Spatial heterogeneity of landslide distribution and its drivers in the Yangtze River Basin: a remote sensing and GIS-based multi-factor analysis Article Swipe
Yun Liu
,
Xibin Han
,
Xiaodong Cui
,
Xiaohu Li
,
Haiyan Jin
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3389/fenvs.2025.1576700
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3389/fenvs.2025.1576700
Introduction The Yangtze River Basin (YRB) is a region of immense economic and ecological significance in China, whose complex topography and climatic variability render it particularly susceptible to landslide disasters. Methods In this study, landslide spatial density (LSD) is adopted as a quantitative indicator and multiple linear regression analysis alongside the geographic detector method are employed to evaluate the influence of natural and anthropogenic factors on LSD. A Composite Human Activity Intensity Index (CHAII) is developed from nighttime light intensity, population density, and distances to impermeable surfaces and cultivated land. Factors analyzed include CHAII, slope, topographic ruggedness, precipitation, and distances to river and fault lines. Results Results reveal that precipitation and distance to fault are the most significant drivers of LSD across the YRB, with precipitation exhibiting the highest explanatory power. CHAII, precipitation, and topographic ruggedness show strong positive correlations with LSD, whereas slope, distance to river, and distance to fault are negatively correlated. Notably, slopes of 20°–30° correspond to reduced LSD, suggesting a localized mitigating effect. Regionally, intense precipitation in the upper YRB substantially amplifies landslide risk even under low levels of human activity, whereas in the middle YRB natural and anthropogenic factors jointly influence LSD, reflecting a transitional zone. In the lower YRB, interactions between human activity and natural factors become more pronounced, increasing spatial heterogeneity of LSD. Discussion The findings provide important scientific insights for landslide risk management and contribute to the sustainable development of the YRB.
Related Topics
Concepts
Landslide
Precipitation
Spatial heterogeneity
Yangtze river
Environmental science
Spatial distribution
Drainage basin
Physical geography
Structural basin
Population
Natural hazard
Driving factors
Population density
Common spatial pattern
Fault (geology)
China
Ecology
Geography
Geology
Geomorphology
Remote sensing
Cartography
Meteorology
Biology
Archaeology
Sociology
Seismology
Demography
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fenvs.2025.1576700
- https://www.frontiersin.org/journals/environmental-science/articles/10.3389/fenvs.2025.1576700/pdf
- OA Status
- gold
- Cited By
- 2
- References
- 53
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4411500969
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4411500969Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3389/fenvs.2025.1576700Digital Object Identifier
- Title
-
Spatial heterogeneity of landslide distribution and its drivers in the Yangtze River Basin: a remote sensing and GIS-based multi-factor analysisWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-06-20Full publication date if available
- Authors
-
Yun Liu, Xibin Han, Xiaodong Cui, Xiaohu Li, Haiyan JinList of authors in order
- Landing page
-
https://doi.org/10.3389/fenvs.2025.1576700Publisher landing page
- PDF URL
-
https://www.frontiersin.org/journals/environmental-science/articles/10.3389/fenvs.2025.1576700/pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.frontiersin.org/journals/environmental-science/articles/10.3389/fenvs.2025.1576700/pdfDirect OA link when available
- Concepts
-
Landslide, Precipitation, Spatial heterogeneity, Yangtze river, Environmental science, Spatial distribution, Drainage basin, Physical geography, Structural basin, Population, Natural hazard, Driving factors, Population density, Common spatial pattern, Fault (geology), China, Ecology, Geography, Geology, Geomorphology, Remote sensing, Cartography, Meteorology, Biology, Archaeology, Sociology, Seismology, DemographyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2Per-year citation counts (last 5 years)
