Modeling potential wetland distributions in China based on geographic big data and machine learning algorithms Article Swipe
Hengxing Xiang
,
Yanbiao Xi
,
Dehua Mao
,
Tianyuan Xu
,
Ming Wang
,
Fudong Yu
,
Kaidong Feng
,
Zongming Wang
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1080/17538947.2023.2256723
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1080/17538947.2023.2256723
Climate change and human activities have reduced the area and degraded the functions and services of wetlands in China. To protect and restore wetlands, it is urgent to predict the spatial distribution of potential wetlands. In this study, the distribution of potential wetlands in China was simulated by integrating the advantages of Google Earth Engine with geographic big data and machine learning algorithms. Based on a potential wetland database with 46,000 samples and an indicator system of 30 hydrologic, soil, vegetation, and topographic factors, a simulation model was constructed by machine learning algorithms. The accuracy of the random forest model for simulating the distribution of potential wetlands in China was good, with an area under the receiver operating characteristic curve value of 0.851. The area of potential wetlands was 332,702 km2, with 39.0% of potential wetlands in Northeast China. Geographic features were notable, and potential wetlands were mainly concentrated in areas with 400–600 mm precipitation, semi-hydric and hydric soils, meadow and marsh vegetation, altitude less than 700 m, and slope less than 3°. The results provide an important reference for wetland remote sensing mapping and a scientific basis for wetland management in China.
Related Topics
Concepts
Wetland
Hydric soil
Environmental science
Vegetation (pathology)
Hydrology (agriculture)
China
Remote sensing
Distribution (mathematics)
Geographic information system
Random forest
Geography
Soil water
Soil science
Ecology
Machine learning
Computer science
Geology
Mathematics
Mathematical analysis
Biology
Geotechnical engineering
Medicine
Archaeology
Pathology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1080/17538947.2023.2256723
- OA Status
- gold
- Cited By
- 10
- References
- 37
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4386819892
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4386819892Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1080/17538947.2023.2256723Digital Object Identifier
- Title
-
Modeling potential wetland distributions in China based on geographic big data and machine learning algorithmsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-09-18Full publication date if available
- Authors
-
Hengxing Xiang, Yanbiao Xi, Dehua Mao, Tianyuan Xu, Ming Wang, Fudong Yu, Kaidong Feng, Zongming WangList of authors in order
- Landing page
-
https://doi.org/10.1080/17538947.2023.2256723Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1080/17538947.2023.2256723Direct OA link when available
- Concepts
-
Wetland, Hydric soil, Environmental science, Vegetation (pathology), Hydrology (agriculture), China, Remote sensing, Distribution (mathematics), Geographic information system, Random forest, Geography, Soil water, Soil science, Ecology, Machine learning, Computer science, Geology, Mathematics, Mathematical analysis, Biology, Geotechnical engineering, Medicine, Archaeology, PathologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
10Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 9, 2023: 1Per-year citation counts (last 5 years)
- References (count)
-
37Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4386819892 |
|---|---|
| doi | https://doi.org/10.1080/17538947.2023.2256723 |
| ids.doi | https://doi.org/10.1080/17538947.2023.2256723 |
| ids.openalex | https://openalex.org/W4386819892 |
| fwci | 2.03007008 |
| type | article |
| title | Modeling potential wetland distributions in China based on geographic big data and machine learning algorithms |
| awards[0].id | https://openalex.org/G376825019 |
| awards[0].funder_id | https://openalex.org/F4320322847 |
| awards[0].display_name | |
| awards[0].funder_award_id | 2017277 and 2021227 |
| awards[0].funder_display_name | Youth Innovation Promotion Association of the Chinese Academy of Sciences |
| awards[1].id | https://openalex.org/G6614697737 |
| awards[1].funder_id | https://openalex.org/F4320321001 |
| awards[1].display_name | |
| awards[1].funder_award_id | YDZJ202301ZYTS218 |
| awards[1].funder_display_name | National Natural Science Foundation of China |
| biblio.issue | 1 |
| biblio.volume | 16 |
| biblio.last_page | 3724 |
