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引用本文:白姣杰,孟岑,李裕元,吴大付,王帅兵,孙占东,吴庆龙,吴金水.典型高原湖泊人类活动净氮磷输入时空变化及其影响因素——以云南星云湖为例.湖泊科学,2024,36(4):1110-1120. DOI:10.18307/2024.0424
Bai Jiaojie,Meng Cen,Li Yuyuan,Wu Dafu,Wang Shuaibing,Sun Zhandong,Wu Qinglong,Wu Jinshui.Spatiotemporal variation of net nitrogen and phosphorus input and its influencing factors in a typical plateau lake: A case study of Lake Xingyun, Yunnan Province. J. Lake Sci.2024,36(4):1110-1120. DOI:10.18307/2024.0424
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典型高原湖泊人类活动净氮磷输入时空变化及其影响因素——以云南星云湖为例
白姣杰1,2, 孟岑2,3, 李裕元2,3, 吴大付1, 王帅兵4, 孙占东3,5, 吴庆龙3,5, 吴金水2,3
1.河南科技学院资源与环境学院, 新乡 453000;2.中国科学院亚热带农业生态研究所亚热带农业生态过程重点实验室, 长沙 410125;3.中国科学院大学, 北京 100049;4.玉溪师范学院化学生物与环境学院, 玉溪 653100;5.中国科学院南京地理与湖泊研究所湖泊与环境国家重点实验室, 南京 210008
摘要:
星云湖作为人类农业生产活动影响下环境问题突出的代表性高原湖泊,其水体健康与生态平衡对于区域可持续发展至关重要。因此,量化解析星云湖流域人类活动净氮磷输入时空来源变化及影响因素对于流域管理和湖泊恢复具有重要意义。基于社会经济统计数据,采用人类活动净氮输入(NANI)、人类活动净磷输入(NAPI)模型量化星云湖流域NANI、NAPI强度。结果表明,1989-2020年研究区NANI、NAPI均值分别为(14614±2196)和(3135±452)kg/(km2·a),时间上呈现先上升后下降的变化趋势,且峰值出现在2015年,分别达到18076和3889 kg/(km2·a);空间分布上,除东部NANI、NAPI较低外,其余区域均较高;化肥和食物/饲料输入分别是NANI和NAPI的最大来源,占比分别为58.2%~63.8%和30.5%~59.5%。此外,基于模型选择和变量重要性分析发现,经济作物产量和畜禽密度是影响NANI、NAPI变化的最主要因素。因此,星云湖流域氮磷管控应从调整种植结构和模式等控源措施入手,加快经济模式转型。本研究结果可为星云湖流域建立有效的氮磷综合管理措施提供科学依据。
关键词:  人类活动净氮输入  人类活动净磷输入  高原湖泊  星云湖  乡镇尺度  农业活动影响
DOI:10.18307/2024.0424
分类号:
基金项目:国家自然科学基金区域创新发展联合基金项目(U23A2015)和中国科学院战略性先导科技专项(A类)(XDA23020600)联合资助。
Spatiotemporal variation of net nitrogen and phosphorus input and its influencing factors in a typical plateau lake: A case study of Lake Xingyun, Yunnan Province
Bai Jiaojie1,2, Meng Cen2,3, Li Yuyuan2,3, Wu Dafu1, Wang Shuaibing4, Sun Zhandong3,5, Wu Qinglong3,5, Wu Jinshui2,3
1.College of Resources and Environment, Henan University of Science and Technology, Xinxiang 453000, P. R. China;2.Key Laboratory for Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, P. R. China;3.University of Chinese Academy of Sciences, Beijing 100049, P. R. China;4.School of Chemical Biology and Environment, Yuxi Normal University, Yuxi 653100, P. R. China;5.State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Acdemy of Sciences, Nanjing 210008, P. R. China
Abstract:
Lake Xinyun is a typical plateau lake with severe environmental problems due to agricultural activities. Its water environment and ecological conditions are crucial for sustainable development of surrounding regions. Therefore, quantifying the spatio-temporal variations of anthropogenic nitrogen and phosphorus inputs, and their influencing factors are important for lake restoration and basin management. Based on socio-economic statistical data, the human activity-based Net Anthropogenic Nitrogen and Phosphorus Inputs (NANI and NAPI) models were used to quantify the NANI and NAPI intensities in the Lake Xingyun Basin. The results showed that the mean values of NANI and NAPI in the study area during 1989-2020 were (14614±2196) and (3135±452) kg/(km2·a), respectively. They exhibited an upward trend followed by a downward trend over time, with peak values of 18076 and 3889 kg/(km2·a) occurring in 2015. In terms of spatial distribution, NANI and NAPI were relatively high except some low values in the eastern region. Fertilizer and food/feed inputs were identified as the largest sources of NANI and NAPI, accounting for 58.2%-63.8% and 30.5%-59.5%, respectively. Furthermore, based on model selection and variable importance analysis, economic crop yield and livestock density were found to be the most significant factors affecting the changes of NANI and NAPI. Therefore, to control nitrogen and phosphorus loss in Lake Xingyun Basin, it is needed to implement several source-control strategies such as adjusting planting structures and patterns, and accelerating transformation of economic models. The results of this study can provide a scientific basis for establishing effective comprehensive nitrogen and phosphorus management measures in Lake Xingyun Basin.
Key words:  Net anthropogenic nitrogen inputs  net anthropogenic phosphorus inputs  plateau lake  Lake Xinyun  town scale  impact of agricultural activities
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