Contrasting spatial variations between above and below-ground net primary productivity in global grasslands

作者：Ying Hu, Yue Yang, Yu Wei, Xiaozhen Li, Yue Jiao, Jiapei Liao, Ruiyu Fu, Limin Dai, Zhongmin Hu · 发表于：Ecological Indicators · 年份：2025 · DOI：10.1016/j.ecolind.2025.113083 · 被引用次数：6 · 研究领域：Rangeland Management and Livestock Ecology、Plant Ecology and Soil Science、Remote Sensing in Agriculture

• 4194 NPP sites combined with multidimensional data modeling. • Differences in NPP growth patterns under different precipitation conditions. • Increasing or decreasing trend of BNPP/ANPP under different climatic conditions. • Emphasizing multiple factors in predicting NPP. Grassland net primary productivity (NPP) plays a crucial role in global terrestrial carbon cycle and carbon balance. However, the spatial pattern and influencing factors of NPP and its components, especially the belowground net primary productivity (BNPP) remain unclear. This study compiled a dataset of 4194 field site measurements of NPP, ANPP and BNPP from 1940 to 2019, as well as climate, soil, geographic, and vegetation index data, to quantify the global patterns and potential mechanisms of the NPP and its components. Machine learning methods were used to identify the determinants of grassland productivity variables and to estimate global productivity at a 0.05° resolution. The results indicated that NPP and ANPP increased significantly along the precipitation gradient under various temperature conditions, particularly between 0 °C and 10 °C. While the BNPP/ANPP showed an opposite trend, highlighting a shift in biomass allocation from belowground to aboveground along the climate gradient. The relationship between NPP and temperature exhibited varying trends under different precipitation conditions. In drier regions (MAP < 500 mm), a threshold effect was observed, while in more humid regions (MAP > 500 ...