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鄱阳湖典型洪泛湿地生态系统时空尺度分析
Current Status Investigation and Spatio-temporal Analysis of Typical Floodplain Wetland Ecosystems in Poyang Lake
鄱阳湖洪泛湿地生态系统在调节长江流域水文、维系生物多样性等方面具有不可替代的作用,但受气候变化与人类活动复合影响导致湿地水质退化、植被群落结构劣化等问题凸显,亟待开展系统性研究。基于综合水质指数、Pinkas相对重要性指数等方法,在典型洪泛湿地选取6个监测点位,系统分析湿地生态时空分异特征。研究表明:①水质时空分异显著,水质污染物时间上呈现“丰水期稀释-枯水期富集”、空间上呈现“中部劣、上下部优”规律,整体水质均达到“好”程度;土地利用格局变化引发枯水期水质劣化、西部农田扩张与水质劣变区空间耦合。②2024年植被覆盖度较2023年增长38%,但高密度植被区消失,中值区缩减12.7%,底栖动物物种受到人类活动与水文期的复合影响。③鄱阳湖洪泛湿地存在水质污染失衡、生物群落结构退化与生态功能衰减、土地利用冲突与生态功能失衡3个问题。
[Objective] The Poyang Lake floodplain wetland ecosystem plays an irreplaceable role in regulating the hydrology of the Yangtze River Basin and maintaining biodiversity. However, due to the combined effects of climate change and human activities, problems such as water quality deterioration and vegetation community degradation have become increasingly prominent, highlighting the urgent need for systematic investigation. This study aims to address two core scientific questions by constructing a multi-element collaborative analytical framework: (1) to reveal the spatiotemporal change patterns and driving mechanisms of wetland water quality under the dual stress of climate change and human activities; (2) to analyze the combined impact of hydrological regime shifts and land use pattern changes on vegetation community structure and benthic species communities. [Methods] This study integrated multi-source data fusion and spatiotemporal coupling analysis techniques. Six typical monitoring sites were selected, covering three types of habitats: dish-shaped lake areas, tailing areas, and flood detention areas. Water quality parameters (e.g., DO and TP, six indicators in total) and benthic species data were obtained through continuous observations during three hydrological periods (normal, flood, and dry seasons) in 2024. Remote sensing image interpretation was used to obtain land use changes and vegetation conditions. Based on water quality index (WQI), Pinkas’ index of relative importance (IRI), and other methods, the spatiotemporal change characteristics of the wetland ecosystems were systematically analyzed. [Results] (1) The WQI of the Poyang Lake floodplain wetlands was influenced by both temporal and spatial scales. Temporally, it exhibited a migration pattern of pollutants characterized by “dilution in the flood season and enrichment in the dry season”. Spatially, it exhibited a gradient pattern of “poorer conditions in the upper and middle reaches and better conditions in the lower reaches”, with the best water quality observed in the dish-shaped lake areas, while the overall wetland water quality reached the “good” level (60<WQI≤80). Changes in land use patterns led to water quality deterioration during the dry season, and the expansion of farmland in the western region was spatially coupled with areas of water quality deterioration. (2) The vegetation community structure of the Poyang Lake floodplain wetlands deteriorated from 2023 to 2024. The high-density vegetation coverage area (NDVI≥0.7) nearly disappeared in 2024, and the area of the medium-density zone (0.2≤NDVI<0.5) decreased by 12.7%. Vegetation degradation was significant, while overall vegetation coverage increased by 38%. The benthic species communities were significantly influenced by hydrological conditions. Except during the dry season, there were notable interannual variations in the dominant benthic species. Spatially, it was affected by human activities, with community distribution in areas of frequent human activities being lower than that in natural ecological areas. [Conclusion] This study identifies three types of ecological problems in the Poyang Lake floodplain wetlands. The first is the “water quality imbalance under the combined effects of hydrological regimes and human activities”, characterized by significant seasonal variations in pollutants, following a pattern of “dilution in the flood season and enrichment in the dry season”. The second is “degradation of biological community structure and decline in ecological functions”, characterized by deterioration of vegetation community structure, disappearance of high-density areas, reduction of medium-density areas, and lower biomass of benthic species in areas with frequent human activities compared with natural ecological areas. The third is “conflict between land use and ecological functions”, characterized by adverse changes in land cover, forming a positive feedback chain of “farmland encroachment-non-point source pollution-vegetation degradation”. A coordinated governance system of “hydrological regulation-ecological restoration-social participation” is proposed to address these three types of problems. In future, the monitoring scope can be further expanded, and long-term research on the response of wetland ecology to climate change can be strengthened to provide more comprehensive scientific support for sustainable wetland management in the context of the Yangtze River protection strategy.
