Supporting data for “From individual to continent: informing trait-based ecology with remotely sensed foliar functional traits and functional diversity”

This dataset comprises three primary data files containing comprehensive information on canopy spectra, leaf traits, environmental variables, and associated ecological measurements across multiple sites. The purpose of this dataset is to provide valuable insights into the relationships between vegetation spectral properties and functional traits, which play a critical role in understanding ecosystem functions and dynamics, particularly under changing environmental conditions.The first dataset, "2021_Canopy_spectra_and_traits.csv," includes data collected from various sampling sites in 2021. It contains measurements of canopy spectra and associated leaf traits, providing detailed spectral readings at specific wavelengths along with trait data such as nitrogen content, leaf mass per area (LMA), and chlorophyll content. This dataset is instrumental for researchers looking to analyze how different spectral properties correspond to particular leaf traits, offering a high-resolution perspective into canopy-level ecological functions.The second dataset, "Trait_v11_Rs_v7_30m_EVImask01_ts06_weekly_mean_Env_v2_LC_filter_interp.csv," provides a broader context by including trait data alongside environmental variables at a higher spatial resolution. Weekly measurements, obtained through enhanced vegetation index (EVI) masking, provide insights into the temporal dynamics of different traits across diverse ecosystems. This dataset is ideal for exploring temporal patterns in vegetation traits and assessing the impact of environmental factors on trait variation over time.The third dataset, "data.csv," supplements the analysis by focusing on environmental and trait-related data across multiple study locations. It contains information such as land cover type, soil classification, radiation, and precipitation, along with key functional traits, offering a more comprehensive overview of the ecosystems studied. By integrating these data files, this dataset allows for the investigation of trait-environment interactions and provides the foundational data needed for building predictive ecological models.These data files together enable a multifaceted understanding of the spatial and temporal variability in vegetation traits, facilitating research that spans from the individual tree-crown level to landscape scales. Researchers can use this dataset to better understand the ecological mechanisms underlying vegetation dynamics and the role of functional diversity in ecosystem resilience and productivity.

本数据集由三个主要数据文件组成，全面包含了多个站点关于冠层光谱、叶片性状、环境变量及其相关生态测量的信息。该数据集旨在提供关于植被光谱属性与功能性状之间关系的宝贵见解，这些性状在理解生态系统功能与动态中扮演着至关重要的角色，尤其是在环境条件变化的情况下。第一个数据集“2021_Canopy_spectra_and_traits.csv”收集了2021年多个采样点的数据，包含了冠层光谱及其相关叶片性状的测量，提供了特定波长的详细光谱读数以及氮含量、叶片面积比（LMA）和叶绿素含量等性状数据。该数据集对于研究人员分析不同光谱属性如何对应特定叶片性状具有重要意义，为冠层级生态功能提供了高分辨率视角。第二个数据集“Trait_v11_Rs_v7_30m_EVImask01_ts06_weekly_mean_Env_v2_LC_filter_interp.csv”通过包括更高空间分辨率的环境变量和性状数据，提供了更广泛的背景信息。通过增强植被指数（EVI）掩膜获得的每周测量数据，为不同生态系统中不同性状的时间动态提供了洞见。该数据集非常适合探索植被性状的时间模式并评估环境因素随时间对性状变化的影响。第三个数据集“data.csv”通过聚焦于多个研究地点的环境和性状相关数据，补充了分析。它包含了土地覆盖类型、土壤分类、辐射和降水等信息，以及关键功能性状，为所研究的生态系统提供了一个更全面的概述。通过整合这些数据文件，本数据集使得对性状-环境交互作用的研究成为可能，并为构建预测生态模型提供了基础数据。这些数据文件共同使得对植被性状的空间和时间变异性有了多角度的理解，促进了从单个树冠水平到景观尺度的研究。研究人员可以利用本数据集更好地理解植被动态背后的生态机制以及功能多样性在生态系统弹性和生产力中的作用。