Impacts of Climate Change on Coastal Communities
Isahaque AliRameeja ShaikA. Y. MaruthiAzlinda AzmanParamjit Singh Jamir SinghJeremiah David BalaA. O. AdelekeMohd RafatullahNorli IsmailAkil AhmadKaizar Hossain
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Abstract:
Earth and coastal ecosystems are not static, and they usually respond to environmental changes, mostly anthropogenic and climatic. Here, the authors described natural values, coastal landforms, and types of infrastructure that are most likely to be affected by climate change (CC) and provide information for assessing inundation, erosion, and recession risks for a chosen location. In this chapter, the authors focused on the land uses, the vulnerability of coastal infrastructure, and argued for effective linkages between CC issues and development planning. They also recommended the incorporation of CC impact and risk assessment into long-term national development strategies. Policies will be presented to implement these recommendations for adaptation to climate variability and global CC. The authors provide general recommendations and identify challenges for the incorporation of climate change impacts and risk assessment into long-term land-use national development plans and strategies. Overall, this chapter provides an overview of the implications for CC to coastal management.Keywords:
Vulnerability
Coastal erosion
Landform
Identification
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This report documents the basic methodology of IIASA's GAINS model that has been used for comparing mitigation efforts across Annex I Parties.
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Land use science has traditionally used case-study approaches for in-depth investigation of land use change processes and impacts. Meta-studies synthesize findings across case-study evidence to identify general patterns. In this paper, we provide a review of meta-studies in land use science. Various meta-studies have been conducted, which synthesize deforestation and agricultural land use change processes, while other important changes, such as urbanization, wetland conversion, and grassland dynamics have hardly been addressed. Meta-studies of land use change impacts focus mostly on biodiversity and biogeochemical cycles, while meta-studies of socioeconomic consequences are rare. Land use change processes and land use change impacts are generally addressed in isolation, while only few studies considered trajectories of drivers through changes to their impacts and their potential feedbacks. We provide a conceptual framework for linking meta-studies of land use change processes and impacts for the analysis of coupled human–environmental systems. Moreover, we provide suggestions for combining meta-studies of different land use change processes to develop a more integrated theory of land use change, and for combining meta-studies of land use change impacts to identify tradeoffs between different impacts. Land use science can benefit from an improved conceptualization of land use change processes and their impacts, and from new methods that combine meta-study findings to advance our understanding of human–environmental systems.
Deforestation
Environmental change
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The purpose of this study is to make better understanding of the m ec hanism and cause of land use change deeply,anticipate the land use change patte rn in the future,and make relevant policies. Methods of documentation and compa rison were employed. The study point out the drawback of current land use change models,that is,how to model the land use driving force,how to syncretize the land use data,how to analyze the scale of the driving force and the natural fe edback mechanism of land use change. It is concluded that human factors,scales and regional factors need to be considered in future land use change models.
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기후변화에 대응하기 위한 정책 수립과 이행을 위해 온실가스 인벤토리 작성의 중요성이 대두되고 있다. 이에 따라, 토지이용 항목과 변화들에 대해 공간 명시적으로 나타낸 Approach 3 수준의 Land Use, Land-Use Change and Forestry(LULUCF) 매트릭스 구축 필요성이 제기되고 있다. 본 연구에서는 LULUCF 매트릭스의 산림 항목을 중심으로 연속지적도, 중분류 토지피복지도, 임상도, 도시생태현황지도를 활용하여 LULUCF 매트릭스 구축에 적합한 공간정보를 검토하였다. 각 공간정보에 대한 분류 속성 비교를 실시하였고 충청남도 보령시를 대상으로 양적(면적) 비교, 질적(특성) 비교를 실시하였다. 양적 비교 결과 산림의 면적이 임상도에서 최고 50.42%(303.79㎢), 지적도에서 최저 46.09%(276.65㎢)의 차이를 보였다. 질적 비교 결과 자료 구축 범위 차이, 자료 구축 목적 차이, 분류 항목 차이, 일필일목의 원칙 적용 여부의 차이, 자료구축 시기 차이 등 5가지 질적 특성의 차이를 확인하였다. 연구 결과 도시생태현황지도가 LULUCF 매트릭스 구축에 가장 적합한 공간 정보로 판단되었으나 전국구축이 되어있지 않은 한계로 토지피복지도가 가장 적합한 것으로 검토되었다. 또한, 도시생태현황지도, 임상도, 토지피복지도 등을 서로 종합하여 LULUCF 매트릭스를 구축하게 될 경우 각 공간정보의 한계를 보완할 수 있을 것으로 사료된다. 추후 전국토를 대상으로 하는 1:5,000 수준의 세분류 토지피복지도 및 도시생태현황지도가 완료 될 경우 LULUCF 매트릭스 작성의 정밀도를 향상시킬 수 있을 것으로 판단된다.
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