- References (count)
-
53Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4411500969 |
|---|---|
| doi | https://doi.org/10.3389/fenvs.2025.1576700 |
| ids.doi | https://doi.org/10.3389/fenvs.2025.1576700 |
| ids.openalex | https://openalex.org/W4411500969 |
| fwci | 12.78572908 |
| type | article |
| title | Spatial heterogeneity of landslide distribution and its drivers in the Yangtze River Basin: a remote sensing and GIS-based multi-factor analysis |
| awards[0].id | https://openalex.org/G4453146195 |
| awards[0].funder_id | https://openalex.org/F4320335777 |
| awards[0].display_name | |
| awards[0].funder_award_id | 2023YFC2811305 |
| awards[0].funder_display_name | National Key Research and Development Program of China |
| biblio.issue | |
| biblio.volume | 13 |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T10535 |
| topics[0].field.id | https://openalex.org/fields/23 |
| topics[0].field.display_name | Environmental Science |
| topics[0].score | 0.9998999834060669 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2308 |
| topics[0].subfield.display_name | Management, Monitoring, Policy and Law |
| topics[0].display_name | Landslides and related hazards |
| topics[1].id | https://openalex.org/T10930 |
| topics[1].field.id | https://openalex.org/fields/23 |
| topics[1].field.display_name | Environmental Science |
| topics[1].score | 0.9969000220298767 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2306 |
| topics[1].subfield.display_name | Global and Planetary Change |
| topics[1].display_name | Flood Risk Assessment and Management |
| topics[2].id | https://openalex.org/T10555 |
| topics[2].field.id | https://openalex.org/fields/23 |
| topics[2].field.display_name | Environmental Science |
| topics[2].score | 0.9890999794006348 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2306 |
| topics[2].subfield.display_name | Global and Planetary Change |
| topics[2].display_name | Fire effects on ecosystems |
| funders[0].id | https://openalex.org/F4320335777 |
| funders[0].ror | |
| funders[0].display_name | National Key Research and Development Program of China |
| funders[1].id | https://openalex.org/F4320338152 |
| funders[1].ror | |
| funders[1].display_name | Second Institute of Oceanography, State Oceanic Administration |
| is_xpac | False |
| apc_list.value | 2490 |
| apc_list.currency | USD |
| apc_list.value_usd | 2490 |
| apc_paid.value | 2490 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 2490 |
| concepts[0].id | https://openalex.org/C186295008 |
| concepts[0].level | 2 |
| concepts[0].score | 0.8529372811317444 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q167903 |
| concepts[0].display_name | Landslide |
| concepts[1].id | https://openalex.org/C107054158 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6883935332298279 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q25257 |
| concepts[1].display_name | Precipitation |
| concepts[2].id | https://openalex.org/C180478619 |
| concepts[2].level | 2 |
| concepts[2].score | 0.6524133682250977 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q7574066 |
| concepts[2].display_name | Spatial heterogeneity |
| concepts[3].id | https://openalex.org/C3018003528 |
| concepts[3].level | 3 |
| concepts[3].score | 0.5830176472663879 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q5413 |
| concepts[3].display_name | Yangtze river |
| concepts[4].id | https://openalex.org/C39432304 |
| concepts[4].level | 0 |
| concepts[4].score | 0.5595991611480713 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q188847 |
| concepts[4].display_name | Environmental science |
| concepts[5].id | https://openalex.org/C2777016058 |
| concepts[5].level | 2 |