| biblio.first_page | 3706 |
| topics[0].id | https://openalex.org/T10226 |
| topics[0].field.id | https://openalex.org/fields/23 |
| topics[0].field.display_name | Environmental Science |
| topics[0].score | 0.9983999729156494 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2306 |
| topics[0].subfield.display_name | Global and Planetary Change |
| topics[0].display_name | Land Use and Ecosystem Services |
| topics[1].id | https://openalex.org/T10779 |
| topics[1].field.id | https://openalex.org/fields/23 |
| topics[1].field.display_name | Environmental Science |
| topics[1].score | 0.9772999882698059 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2303 |
| topics[1].subfield.display_name | Ecology |
| topics[1].display_name | Coastal wetland ecosystem dynamics |
| topics[2].id | https://openalex.org/T10930 |
| topics[2].field.id | https://openalex.org/fields/23 |
| topics[2].field.display_name | Environmental Science |
| topics[2].score | 0.9731000065803528 |
| 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 | Flood Risk Assessment and Management |
| funders[0].id | https://openalex.org/F4320321001 |
| funders[0].ror | https://ror.org/01h0zpd94 |
| funders[0].display_name | National Natural Science Foundation of China |
| funders[1].id | https://openalex.org/F4320322847 |
| funders[1].ror | https://ror.org/031141b54 |
| funders[1].display_name | Youth Innovation Promotion Association of the Chinese Academy of Sciences |
| is_xpac | False |
| apc_list.value | 2390 |
| apc_list.currency | USD |
| apc_list.value_usd | 2390 |
| apc_paid.value | 2390 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 2390 |
| concepts[0].id | https://openalex.org/C67715294 |
| concepts[0].level | 2 |
| concepts[0].score | 0.9341532588005066 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q170321 |
| concepts[0].display_name | Wetland |
| concepts[1].id | https://openalex.org/C28362043 |
| concepts[1].level | 3 |
| concepts[1].score | 0.8488150238990784 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q13410263 |
| concepts[1].display_name | Hydric soil |
| concepts[2].id | https://openalex.org/C39432304 |
| concepts[2].level | 0 |
| concepts[2].score | 0.567797839641571 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q188847 |
| concepts[2].display_name | Environmental science |
| concepts[3].id | https://openalex.org/C2776133958 |
| concepts[3].level | 2 |
| concepts[3].score | 0.5009467601776123 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q7918366 |
| concepts[3].display_name | Vegetation (pathology) |
| concepts[4].id | https://openalex.org/C76886044 |
| concepts[4].level | 2 |
| concepts[4].score | 0.4864904284477234 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q2883300 |
| concepts[4].display_name | Hydrology (agriculture) |
| concepts[5].id | https://openalex.org/C191935318 |
| concepts[5].level | 2 |
| concepts[5].score | 0.4825419783592224 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q148 |
| concepts[5].display_name | China |
| concepts[6].id | https://openalex.org/C62649853 |
| concepts[6].level | 1 |
| concepts[6].score | 0.44959723949432373 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q199687 |
| concepts[6].display_name | Remote sensing |
| concepts[7].id | https://openalex.org/C110121322 |
| concepts[7].level | 2 |
| concepts[7].score | 0.44426313042640686 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q865811 |
| concepts[7].display_name | Distribution (mathematics) |
| concepts[8].id | https://openalex.org/C41856607 |
| concepts[8].level | 2 |
| concepts[8].score | 0.427554726600647 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q483130 |
| concepts[8].display_name | Geographic information system |
| concepts[9].id | https://openalex.org/C169258074 |
| concepts[9].level | 2 |
| concepts[9].score | 0.41319388151168823 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q245748 |
| concepts[9].display_name | Random forest |
| concepts[10].id | https://openalex.org/C205649164 |
| concepts[10].level | 0 |
| concepts[10].score | 0.3203803300857544 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q1071 |
| concepts[10].display_name | Geography |
| concepts[11].id | https://openalex.org/C159750122 |
| concepts[11].level | 2 |
| concepts[11].score | 0.2496437132358551 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q96621023 |
| concepts[11].display_name | Soil water |
| concepts[12].id | https://openalex.org/C159390177 |
| concepts[12].level | 1 |
| concepts[12].score | 0.23711830377578735 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q9161265 |
