Key Laboratory of Agro-ecological Processes in Subtropical Regions, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, 410125, China; Changsha Research Station for Agricultural and Environmental Monitoring, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, 410125, China; University of Chinese Academy of Sciences, Beijing, 10049, China.
College of Resources & Environment, Hunan Agricultural University, Changsha, 410128, China.
J Environ Manage. 2022 Aug 1;315:115164. doi: 10.1016/j.jenvman.2022.115164. Epub 2022 Apr 29.
The catchment phosphorus buffering capacity (PBF) determines the pressure-state-response relationship between anthropogenic P inputs and aquatic ecosystems at a catchment scale, and is affected by biogeochemical, hydrological, and ecological catchment characteristics. However, the complex relationship between these catchment characteristic factors and their impact pathways on PBF remains ambiguous, leading to large uncertainty in balancing agricultural productivity and water conservation via improving BF through management practices. In this study, the short-term buffering index, calculated from net anthropogenic P input and riverine P exports, was used to quantify the spatiotemporal variations in PBF in source agricultural catchments in the Dongting Lake basin. Partial least squares structural equation modeling was used to investigate the relationship between the PBF and the catchment characteristics. The results indicate that catchment PBF was directly determined by soil properties and hydrological conditions, while landscape patterns significantly mediated the effects of topography on soil and hydrology. Considering the pathway preferences of the model, landscape patterns could be the priority for characterizing and regulating PBF. According to a change-point analysis, the probability of PBF weakening increases dramatically when the proportion of farmland (Farm%) > 24.6%, degree of patch interspersion (Contagion index) < 64.5%, and Perimeter-Area Ratio Distribution (PARA) > 348.7. These findings provide new insights into catchment buffering mechanisms and can be used to promote the simultaneous achievement of agricultural production and environmental conservation goals.
集水区磷缓冲容量 (PBF) 决定了人为磷输入与集水区水生生态系统之间的压力-状态-响应关系,受生物地球化学、水文和生态集水区特征的影响。然而,这些集水区特征因素之间的复杂关系及其对 PBF 的影响途径仍不清楚,导致通过管理实践提高 BF 来平衡农业生产力和水资源保护存在很大的不确定性。在这项研究中,使用从净人为磷输入和河流磷输出计算得出的短期缓冲指数来量化洞庭湖流域源农业集水区 PBF 的时空变化。偏最小二乘结构方程模型用于研究 PBF 与集水区特征之间的关系。结果表明,集水区 PBF 直接由土壤性质和水文条件决定,而景观格局则显著调节了地形对土壤和水文的影响。考虑到模型的路径偏好,景观格局可能是表征和调节 PBF 的优先考虑因素。根据一个转折点分析,当农田比例 (Farm%) > 24.6%、斑块分散度 (Contagion index) < 64.5% 和周长-面积比分布 (PARA) > 348.7 时,PBF 减弱的概率会急剧增加。这些发现为集水区缓冲机制提供了新的见解,并可用于促进农业生产和环境保护目标的同时实现。