| concepts[5].score | 0.5399733781814575 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q7574061 |
| concepts[5].display_name | Spatial distribution |
| concepts[6].id | https://openalex.org/C126645576 |
| concepts[6].level | 2 |
| concepts[6].score | 0.5270864367485046 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q166620 |
| concepts[6].display_name | Drainage basin |
| concepts[7].id | https://openalex.org/C100970517 |
| concepts[7].level | 1 |
| concepts[7].score | 0.5267692804336548 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q52107 |
| concepts[7].display_name | Physical geography |
| concepts[8].id | https://openalex.org/C109007969 |
| concepts[8].level | 2 |
| concepts[8].score | 0.4874024987220764 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q749565 |
| concepts[8].display_name | Structural basin |
| concepts[9].id | https://openalex.org/C2908647359 |
| concepts[9].level | 2 |
| concepts[9].score | 0.48350265622138977 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q2625603 |
| concepts[9].display_name | Population |
| concepts[10].id | https://openalex.org/C39410599 |
| concepts[10].level | 2 |
| concepts[10].score | 0.44752395153045654 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q3433179 |
| concepts[10].display_name | Natural hazard |
| concepts[11].id | https://openalex.org/C2780083587 |
| concepts[11].level | 3 |
| concepts[11].score | 0.4471023976802826 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q5308081 |
| concepts[11].display_name | Driving factors |
| concepts[12].id | https://openalex.org/C199733313 |
| concepts[12].level | 3 |
| concepts[12].score | 0.42216378450393677 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q22856 |
| concepts[12].display_name | Population density |
| concepts[13].id | https://openalex.org/C173727882 |
| concepts[13].level | 2 |
| concepts[13].score | 0.4212948679924011 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q5153620 |
| concepts[13].display_name | Common spatial pattern |
| concepts[14].id | https://openalex.org/C175551986 |
| concepts[14].level | 2 |
| concepts[14].score | 0.414898157119751 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q47089 |
| concepts[14].display_name | Fault (geology) |
| concepts[15].id | https://openalex.org/C191935318 |
| concepts[15].level | 2 |
| concepts[15].score | 0.39523062109947205 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q148 |
| concepts[15].display_name | China |
| concepts[16].id | https://openalex.org/C18903297 |
| concepts[16].level | 1 |
| concepts[16].score | 0.30102306604385376 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q7150 |
| concepts[16].display_name | Ecology |
| concepts[17].id | https://openalex.org/C205649164 |
| concepts[17].level | 0 |
| concepts[17].score | 0.288817822933197 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q1071 |
| concepts[17].display_name | Geography |
| concepts[18].id | https://openalex.org/C127313418 |
| concepts[18].level | 0 |
| concepts[18].score | 0.2259819209575653 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q1069 |
| concepts[18].display_name | Geology |
| concepts[19].id | https://openalex.org/C114793014 |
| concepts[19].level | 1 |
| concepts[19].score | 0.16155144572257996 |
| concepts[19].wikidata | https://www.wikidata.org/wiki/Q52109 |
| concepts[19].display_name | Geomorphology |
| concepts[20].id | https://openalex.org/C62649853 |
| concepts[20].level | 1 |
| concepts[20].score | 0.14702275395393372 |
| concepts[20].wikidata | https://www.wikidata.org/wiki/Q199687 |
| concepts[20].display_name | Remote sensing |
| concepts[21].id | https://openalex.org/C58640448 |
| concepts[21].level | 1 |
| concepts[21].score | 0.1028670072555542 |
| concepts[21].wikidata | https://www.wikidata.org/wiki/Q42515 |
| concepts[21].display_name | Cartography |
| concepts[22].id | https://openalex.org/C153294291 |
| concepts[22].level | 1 |
| concepts[22].score | 0.10115119814872742 |
| concepts[22].wikidata | https://www.wikidata.org/wiki/Q25261 |