| concepts[12].display_name | Soil science |
| concepts[13].id | https://openalex.org/C18903297 |
| concepts[13].level | 1 |
| concepts[13].score | 0.2192591428756714 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q7150 |
| concepts[13].display_name | Ecology |
| concepts[14].id | https://openalex.org/C119857082 |
| concepts[14].level | 1 |
| concepts[14].score | 0.1986420750617981 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q2539 |
| concepts[14].display_name | Machine learning |
| concepts[15].id | https://openalex.org/C41008148 |
| concepts[15].level | 0 |
| concepts[15].score | 0.16897383332252502 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[15].display_name | Computer science |
| concepts[16].id | https://openalex.org/C127313418 |
| concepts[16].level | 0 |
| concepts[16].score | 0.15103650093078613 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q1069 |
| concepts[16].display_name | Geology |
| concepts[17].id | https://openalex.org/C33923547 |
| concepts[17].level | 0 |
| concepts[17].score | 0.11062857508659363 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[17].display_name | Mathematics |
| concepts[18].id | https://openalex.org/C134306372 |
| concepts[18].level | 1 |
| concepts[18].score | 0.0 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q7754 |
| concepts[18].display_name | Mathematical analysis |
| concepts[19].id | https://openalex.org/C86803240 |
| concepts[19].level | 0 |
| concepts[19].score | 0.0 |
| concepts[19].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[19].display_name | Biology |
| concepts[20].id | https://openalex.org/C187320778 |
| concepts[20].level | 1 |
| concepts[20].score | 0.0 |
| concepts[20].wikidata | https://www.wikidata.org/wiki/Q1349130 |
| concepts[20].display_name | Geotechnical engineering |
| concepts[21].id | https://openalex.org/C71924100 |
| concepts[21].level | 0 |
| concepts[21].score | 0.0 |
| concepts[21].wikidata | https://www.wikidata.org/wiki/Q11190 |
| concepts[21].display_name | Medicine |
| concepts[22].id | https://openalex.org/C166957645 |
| concepts[22].level | 1 |
| concepts[22].score | 0.0 |
| concepts[22].wikidata | https://www.wikidata.org/wiki/Q23498 |
| concepts[22].display_name | Archaeology |
| concepts[23].id | https://openalex.org/C142724271 |
| concepts[23].level | 1 |
| concepts[23].score | 0.0 |
| concepts[23].wikidata | https://www.wikidata.org/wiki/Q7208 |
| concepts[23].display_name | Pathology |
| keywords[0].id | https://openalex.org/keywords/wetland |
| keywords[0].score | 0.9341532588005066 |
| keywords[0].display_name | Wetland |
| keywords[1].id | https://openalex.org/keywords/hydric-soil |
| keywords[1].score | 0.8488150238990784 |
| keywords[1].display_name | Hydric soil |
| keywords[2].id | https://openalex.org/keywords/environmental-science |
| keywords[2].score | 0.567797839641571 |
| keywords[2].display_name | Environmental science |
| keywords[3].id | https://openalex.org/keywords/vegetation |
| keywords[3].score | 0.5009467601776123 |
| keywords[3].display_name | Vegetation (pathology) |
| keywords[4].id | https://openalex.org/keywords/hydrology |
| keywords[4].score | 0.4864904284477234 |
| keywords[4].display_name | Hydrology (agriculture) |
| keywords[5].id | https://openalex.org/keywords/china |
| keywords[5].score | 0.4825419783592224 |
| keywords[5].display_name | China |
| keywords[6].id | https://openalex.org/keywords/remote-sensing |
| keywords[6].score | 0.44959723949432373 |
| keywords[6].display_name | Remote sensing |
| keywords[7].id | https://openalex.org/keywords/distribution |
| keywords[7].score | 0.44426313042640686 |
| keywords[7].display_name | Distribution (mathematics) |
| keywords[8].id | https://openalex.org/keywords/geographic-information-system |
| keywords[8].score | 0.427554726600647 |
| keywords[8].display_name | Geographic information system |
| keywords[9].id | https://openalex.org/keywords/random-forest |
| keywords[9].score | 0.41319388151168823 |
| keywords[9].display_name | Random forest |
| keywords[10].id | https://openalex.org/keywords/geography |
| keywords[10].score | 0.3203803300857544 |
| keywords[10].display_name | Geography |
| keywords[11].id | https://openalex.org/keywords/soil-water |
| keywords[11].score | 0.2496437132358551 |
| keywords[11].display_name | Soil water |
| keywords[12].id | https://openalex.org/keywords/soil-science |
| keywords[12].score | 0.23711830377578735 |
| keywords[12].display_name | Soil science |
| keywords[13].id | https://openalex.org/keywords/ecology |
