Wang Guodong, Hu Nanlin, Hautier Yann, Middleton Beth, Wang Ming, Zhao Meiling, Meng Jingci, Ma Zijun, Liu Bo, Liu Yanjie, Jiang Ming
Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China.
University of Chinese Academy of Sciences, Beijing, China.
Glob Chang Biol. 2025 Jan;31(1):e70056. doi: 10.1111/gcb.70056.
Maintaining the stability of ecosystems is critical for supporting essential ecosystem services over time. However, our understanding of the contribution of the diverse biotic and abiotic factors to this stability in wetlands remains limited. Here, we combined data from a field vegetation survey of 725 herbaceous wetland sites in China with remote sensing information from the Enhanced Vegetation Index (EVI) from 2010 to 2020 to explore the contribution of biotic and abiotic factors to the temporal stability of primary productivity. We found that plant species richness directly contributed to stability on a national scale, but that this contribution differed among climate zones, hydrological regimes, and vegetation types. In addition, many abiotic factors, including soil properties, geographical location, and climate also contributed to stability. Piecewise structural equation modeling identified that soil properties, including soil pH, total nitrogen, and soil organic carbon, emerged as primary factors modulating ecosystem stability, both directly and indirectly by affecting species richness and vegetation type. Higher species richness and soil organic carbon were related to higher ecosystem stability in peatlands but less so in coastal and inland marshes. These findings enhance our ability to forecast how wetland ecosystems may respond to future environmental changes and biodiversity loss and can inform policy decisions related to ecosystem stability.
长期维持生态系统的稳定性对于支持基本的生态系统服务至关重要。然而,我们对湿地中各种生物和非生物因素对这种稳定性的贡献的理解仍然有限。在这里,我们将来自中国725个草本湿地站点的实地植被调查数据与2010年至2020年增强植被指数(EVI)的遥感信息相结合,以探讨生物和非生物因素对初级生产力时间稳定性的贡献。我们发现,植物物种丰富度在全国范围内直接促进了稳定性,但这种贡献在不同气候区、水文状况和植被类型之间存在差异。此外,许多非生物因素,包括土壤性质、地理位置和气候,也对稳定性有贡献。分段结构方程模型表明,土壤性质,包括土壤pH值、总氮和土壤有机碳,是调节生态系统稳定性的主要因素,它们通过影响物种丰富度和植被类型直接或间接地发挥作用。在泥炭地中,较高的物种丰富度和土壤有机碳与较高的生态系统稳定性相关,但在沿海和内陆沼泽中则不然。这些发现提高了我们预测湿地生态系统如何应对未来环境变化和生物多样性丧失的能力,并可为与生态系统稳定性相关的政策决策提供参考。