| concepts[22].display_name | Meteorology |
| concepts[23].id | https://openalex.org/C86803240 |
| concepts[23].level | 0 |
| concepts[23].score | 0.0 |
| concepts[23].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[23].display_name | Biology |
| concepts[24].id | https://openalex.org/C166957645 |
| concepts[24].level | 1 |
| concepts[24].score | 0.0 |
| concepts[24].wikidata | https://www.wikidata.org/wiki/Q23498 |
| concepts[24].display_name | Archaeology |
| concepts[25].id | https://openalex.org/C144024400 |
| concepts[25].level | 0 |
| concepts[25].score | 0.0 |
| concepts[25].wikidata | https://www.wikidata.org/wiki/Q21201 |
| concepts[25].display_name | Sociology |
| concepts[26].id | https://openalex.org/C165205528 |
| concepts[26].level | 1 |
| concepts[26].score | 0.0 |
| concepts[26].wikidata | https://www.wikidata.org/wiki/Q83371 |
| concepts[26].display_name | Seismology |
| concepts[27].id | https://openalex.org/C149923435 |
| concepts[27].level | 1 |
| concepts[27].score | 0.0 |
| concepts[27].wikidata | https://www.wikidata.org/wiki/Q37732 |
| concepts[27].display_name | Demography |
| keywords[0].id | https://openalex.org/keywords/landslide |
| keywords[0].score | 0.8529372811317444 |
| keywords[0].display_name | Landslide |
| keywords[1].id | https://openalex.org/keywords/precipitation |
| keywords[1].score | 0.6883935332298279 |
| keywords[1].display_name | Precipitation |
| keywords[2].id | https://openalex.org/keywords/spatial-heterogeneity |
| keywords[2].score | 0.6524133682250977 |
| keywords[2].display_name | Spatial heterogeneity |
| keywords[3].id | https://openalex.org/keywords/yangtze-river |
| keywords[3].score | 0.5830176472663879 |
| keywords[3].display_name | Yangtze river |
| keywords[4].id | https://openalex.org/keywords/environmental-science |
| keywords[4].score | 0.5595991611480713 |
| keywords[4].display_name | Environmental science |
| keywords[5].id | https://openalex.org/keywords/spatial-distribution |
| keywords[5].score | 0.5399733781814575 |
| keywords[5].display_name | Spatial distribution |
| keywords[6].id | https://openalex.org/keywords/drainage-basin |
| keywords[6].score | 0.5270864367485046 |
| keywords[6].display_name | Drainage basin |
| keywords[7].id | https://openalex.org/keywords/physical-geography |
| keywords[7].score | 0.5267692804336548 |
| keywords[7].display_name | Physical geography |
| keywords[8].id | https://openalex.org/keywords/structural-basin |
| keywords[8].score | 0.4874024987220764 |
| keywords[8].display_name | Structural basin |
| keywords[9].id | https://openalex.org/keywords/population |
| keywords[9].score | 0.48350265622138977 |
| keywords[9].display_name | Population |
| keywords[10].id | https://openalex.org/keywords/natural-hazard |
| keywords[10].score | 0.44752395153045654 |
| keywords[10].display_name | Natural hazard |
| keywords[11].id | https://openalex.org/keywords/driving-factors |
| keywords[11].score | 0.4471023976802826 |
| keywords[11].display_name | Driving factors |
| keywords[12].id | https://openalex.org/keywords/population-density |
| keywords[12].score | 0.42216378450393677 |
| keywords[12].display_name | Population density |
| keywords[13].id | https://openalex.org/keywords/common-spatial-pattern |
| keywords[13].score | 0.4212948679924011 |
| keywords[13].display_name | Common spatial pattern |
| keywords[14].id | https://openalex.org/keywords/fault |
| keywords[14].score | 0.414898157119751 |
| keywords[14].display_name | Fault (geology) |
| keywords[15].id | https://openalex.org/keywords/china |
| keywords[15].score | 0.39523062109947205 |
| keywords[15].display_name | China |
| keywords[16].id | https://openalex.org/keywords/ecology |
| keywords[16].score | 0.30102306604385376 |
| keywords[16].display_name | Ecology |
| keywords[17].id | https://openalex.org/keywords/geography |
| keywords[17].score | 0.288817822933197 |
| keywords[17].display_name | Geography |
| keywords[18].id | https://openalex.org/keywords/geology |