| keywords[13].score | 0.2192591428756714 |
| keywords[13].display_name | Ecology |
| keywords[14].id | https://openalex.org/keywords/machine-learning |
| keywords[14].score | 0.1986420750617981 |
| keywords[14].display_name | Machine learning |
| keywords[15].id | https://openalex.org/keywords/computer-science |
| keywords[15].score | 0.16897383332252502 |
| keywords[15].display_name | Computer science |
| keywords[16].id | https://openalex.org/keywords/geology |
| keywords[16].score | 0.15103650093078613 |
| keywords[16].display_name | Geology |
| keywords[17].id | https://openalex.org/keywords/mathematics |
| keywords[17].score | 0.11062857508659363 |
| keywords[17].display_name | Mathematics |
| language | en |
| locations[0].id | doi:10.1080/17538947.2023.2256723 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S199162493 |
| locations[0].source.issn | 1753-8947, 1753-8955 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 1753-8947 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | International Journal of Digital Earth |
| locations[0].source.host_organization | https://openalex.org/P4310320547 |
| locations[0].source.host_organization_name | Taylor & Francis |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320547 |
| locations[0].source.host_organization_lineage_names | Taylor & Francis |
| locations[0].license | cc-by-nc |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by-nc |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | International Journal of Digital Earth |
| locations[0].landing_page_url | https://doi.org/10.1080/17538947.2023.2256723 |
| locations[1].id | pmh:oai:doaj.org/article:9130e22f4b034b3fb48b37abf9589ec0 |
| 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 | International Journal of Digital Earth, Vol 16, Iss 1, Pp 3706-3724 (2023) |
| locations[1].landing_page_url | https://doaj.org/article/9130e22f4b034b3fb48b37abf9589ec0 |
| indexed_in | crossref, doaj |
| authorships[0].author.id | https://openalex.org/A5049073681 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-1661-1506 |
| authorships[0].author.display_name | Hengxing Xiang |
| authorships[0].countries | CN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I19820366, https://openalex.org/I4210101301 |
| authorships[0].affiliations[0].raw_affiliation_string | State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, People's Republic of China |
| authorships[0].institutions[0].id | https://openalex.org/I19820366 |
| authorships[0].institutions[0].ror | https://ror.org/034t30j35 |
| authorships[0].institutions[0].type | government |
| authorships[0].institutions[0].lineage | https://openalex.org/I19820366 |
| authorships[0].institutions[0].country_code | CN |
| authorships[0].institutions[0].display_name | Chinese Academy of Sciences |
| authorships[0].institutions[1].id | https://openalex.org/I4210101301 |
| authorships[0].institutions[1].ror | https://ror.org/01a9z1q73 |
| authorships[0].institutions[1].type | facility |
| authorships[0].institutions[1].lineage | https://openalex.org/I19820366, https://openalex.org/I4210101301 |
| authorships[0].institutions[1].country_code | CN |
| authorships[0].institutions[1].display_name | Northeast Institute of Geography and Agroecology |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Hengxing Xiang |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, People's Republic of China |
| authorships[1].author.id | https://openalex.org/A5084689577 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-9711-5634 |
| authorships[1].author.display_name | Yanbiao Xi |
| authorships[1].countries | CN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I881766915 |
| authorships[1].affiliations[0].raw_affiliation_string | International Institute for Earth System Science, Nanjing University, Nanjing, People's Republic of China |
| authorships[1].institutions[0].id | https://openalex.org/I881766915 |
| authorships[1].institutions[0].ror | https://ror.org/01rxvg760 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I881766915 |
| authorships[1].institutions[0].country_code | CN |
| authorships[1].institutions[0].display_name | Nanjing University |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Yanbiao Xi |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | International Institute for Earth System Science, Nanjing University, Nanjing, People's Republic of China |
| authorships[2].author.id | https://openalex.org/A5039177420 |
| authorships[2].author.orcid | https://orcid.org/0000-0003-3101-9153 |
