鄱阳湖区水-热-碳通量对2022年极端干旱事件的响应
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1.信江饶河水文水资源监测中心;2.鄱阳湖水文水资源监测中心;3.中国科学院南京地理与湖泊研究所;4.江西省水文监测中心

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江西省水利厅重点科技项目“鄱阳湖区水-热-碳通量的变化规律及影响机制研究”(编号:202325ZDKT15)


Response of Surface Water-Heat-Carbon Fluxes to Extreme Drought Event of Poyang Lake in 2022
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Nanjing Institute of Geography and Limnology

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    摘要:

    水—热—碳通量是反映湖泊生态系统水碳循环的重要指标,而干旱等极端环境条件如何影响水—热—碳过程有待进一步明晰。基于鄱阳湖湖泊湿地观测研究站的涡动相关仪观测数据,分析了2022年鄱阳湖水—热—碳通量的变化规律及对当年流域特大干旱事件的响应特征。结果表明:(1)在全年尺度上,潜热通量7—9月偏高,峰值出现在8月,年均值为49.5 W/m2。显热通量9—11月偏高,峰值出现在10月,年均值为10.6 W/m2。CO2通量呈明显的季节性变化,且碳源与碳汇伴随水位和净辐射等水文气象因素而转变,年均值为15.0 μmol·m-2·s-1。(2)在日尺度上,显热和潜热通量基本同步,为午间单峰,CO2通量为夜间单峰。(3)极端干旱事件通过改变能量分配格局,显著加剧了湿地生态系统的碳源效应。干旱期间,潜热通量、显热通量、CO2通量分别增至历史同期均值的1.23倍、1.78倍、5.44倍。(4)相关性分析表明,气温、风速、净辐射、降雨、相对湿度、NDVI和水位是影响水—热—碳通量的主要因子。逐步回归分析进一步揭示了不同时期和下垫面条件下各因子对通量的影响机制。极端干旱期间,下垫面为水体时,潜热通量、显热通量、CO2通量的影响因子重要性排序为:风速、气温>相对湿度>净辐射、水位;下垫面为洲滩时,潜热通量、显热通量、CO2通量的影响因子重要性排序为:气温>风速、风速>NDVI、气温>饱和水汽压差>降雨。极端干旱事件主要通过气温、风速、净辐射的增加而促使能量分配倾向于显热通量,并显著激发了CO2释放。本研究揭示了湖泊水—热—碳通量对极端气候事件的响应机制,为未来气候变化背景下湖泊生态系统的响应预测提供了科学依据。

    Abstract:

    Surface water-heat-carbon fluxes are critical indicators reflecting the water-carbon cycles in lake ecosystems under changing climates, yet the impact of extreme environmental conditions such as drought on these processes remains to be further clarified. Poyang Lake is the largest freshwater lake in China and an internationally important wetland. It is not only a key node for the regulation of water resources in the Yangtze River Basin, but also plays an important role in the global carbon cycle and water cycle. In 2022, a rare consecutive meteorological drought event occurred in the Poyang Lake Basin during the summer and autumn seasons, and the most severe drought since 1949 hit the lake area. In this study, the multi-year monitoring data from the eddy covariance instrument at the Poyang Lake Wetland Observation and Research Station were adopted. The station is located on the beach of Poyang Lake (29°27" N, 116°03" E), and it has been continuously monitoring the variation processes of the water-heat-carbon fluxes in the lake since 2015. This study analyzed the variation patterns of water-heat-carbon fluxes and their response characteristics to the extreme drought event in Poyang Lake, in 2022. The results showed that: (1) On an annual scale, the latent heat flux was relatively high from July to September, with the peak value occurring in August, and the annual average value was 49.5 W/m2. The sensible heat flux was relatively high from September to November, with the peak value occurring in October, and the annual average value was 10.6 W/m2. The CO? flux exhibited obvious seasonal variations, and the carbon source and carbon sink shifted with hydrometeorological factors such as water level and net radiation. The annual CO? flux average value was 15.0 μmol·m?2·s?1. (2) On a daily scale, the sensible heat and latent heat fluxes were basically synchronous, showing a single peak at noon, while the CO? flux had a single peak at night. (3) The extreme drought event significantly intensified the carbon source effect of the wetland ecosystem by changing the energy allocation pattern. During the drought period, the latent heat flux, sensible heat flux, and CO? flux increased to 1.23 times, 1.78 times, and 5.44 times of the average values in the same historical period, respectively. (4) The correlation analysis showed that air temperature, wind speed, net radiation, precipitation, relative humidity, NDVI, and water level were the main factors affecting the water-heat-carbon fluxes. The stepwise regression analysis further revealed the influence mechanisms of various factors on the fluxes under different periods and underlying surface conditions. During the extreme drought period, when the underlying surface was water body, the importance ranking of the influencing factors for the latent heat flux, sensible heat flux, and CO? flux was: wind speed, air temperature > relative humidity > net radiation, water level. When the underlying surface was the beach, the importance ranking of the influencing factors for the latent heat flux, sensible heat flux, and CO? flux was: air temperature > wind speed, wind speed > NDVI, air temperature > VPD > precipitation. The extreme drought event mainly promoted the energy allocation to the sensible heat flux through the increase of air temperature, wind speed, and net radiation, and significantly stimulated the CO? release. This study revealed the response mechanisms of water-heat-carbon fluxes in lakes to extreme climate events and provided a scientific basis for predicting the responses of lake ecosystems under future climate change scenarios.

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  • 收稿日期:2025-02-11
  • 最后修改日期:2025-05-08
  • 录用日期:2025-05-08
  • 在线发布日期: 2025-07-17
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