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),国家自然科学基金项目“面向全球变化的陆表蒸散遥感反演通解理论方法研究”(编号:42230112),国家自然科学基金项目“含迟滞效应的非参数化蒸散计算方法研究”(编号:51879255)


Response of surface water-heat-carbon fluxes to 2022 extreme drought in Lake Poyang
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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,潜热通量在7—9月偏高,峰值出现在8月,年均值为49.5 W/m2;显热通量在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/(m2·s)。(2)在日尺度上,显热通量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、显热通量和CO2通量分别增至历史同期均值的1.23、1.78和5.44倍。(4)相关性分析表明,气温、风速、净辐射、降雨、相对湿度、归一化植被指数和水位是影响水—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>归一化植被指数>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 and carbon fluxes are critical indicators of the water and carbon cycles in lake ecosystems in a changing climate. However, the impact of extreme environmental conditions, such as drought, on these processes is not fully understood. Lake Poyang, the largest freshwater lake in China, is also an internationally important wetland. It is not only a key node for regulating water resources in the Yangtze River Basin, but also plays an important role in the global carbon and water cycles. In 2022, consecutive meteorological drought events occurred in the Lake Poyang Basin during the summer and autumn, and the lake area experienced its most severe drought since 1949. This study adopted multi-year monitoring data from the eddy covariance instrument at the Lake Poyang Wetland Observation and Research Station. Located on the beach of Lake Poyang (29°27'N, 116°03'E), the station has continuously monitored the variation processes of water, heat and carbon fluxes in the lake since 2015. This study analyzed the variation patterns of the water, heat and carbon fluxes, and how they responded to the extreme drought event in Lake Poyang in 2022. The results showed that: (1) On an annual scale, the latent heat flux was relatively high from July to September, peaking in August, with an annual average of 49.5 W/m2. The sensible heat flux was relatively high from September to November, peaking in October, with an annual average value of 10.6 W/m2. The CO2 flux exhibited obvious seasonal variations, with the carbon source and carbon sink shifting in response to hydrometeorological factors such as the water level and net radiation. The annual average value of the CO2 flux was 15.0 μmol/(m2·s). (2) On a daily scale, the sensible and latent heat fluxes were essentially synchronous, exhibiting a single peak at noon, whereas the CO2 flux exhibited a single peak at night. (3) The extreme drought event significantly intensified the carbon source effect of the wetland ecosystem by altering the pattern of energy allocation. During the drought period, the latent heat flux, sensible heat flux and CO2 flux increased to 1.23, 1.78 and 5.44 times the average values for the same historical period, respectively. (4) Correlation analysis revealed that air temperature, wind speed, net radiation, precipitation, relative humidity, normalized difference vegetation index (NDVI) and water level were the main factors influencing the water-heat-carbon fluxes. Stepwise regression analysis further revealed the mechanisms by which various factors influenced the fluxes under different periods and underlying surface conditions. During the extreme drought period when the underlying surface was a body of water, the ranking of importance of the influencing factors for latent heat flux, sensible heat flux and CO2 flux was as follows: wind speed > air temperature > relative humidity > net radiation > water level. When the underlying surface was a beach, the ranking of importance of the influencing factors for latent heat flux, sensible heat flux and CO2 flux was as follows: air temperature > wind speed > NDVI > vapor pressure deficit > precipitation. The extreme drought event primarily promoted energy allocation to sensible heat flux by increasing air temperature, wind speed and net radiation, and significantly stimulated CO2 release. This study revealed the response mechanisms of water-heat-carbon fluxes in lakes to extreme climate events, providing a scientific basis for predicting the responses of lake ecosystems to future climate change.

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  • 收稿日期:2025-02-11
  • 最后修改日期:2025-12-16
  • 录用日期:2025-05-08
  • 在线发布日期: 2025-07-17
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