| authorships[2].author.display_name | Dehua Mao |
| authorships[2].countries | CN |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I19820366, https://openalex.org/I4210101301 |
| authorships[2].affiliations[0].raw_affiliation_string | State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, People's Republic of China |
| authorships[2].institutions[0].id | https://openalex.org/I19820366 |
| authorships[2].institutions[0].ror | https://ror.org/034t30j35 |
| authorships[2].institutions[0].type | government |
| authorships[2].institutions[0].lineage | https://openalex.org/I19820366 |
| authorships[2].institutions[0].country_code | CN |
| authorships[2].institutions[0].display_name | Chinese Academy of Sciences |
| authorships[2].institutions[1].id | https://openalex.org/I4210101301 |
| authorships[2].institutions[1].ror | https://ror.org/01a9z1q73 |
| authorships[2].institutions[1].type | facility |
| authorships[2].institutions[1].lineage | https://openalex.org/I19820366, https://openalex.org/I4210101301 |
| authorships[2].institutions[1].country_code | CN |
| authorships[2].institutions[1].display_name | Northeast Institute of Geography and Agroecology |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Dehua Mao |
| authorships[2].is_corresponding | True |
| authorships[2].raw_affiliation_strings | State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, People's Republic of China |
| authorships[3].author.id | https://openalex.org/A5074102712 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-2048-1644 |
| authorships[3].author.display_name | Tianyuan Xu |
| authorships[3].countries | CN |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I158934434 |
| authorships[3].affiliations[0].raw_affiliation_string | School of Foreign Languages, Zhongnan University of Economics and Law, Wuhan, People's Republic of China |
| authorships[3].institutions[0].id | https://openalex.org/I158934434 |
| authorships[3].institutions[0].ror | https://ror.org/04yqxxq63 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I158934434 |
| authorships[3].institutions[0].country_code | CN |
| authorships[3].institutions[0].display_name | Zhongnan University of Economics and Law |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Tianyuan Xu |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | School of Foreign Languages, Zhongnan University of Economics and Law, Wuhan, People's Republic of China |
| authorships[4].author.id | https://openalex.org/A5100704539 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-0482-9719 |
| authorships[4].author.display_name | Ming Wang |
| authorships[4].countries | CN |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I19820366, https://openalex.org/I4210101301 |
| authorships[4].affiliations[0].raw_affiliation_string | State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, People's Republic of China |
| authorships[4].institutions[0].id | https://openalex.org/I19820366 |
| authorships[4].institutions[0].ror | https://ror.org/034t30j35 |
| authorships[4].institutions[0].type | government |
| authorships[4].institutions[0].lineage | https://openalex.org/I19820366 |
| authorships[4].institutions[0].country_code | CN |
| authorships[4].institutions[0].display_name | Chinese Academy of Sciences |
| authorships[4].institutions[1].id | https://openalex.org/I4210101301 |
| authorships[4].institutions[1].ror | https://ror.org/01a9z1q73 |
| authorships[4].institutions[1].type | facility |
| authorships[4].institutions[1].lineage | https://openalex.org/I19820366, https://openalex.org/I4210101301 |
| authorships[4].institutions[1].country_code | CN |
| authorships[4].institutions[1].display_name | Northeast Institute of Geography and Agroecology |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Ming Wang |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, People's Republic of China |
| authorships[5].author.id | https://openalex.org/A5068528880 |
| authorships[5].author.orcid | https://orcid.org/0000-0002-5685-1811 |
| authorships[5].author.display_name | Fudong Yu |
| authorships[5].countries | CN |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I4210152006 |
| authorships[5].affiliations[0].raw_affiliation_string | College of Information and Technology, Jilin Agricultural University, Changchun, People's Republic of China |
| authorships[5].institutions[0].id | https://openalex.org/I4210152006 |
| authorships[5].institutions[0].ror | https://ror.org/05dmhhd41 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I4210152006 |
