Evidence map›Paper›PMID 41650260›Full record

SynthesisScience advances2026

Can we bend the curve: Trends in global biodiversity scenarios.

Flavia Aschi, Stefan C Dekker, David Leclère, Alexandra Marques, Christian Neumann, Geanderson Ambrosio, Detlef P van Vuuren

Abstract readMeta-Analysis
In one paragraph

Synthesis in Science advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Flavia AschiCopernicus Institute of Sustainable Development, Utrecht University, Utrecht, Netherlands.ORCID 0000-0002-6613-3485
Stefan C DekkerCopernicus Institute of Sustainable Development, Utrecht University, Utrecht, Netherlands.ORCID 0000-0001-7764-2464
David LeclèreBiodiversity and Natural Resources (BNR) Program, International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria.ORCID 0000-0002-8658-1509
Alexandra MarquesNetherlands Environmental Assessment Agency (PBL), The Hague, Netherlands.ORCID 0000-0001-6669-1201
Christian NeumannDepartment Computational Landscape Ecology, Helmholtz-Centre for Environmental Research (UFZ), Leipzig, Germany.ORCID 0000-0002-5500-2746
Geanderson AmbrosioCopernicus Institute of Sustainable Development, Utrecht University, Utrecht, Netherlands.ORCID 0000-0001-6285-2282
Detlef P van VuurenCopernicus Institute of Sustainable Development, Utrecht University, Utrecht, Netherlands.ORCID 0000-0003-0398-2831

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Internationally, it has been agreed to halt and reverse biodiversity loss, a commitment partly underpinned by model-based scenario analyses showing that bending the trend is possible. These scenarios provide insights into alternative future biodiversity trends and their drivers. Our meta-analysis differentiates scenarios that project biodiversity loss and that halt or reverse the trend based on their quantitative outcomes and explores their key characteristics such as scenario assumptions, drivers of loss, biodiversity indicators and models used. We found that bending-the-curve studies are scarce, and mostly do no account for climate change, which risks suggesting that the trend can be bent too easily. Our findings indicate that bending is only achievable with integrated efforts across different sectors, such as nature conservation, sustainable food production, diet change, and reduced food waste. To better support policymaking, scenarios should be based on model intercomparisons and use standardize indicators to allow comparisons across studies, account for additional drivers of loss to represent the real threats to biodiversity, and include more ambitious cross-sectoral actions to effectively bend the curve.

Indexed as

BiodiversityConservation of Natural ResourcesClimate ChangeModels, Theoretical

Identifiers

PMID41650260
PMCPMC12880551

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.