González Angélica L, Merder Julian, Andraczek Karl, Brose Ulrich, Filipiak Michał, Harpole W Stanley, Hillebrand Helmut, Jackson Michelle C, Jochum Malte, Leroux Shawn J, Nessel Mark P, Onstein Renske E, Paseka Rachel, Perry George L W, Rugenski Amanda, Sitters Judith, Sperfeld Erik, Striebel Maren, Zandona Eugenia, Aymes Jean-Christophe, Blanckaert Alice, Bluhm Sarah L, Doi Hideyuki, Eisenhauer Nico, Farjalla Vinicius F, Hood James, Kratina Pavel, Labonne Jacques, Lovelock Catherine E, Moody Eric K, Mozsár Attila, Nash Liam, Pollierer Melanie M, Potapov Anton, Romero Gustavo Q, Roussel Jean-Marc, Scheu Stefan, Scheunemann Nicole, Seeber Julia, Steinwandter Michael, Susanti Winda Ika, Tiunov Alexei, Dézerald Olivier
Department of Biology, Rutgers University, Camden, 08103, USA.
Center for Computational and Integrative Biology, Rutgers University, Camden, 08103, USA.
Sci Data. 2025 Apr 3;12(1):569. doi: 10.1038/s41597-025-04852-w.
The elemental content of life is a key trait shaping ecology and evolution, yet organismal stoichiometry has largely been studied on a case-by-case basis. This limitation has hindered our ability to identify broad patterns and mechanisms across taxa and ecosystems. To address this, we present StoichLife, a global dataset of 28,049 records from 5,876 species spanning terrestrial, freshwater, and marine realms. Compiled from published and unpublished sources, StoichLife documents elemental content and stoichiometric ratios (%C, %N, %P, C:N, C:P, and N:P) for individual plants and animals. The dataset is standardized and, where available, includes information on taxonomy, habitat, body mass (for animals), geography, and environmental conditions such as temperature, solar radiation, and nutrient availability. By providing an unprecedented breadth of organismal stoichiometry, StoichLife enables the exploration of global patterns, ecological and evolutionary drivers, and context-dependent variations. This resource advances our understanding of the chemical makeup of life and its responses to environmental change, supporting progress in ecological stoichiometry and related fields.
生命的元素组成是塑造生态和进化的关键特征,但生物化学计量学在很大程度上一直是基于个案进行研究的。这一局限性阻碍了我们识别跨分类群和生态系统的广泛模式及机制的能力。为解决这一问题,我们推出了StoichLife,这是一个全球数据集,包含来自5876个物种的28049条记录,涵盖陆地、淡水和海洋领域。StoichLife是从已发表和未发表的来源汇编而成的,记录了单个植物和动物的元素组成和化学计量比(%C、%N、%P、C:N、C:P和N:P)。该数据集经过标准化处理,并且在可行的情况下,包括分类学、栖息地、体重(针对动物)、地理以及温度、太阳辐射和养分可用性等环境条件方面的信息。通过提供前所未有的生物化学计量学广度,StoichLife能够探索全球模式、生态和进化驱动因素以及依赖于环境背景的变化。这一资源推动了我们对生命化学组成及其对环境变化反应的理解,支持了生态化学计量学及相关领域的进展。