| authorships[5].institutions[0].country_code | CN |
| authorships[5].institutions[0].display_name | Jilin Agricultural University |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Fudong Yu |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | College of Information and Technology, Jilin Agricultural University, Changchun, People's Republic of China |
| authorships[6].author.id | https://openalex.org/A5027143880 |
| authorships[6].author.orcid | https://orcid.org/0000-0003-1799-0816 |
| authorships[6].author.display_name | Kaidong Feng |
| authorships[6].countries | CN |
| authorships[6].affiliations[0].institution_ids | https://openalex.org/I19820366, https://openalex.org/I4210101301 |
| authorships[6].affiliations[0].raw_affiliation_string | State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, People's Republic of China |
| authorships[6].institutions[0].id | https://openalex.org/I19820366 |
| authorships[6].institutions[0].ror | https://ror.org/034t30j35 |
| authorships[6].institutions[0].type | government |
| authorships[6].institutions[0].lineage | https://openalex.org/I19820366 |
| authorships[6].institutions[0].country_code | CN |
| authorships[6].institutions[0].display_name | Chinese Academy of Sciences |
| authorships[6].institutions[1].id | https://openalex.org/I4210101301 |
| authorships[6].institutions[1].ror | https://ror.org/01a9z1q73 |
| authorships[6].institutions[1].type | facility |
| authorships[6].institutions[1].lineage | https://openalex.org/I19820366, https://openalex.org/I4210101301 |
| authorships[6].institutions[1].country_code | CN |
| authorships[6].institutions[1].display_name | Northeast Institute of Geography and Agroecology |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Kaidong Feng |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, People's Republic of China |
| authorships[7].author.id | https://openalex.org/A5073496971 |
| authorships[7].author.orcid | https://orcid.org/0000-0002-9865-8235 |
| authorships[7].author.display_name | Zongming Wang |
| authorships[7].countries | CN |
| authorships[7].affiliations[0].institution_ids | https://openalex.org/I19820366, https://openalex.org/I4210101301 |
| authorships[7].affiliations[0].raw_affiliation_string | State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, People's Republic of China |
| authorships[7].affiliations[1].raw_affiliation_string | National Earth System Science Data Center, Beijing, People's Republic of China |
| authorships[7].institutions[0].id | https://openalex.org/I19820366 |
| authorships[7].institutions[0].ror | https://ror.org/034t30j35 |
| authorships[7].institutions[0].type | government |
| authorships[7].institutions[0].lineage | https://openalex.org/I19820366 |
| authorships[7].institutions[0].country_code | CN |
| authorships[7].institutions[0].display_name | Chinese Academy of Sciences |
| authorships[7].institutions[1].id | https://openalex.org/I4210101301 |
| authorships[7].institutions[1].ror | https://ror.org/01a9z1q73 |
| authorships[7].institutions[1].type | facility |
| authorships[7].institutions[1].lineage | https://openalex.org/I19820366, https://openalex.org/I4210101301 |
| authorships[7].institutions[1].country_code | CN |
| authorships[7].institutions[1].display_name | Northeast Institute of Geography and Agroecology |
| authorships[7].author_position | last |
| authorships[7].raw_author_name | Zongming Wang |
| authorships[7].is_corresponding | False |
| authorships[7].raw_affiliation_strings | National Earth System Science Data Center, Beijing, People's Republic of China, State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, People's Republic of China |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.1080/17538947.2023.2256723 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Modeling potential wetland distributions in China based on geographic big data and machine learning algorithms |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10226 |
| primary_topic.field.id | https://openalex.org/fields/23 |
| primary_topic.field.display_name | Environmental Science |
| primary_topic.score | 0.9983999729156494 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2306 |
| primary_topic.subfield.display_name | Global and Planetary Change |
| primary_topic.display_name | Land Use and Ecosystem Services |
| related_works | https://openalex.org/W1893452278, https://openalex.org/W4300779239, https://openalex.org/W2013351486, https://openalex.org/W2560256325, https://openalex.org/W2063379781, https://openalex.org/W1832886262, https://openalex.org/W2891598428, https://openalex.org/W4206709182, https://openalex.org/W2095335982, https://openalex.org/W2995962362 |
