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    <responseDate>2026-10-14T14:47:08Z</responseDate>
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    <identifier>10.57760/sciencedb.41395</identifier>
    <datestamp>2026-09-10T14:03:26Z</datestamp>
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  <dc:date>2026-09-10</dc:date>
  <dc:title>Climate-Driven Distribution Modelling of the Glacial Apollo Butterfly (Parnassius glacialis) for Biodiversity Conservation</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.41395</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Elucidating climate change impacts on insect distributions is vital for biodiversity conservation, especially for narrowly distributed, ecologically vulnerable taxa. Parnassius glacialis (glacial Apollo), an alpine papilionid butterfly with high scientific and ornamental value, has rarely been studied for its climatic responses. We constructed an ensemble species distribution model based on 45 occurrence records and 10 bioclimatic variables to map its current and future suitable habitats across China and detect core environmental drivers. Modelling results showed seasonal temperature variation as the primary factor governing habitat suitability, with precipitation as the secondary driver. Current suitable habitats cluster in North, Southwest and East China, while future climate projections predict severe habitat loss and a centroid shift toward low‑elevation regions of Hubei Province; the migration magnitude differs across SSP scenarios, implying high climate vulnerability of this butterfly. Our results indicate severe range contraction risks for P. glacialis, and we propose targeted protected area construction, inclusion of insect responses in climate adaptation policies and long‑term ecological monitoring as conservation countermeasures. This work advances the understanding of climate-induced range shifts in montane butterflies and stresses the necessity of adaptive conservation under global warming. The dataset contains all raw input data and analytical outputs generated in this study.</dc:description>
  <dc:subject>Parnassius glacialis; climate change; species distribution modelling</dc:subject>
  <dc:creator>Yongli Wang</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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