Evidence map›Paper›PMID 37663934›Full record

ArticleInnovation (Cambridge (Mass.))2023

Progress toward the sustainable development of world cultural heritage sites facing land-cover changes.

Huadong Guo, Fulong Chen, Yunwei Tang, Yanbin Ding, Min Chen, Wei Zhou, Meng Zhu, Sheng Gao, Ruixia Yang, Wenwu Zheng and 6 more

Abstract read
In one paragraph

Article in Innovation (Cambridge (Mass.)), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

16 authors.

Huadong GuoInternational Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China.
Fulong ChenInternational Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China.
Yunwei TangInternational Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China.
Yanbin DingCooperative Innovation Center for Digitalization of Cultural Heritage in Traditional Villages and Towns, Hengyang Normal University, Hengyang 421010, China.
Min ChenSchool of Geography, Nanjing Normal University, Nanjing 210023, China.
Wei ZhouInternational Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China.
Meng ZhuInternational Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China.
Sheng GaoKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China.
Ruixia YangInternational Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China.
Wenwu ZhengCooperative Innovation Center for Digitalization of Cultural Heritage in Traditional Villages and Towns, Hengyang Normal University, Hengyang 421010, China.
Chaoyang FangKey Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education & School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China.
Hui LinKey Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education & School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China.
Ana Pereira RodersFaculty of Architecture and the Built Environment, Delft University of Technology, 2600 AA Delft, the Netherlands.
Francesca CignaInstitute of Atmospheric Sciences and Climate (ISAC), National Research Council (CNR), Via del Fosso del Cavaliere 100, 00133 Rome, Italy.
Deodato TapeteItalian Space Agency (ASI), Via del Politecnico snc, 00133 Rome, Italy.
Bing XuDepartment of Earth System Science, Tsinghua University, Beijing 100084, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The quantification of the extent and dynamics of land-use changes is a key metric employed to assess the progress toward several Sustainable Development Goals (SDGs) that form part of the United Nations 2030 Sustainable Development Agenda. In terms of anthropogenic factors threatening the conservation of heritage properties, such a metric aids in the assessment of achievements toward heritage sustainability solving the problem of insufficient data availability. Therefore, in this study, 589 cultural World Heritage List (WHL) properties from 115 countries were analyzed, encompassing globally distributed and statistically significant samples of "monuments and groups of buildings" (73.2%), "sites" (19.3%), and "cultural landscapes" (7.5%). Land-cover changes in the WHL properties between 2015 and 2020 were automatically extracted from big data collections of high-resolution satellite imagery accessed via Google Earth Engine using intelligent remote sensing classification. Sustainability indexes (SIs) were estimated for the protection zones of each property, and the results were employed, for the first time, to assess the progress of each country toward SDG Target 11.4. Despite the apparent advances in SIs (10.4%), most countries either exhibited steady (20.0%) or declining (69.6%) SIs due to limited cultural investigations and enhanced negative anthropogenic disturbances. This study confirms that land-cover changes are among serious threats for heritage conservation, with heritage in some countries wherein the need to address this threat is most crucial, and the proposed spatiotemporal monitoring approach is recommended.

Identifiers

PMID37663934
PMCPMC10472305

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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.