Evidence map›Paper›PMID 36134709›Full record

ArticleEcology letters2022

Disentangling direct and indirect drivers of farmland biodiversity at landscape scale.

Eliane Seraina Meier, Gisela Lüscher, Eva Knop

Abstract readLetter
In one paragraph

Article in Ecology letters, 2022. 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
–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

7 citing papers in PubMed.

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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

3 authors.

Eliane Seraina MeierResearch Division Agroecology and Environment, Agroscope, Zürich, Switzerland.ORCID https://orcid.org/0000-0002-9545-1167
Gisela LüscherResearch Division Agroecology and Environment, Agroscope, Zürich, Switzerland.ORCID https://orcid.org/0000-0001-8515-7880
Eva KnopResearch Division Agroecology and Environment, Agroscope, Zürich, Switzerland.ORCID https://orcid.org/0000-0001-9402-2216

Funding

Federal Office for Agriculture (FOAG)Federal Office for the Environment (FOEN)
6 · The paper itself

Abstract

To stop the ongoing decline of farmland biodiversity there are increasing claims for a paradigm shift in agriculture, namely from conserving and restoring farmland biodiversity at field scale (α-diversity) to doing it at landscape scale (γ-diversity). However, knowledge on factors driving farmland γ-diversity is currently limited. Here, we quantified farmland γ-diversity in 123 landscapes and analysed direct and indirect effects of abiotic and land-use factors shaping it using structural equation models. The direction and strength of effects of factors shaping γ-diversity were only partially consistent with what is known about factors shaping α-diversity, and indirect effects were often stronger than direct effects or even opposite. Thus, relationships between factors shaping α-diversity cannot simply be up-scaled to γ-diversity, and also indirect effects should no longer be neglected. Finally, we show that local mitigation measures benefit farmland γ-diversity at landscape scale and are therefore a useful tool for designing biodiversity-friendly landscapes.

Indexed as

BiodiversityEcosystemAgricultureFarmsabiotic conditionsagricultural intensificationbiodiversityecological focus areafarmland γ-diversitylandscape compositionlandscape configurationlandscape designmulti-trophic species richness

Identifiers

PMID36134709
PMCPMC9826358

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.