| keywords[18].score | 0.2259819209575653 |
| keywords[18].display_name | Geology |
| keywords[19].id | https://openalex.org/keywords/geomorphology |
| keywords[19].score | 0.16155144572257996 |
| keywords[19].display_name | Geomorphology |
| keywords[20].id | https://openalex.org/keywords/remote-sensing |
| keywords[20].score | 0.14702275395393372 |
| keywords[20].display_name | Remote sensing |
| keywords[21].id | https://openalex.org/keywords/cartography |
| keywords[21].score | 0.1028670072555542 |
| keywords[21].display_name | Cartography |
| keywords[22].id | https://openalex.org/keywords/meteorology |
| keywords[22].score | 0.10115119814872742 |
| keywords[22].display_name | Meteorology |
| language | en |
| locations[0].id | doi:10.3389/fenvs.2025.1576700 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S2596204836 |
| locations[0].source.issn | 2296-665X |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2296-665X |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Frontiers in Environmental Science |
| locations[0].source.host_organization | https://openalex.org/P4310320527 |
| locations[0].source.host_organization_name | Frontiers Media |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320527 |
| locations[0].source.host_organization_lineage_names | Frontiers Media |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://www.frontiersin.org/journals/environmental-science/articles/10.3389/fenvs.2025.1576700/pdf |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Frontiers in Environmental Science |
| locations[0].landing_page_url | https://doi.org/10.3389/fenvs.2025.1576700 |
| locations[1].id | pmh:oai:doaj.org/article:94a5cdb5c3d04cc0a5e18e409e113ace |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306401280 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[1].source.host_organization | |
| locations[1].source.host_organization_name | |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | submittedVersion |
| locations[1].raw_type | article |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | Frontiers in Environmental Science, Vol 13 (2025) |
| locations[1].landing_page_url | https://doaj.org/article/94a5cdb5c3d04cc0a5e18e409e113ace |
| indexed_in | crossref, doaj |
| authorships[0].author.id | https://openalex.org/A5070072717 |
| authorships[0].author.orcid | https://orcid.org/0000-0001-8615-4710 |
| authorships[0].author.display_name | Yun Liu |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Yun Liu |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5100564749 |
| authorships[1].author.orcid | https://orcid.org/0000-0001-6235-9148 |
| authorships[1].author.display_name | Xibin Han |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Xibin Han |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5102014288 |
| authorships[2].author.orcid | https://orcid.org/0000-0001-5453-7346 |
| authorships[2].author.display_name | Xiaodong Cui |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Xiaodong Cui |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | https://openalex.org/A5100631865 |
| authorships[3].author.orcid | https://orcid.org/0000-0001-8278-3878 |
| authorships[3].author.display_name | Xiaohu Li |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Xiaohu Li |
| authorships[3].is_corresponding | False |
| authorships[4].author.id | https://openalex.org/A5101504650 |
| authorships[4].author.orcid | https://orcid.org/0000-0003-4070-1365 |
| authorships[4].author.display_name | Haiyan Jin |
| authorships[4].author_position | last |
| authorships[4].raw_author_name | Haiyan Jin |
| authorships[4].is_corresponding | False |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.frontiersin.org/journals/environmental-science/articles/10.3389/fenvs.2025.1576700/pdf |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Spatial heterogeneity of landslide distribution and its drivers in the Yangtze River Basin: a remote sensing and GIS-based multi-factor analysis |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10535 |
