Evidence map›Paper›PMID 42310072›Full record

ArticleNature food2026

Cropland edge management enhances the adaptability of cropland productivity to extremely dry events.

Wanying Liu, Jiakun Duan, Xinru Min, Liang Dong, Xiaoling Zhang

Abstract read
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In one paragraph

Article in Nature food, 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

5 authors.

Wanying Liu *Sustainability X-Lab, Department of Real Estate and Construction, Faculty of Architecture, The University of Hong Kong, Hong Kong, People's Republic of China.ORCID http://orcid.org/0009-0004-1101-4253
Jiakun DuanSustainability X-Lab, Department of Real Estate and Construction, Faculty of Architecture, The University of Hong Kong, Hong Kong, People's Republic of China.
Xinru MinSustainability X-Lab, Department of Real Estate and Construction, Faculty of Architecture, The University of Hong Kong, Hong Kong, People's Republic of China.
Liang DongSchool of Energy and Environment, City University of Hong Kong, Hong Kong, People's Republic of China.ORCID http://orcid.org/0000-0001-9747-5851
Xiaoling Zhang *Sustainability X-Lab, Department of Real Estate and Construction, Faculty of Architecture, The University of Hong Kong, Hong Kong, People's Republic of China. zhangxl@hku.hk.ORCID http://orcid.org/0000-0002-6369-9424

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid urbanization is fragmenting periurban cropland landscapes, increasing anthropogenic disturbance at cropland edges and heightening productivity sensitivity to climate extremes. Yet how micro-scale cropland edge interactions shape productivity adaptation to hydrological extremes remains unclear. By combining high-resolution modelling with a vulnerability-resilience assessment, we found that micro-scale cropland edge interactions are critical mediators amplifying the impacts of climate on productivity. A one-standard-deviation increase in cropland edge ratio increased log-transformed vulnerability to extremely dry events by 0.981 standard deviations, whereas a one-standard-deviation increase in ecological buffer zone ratio enhanced log-transformed resilience by 3.165 standard deviations. Counterfactual simulations identified two adaptation pathways: reducing cropland edge ratio and expanding ecological buffer zones. Across Shared Socioeconomic Pathways and Representative Concentration Pathways (SSP-RCP) scenarios, the Edge-Reduction strategy consistently decreased cropland edge exposure by nearly 36%, while the Buffer-Zone strategy expanded ecological buffer zones around cropland by 12-15% from 2020 to 2060. Our analysis underscores the role of cropland edge ratio in amplifying risks to cropland productivity during extremely dry events and provides a mechanistic framework for adaptive land management.

Indexed as

AgricultureConservation of Natural ResourcesCrops, AgriculturalDroughtsClimate ChangeEcosystemModels, TheoreticalUrbanization

Identifiers

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.