Evidence map›Paper›PMID 41520083›Full record

ArticleScientific reports2026

Spatial distribution characteristics and influencing factors of China's important agricultural heritage systems.

Zhenzhen Liu, Yingchang Li

Abstract read
In one paragraph

Article in Scientific reports, 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

2 authors.

Zhenzhen LiuCollege of Urban and Rural Construction, Shanxi Agricultural University, Jinzhong, China.
Yingchang LiSchool of History and Culture, Shanxi University, Taiyuan, China. lychang@sxu.edu.cn.

Funding

Doctor Foundation for Working in Shanxi Province 102699901008Shanxi Provincial Art Science Planning Project 24BA136
6 · The paper itself

Abstract

Agricultural heritage systems, a paradigm of harmonious symbiosis between humans and the natural environment, contain rich biodiversity and embody distinctive cultural values and historical significance. Macro-level spatial analysis is essential to understand agricultural heritage systems. This study is based on 188 China's Important Agricultural Heritage Systems (CIAHS) (2013-2023), utilizing spatial analysis methods such as the nearest neighbor index, standard deviational ellipse, kernel density analysis, and Geodetector to examine the spatial distribution characteristics and influencing factors of CIAHS. The results show an uneven distribution of CIAHS, characterized by significant regional discrepancies and an overall clustered spatial pattern. This pattern can be attributed to the combined effects of natural environmental factors (e.g., temperature, precipitation, topography, and water resources) and human environmental factors (e.g., economy, population, transportation, government response, and residents' attention), which interact synergistically. Among these factors, government response, temperature, and residents' attention play relatively greater roles in shaping the overall pattern. The study of the spatial distribution characteristics and influencing factors of CIAHS will enhance the understanding of the geographical evolution and regional variations of these resources, thus providing a scientific basis for their preservation and sustainable development.

Indexed as

GeodetectorImportant agricultural heritage systemsInfluencing factorSpatial distribution characteristic

Identifiers

PMID41520083
PMCPMC12876886

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.