| primary_topic.field.id | https://openalex.org/fields/23 |
| primary_topic.field.display_name | Environmental Science |
| primary_topic.score | 0.9998999834060669 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2308 |
| primary_topic.subfield.display_name | Management, Monitoring, Policy and Law |
| primary_topic.display_name | Landslides and related hazards |
| related_works | https://openalex.org/W4408453179, https://openalex.org/W1995645534, https://openalex.org/W2410086394, https://openalex.org/W4205445983, https://openalex.org/W2388314419, https://openalex.org/W4200529849, https://openalex.org/W2115014939, https://openalex.org/W2107368624, https://openalex.org/W4388988646, https://openalex.org/W2787231581 |
| cited_by_count | 2 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 2 |
| locations_count | 2 |
| best_oa_location.id | doi:10.3389/fenvs.2025.1576700 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S2596204836 |
| best_oa_location.source.issn | 2296-665X |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2296-665X |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Frontiers in Environmental Science |
| best_oa_location.source.host_organization | https://openalex.org/P4310320527 |
| best_oa_location.source.host_organization_name | Frontiers Media |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310320527 |
| best_oa_location.source.host_organization_lineage_names | Frontiers Media |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://www.frontiersin.org/journals/environmental-science/articles/10.3389/fenvs.2025.1576700/pdf |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Frontiers in Environmental Science |
| best_oa_location.landing_page_url | https://doi.org/10.3389/fenvs.2025.1576700 |
| primary_location.id | doi:10.3389/fenvs.2025.1576700 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S2596204836 |
| primary_location.source.issn | 2296-665X |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2296-665X |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Frontiers in Environmental Science |
| primary_location.source.host_organization | https://openalex.org/P4310320527 |
| primary_location.source.host_organization_name | Frontiers Media |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320527 |
| primary_location.source.host_organization_lineage_names | Frontiers Media |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.frontiersin.org/journals/environmental-science/articles/10.3389/fenvs.2025.1576700/pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Frontiers in Environmental Science |
| primary_location.landing_page_url | https://doi.org/10.3389/fenvs.2025.1576700 |
| publication_date | 2025-06-20 |
| publication_year | 2025 |
| referenced_works | https://openalex.org/W4391714218, https://openalex.org/W4246701676, https://openalex.org/W4297404857, https://openalex.org/W4281955486, https://openalex.org/W4406662489, https://openalex.org/W2134955829, https://openalex.org/W3004770778, https://openalex.org/W2796043228, https://openalex.org/W4399097120, https://openalex.org/W4391338218, https://openalex.org/W4401856272, https://openalex.org/W2154029090, https://openalex.org/W4388076173, https://openalex.org/W2004773494, https://openalex.org/W4402825059, https://openalex.org/W2142355173, https://openalex.org/W2089314377, https://openalex.org/W3143398588, https://openalex.org/W2029945928, https://openalex.org/W2057039778, https://openalex.org/W2606794913, https://openalex.org/W3128329987, https://openalex.org/W2884920879, https://openalex.org/W2902857079, https://openalex.org/W2140964565, https://openalex.org/W2074001491, https://openalex.org/W4301393830, https://openalex.org/W4367051999, https://openalex.org/W2971897573, https://openalex.org/W2054512946, https://openalex.org/W4400976928, https://openalex.org/W2984425488, https://openalex.org/W4393344597, https://openalex.org/W4252286518, https