Evidence map›Paper›PMID 42860417›Full record

ArticleNature communications2026

Global lake tipping vulnerability under sustained agricultural exposure.

Jacob Serpico, Hao Wang

Abstract read
In one paragraph

Article in Nature communications, 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

2 authors.

Jacob SerpicoInterdisciplinary Lab for Mathematical Ecology and Epidemiology & Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, AB, Canada.ORCID http://orcid.org/0009-0009-4744-6759
Hao WangInterdisciplinary Lab for Mathematical Ecology and Epidemiology & Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, AB, Canada. hao8@ualberta.ca.ORCID http://orcid.org/0000-0002-4132-6109

Funding

Alberta Conservation Association (ACA) ACA CP 2400 WangCanada Research Chairs (Chaires de recherche du Canada) Tier 1 Canada Research Chair AwardGouvernement du Canada | Natural Sciences and Engineering Research Council of Canada (Conseil de Recherches en Sciences Naturelles et en Génie du Canada) Individual Discovery Grant RGPIN-2025-05734
6 · The paper itself

Abstract

Intensive agriculture drives lake eutrophication, degrading water quality and biodiversity through harmful algal blooms, hypoxia, and costly regime shifts. It remains unclear whether agriculture triggers sudden change through expansion or instead accumulates vulnerability under long-standing land cover. Here we combine trophic state and nearshore land cover for 859 lakes worldwide to detect 125 abrupt, persistent tipping events from 2003 to 2022. We then use interpretable models to separate chronic agricultural exposure from rapid expansion, and compare simple driver-based forecasts with classical early warning signals. Near-term tipping risk is dominated by a lake's baseline trophic state and its long-term surrounding cropland; small increases above that baseline raise the 12-month tipping risk by 16%, whereas early warning signals add little predictive power. These findings show that sustained agricultural pressure narrows the safe operating space for freshwater ecosystems and provide a versatile framework for managing other vulnerable social-ecological systems.

Indexed as

AgricultureLakesBiodiversityEcosystemEutrophicationWater Quality

Identifiers

PMID42860417
PMCPMC13654939

What OpenQuestion holds

Textmetadata
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.