Evidence map›Paper›PMID 35523981›Full record

ArticleOecologia2022

Landscape configuration affects probability of apex predator presence and community structure in experimental metacommunities.

Ellie Wolfe, Edd Hammill, Jane Memmott, Christopher F Clements

Abstract read
In one paragraph

Article in Oecologia, 2022. 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. 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

4 authors.

Ellie WolfeSchool of Biological Sciences, University of Bristol, Bristol, BS8 1TQ, UK. ew16091@bristol.ac.uk.ORCID http://orcid.org/0000-0001-5161-4350
Edd HammillDepartment of Watershed Sciences and the Ecology Center, Utah State University, Old Main Hill, Logan, UT, USA.
Jane MemmottSchool of Biological Sciences, University of Bristol, Bristol, BS8 1TQ, UK.
Christopher F ClementsSchool of Biological Sciences, University of Bristol, Bristol, BS8 1TQ, UK.

Funding

National Science Foundation 1916610Natural Environment Research Council NE/T003502/1Natural Environment Research Council NE/T006579/1
6 · The paper itself

Abstract

Biodiversity is declining at an unprecedented rate, highlighting the urgent requirement for well-designed protected areas. Design tactics previously proposed to promote biodiversity include enhancing the number, connectivity, and heterogeneity of reserve patches. However, how the importance of these features changes depending on what the conservation objective is remains poorly understood. Here we use experimental landscapes containing ciliate protozoa to investigate how the number and heterogeneity in size of habitat patches, rates of dispersal between neighbouring patches, and mortality risk of dispersal across the non-habitat 'matrix' interact to affect a number of diversity measures. We show that increasing the number of patches significantly increases γ diversity and reduces the overall number of extinctions, whilst landscapes with heterogeneous patch sizes have significantly higher γ diversity than those with homogeneous patch sizes. Furthermore, the responses of predators depended on their feeding specialism, with generalist predator presence being highest in a single large patch, whilst specialist predator presence was highest in several-small patches with matrix dispersal. Our evidence emphasises the importance of considering multiple diversity measures to disentangle community responses to patch configuration.

Indexed as

CiliophoraEcosystemBiodiversityProbabilityDispersalDiversityHeterogeneityProtected areaSLOSS

Identifiers

PMID35523981
PMCPMC9120115

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.