://openalex.org/W4403098903, https://openalex.org/W3039867984, https://openalex.org/W4400438542, https://openalex.org/W2064319214, https://openalex.org/W2080134555, https://openalex.org/W2151192484, https://openalex.org/W2163283323, https://openalex.org/W2089682964, https://openalex.org/W3188524028, https://openalex.org/W2103540160, https://openalex.org/W3208360240, https://openalex.org/W4377092518, https://openalex.org/W2052531245, https://openalex.org/W2801703646, https://openalex.org/W2989777768, https://openalex.org/W2041973861, https://openalex.org/W4405107607, https://openalex.org/W4403685784, https://openalex.org/W3206632822 |
| referenced_works_count | 53 |
| abstract_inverted_index.A | 67 |
| abstract_inverted_index.a | 7, 41, 163, 198 |
| abstract_inverted_index.In | 31, 201 |
| abstract_inverted_index.as | 40 |
| abstract_inverted_index.in | 15, 170, 186 |
| abstract_inverted_index.is | 6, 38, 74 |
| abstract_inverted_index.it | 24 |
| abstract_inverted_index.of | 9, 60, 119, 156, 182, 218, 237 |
| abstract_inverted_index.on | 65 |
| abstract_inverted_index.to | 27, 56, 84, 100, 112, 145, 149, 159, 233 |
| abstract_inverted_index.LSD | 120 |
| abstract_inverted_index.The | 1, 221 |
| abstract_inverted_index.YRB | 173, 189 |
| abstract_inverted_index.and | 12, 20, 44, 62, 82, 87, 98, 102, 110, 133, 147, 191, 209, 231 |
| abstract_inverted_index.are | 54, 114, 151 |
| abstract_inverted_index.for | 227 |
| abstract_inverted_index.low | 180 |
| abstract_inverted_index.the | 50, 58, 115, 122, 127, 171, 187, 202, 234, 238 |
| abstract_inverted_index.LSD, | 141, 161, 196 |
| abstract_inverted_index.LSD. | 66, 219 |
| abstract_inverted_index.YRB, | 123, 204 |
| abstract_inverted_index.YRB. | 239 |
| abstract_inverted_index.even | 178 |
| abstract_inverted_index.from | 76 |
| abstract_inverted_index.more | 213 |
| abstract_inverted_index.most | 116 |
| abstract_inverted_index.risk | 177, 229 |
| abstract_inverted_index.show | 136 |
| abstract_inverted_index.that | 108 |
| abstract_inverted_index.this | 32 |
| abstract_inverted_index.with | 124, 140 |
| abstract_inverted_index.(LSD) | 37 |
| abstract_inverted_index.(YRB) | 5 |
| abstract_inverted_index.Basin | 4 |
| abstract_inverted_index.Human | 69 |
| abstract_inverted_index.Index | 72 |
| abstract_inverted_index.River | 3 |
| abstract_inverted_index.fault | 103, 113, 150 |
| abstract_inverted_index.human | 183, 207 |
| abstract_inverted_index.land. | 89 |
| abstract_inverted_index.light | 78 |
| abstract_inverted_index.lower | 203 |
| abstract_inverted_index.river | 101 |
| abstract_inverted_index.under | 179 |
| abstract_inverted_index.upper | 172 |
| abstract_inverted_index.whose | 17 |
| abstract_inverted_index.zone. | 200 |
| abstract_inverted_index.CHAII, | 93, 131 |
| abstract_inverted_index.China, | 16 |
| abstract_inverted_index.across | 121 |
| abstract_inverted_index.become | 212 |
| abstract_inverted_index.levels | 181 |
| abstract_inverted_index.linear | 46 |
| abstract_inverted_index.lines. | 104 |
| abstract_inverted_index.method | 53 |
| abstract_inverted_index.middle | 188 |
| abstract_inverted_index.power. | 130 |
| abstract_inverted_index.region | 8 |
| abstract_inverted_index.render | 23 |
| abstract_inverted_index.reveal | 107 |
| abstract_inverted_index.river, | 146 |
| abstract_inverted_index.slope, | 94, 143 |
| abstract_inverted_index.slopes | 155 |
| abstract_inverted_index.strong | 137 |
| abstract_inverted_index.study, | 33 |
| abstract_inverted_index.(CHAII) | 73 |
| abstract_inverted_index.Factors | 90 |
| abstract_inverted_index.Methods | 30 |
| abstract_inverted_index.Results | 105, 106 |
| abstract_inverted_index.Yangtze | 2 |
| abstract_inverted_index.adopted | 39 |
| abstract_inverted_index.between | 206 |
| abstract_inverted_index.complex | 18 |
| abstract_inverted_index.density | 36 |
| abstract_inverted_index.drivers | 118 |
| abstract_inverted_index.effect. | 166 |
| abstract_inverted_index.factors | 64, 193, 211 |
