Wu Hao, Jiao Xinyi, Wang Yucang, Wang Mingfeng, Zhou Jia, Wu Kaibin, Chen Dingjiang
College of Environmental & Resource Sciences, Zhejiang University, Hangzhou 310058, China.
College of Environmental & Resource Sciences, Zhejiang University, Hangzhou 310058, China; Ministry of Education Key Laboratory of Environment Remediation and Ecological Health, Zhejiang University, Hangzhou 310058, China; Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, Zhejiang University, Hangzhou 310058, China.
Sci Total Environ. 2024 Jul 10;933:172991. doi: 10.1016/j.scitotenv.2024.172991. Epub 2024 May 6.
Many studies have found predictive relationships between riverine phosphorus (P) export and net anthropogenic P inputs (NAPI) at the watershed scale, but the global or regional extent of these relationships has not been empirically quantified. Herein, we present a data-driven global assessment of the response of riverine total P (TP) fluxes to NAPI based on 358 watersheds. NAPI exhibited high spatial heterogeneity (2-12,085 kg P km yr) and was well correlated with riverine TP fluxes. Riverine TP export fractions of NAPI were primarily regulated by NAPI components, hydroclimate factors, and land-use as determined through a random-forest meta-analysis. In watersheds dominated by disturbed land-use (e.g., agricultural and developed lands), runoff emerged as pivotal climate-related factors influencing riverine export fractions of NAPI. In watersheds dominated by natural land-use, runoff, precipitation and temperature were identified as the most critical factors. We developed a mixed-effects meta-regression model (R = 0.63-0.70, RMSE = 19-78 %, n = 87-202) to examine the quantitative relationship between riverine TP fluxes and NAPI, which avoids subjectivity in selecting influencing factors and regression forms. The model estimated that legacy P contributed 14-17 % of annual riverine TP fluxes in Chinese watersheds, 25 % in North American watersheds and 11-27 % in European watersheds. Annual NAPI contributions to annual riverine TP flux were 83-86 % in China, 75 % in North America and 73-89 % in Europe. The model forecasted 52-67 %, 69-71 % and 74-77 % reductions in riverine TP fluxes across Chinese, North American, and European watersheds by 2050 under five shared socio-economic pathway scenarios compared to 2010 baseline conditions, respectively. This study provides a straightforward and reliable method for quantifying anthropogenic P input and riverine P export dynamics within an acceptable error range. It provides guidance for developing phosphorus pollution control strategies to counter potential increases in phosphorus inputs due to expected changes in climate and land use.
许多研究已在流域尺度上发现河流磷(P)输出与人为净磷输入(NAPI)之间的预测关系,但这些关系在全球或区域范围内的程度尚未得到实证量化。在此,我们基于358个流域,对河流总磷(TP)通量对NAPI的响应进行了数据驱动的全球评估。NAPI表现出高度的空间异质性(2 - 12,085千克磷/平方千米·年),并且与河流TP通量密切相关。通过随机森林元分析确定,NAPI的河流TP输出分数主要受NAPI组成部分、水文气候因素和土地利用的调节。在以扰动土地利用为主的流域(如农业和开发土地),径流成为影响NAPI河流输出分数的关键气候相关因素。在以自然土地利用为主的流域,径流、降水和温度被确定为最关键的因素。我们开发了一个混合效应元回归模型(R = 0.63 - 0.70,RMSE = 19 - 78%,n = 87 - 202)来研究河流TP通量与NAPI之间的定量关系,该模型避免了选择影响因素和回归形式时的主观性。该模型估计,在中国流域,遗留磷占河流年TP通量的14 - 17%,在北美流域为25%,在欧洲流域为11 - 27%。NAPI对河流年TP通量的年贡献在中国为83 - 86%,在北美为75%,在欧洲为73 - 89%。该模型预测,与2010年基线条件相比,在五个共享社会经济路径情景下,到2050年中国、北美和欧洲流域的河流TP通量将分别减少52 - 67%、69 - 71%和74 - 77%。本研究提供了一种直接且可靠的方法,可在可接受的误差范围内量化人为磷输入和河流磷输出动态。它为制定磷污染控制策略提供了指导,以应对因预期的气候和土地利用变化而可能增加的磷输入。