基于三维模型的滨海湿地生态系统健康多尺度时空评估以江苏盐城为例

Multi-Scale Temporal and Spatial Assessment of Coastal Wetland Ecosystem Health Based on Three-Dimensional Model: A Case Study of Yancheng, Jiangsu

  • 摘要: 融合遥感与实地调查数据,构建了一个整合外部要素(External Factors)、内部要素(Internal Factors)和生态要素(Ecological Factors)三个维度,具有突出空间异质性的滨海湿地生态系统健康(Coastal Wetland Ecosystem Health, CWEH)评价模型。该模型核心特色在于充分考虑空间尺度效应对评价结果的影响,旨在建立一个普适性强且能准确反映滨海湿地健康状况的多尺度综合评价框架。本文以江苏盐城滨海湿地为研究区开展实证研究,评估了该区域1992年至2020年的生态健康状况及其时空演变趋势。研究结果表明:2020年研究区内CWEH结果良好,且具有明显的空间异质性;不同CWEH状态区的比例按降序排列为:最好占55.4%、好占25.7%、普通占17.1%、差占1.8%、最差占比为0%。在4个时期中,1992年、2000年、2012年和2020年研究区生态健康评价结果分别为0.55、0.54、0.52和0.50,呈现持续下降趋势。其中自然保护区内外CWEH存在明显差异,保护区内部CWEH明显高于外部。在100~500 m的空间尺度变化中,整个研究区的CWEH随着空间尺度增大而逐渐下降;在100 m空间尺度下,研究结果与空间异质性特征的呈现效果最佳。在影响因素上,人类影响(Human Interference)、景观格局(Landscape Pattern)和生态系统生产力(Ecosystem Productivity)是影响CWEH最主要的因素。1992—2020年,人类活动和海岸侵蚀强度增加(Coastal Erosion)导致CWEH降低,而沿岸堤防和自然保护区建设(Nature Reserve Construction)则改善了部分地区的CWEH。由于自然因素的影响不断减弱,人类活动成为CWEH空间变化的主要驱动因素。

     

    Abstract: By integrating remote sensing and field survey data, a Coastal Wetland Ecosystem Health (CWEH) assessment model was constructed, integrating external, internal, and ecological factors, with significant spatial heterogeneity. A key feature of this model is its comprehensive consideration of spatial scale effects on assessment results, aiming to establish a universal, multi-scale, comprehensive assessment framework that accurately reflects the health of coastal wetlands. This study, focusing on the Yancheng coastal wetlands in Jiangsu Province, assessed the ecological health status and its spatiotemporal trends from 1992 to 2020. The results showed that the CWEH results within the study area in 2020 were favorable, with significant spatial heterogeneity. The proportion of areas with different CWEH statuses, in descending order, was as follows: 55.4% for the best, 25.7% for good, 17.1% for fair, 1.8% for poor, and 0% for the worst. The ecological health assessment results for the study area were 0.55, 0.54, 0.52, and 0.50 in 1992, 2000, 2012, and 2020, respectively, showing a continuous downward trend. Significant differences in CWEH were observed between the inside and outside of the nature reserve, with CWEH significantly higher inside than outside. At spatial scales of 100 to 500 m, CWEH for the entire study area gradually decreased with increasing spatial scale; the results at the 100 m scale best demonstrated spatial heterogeneity. Human interference, landscape pattern, and ecosystem productivity were the most significant factors influencing CWEH. From 1992 to 2020, human activities and increased coastal erosion led to a decrease in CWEH, while coastal embankment and nature reserve construction improved CWEH in some areas. As the influence of natural factors continues to weaken, human activities have become the main driving force of the spatial variation of CWEH.

     

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