{
  "abstract": "Desertification poses a significant threat to humanity’s long-term survival and sustainable development. In this study, four types of 2D desertification assessment models were created by integrating surface albedo with four vegetation-related indicators: NDVI, MSAVI, EVI, and solar-induced chlorophyll fluorescence (SIF). A comprehensive analysis of the spatiotemporal variations in desertification on the Qinghai-Tibetan Plateau (QTP) from 2001 to 2020 was then conducted. Among the four models, the SA-SIF model demonstrated the highest overall accuracy (0.8675; 95% CI: 0.8512–0.8838) and Kappa coefficient (0.8452; 95% CI: 0.8289–0.8615), significantly outperforming the other three models (p < 0.01, McNemar’s test). The SA-SIF model’s mapping results revealed substantial regional variability in desertification on the QTP, with the degree of desertification decreasing from northwest to southeast. Over the past decade, the expansion of severe and extremely severe desertification on the QTP has shown signs of slowing, although future trends may become more complex due to the interplay of climatic and anthropogenic factors. The SA-SIF model can serve as a reference for future desertification control operations on the QTP.",
  "abstract_shown": true,
  "affiliations": [
    "College of Mathematics and Computer, Xinyu University, Xinyu, China",
    "Key Laboratory of Poyang Lake Wetland and Watershed Research Ministry of Education/Postdoctoral Research Station of Chemistry, Jiangxi Normal University, Nanchang, China",
    "The School of Geography and Environment, Jiangxi Normal University, Nanchang, China"
  ],
  "article_type": "Research Article",
  "arxiv": null,
  "author_total": 5,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Zhijian Zhao"
    },
    {
      "affs": [
        1
      ],
      "name": "Hui Lin"
    },
    {
      "affs": [
        2
      ],
      "name": "Lei Wu"
    },
    {
      "name": "Linling Tang"
    },
    {
      "name": "Xin Xiao"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/ajfn32n733tvb.bib",
  "cited_by": 0,
  "doi": "10.1371/journal.pone.0359348",
  "fulltext_url": null,
  "id": "ajfn32n733tvb",
  "issns": [
    "1932-6203"
  ],
  "landing_url": "https://doi.org/10.1371/journal.pone.0359348",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "2303|Remote Sensing in Agriculture"
    ],
    [
      "plos",
      "/Biology and life sciences/Physiology/Plant physiology"
    ],
    [
      "plos",
      "/Biology and life sciences/Plant science/Plant physiology"
    ],
    [
      "plos",
      "/Biology and life sciences/Psychology/Behavior/Animal behavior/Grazing"
    ],
    [
      "plos",
      "/Biology and life sciences/Zoology/Animal behavior/Grazing"
    ],
    [
      "plos",
      "/Earth sciences/Atmospheric science/Climatology/Albedo"
    ],
    [
      "plos",
      "/Earth sciences/Atmospheric science/Meteorology"
    ],
    [
      "plos",
      "/Earth sciences/Geography"
    ],
    [
      "plos",
      "/Earth sciences/Seasons"
    ],
    [
      "plos",
      "/Ecology and environmental sciences/Drought"
    ],
    [
      "plos",
      "/Ecology and environmental sciences/Environmental impacts/Desertification"
    ],
    [
      "plos",
      "/Physical sciences/Astronomical sciences/Planetary sciences/Albedo"
    ],
    [
      "plos",
      "/Social sciences/Psychology/Behavior/Animal behavior/Grazing"
    ]
  ],
  "openalex": "W7214339598",
  "pdf_url": "https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0359348&type=printable",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-25",
  "publisher": "Public Library of Science",
  "ris": "https://research.draconitic.com/paper/ajfn32n733tvb.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:43Z",
      "native_id": "10.1371/journal.pone.0359348",
      "source": "plos",
      "url": "https://doi.org/10.1371/journal.pone.0359348"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "plos:animal behavior",
      "subfield": "zoology-behaviour"
    }
  ],
  "title": "Mapping and dynamic monitoring of desertification on the Qinghai-Tibetan Plateau using surface Albedo and Solar-Induced Chlorophyll Fluorescence",
  "title_text": "Mapping and dynamic monitoring of desertification on the Qinghai-Tibetan Plateau using surface Albedo and Solar-Induced Chlorophyll Fluorescence",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:43Z",
  "url": "https://research.draconitic.com/paper/ajfn32n733tvb",
  "venue": "PLOS One",
  "versions": []
}