Evidence map›Paper›PMID 40437107›Full record

ArticleScientific reports2025

A methodological framework for identifying traditional rural landscapes based on environmental, cultural, and socio-economic indicators - the case study of China.

Yulian Pan, Francesco Piras, Zechen Wang, Meihui Lai, Mauro Agnoletti, Antonio Santoro

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In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yulian PanDepartment of Agriculture, Food, Environment and Forestry (DAGRI), University of Florence, via San Bonaventura 13, Florence, 50145, Italy.
Francesco PirasDepartment of Agriculture, Food, Environment and Forestry (DAGRI), University of Florence, via San Bonaventura 13, Florence, 50145, Italy.
Zechen WangCollege of Horticulture & Forestry Sciences, Huazhong Agricultural University, Wuhan, China.
Meihui LaiCollege of Horticulture & Forestry Sciences, Huazhong Agricultural University, Wuhan, China.
Mauro AgnolettiDepartment of Agriculture, Food, Environment and Forestry (DAGRI), University of Florence, via San Bonaventura 13, Florence, 50145, Italy.
Antonio SantoroDepartment of Agriculture, Food, Environment and Forestry (DAGRI), University of Florence, via San Bonaventura 13, Florence, 50145, Italy. antonio.santoro@unifi.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional rural landscapes are multifunctional systems that represent examples of sustainable rural practices and development. This study developed a methodological framework for their identification at the national scale, based on high-resolution spatial analyses of different indicators of environmental, cultural, and socio-economic types. The methodology has been applied to the entire territory of China and then validated. Results demonstrate that China has a great potential regarding the presence of traditional landscapes. Traditional agricultural landscapes are more common in the east, scattered among intensive agricultural systems. Hotspots for traditional forest landscapes are located in Northeastern China and in the south. Traditional pastoral landscapes are instead related to extensive grazing and to sparsely populated areas. The strong correlation between the results of this study and the spatial distribution of the 188 NIAHS demonstrate the validity and reliability of the proposed methodological framework. This study provides high-resolution spatial data that can be used by different stakeholders involved in landscape management, conservation, and valorisation. The proposed framework can also be replicated and tested in different countries, for the development of national identification and conservation programmes, or for the selection of traditional cultural landscapes to be proposed for international programmes, such as the FAO GIAHS (Globally Important Agricultural Heritage Systems) Programme, or the UNESCO World Heritage List.

Indexed as

Agricultural heritageCultural forestsCultural landscapeGIAHSIndicator evaluation modelNIAHS

Identifiers

PMID40437107
PMCPMC12119946

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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.