鄱阳湖 / 洪泛湿地 / 水质 / 生态系统 / 时空变化 / 湿地可持续管理 / 长江大保护
Poyang Lake / floodplain wetland / water quality / ecosystem / spatio-temporal changes / sustainable management of wetlands / Yangtze River Great Protection
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受自然因素变化和人类活动的双重影响,近年来鄱阳湖出现了极端的洪枯水文情势。2020年汛期鄱阳湖最高水位突破历史极值,2022年鄱阳湖出现历史罕见的“汛期反枯”现象,多站出现历史最低水位。极端的洪枯水文情势给湖区乃至长江下游地区防汛抗旱工作带来了严重影响。为应对新水沙及气候条件下鄱阳湖流域洪旱灾害,根据鄱阳湖流域水文、大气环流资料和三峡工程运行信息,对上述2次极端洪枯事件进行总结分析。 结果表明: 厄尔尼诺和拉尼娜现象下副热带高压影响降雨、湖区出入流是鄱阳湖出现极端洪枯水文情势的主要原因,长江上游干支流水库调节也对极端洪枯水文情势产生了一定影响。研究成果有助于提升鄱阳湖流域水旱灾害应对能力。
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Affected by natural factors and human activities, extreme hydrological conditions have emerged in Poyang Lake in recent years. During the flood season of 2020, Poyang Lake’s highest water level broke historical records. Conversely, in 2022, Poyang Lake experienced an unusual “drought during flood season”, with multiple stations registering their lowest water levels ever. These extreme hydrological conditions have significantly impacted flood control and drought relief in the lake area and even the downstream regions of the Yangtze River. This study summarizes and analyzes extreme flood and drought events based on hydrological and atmospheric circulation data from the Poyang Lake basin and operational records of the Three Gorges Project. The primary cause of these extreme hydrological conditions in Poyang Lake is the subtropical anticyclone, which, under the influence of El Ni o and La Ni a phenomena, affects inflow, outflow, and rainfall within the lake basin. Additionally, the regulation of main and branch reservoirs in the upper reaches of the Yangtze River also influences these extreme flood and drought hydrological situations. In response to these findings and the practical needs of Poyang Lake, this paper proposes corresponding countermeasures and recommendations to enhance the flood and drought disaster resilience of the Poyang Lake basin. |
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洪水风险图绘制是防洪减灾工程措施中的一种重要方法,不但可以有效的减轻洪水带来的灾害损失,而且可以为及时掌握洪水灾情提供预测,本文运用GIS反演技术,建立水力学洪水演进模型进行洪水风险分析,对蓄滞洪区进行危险程度分区,并计算不同运用情况下的洪水淹没范围,经过渲染后的图层叠加获得鄱阳湖蓄滞洪区洪水风险图,鄱阳湖蓄滞洪区风险图的绘制将为各级水利防汛指挥机构的抗洪抢险救灾行动提供决策依据,也为合理的制定和实施蓄滞洪区长效管理机制提供科学依据。
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In order to grasp timely the variation of water ecological environment in Poyang Lake,the surface water samples were collected from eleven sampling sites in Poyang Lake in Apr., Aug. and Dec. of 2017. The physicochemical parameters of water quality in each period were analyzed. The water quality and eutrophication level were evaluated by single factor index and comprehensive nutrient status index. The results indicate that physicochemical parameters were significantly different in temporal and spatial in Poyang Lake, and the overall water quality was Ⅴ standard. The water quality was the worst in the dry season, and relatively better in the wet season. In different periods, the content of pH, DO, CODMn, NH+4-N of water at various points met or exceeded Ⅲ class water quality standard, but TN and TP were mostly Ⅳ or Ⅴ standards. The present nutrition status in the flat water period and wet season of Poyang Lake was mesotrophic and the transition to mild eutrophication. In the three periods, the water areas from Hukou to Pingfeng and from Duchang to Tangyin were generally mildly eutrophic, while the water areas from Xingzi to Duchang was mesotrophic.
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Increased anthropogenic nutrient input and losses has caused eutrophication problems in freshwater and coastal ecosystems worldwide. High-frequency observations and modeling of river fluxes in subtropical regions are required to understand nutrient cycling and predict water quality and ecological responses. In 2014, a normal hydrologic year, we carried out daily sampling of the North Jiulong River in southeast China, which drains an agricultural watershed and experiences the Asian monsoon climate. We focused on the distinct characteristics of two important inorganic nitrogen forms (ammonium and nitrate). Our results show contrasting hydrological controls on the seasonal timing and magnitude of ammonium and nitrate concentrations and loads, likely due to differing sources and transport pathways (surface runoff versus baseflow) to the river. Both nitrogen concentrations were enriched in the dry season and diluted in the wet season. Arrival of rains in the pre-wet period in March caused a "first flush" peak event with the highest concentrations of the year, during which ammonium peaked two weeks earlier than nitrate. In contrast, the majority of nitrogen transport occurred during the lower concentrations of the wet season, with seven storms inducing flood events that lasted 24% of the time, contributed 52% of the runoff, and exported 47% of the ammonium and 42% of the nitrate. We found that seasonally piecewise LOADEST models (for pre-wet, wet and post-wet periods) performed better (5-8% error) than a year-round model (12-24% error) in estimating monthly nitrogen loads. However, not all nitrogen dynamics are easily synthesized by this approach, and extreme floods might produce a greater deviation in estimating nitrogen loads. These findings represent important implications for coastal ecology and provide opportunity on improving observation and modeling.Copyright © 2018 Elsevier Ltd. All rights reserved.
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Lakes play a crucial role in retaining water and altering biogeochemical processes on floodplains. Existing strategies and algorithms for estimation of water storage are insufficient for dynamic floodplain lakes due to the scarcity of available observations. Combining a time series of open water area with a fine spatial-temporal resolution by integrating Landsat and MODIS observations of Poyang Lake (China) with digital elevation models, and limited gauge data, generated water storage estimates as a function of surface hydrological connectivity. Despite possessing a relatively small portion of Poyang Lake’s water volume, the floodplain lakes occupy a large part of the surface water area, especially in the low water period. Floodplain lakes, in particular, those distributed in the upper delta contribute to relieving drought conditions in Poyang Lake.
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