基于景观连通性与水位响应关系的适宜生态水位确定——以鄱阳湖为例

IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Cheng Zhang , Wenbo Chen , Fangfang Huang
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引用次数: 0

摘要

水位是反映湖泊水文状况的重要指标,其时空变化对生境质量和生物多样性保护有着深远的影响。如何确定适宜的生态水位一直是生态水文学研究的热点问题。本研究以鄱阳湖为例,从生境角度出发,首次运用变异幅度法(RVA)对鄱阳湖自然水位动态进行分析。然后,在确定不同水位草地和水体分布格局的基础上,应用连通概率(PC)分析草地和水体连通性的动态变化。最后,根据草地连通性、水连通性和水位之间的响应关系,将自然水位状态修正为适宜的生态水位。结果表明:(1)鄱阳湖水位的年变化呈显著的单峰分布,4 ~ 9月为汛期高水位,10 ~次年3月为枯水期低水位。2000 - 2020年,年水位最高可达7月的22.63 m,最低可达2月的7.12 m。(2)草地和水体构成鄱阳湖湿地的主要生境。在水文过程的扰动下,它们分别呈现出“一缩一展”和“一裂一连”的独特动态权衡关系。随着水位的增加,草地连通性急剧下降,而水连通性逐渐增加。(3)适宜生态水位年需水量为14.82 ~ 15.65 m。雨季适宜生态水量阈值为14.82 ~ 16.96 m,旱季适宜生态水量阈值为11.75 ~ 14.82 m。1 ~ 12月适宜生态水位阈值依次为:9.89 ~ 14.82 m、9.99 ~ 14.82 m、12.12 ~ 14.82 m、13.29 ~ 14.82 m、14.82 ~ 15.69 m、14.82 ~ 14.86 m、14.82 ~ 16.12 m、14.82 ~ 15.13 m、14.82 ~ 16.46 m、14.65 ~ 14.82 m、12.38 ~ 14.82 m、10.31 ~ 14.82 m。本文为湖泊适宜生态水位的确定提供了新的视角和创新方法,可以更好地指导湖区水文调控、生境管理和生物多样性保护。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determining the suitable ecological water level based on the response relationship between landscape connectivity and water level: A case study of Poyang Lake, China
Water level is an important indicator of hydrological regime of lake, and its spatio-temporal variation has a profound impact on habitat quality and biodiversity conservation. How to determine the suitable ecological water level has long been a hot issue in ecohydrology research. Taking Poyang Lake as a case and from the perspective of habitat, this study firstly used the range of variability approach (RVA) to analyze the natural water level regime of the lake. Then, the probability of connectivity (PC) was applied to analyze the dynamics of grassland connectivity and water connectivity after identifying the distribution pattern of grassland and water body at different water levels. Finally, the natural water level regime was corrected to the suitable ecological water level based on the response relationship between grassland connectivity, water connectivity and water level. The results showed as follows: (1) The annual variation of water level in Poyang Lake showed a significant unimodal distribution, with high water level in flood season from April to September and low water level in dry season from October to March of the following year. The annual water level can reach the highest of 22.63 m in July and the lowest of 7.12 m in February from 2000 to 2020. (2) The grassland and water body constitute the main habitats of Poyang Lake wetland. Under the disturbance of hydrological process, they presented the unique dynamic tradeoff relationships of “One shrinks while the other expands” and “One is fragmented while the other is connected”, respectively. With the increase of water level, grassland connectivity decreased dramatically while water connectivity increased progressively. (3) The annual demand for suitable ecological water level is 14.82–15.65 m. In the wet season, the threshold of suitable ecological water is 14.82–16.96 m, while it is 11.75–14.82 m in the dry season. The threshold of monthly suitable ecological water level from January to December is successively as follows: 9.89–14.82, 9.99–14.82, 12.12–14.82, 13.29–14.82, 14.82–15.69, 14.82–14.86, 14.82–16.12, 14.82–15.13, 14.82–16.46, 14.65–14.82, 12.38–14.82 and 10.31–14.82 m. This thesis proposes a new perspective and innovative approach for determining the suitable ecological water level of lakes, which can better guide hydrological regulation, habitat management and biodiversity conservation in lake areas.
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来源期刊
Ecological Indicators
Ecological Indicators 环境科学-环境科学
CiteScore
11.80
自引率
8.70%
发文量
1163
审稿时长
78 days
期刊介绍: The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.
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