West African Management Coastal Initiative, Abraka, Nigeria.
Environ Monit Assess. 2011 Jul;178(1-4):39-51. doi: 10.1007/s10661-010-1669-z. Epub 2010 Sep 21.
Mangroves are known for their global environmental and socioeconomic value. Despite their importance, mangrove like other ecosystems is now being threatened by natural and human-induced processes that damage them at alarming rates, thereby diminishing the limited number of existing mangrove vegetation. The development of a spatial vulnerability assessment model that takes into consideration environmental and socioeconomic criteria, in spatial and non-spatial formats has been attempted in this study. According to the model, 11 different input parameters are required in modelling mangrove vulnerability. These parameters and their effects on mangrove vulnerability were selected and weighted by experts in the related fields. Criteria identification and selection were mainly based on effects of environmental and socioeconomic changes associated with mangrove survival. The results obtained revealed the dominance of socioeconomic criteria such as population pressure and deforestation, with high vulnerability index of 0.75. The environmental criteria was broadly dispersed in the study area and represents vulnerability indices ranging from 0.00-0.75. This category reflects the greater influence of pollutant input from oil wells and pipelines and minimal contribution from climatic factors. This project has integrated spatial management framework for mangrove vulnerability assessment that utilises information technology in conjunction with expert knowledge and multi-criteria analysis to aid planners and policy/ decision makers in the protection of this very fragile ecosystem.
红树林以其全球环境和社会经济价值而闻名。尽管它们很重要,但与其他生态系统一样,红树林现在正受到自然和人为过程的威胁,这些过程以惊人的速度破坏它们,从而减少了现有的有限数量的红树林植被。本研究尝试开发一种考虑环境和社会经济标准的空间脆弱性评估模型,以空间和非空间格式表示。根据该模型,在建模红树林脆弱性时需要 11 个不同的输入参数。这些参数及其对红树林脆弱性的影响是由相关领域的专家选择和加权的。标准的确定和选择主要基于与红树林生存相关的环境和社会经济变化的影响。所得结果表明,社会经济标准(如人口压力和森林砍伐)占主导地位,脆弱性指数高达 0.75。环境标准在研究区域内广泛分布,代表的脆弱性指数范围为 0.00-0.75。这一类别反映了来自油井和管道的污染物输入的更大影响,以及气候因素的最小贡献。该项目整合了红树林脆弱性评估的空间管理框架,利用信息技术结合专家知识和多标准分析,为规划者和政策/决策者保护这个非常脆弱的生态系统提供帮助。