| cited_by_count | 10 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 9 |
| counts_by_year[1].year | 2023 |
| counts_by_year[1].cited_by_count | 1 |
| locations_count | 2 |
| best_oa_location.id | doi:10.1080/17538947.2023.2256723 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S199162493 |
| best_oa_location.source.issn | 1753-8947, 1753-8955 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 1753-8947 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | International Journal of Digital Earth |
| best_oa_location.source.host_organization | https://openalex.org/P4310320547 |
| best_oa_location.source.host_organization_name | Taylor & Francis |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310320547 |
| best_oa_location.source.host_organization_lineage_names | Taylor & Francis |
| best_oa_location.license | cc-by-nc |
| best_oa_location.pdf_url | |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by-nc |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | International Journal of Digital Earth |
| best_oa_location.landing_page_url | https://doi.org/10.1080/17538947.2023.2256723 |
| primary_location.id | doi:10.1080/17538947.2023.2256723 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S199162493 |
| primary_location.source.issn | 1753-8947, 1753-8955 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 1753-8947 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | International Journal of Digital Earth |
| primary_location.source.host_organization | https://openalex.org/P4310320547 |
| primary_location.source.host_organization_name | Taylor & Francis |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320547 |
| primary_location.source.host_organization_lineage_names | Taylor & Francis |
| primary_location.license | cc-by-nc |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by-nc |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | International Journal of Digital Earth |
| primary_location.landing_page_url | https://doi.org/10.1080/17538947.2023.2256723 |
| publication_date | 2023-09-18 |
| publication_year | 2023 |
| referenced_works | https://openalex.org/W2911964244, https://openalex.org/W4255051077, https://openalex.org/W2295598076, https://openalex.org/W2365577790, https://openalex.org/W3014876061, https://openalex.org/W4239510810, https://openalex.org/W1985839444, https://openalex.org/W3086688691, https://openalex.org/W2725897987, https://openalex.org/W2772365113, https://openalex.org/W2586169538, https://openalex.org/W2970010057, https://openalex.org/W4376112850, https://openalex.org/W1998515817, https://openalex.org/W2161568742, https://openalex.org/W2796252353, https://openalex.org/W3015950295, https://openalex.org/W2792802470, https://openalex.org/W4281843382, https://openalex.org/W3128837988, https://openalex.org/W2397914484, https://openalex.org/W3006009556, https://openalex.org/W3033680212, https://openalex.org/W1549142192, https://openalex.org/W3041178714, https://openalex.org/W2963464321, https://openalex.org/W3136555658, https://openalex.org/W3141132941, https://openalex.org/W6816439616, https://openalex.org/W4308842821, https://openalex.org/W2048430192, https://openalex.org/W1989428365, https://openalex.org/W3021864345, https://openalex.org/W4319065934, https://openalex.org/W2976464257, https://openalex.org/W4281557545, https://openalex.org/W2257648527 |
| referenced_works_count | 37 |
| abstract_inverted_index.a | 65, 84, 185 |
| abstract_inverted_index.30 | 77 |
| abstract_inverted_index.In | 35 |
| abstract_inverted_index.To | 19 |
| abstract_inverted_index.an | 73, 112, 176 |
| abstract_inverted_index.by | 47, 89 |
| abstract_inverted_index.in | 17, 43, 107, 136, 149, 191 |
| abstract_inverted_index.is | 25 |
| abstract_inverted_index.it | 24 |
| abstract_inverted_index.m, | 167 |
| abstract_inverted_index.mm | 153 |
| abstract_inverted_index.of | 15, 32, 40, 51, 76, 95, 104, 121, 125, 133 |
| abstract_inverted_index.on | 64 |
| abstract_inverted_index.to | 27 |
| abstract_inverted_index.700 | 166 |
| abstract_inverted_index.The | 93, 123, 173 |
| abstract_inverted_index.and | 2, 9, 13, 21, 59, 72, 81, 143, 156, 160, 168, 184 |
| abstract_inverted_index.big | 57 |
| abstract_inverted_index.for | 100, 179, 188 |
| abstract_inverted_index.the | 7, 11, 29, 38, 49, 96, 102, 115 |
| abstract_inverted_index.was | 45, 87, 109, 128 |
| abstract_inverted_index.3°. | 172 |
| abstract_inverted_index.area | 8, 113, 124 |
