Department of Biological Sciences, University of Bergen, Bergen, Norway.
Bjerknes Centre for Climate Research, University of Bergen, Bergen, Norway.
Sci Data. 2024 Feb 21;11(1):225. doi: 10.1038/s41597-024-02980-3.
Alpine grassland vegetation supports globally important biodiversity and ecosystems that are increasingly threatened by climate warming and other environmental changes. Trait-based approaches can support understanding of vegetation responses to global change drivers and consequences for ecosystem functioning. In six sites along a 1314 m elevational gradient in Puna grasslands in the Peruvian Andes, we collected datasets on vascular plant composition, plant functional traits, biomass, ecosystem fluxes, and climate data over three years. The data were collected in the wet and dry season and from plots with different fire histories. We selected traits associated with plant resource use, growth, and life history strategies (leaf area, leaf dry/wet mass, leaf thickness, specific leaf area, leaf dry matter content, leaf C, N, P content, C and N isotopes). The trait dataset contains 3,665 plant records from 145 taxa, 54,036 trait measurements (increasing the trait data coverage of the regional flora by 420%) covering 14 traits and 121 plant taxa (ca. 40% of which have no previous publicly available trait data) across 33 families.
高山草原植被支持着全球重要的生物多样性和生态系统,但这些生物多样性和生态系统正日益受到气候变暖及其他环境变化的威胁。基于特征的方法可以支持我们理解植被对全球变化驱动因素的响应,以及对生态系统功能的影响。在秘鲁安第斯山脉普纳草原的 1314 米海拔梯度的六个地点,我们在三年的时间里收集了关于维管植物组成、植物功能特征、生物量、生态系统通量和气候数据的数据集。这些数据是在湿季和干季以及具有不同火灾历史的样地中收集的。我们选择了与植物资源利用、生长和生活史策略相关的特征(叶面积、叶干/湿质量、叶厚度、比叶面积、叶干物质含量、叶 C、N、P 含量、C 和 N 同位素)。该特征数据集包含了 145 个分类群的 3665 个植物记录,54036 个特征测量值(将区域植物群的特征数据覆盖率提高了 420%),涵盖了 14 个特征和 121 个植物分类群(其中约 40%以前没有公开的特征数据),涉及 33 个科。