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<p>Global development relies on vast and expanding road networks, yet the global distribution of the wildlife mortality they cause remains poorly quantified. Here we show, using researcher-led surveys, global citizen-science records and a high-resolution national dataset for China, that wildlife-vehicle collisions disproportionately burden biodiversity in low- and middle-income countries. After standardising for species pools and sampling effort, low- and middle-income countries bear a heavier roadkill burden than high-income countries, with the strongest disparities reaching 2–4-fold for threatened vertebrates but much weaker contrasts for non-threatened species. This reflects elevated collision rates among threatened fauna rather than a broader list of affected species. In China, the same pattern unfolds along a land-use intensity gradient: transformed landscapes elevate risk for common generalists while progressively filtering threatened taxa from the roadscape. Overall, expanding transport networks concentrate contemporary collision burden on threatened biodiversity in low- and middle-income countries.</p>

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Global inequality in roadkill burden concentrates collision risk on threatened species in low- and middle-income countries

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年7月1日

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  • Yuhang Li,
  • Zixi Zhao,
  • Xinmiao Chen,
  • Kai Wang,
  • Haozhong Si,
  • Linyou Gu,
  • Zhenqi Wang,
  • Jiahua Xing,
  • Feng Xu,
  • Yang Liu,
  • Zhongqiu Li

摘要

Global development relies on vast and expanding road networks, yet the global distribution of the wildlife mortality they cause remains poorly quantified. Here we show, using researcher-led surveys, global citizen-science records and a high-resolution national dataset for China, that wildlife-vehicle collisions disproportionately burden biodiversity in low- and middle-income countries. After standardising for species pools and sampling effort, low- and middle-income countries bear a heavier roadkill burden than high-income countries, with the strongest disparities reaching 2–4-fold for threatened vertebrates but much weaker contrasts for non-threatened species. This reflects elevated collision rates among threatened fauna rather than a broader list of affected species. In China, the same pattern unfolds along a land-use intensity gradient: transformed landscapes elevate risk for common generalists while progressively filtering threatened taxa from the roadscape. Overall, expanding transport networks concentrate contemporary collision burden on threatened biodiversity in low- and middle-income countries.