| abstract_inverted_index.highest | 128 |
| abstract_inverted_index.immense | 10 |
| abstract_inverted_index.include | 92 |
| abstract_inverted_index.intense | 168 |
| abstract_inverted_index.jointly | 194 |
| abstract_inverted_index.natural | 61, 190, 210 |
| abstract_inverted_index.provide | 223 |
| abstract_inverted_index.reduced | 160 |
| abstract_inverted_index.spatial | 35, 216 |
| abstract_inverted_index.whereas | 142, 185 |
| abstract_inverted_index.Activity | 70 |
| abstract_inverted_index.Notably, | 154 |
| abstract_inverted_index.activity | 208 |
| abstract_inverted_index.analysis | 48 |
| abstract_inverted_index.analyzed | 91 |
| abstract_inverted_index.climatic | 21 |
| abstract_inverted_index.density, | 81 |
| abstract_inverted_index.detector | 52 |
| abstract_inverted_index.distance | 111, 144, 148 |
| abstract_inverted_index.economic | 11 |
| abstract_inverted_index.employed | 55 |
| abstract_inverted_index.evaluate | 57 |
| abstract_inverted_index.findings | 222 |
| abstract_inverted_index.insights | 226 |
| abstract_inverted_index.multiple | 45 |
| abstract_inverted_index.positive | 138 |
| abstract_inverted_index.surfaces | 86 |
| abstract_inverted_index.Composite | 68 |
| abstract_inverted_index.Intensity | 71 |
| abstract_inverted_index.activity, | 184 |
| abstract_inverted_index.alongside | 49 |
| abstract_inverted_index.amplifies | 175 |
| abstract_inverted_index.developed | 75 |
| abstract_inverted_index.distances | 83, 99 |
| abstract_inverted_index.important | 224 |
| abstract_inverted_index.indicator | 43 |
| abstract_inverted_index.influence | 59, 195 |
| abstract_inverted_index.landslide | 28, 34, 176, 228 |
| abstract_inverted_index.localized | 164 |
| abstract_inverted_index.nighttime | 77 |
| abstract_inverted_index.Discussion | 220 |
| abstract_inverted_index.contribute | 232 |
| abstract_inverted_index.correspond | 158 |
| abstract_inverted_index.cultivated | 88 |
| abstract_inverted_index.disasters. | 29 |
| abstract_inverted_index.ecological | 13 |
| abstract_inverted_index.exhibiting | 126 |
| abstract_inverted_index.geographic | 51 |
| abstract_inverted_index.increasing | 215 |
| abstract_inverted_index.intensity, | 79 |
| abstract_inverted_index.management | 230 |
| abstract_inverted_index.mitigating | 165 |
| abstract_inverted_index.negatively | 152 |
| abstract_inverted_index.population | 80 |
| abstract_inverted_index.reflecting | 197 |
| abstract_inverted_index.regression | 47 |
| abstract_inverted_index.ruggedness | 135 |
| abstract_inverted_index.scientific | 225 |
| abstract_inverted_index.suggesting | 162 |
| abstract_inverted_index.topography | 19 |
| abstract_inverted_index.20°–30° | 157 |
| abstract_inverted_index.Regionally, | 167 |
| abstract_inverted_index.correlated. | 153 |
| abstract_inverted_index.development | 236 |
| abstract_inverted_index.explanatory | 129 |
| abstract_inverted_index.impermeable | 85 |
| abstract_inverted_index.pronounced, | 214 |
| abstract_inverted_index.ruggedness, | 96 |
| abstract_inverted_index.significant | 117 |
| abstract_inverted_index.susceptible | 26 |
| abstract_inverted_index.sustainable | 235 |
| abstract_inverted_index.topographic | 95, 134 |
| abstract_inverted_index.variability | 22 |
| abstract_inverted_index.Introduction | 0 |
| abstract_inverted_index.correlations | 139 |
| abstract_inverted_index.interactions | 205 |
| abstract_inverted_index.particularly | 25 |
| abstract_inverted_index.quantitative | 42 |
| abstract_inverted_index.significance | 14 |
| abstract_inverted_index.transitional | 199 |
| abstract_inverted_index.anthropogenic | 63, 192 |
| abstract_inverted_index.heterogeneity | 217 |
| abstract_inverted_index.precipitation | 109, 125, 169 |
| abstract_inverted_index.substantially | 174 |
| abstract_inverted_index.precipitation, | 97, 132 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 95 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile.value | 0.96299506 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |