Shenggong Li

Increase in precipitation intensity alleviates the negative impacts of nitrogen addition on ecosystem stability in a temperate grassland

Ya Liu, Guojiao Yang, Meihua Yang, Long Qian et autres

Changes in nitrogen (N) deposition and precipitation regime are widely recognized as key drivers of the structure and functioning of terrestrial ecosystems. Precipitation in semi-arid regions show a trend toward increasing precipitation intensity, however, how ecosystem stability responds to the combined changes …

cn (code pays fourni par la source)

Toward refining and contextualizing the root economics space

Liang Kou, Wanyu Zuo, Grégoire T. Freschet, Jiajia Zheng et autres

cn, fr, au (code pays fourni par la source)

Towards refining and contextualizing the root economics space

Liang Kou, Wanyu Zuo, Grégoire T. Freschet, Jiajia Zheng et autres

cn, fr, au (code pays fourni par la source)

菌根共生类型对森林养分内循环的调控作用

Di FANG, Ning MA, Shenggong Li, Jia-Jia ZHENG et autres

Impact of dietary selenium supplementation on growth performance, rumen fermentation, antioxidant profiles, and meat quality in lambs on a high-concentrate diet

Bibo Li, Shenggong Li, Long Cheng, Jiahao Li et autres

cn (code pays fourni par la source)

Spatial patterns and future potential of tree species richness and structural diversity in China’s forests

Changjin Cheng, Guoyi Zhou, Xuli Tang, Shaopeng Wang et autres

cn, hk, us (code pays fourni par la source)

Inter-Monthly Variations in CO2 and CH4 Fluxes in a Temperate Forest: Coupling Dynamics and Environmental Drivers

Chuying Guo, Fang Ke, Leiming Zhang, Shenggong Li

Climate change, driven largely by anthropogenic greenhouse gas emissions, is a major global issue. Long-term high-frequency measurements of gas fluxes remain limited, especially outside the growing season. This study addresses two key gaps: the absence of continuous annual data capturing diurnal and …

cn (code pays fourni par la source)

Root mixing effects on belowground decomposition depend on mycorrhizal type

Lei Jiang, Stephan Hättenschwiler, Ning Ma, Jiajia Zheng et autres

While there has been significant progress in understanding how species mixing affects leaf litter decomposition, the consequences for belowground root decomposition remains less known. This represents a critical knowledge gap, as roots are key contributors to soil carbon input. Here, we experimentally …

cn, fr, de (code pays fourni par la source)

Asymmetric responses of plant aboveground and belowground stoichiometry to precipitation in Tibetan alpine grasslands

Xiaoqing Duan, Guang Zhao, Nan Cong, Zhoutao Zheng et autres

Abstract Precipitation is a key climatic driver regulating plant nutrient stoichiometry, with significant implications for ecosystem function. However, the differential responses of aboveground and belowground plant components to precipitation variability remain poorly understood, especially in alpine ecosystems. We investigated carbon (C), nitrogen …

cn (code pays fourni par la source)

Sharp but consistent fungi species composition transition during a 40-yr urbanization in a subtropical city of China

Weimin Wang, Qun Guo, Wanyi Zhang, Liang Kou et autres

BACKGROUND: Rapid urbanization has profoundly impacted soil fungal dynamics and thus soil health, however, it remains poorly addressed due to lack of ideal experimental region. Taking Shenzhen of China, a megacity built within 30 years, as the study region, we analyzed the …

cn (code pays fourni par la source)

Substantial forest soil carbon accrual from absorptive fine roots over decadal timescales

Ning Ma, Shenggong Li, Michael McCormack, Grégoire T. Freschet et autres

cn, us, fr, au, ch (code pays fourni par la source)

Design and Application of a Full-Cycle Fertility Health Intelligent Management Platform Based on Large Language Models (Preprint)

Junhua Liu, Miaozhi Zhang, Wei Lin Wang, Hao Ying et autres

BACKGROUND Reproductive healthcare faces challenges in predictive accuracy, timely intervention, and equitable resource distribution. General-purpose large language models (LLMs) further lack the medical expertise required for clinical applications. This creates a critical need for specialized AI solutions to enhance precision and accessibility …