| abstract_inverted_index.data | 58 |
| abstract_inverted_index.have | 5 |
| abstract_inverted_index.km2, | 130 |
| abstract_inverted_index.less | 164, 170 |
| abstract_inverted_index.than | 165, 171 |
| abstract_inverted_index.this | 36 |
| abstract_inverted_index.were | 141, 146 |
| abstract_inverted_index.with | 55, 69, 111, 131, 151 |
| abstract_inverted_index.39.0% | 132 |
| abstract_inverted_index.Based | 63 |
| abstract_inverted_index.China | 44, 108 |
| abstract_inverted_index.Earth | 53 |
| abstract_inverted_index.areas | 150 |
| abstract_inverted_index.basis | 187 |
| abstract_inverted_index.curve | 119 |
| abstract_inverted_index.good, | 110 |
| abstract_inverted_index.human | 3 |
| abstract_inverted_index.marsh | 161 |
| abstract_inverted_index.model | 86, 99 |
| abstract_inverted_index.slope | 169 |
| abstract_inverted_index.soil, | 79 |
| abstract_inverted_index.under | 114 |
| abstract_inverted_index.value | 120 |
| abstract_inverted_index.0.851. | 122 |
| abstract_inverted_index.46,000 | 70 |
| abstract_inverted_index.China. | 18, 138, 192 |
| abstract_inverted_index.Engine | 54 |
| abstract_inverted_index.Google | 52 |
| abstract_inverted_index.change | 1 |
| abstract_inverted_index.forest | 98 |
| abstract_inverted_index.hydric | 157 |
| abstract_inverted_index.mainly | 147 |
| abstract_inverted_index.meadow | 159 |
| abstract_inverted_index.random | 97 |
| abstract_inverted_index.remote | 181 |
| abstract_inverted_index.soils, | 158 |
| abstract_inverted_index.study, | 37 |
| abstract_inverted_index.system | 75 |
| abstract_inverted_index.urgent | 26 |
| abstract_inverted_index.332,702 | 129 |
| abstract_inverted_index.Climate | 0 |
| abstract_inverted_index.machine | 60, 90 |
| abstract_inverted_index.mapping | 183 |
| abstract_inverted_index.predict | 28 |
| abstract_inverted_index.protect | 20 |
| abstract_inverted_index.provide | 175 |
| abstract_inverted_index.reduced | 6 |
| abstract_inverted_index.restore | 22 |
| abstract_inverted_index.results | 174 |
| abstract_inverted_index.samples | 71 |
| abstract_inverted_index.sensing | 182 |
| abstract_inverted_index.spatial | 30 |
| abstract_inverted_index.wetland | 67, 180, 189 |
| abstract_inverted_index.accuracy | 94 |
| abstract_inverted_index.altitude | 163 |
| abstract_inverted_index.database | 68 |
| abstract_inverted_index.degraded | 10 |
| abstract_inverted_index.factors, | 83 |
| abstract_inverted_index.features | 140 |
| abstract_inverted_index.learning | 61, 91 |
| abstract_inverted_index.notable, | 142 |
| abstract_inverted_index.receiver | 116 |
| abstract_inverted_index.services | 14 |
| abstract_inverted_index.wetlands | 16, 42, 106, 127, 135, 145 |
| abstract_inverted_index.400–600 | 152 |
| abstract_inverted_index.Northeast | 137 |
| abstract_inverted_index.functions | 12 |
| abstract_inverted_index.important | 177 |
| abstract_inverted_index.indicator | 74 |
| abstract_inverted_index.operating | 117 |
| abstract_inverted_index.potential | 33, 41, 66, 105, 126, 134, 144 |
| abstract_inverted_index.reference | 178 |
| abstract_inverted_index.simulated | 46 |
| abstract_inverted_index.wetlands, | 23 |
| abstract_inverted_index.wetlands. | 34 |
| abstract_inverted_index.Geographic | 139 |
| abstract_inverted_index.activities | 4 |
| abstract_inverted_index.advantages | 50 |
| abstract_inverted_index.geographic | 56 |
| abstract_inverted_index.management | 190 |
| abstract_inverted_index.scientific | 186 |
| abstract_inverted_index.simulating | 101 |
| abstract_inverted_index.simulation | 85 |
| abstract_inverted_index.algorithms. | 62, 92 |
| abstract_inverted_index.constructed | 88 |
| abstract_inverted_index.hydrologic, | 78 |
| abstract_inverted_index.integrating | 48 |
| abstract_inverted_index.semi-hydric | 155 |
| abstract_inverted_index.topographic | 82 |
| abstract_inverted_index.vegetation, | 80, 162 |
| abstract_inverted_index.concentrated | 148 |
| abstract_inverted_index.distribution | 31, 39, 103 |
| abstract_inverted_index.characteristic | 118 |
| abstract_inverted_index.precipitation, | 154 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5039177420 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 8 |
| corresponding_institution_ids | https://openalex.org/I19820366, https://openalex.org/I4210101301 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/13 |
| sustainable_development_goals[0].score | 0.4699999988079071 |
| sustainable_development_goals[0].display_name | Climate action |
| citation_normalized_percentile.value | 0.85105139 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |