{
  "abstract": "Compound hot–dry events (CHDEs) increasingly threaten vegetation growth, but whether urban environments amplify or buffer vegetation responses to such extremes remains unclear. This study examined urban–rural contrasts in vegetation responses by integrating standardized enhanced vegetation index (EVI) anomalies with resistance and recovery metrics during the 2022 CHDE over the Yangtze River Basin (YZB) in China. Our results show that the CHDE caused widespread declines in EVI across the YZB, but urban vegetation showed weaker declines than rural vegetation and croplands, together with a smaller damaged area and higher resistance among affected pixels. By contrast, post-event recovery showed little difference among land-use types. This indicates that the lower decline of urban vegetation during the CHDE was mainly associated with reduced damage during the stress period rather than enhanced recovery after stress. Urban–rural differences were associated with several climatic, environmental, and urbanization-related factors. Our findings highlight the need to explicitly consider urban vegetation in compound climate-extreme impact assessments and to strengthen adaptive management under intensifying heat and water stress.",
  "abstract_shown": true,
  "affiliations": [
    "Nanjing University"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 5,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Zhihan Zhao",
      "orcid": "0009-0002-3408-2799"
    },
    {
      "affs": [
        0
      ],
      "name": "Bo Qiu",
      "orcid": "0000-0001-9688-3095"
    },
    {
      "affs": [
        0
      ],
      "name": "Jiuyi Chen",
      "orcid": "0000-0003-3202-785X"
    },
    {
      "affs": [
        0
      ],
      "name": "Yueyang Ni"
    },
    {
      "affs": [
        0
      ],
      "name": "Chen Chen",
      "orcid": "0009-0000-1122-5924"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/af4t5m47fetgj.bib",
  "cited_by": 0,
  "doi": "10.1088/1748-9326/aeb435",
  "fulltext_url": null,
  "id": "af4t5m47fetgj",
  "issns": [
    "1748-9326"
  ],
  "landing_url": "https://iopscience.iop.org/article/10.1088/1748-9326/aeb435",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "2303|Remote Sensing in Agriculture"
    ]
  ],
  "openalex": "W7221782662",
  "pdf_url": "https://iopscience.iop.org/article/10.1088/1748-9326/aeb435/pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-22",
  "publisher": "IOP Publishing",
  "ris": "https://research.draconitic.com/paper/af4t5m47fetgj.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:20:55Z",
      "native_id": "10.1088/1748-9326/aeb435",
      "source": "crossref",
      "url": "https://iopscience.iop.org/article/10.1088/1748-9326/aeb435"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "openalex:2303|Remote Sensing in Agriculture",
      "subfield": "ecology"
    }
  ],
  "title": "Urban vegetation experienced less damage than rural vegetation during the 2022 compound hot–dry event in eastern China",
  "title_text": "Urban vegetation experienced less damage than rural vegetation during the 2022 compound hot–dry event in eastern China",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:20:55Z",
  "url": "https://research.draconitic.com/paper/af4t5m47fetgj",
  "venue": "Environmental Research Letters",
  "versions": []
}