Matej Sarah, Weidinger Florian, Kaufmann Lisa, Roux Nicolas, Gingrich Simone, Haberl Helmut, Krausmann Fridolin, Erb Karl-Heinz
BOKU University Vienna, Institute of Social Ecology, Schottenfeldgasse 29, 1070, Vienna, Austria.
Sci Data. 2025 Mar 27;12(1):511. doi: 10.1038/s41597-025-04788-1.
Land use is intimately linked to key components of the Earth system, including the climate system, biodiversity and biogeochemical cycles. Advanced understanding of patterns and dynamics of land use is vital for assessing impacts on these system components and for developing strategies to ensure sustainability. However, thematically detailed data that enable the analyses of spatiotemporal dynamics of land use, including land-use intensity, are currently lacking. This study presents a comprehensive land-use data cube (LUIcube) that traces global land-use area and intensity developments between 1992 and 2020 annually at 30 arcsecond spatial resolution. It discerns 32 land-use classes that can be aggregated to cropland, grazing land, forestry, built-up land and wilderness. Land-use intensity is represented through the framework of Human Appropriation of Net Primary Production, which allows to quantify changes in NPP, respectively biomass flows, induced by land conversion and land-management. The LUIcube provides the necessary database for analyzing the role of natural and socioeconomic drivers of land-use change and its ecological impacts to inform strategies for sustainable land management.
土地利用与地球系统的关键组成部分密切相关,包括气候系统、生物多样性和生物地球化学循环。深入了解土地利用的模式和动态对于评估对这些系统组成部分的影响以及制定确保可持续性的战略至关重要。然而,目前缺乏能够分析土地利用时空动态(包括土地利用强度)的详细专题数据。本研究提出了一个综合土地利用数据立方体(LUIcube),它以30弧秒的空间分辨率逐年追踪1992年至2020年全球土地利用面积和强度的变化。它识别出32种土地利用类别,这些类别可汇总为农田、牧场、林业、建设用地和荒野。土地利用强度通过人类对净初级生产的占用框架来表示,该框架允许量化土地转换和土地管理引起的净初级生产变化,即生物量流动变化。LUIcube为分析土地利用变化的自然和社会经济驱动因素的作用及其生态影响提供了必要的数据库,以便为可持续土地管理战略提供信息。