcid.org/0000-0002-1221-5047
B L ChilversWildbase, School of Veterinary Science, Massey University, Private Bag 11 222, Palmerston North, 4442, New Zealand.ORCID http://orcid.org/0000-0002-7657-4217
J S WeirDepartment of Conservation, 115 Ludstone Rd, Kaikōura, 7300, New Zealand.ORCID http://orcid.org/0000-0002-8062-5021

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the distribution and abundance of wildlife populations is key to successful oil spill response planning. Fur seals are difficult to rehabilitate if oiled, and many common spill response techniques may be limited in the high-energy rocky shore habitats they prefer. Preventing oil from reaching colonies, and hazing or deterring animals away from oil are high-priority response options for pinnipeds during spills. To do this, local knowledge of pinniped distribution and abundance is required, as well as knowledge of effective and safe hazing and deterrence mechanisms. From pup production assessments, we estimated that a population of 13,147-17,675 New Zealand fur seal (NZFS: Arctocephalus forsteri) currently inhabits Banks Peninsula. This area contains the largest port on New Zealand's South Island and a secondary port that is popular with cruise ships, elevating its oil spill risk profile. From the knowledge gained regarding NZFS distribution and abundance, we evaluated mitigation methods which could protect fur seals during oil spills, wherever these species occur, and make suggestions to managers on how to mount an effective pinniped response.

Indexed as

CaniformiaFur SealsPetroleum PollutionAnimalsNew ZealandWater Pollutants, ChemicalWater Pollutants, ChemicalAbundanceArctocephalus forsteriFur sealsHazingOil spill responsePinniped

Identifiers

PMID40183865
PMCPMC12014838

What OpenQuestion holds

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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.