The Global Spectra-Trait Initiative: A database of paired leaf spectroscopy and functional traits associated with leaf photosynthetic capacity

作者：Julien Lamour, Shawn Serbin, Alistair Rogers, Kelvin Acebron, Elizabeth A. Ainsworth, Loren P. Albert, Michael Alonzo, Jeremiah Anderson, Owen K. Atkin, Nicolas Barbier, Mallory L. Barnes, Carl J. Bernacchi, Ninon Besson, Angela C. Burnett, Joshua S. Caplan, Jérôme Chave, Alexander W. Cheesman, Ilona Clocher, Onoriode Coast, Sabrina Coste, Holly Croft, Boya Cui, Clément Dauvissat, Kenneth Davidson, Christopher E. Doughty, Kim Ely, Jean‐Baptiste Féret, Iolanda Filella, Claire Fortunel, Peng Fu, Maquelle Garcia, Bruno Gimenez, Kaiyu Guan, Zhengfei Guo, David Heckmann, Patrick Heuret, Marney E. Isaac, Shan Kothari, Etsushi Kumagai, Thu Ya Kyaw, Liangyun Liu, Lingli Liu, Shuwen Liu, Joan Llusià, Troy S. Magney, Isabelle Maréchaux, Adam R. Martin, Katherine Meacham‐Hensold, Christopher M. Montes, Romà Ogaya, Joy Ojo, R. C. Oliveira, Alain Paquette, Josep Peñuelas, Antonia Débora Lima Plácido, Juan M. Posada, Xiaojin Qian, Heidi Renninger, Milagros Rodríguez‐Catón, Andrés Rojas-González, Urte Schlüter, Giacomo Sellan, Courtney Siegert, Guangqin Song, Charles D. Southwick, Daisy C. Souza, Clément Stahl, Yanjun Su, Leeladarshini Sujeeun, To‐Chia Ting, Vicente Vásquez, Amrutha Vijayakumar, Marcelo Vilas-Boas, Diane Wang, Sheng Wang, Han Wang, Jing Wang, Xin Wang, Andreas P.M. Weber, Christopher Y. S. Wong, Jin Wu, Fengqi Wu, Shengbiao Wu, Zhengbing Yan, Dedi Yang, Yingyi Zhao · 年份：2025 · DOI：10.5194/essd-2025-213 · 被引用次数：2 · 研究领域：Remote Sensing in Agriculture、Leaf Properties and Growth Measurement、Species Distribution and Climate Change

Abstract. Accurate assessment of leaf functional traits is crucial for a diverse range of applications from crop phenotyping to parameterizing global climate models. Leaf reflectance spectroscopy offers a promising avenue to advance ecological and of robust hyperspectral models for predicting leaf photosynthetic capacity and associated traits from reflectance data has been hindered by limited data availability across species and environments. Here we introduce the Global Spectra-Trait Initiative (GSTI), a collaborative repository of paired leaf hyperspectral and gas exchange measurements from diverse ecosystems. The GSTI repository currently encompasses over 7500 observations from 397 species and 41 sites gathered from 36 published and unpublished studies, thereby offering a key resource for developing and validating hyperspectral models of leaf photosynthetic agricultural research by complementing traditional, time-consuming gas exchange measurements. However, the development capacity. The GSTI database is developed on GitHub (https://github.com/plantphys/gsti) and published to ESS-dive https://data.ess-dive.lbl.gov/datasets/doi:10.15485/2530733, Lamour et al., 2025). It includes gas exchange data, derived photosynthetic parameters, and key leaf traits often associated with traditional gas exchange measurements such as leaf mass per area and leaf elemental composition. By providing a standardized repository for data sharing and analysis, we present a critical step towards cr...