Scholarlink

<p>This perspective proposes a new wildfire risk prediction system by integrating plant functional traits with microwave-derived vegetation optical depth to detect critical moisture thresholds before ignition. By shifting from reactive, thermal-based detection to proactive, ecology-driven forecasting, this approach could enhance preparedness, guide targeted mitigation, and improve resource allocation globally and would help reduce wildfire impacts on biodiversity, infrastructure, and communities in an era of intensifying climate-driven fire risk.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Why the world needs a wildfire risk prediction system based on plant functional traits and moisture—before fires ignite

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年10月21日

查看全文
  • Shawkat I. Sohel,
  • Andrew R. Marshall

摘要

This perspective proposes a new wildfire risk prediction system by integrating plant functional traits with microwave-derived vegetation optical depth to detect critical moisture thresholds before ignition. By shifting from reactive, thermal-based detection to proactive, ecology-driven forecasting, this approach could enhance preparedness, guide targeted mitigation, and improve resource allocation globally and would help reduce wildfire impacts on biodiversity, infrastructure, and communities in an era of intensifying climate-driven fire risk.