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Geospatial assessment of ecosystem health of coastal urban wetlands in Ghana

机译:加纳沿海城市湿地生态系统健康的地理空间评估

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A comprehensive assessment of ecosystem health of wetlands is needed to guide protection and restoration activities. However, the conventional methods used in evaluating ecosystem health of wetlands largely rely on field observational data which often do not provide spatio-temporal perspectives to the assessment. Geospatial assessment of remotely sensed data has enormous potentials for assessing ecosystem health of wetlands at different temporal and spatial scales. This study employed geospatial techniques to assess ecosystem health of Densu Delta, Sakumo II and Muni-Pomadze Ramsar Sites over a 32-year period using structure, function and resilience indicators. Landsat satellite images of 1985, 2002 and 2017 were obtained for this study. Analytic hierarchy process (AHP) was used to weight the indicators. The importance of the ecosystem health indicators in decreasing order was as follows: Structure Resilience Function. The findings of the study also indicated that ecosystem health of the wetlands progressively deteriorated in 2002 and 2017 compared to the reference year of 1985. In 2002, the Densu Delta experienced the least decline (11.8%) from the 1985 state among the three wetlands and Sakumo II recorded the highest deterioration (38.0%). Unlike 2002, in 2017 the health of the Densu Delta experienced the worse deterioration (46.3%) whereas Sakumo II recorded the least decline (26.2%). Ecosystem health of Muni-Pomadze Ramsar Site deteriorated at a similar magnitude, 27.0% and 29.1% in 2002 and 2017, respectively. The critical underlying factor for the degradation of the wetlands is urbanization largely due to increase in human population which led to the expansion of built-up areas in the wetlands, fragmentation of natural land use and land cover (LULC) classes and reduction of vegetation cover.
机译:需要综合评估湿地生态系统健康,以指导保护和恢复活动。然而,用于评估湿地生态系统健康的常规方法在很大程度上依赖于现场观测数据,这通常不会向评估提供时空视角。远程感测数据的地理空间评估具有评估不同时间和空间尺度的湿地生态系统健康的巨大潜力。本研究采用了使用结构,功能和弹性指标在32年期间评估Densu Delta,Sakumo II和Muni-Pomadze Ramsar站点的生态系统健康的地理空间技术。为本研究获得了1985年的Landsat卫星图像,2002年和2017年。分析层次过程(AHP)用于重量指标。生态系统健康指标在减少顺序下的重要性如下:结构>弹性>功能。该研究的调查结果还表明,与1985年的参考年度相比,2002年和2017年湿地的生态系统健康逐渐恶化。2002年,DESU Delta在三个湿地之间的1985年州的趋势最少(11.8%) Sakumo II记录了最高恶化(38.0%)。与2002年不同,2017年,DENSU DERATA的健康状况越来越严重(46.3%),而Sakumo II记录的最少下降(26.2%)。 Muni-Pomadze Ramsar网站的生态系统健康状况恶化,分别在2002年和2017年的同类幅度下降了27.0%和29.1%。湿地退化的关键潜在因素主要是由于人口的增加,导致湿地的建筑区域扩大,天然土地利用和陆地覆盖(LULC)课程和植被覆盖的碎片。

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