{
  "abstract": "Ecological networks in arid regions face dual pressures from climate-driven hazards and inherent fragility. Traditional purely topological resilience assessments are inadequate under complex disturbances. Hence, we developed a “topology-hazard” coupled simulation framework, within which we used circuit theory to construct the ecological network and Python NetworkX to conduct node-removal attack simulations, and then employed random forest to identify the dominant drivers of resilience decay. Results show that: (1) the network comprises 141 ecological sources and 344 corridors, with high-importance nodes clustered in the southern Tianshan and core ecological source areas to the west and northeast, forming dual vulnerable zones highly susceptible to cascading failures; (2) topology-targeted attacks have a much lower collapse threshold (40.9%) than hazard-topology coupled attacks (74.5%), indicating that purely topological approaches underestimate resilience under simulated scenarios; (3) low-temperature stress yields the lowest collapse threshold (84.7%), whereas compound hazard stress yields the highest (98.5%), indicating that hazard action modes modulate resilience responses; (4) network density decay contributes 53.2% of resilience decline and transmissibility decay 26.3%, together accounting for 79.5% and confirming density loss as the dominant driver. Based on these findings, we propose a three-tier protection strategy that prioritizes “dual vulnerable units” to enable precise resource allocation for multi-hazard collaborative prevention and network optimization. This study innovatively constructs a “topology-hazard” coupled simulation framework, which advances quantitative resilience assessment for arid regions and offers a practical pathway for multi-hazard collaborative prevention and ecological network optimization.",
  "abstract_shown": true,
  "affiliations": [
    "School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China",
    "School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China; Corresponding author at: No. 35, Qinghua East Road, Haidian District, Beijing, China.",
    "School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China; School of Landscape Architecture and Art Design, Hunan Agricultural University, Hunan 410128, China"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 3,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Juqing Huang"
    },
    {
      "affs": [
        1
      ],
      "name": "Chi Li"
    },
    {
      "affs": [
        2
      ],
      "name": "Yini Zhu"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/87dj9m1ksqszq.bib",
  "cited_by": 0,
  "doi": "10.1016/j.ecolind.2026.115472",
  "fulltext_url": "http://www.sciencedirect.com/science/article/pii/S1470160X26008733",
  "id": "87dj9m1ksqszq",
  "issns": [
    "1470-160X",
    "1872-7034"
  ],
  "landing_url": "https://doi.org/10.1016/j.ecolind.2026.115472",
  "language": "en",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "lcc",
      "QH540-549.5"
    ],
    [
      "openalex",
      "2205|Infrastructure Resilience and Vulnerability Analysis"
    ]
  ],
  "openalex": "W7212224502",
  "pdf_url": null,
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-23",
  "publisher": "Elsevier",
  "ris": "https://research.draconitic.com/paper/87dj9m1ksqszq.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T13:43:20Z",
      "native_id": "7e3e038a9c4746d79dc980f8f04a66fc",
      "source": "doaj",
      "url": "https://doi.org/10.1016/j.ecolind.2026.115472"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "lcc:QH540-549.5",
      "subfield": "ecology"
    }
  ],
  "title": "Investigating ecological network resilience to cascading failures in drylands under multi-hazard attack simulations: A case study of the northern slope area of the Tianshan Mountains, Xinjiang, China",
  "title_text": "Investigating ecological network resilience to cascading failures in drylands under multi-hazard attack simulations: A case study of the northern slope area of the Tianshan Mountains, Xinjiang, China",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T13:43:20Z",
  "url": "https://research.draconitic.com/paper/87dj9m1ksqszq",
  "venue": "Ecological Indicators",
  "versions": []
}