生物群落
桥接(联网)
遥感
生态学
背景(考古学)
灵活性(工程)
环境资源管理
概念框架
生态系统
特质
功能多样性
计算机科学
时间尺度
功能生态学
地理
数据科学
航程(航空)
应用生态学
遥感应用
生态系统多样性
环境科学
景观生态学
斑块动力学
生物圈
生态系统服务
概念模型
集合(抽象数据类型)
植物群落
特质理论
生物多样性
生态系统生态学
多样性(政治)
作者
José Miguel Cerda,Dylan Craven,Javier Lopatin
标识
DOI:10.5194/egusphere-egu26-15525
摘要
Understanding plant functional diversity across scales requires integrating field-based ecology and remote sensing, yet these disciplines differ in how traits are measured, and upscaled. We synthesized three decades of research to evaluate conceptual and methodological convergence between these disciplines. Our results reveal that field-based ecology has undergone longer conceptual development and covers a broader range of traits, while remote sensing has experienced rapid growth driven by technological advances. Despite these differences, both disciplines are increasingly converging on similar concepts. However, major gaps in empirical coverage persist across biomes in both disciplines. While vegetation-dominated ecosystems have been extensively studied, extreme ecosystems remain comparatively undersampled. Trait analyses demonstrate a broad conceptual flexibility in defining "functional traits", yet both disciplines converge on a core set (e.g., plant height, leaf area, and leaf nitrogen content), reflecting their central role in plant strategies and spectral detectability. Remote sensing approaches differ in whether functional diversity is inferred from spatially aggregated mixtures at the pixel or community level or from resolved individual plants. Our synthesis underscores the potential for methodological synergy. Harmonizing trait definitions, scaling assumptions, and computational steps is essential to building a unified, multiscale framework for monitoring functional diversity in the context of global change.
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