Spatio-temporal Landuse/Landcover Dynamics in the Coastal Areas of Limbe and Douala IV Municipalities and Implications on Wetland Regulating Ecosystem Services

Aminkeng Lucienne Fuanyi, T. E. Sunjo, Balgah Sounders
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Abstract

Globally, wetlands are ecological hot spots and as a result they supply a plethora provisioning, regulating, supporting and cultural services. Despite their functions, wetlands continue to degrade arising from urban developments (population growth and housing developments, road infrastructural developments, urban agricultures and usage of wetlands as dumpsites). These activities operate via land use/land cover changes at different scales in different areas depending on technology and needs of the population. This paper describes the implications of spatio-temporal land use/ land cover (LULC) dynamics in the Limbe I and III Municipality (L1&3Ms) and Douala IV Municipality (D4M) coastal areas from 1986 to 2022 on wetland ecosystem services. This research made use of Geographic Information System (GIS) technique in describing the land use/cover changes in the study areas. Primary data was obtained through field observations, questionnaires and ground truthing aim at confirming the observations on downloaded satellite imageries. Four Satellite images of different years (1986, 1999, 2013 and 2022) were downloaded from the United State Geologic Survey (USGS) Earth Explorer. Images were imported into Erdas Imagine, 2014 where preprocessing was done and Supervised Classification was adopted for the processing of the image to generate a raster format depicting the designed land cover/land uses; especially the wetlands which constituted one of the themes. Maps were generated to show changes in land use/cover which were transposed into tables and figures to show the trends in magnitude of changes, percentage of change and the rate of change. Within 36 years (1986-2022) built-up increased by 0.75km2 (0.36%) and 1.63km2 (0.45%) while wetlands retreated by -0.2km2 (-.96%) and -0.48km2 (-0.14%) in L1&3M and D4M respectively. Annually, wetlands decreased by - 97.04km2 and -191.54km2 while settlements/infrastructures increased by 294.33km2 and 644.46km2 over the same 36 year periods in L1&3Ms and D4M respectively. Base on wetland regulating services, changes in LULC has exposes neighbourhoods in L1&3Ms to flood vulnerability comprising the vulnerable, less vulnerable, least vulnerable and most vulnerable areas as opposed to two categories of neighbourhoods in D4M (most vulnerable neighbourhood’s and the less vulnerable neighbourhoods). Information on changes in land use-land cover is crucial in delineating impacted areas, understand the type of changes, their spatial patterns and the need for formulating proper urban planning and environmental preservation policies as well as updating these policies with time. GIS analysis of 1986, 1999, 2013, and 2022, indicated that, there have been significant modifications in observed LULC classes (forest cover, farmland and built-up land uses) over L1&3Ms and D4M.
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林贝和杜阿拉 IV 市沿海地区的时空土地利用/地表覆盖动态及其对湿地调节生态系统服务的影响
在全球范围内,湿地是生态热点,因此它们提供了大量的供给、调节、支持和文化服务。尽管湿地具有这些功能,但由于城市发展(人口增长和住房开发、道路基础设施建设、城市农业以及将湿地用作垃圾场),湿地仍在不断退化。根据技术和人口需求的不同,这些活动在不同地区通过不同规模的土地利用/土地覆被变化发挥作用。本文介绍了 1986 年至 2022 年期间,林贝第一和第三市(L1&3Ms)以及杜阿拉第四市(D4M)沿海地区的时空土地利用/土地覆盖(LULC)动态对湿地生态系统服务的影响。这项研究利用地理信息系统(GIS)技术描述了研究区域的土地利用/覆盖变化。原始数据通过实地观察、问卷调查和地面实况调查获得,目的是确认下载的卫星图像上的观察结果。从美国地质调查局(USGS)的地球探索者网站下载了四幅不同年份(1986 年、1999 年、2013 年和 2022 年)的卫星图像。图像被导入 2014 年的 Erdas Imagine,并在其中进行了预处理,在处理图像时采用了监督分类法,以生成栅格格式,描绘所设计的土地覆盖/土地利用情况,特别是湿地,这构成了其中的一个主题。生成的地图显示了土地利用/覆盖的变化,并将其转换成表格和数字,以显示变化幅度、变化百分比和变化率的趋势。在 36 年内(1986-2022 年),L1&3M 和 D4M 的建筑面积分别增加了 0.75 平方公里(0.36%)和 1.63 平方公里(0.45%),而湿地面积则分别减少了-0.2 平方公里(-0.96%)和-0.48 平方公里(-0.14%)。在相同的 36 年间,湿地面积每年分别减少-97.04 平方公里和-191.54 平方公里,而在 L1&3Ms 和 D4M,居住区/基础设施面积每年分别增加 294.33 平方公里和 644.46 平方公里。在湿地调节服务的基础上,土地利用、土地利用变化和土地利用类型的变化使 L1 和 L3Ms 的居民区更容易受到洪水的影响,这些居民区包括易受影响区、较不容易受影响区、最不容易受影响区和最容易受影响区,而 D4M 的居民区则分为两类(最容易受影响的居民区和较不容易受影响的居民区)。有关土地利用-土地覆盖变化的信息对于划定受影响地区、了解变化类型及其空间模式、制定适当的城市规划和环境保护政策的必要性以及随着时间的推移更新这些政策至关重要。对 1986 年、1999 年、2013 年和 2022 年的地理信息系统分析表明,观察到的土地利用、土地覆被等级(森林植被、农田和建筑用地)在 L1 和 3Ms 以及 D4M 上发生了显著变化。
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