Evidence map›Paper›PMID 41880337›Full record

ArticlePloS one2026

A standardised protocol for measuring farmland biodiversity outcomes across European Farmer Cluster landscapes.

Rachel N Nichols, Graham S Begg, Lisette Cantú-Salazar, John M Holland, Youri Martin, John Tzilivakis, Sarah Vray, Douglas J Warner, Alon Zuta, Niamh M McHugh

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Rachel N NicholsFarmland Ecology Unit, Game and Wildlife Conservation Trust, Fordingbridge, Hampshire, United Kingdom.ORCID https://orcid.org/0000-0002-0149-1820
Graham S BeggEcological Sciences Department, The James Hutton Institute, Invergowrie, Dundee, United Kingdom.
Lisette Cantú-SalazarBiodiversity Monitoring and Assessment group, Environmental Sensing and Modelling unit, Luxembourg Institute of Science and Technology, Belvaux, Luxembourg.ORCID https://orcid.org/0000-0002-2818-9322
John M HollandFarmland Ecology Unit, Game and Wildlife Conservation Trust, Fordingbridge, Hampshire, United Kingdom.
Youri MartinBiodiversity Monitoring and Assessment group, Environmental Sensing and Modelling unit, Luxembourg Institute of Science and Technology, Belvaux, Luxembourg.
John TzilivakisAgriculture and Environment Research Unit (AERU), School of Health, Medicine and Life Sciences, University of Hertfordshire, Hatfield, Hertfordshire, United Kingdom.ORCID https://orcid.org/0000-0003-4511-6712
Sarah VrayBiodiversity Monitoring and Assessment group, Environmental Sensing and Modelling unit, Luxembourg Institute of Science and Technology, Belvaux, Luxembourg.
Douglas J WarnerAgriculture and Environment Research Unit (AERU), School of Health, Medicine and Life Sciences, University of Hertfordshire, Hatfield, Hertfordshire, United Kingdom.
Alon ZutaEcological Sciences Department, The James Hutton Institute, Invergowrie, Dundee, United Kingdom.
Niamh M McHughFarmland Ecology Unit, Game and Wildlife Conservation Trust, Fordingbridge, Hampshire, United Kingdom.ORCID https://orcid.org/0000-0001-6659-7266

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Farmland biodiversity has declined, with agricultural intensification cited as a major contributing factor. Therefore, monitoring farmland biodiversity in a consistent manner is a crucial aspect of determining if conservation efforts are aiding in its recovery. "Farmer Clusters" comprise groups of neighbouring farmers who have identified and instigated their own biodiversity targets as a collective. These provide an opportunity to assess the impact of collaborative conservation efforts on farmland biodiversity at the landscape-scale. Through the FRAMEwork project (Farmer clusters for Realising Agrobiodiversity Management across Ecosystem), an EU Horizon 2020 project, eleven Farmer Clusters were established across Europe, and their biodiversity monitored in a Before-After-Control-Impact (BACI) experiment. The aim of this paper is to describe and critically evaluate the methods applied to monitor biodiversity across these landscapes. Once relevant landscape-scale biodiversity indicators were identified, the protocol was assembled. Guidance to select appropriate survey squares and transects in different farming systems and European landscapes that are representative of the different farmland habitats are provided. The monitoring protocol also describes how to conduct biodiversity surveys of birds, pollinators (bumblebees, butterflies, solitary bees, and hoverflies), and vegetation within these survey squares. The methods comprise of a combination of well-documented procedures, presented as a single, standardised protocol that can be replicated in different farming systems and landscapes throughout Europe. Anticipated results are also presented, demonstrating how the methods might contribute towards the BACI analysis, as well as multi-taxa, community-level biodiversity analysis. Finally, an evaluation of the biodiversity indicators and survey methods used is also given. Through FRAMEwork, these methods will be used to assess the effectiveness of Farmer Clusters at improving landscape-scale biodiversity.

Indexed as

AgricultureBiodiversityConservation of Natural ResourcesFarmersFarmsAnimalsBirdsEcosystemEurope

Identifiers

PMID41880337
PMCPMC13016360

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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.