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Strengthening the scientific evidence base of a new climate agreement
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作者 Gisbert Glaser 《Ecosystem Health and Sustainability》 SCIE 2015年第9期18-22,共5页
Ahead of the forthcoming global intergovernmental climate meeting in Paris,scientists met in Paris in July at a large scientific conference calling for an ambitious agreement aimed at holding global warming to 2℃.Wit... Ahead of the forthcoming global intergovernmental climate meeting in Paris,scientists met in Paris in July at a large scientific conference calling for an ambitious agreement aimed at holding global warming to 2℃.With agriculture,forestry,and other land use contributing 24%of total greenhouse gas(GHG)emissions(2000-2009),there is potential for significant ecosystem-based mitigation benefits.Similarly,maintaining healthy ecosystems represents,in many situations,the most efficient way of adaptation.This paper highlights some scientific aspects,as presented at the conference,related to ecosystem-based adaptation and mitigation.It calls for enhanced cooperation between scientists,policy makers,and other stakeholders. 展开更多
关键词 adaptation agriculture climate change ECOSYSTEMS international agreements mitigation science–policy links stakeholder cooperation sustainable development
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Exploring link generation in a temporal evolution network for human mobility
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作者 SHI Yan SUN WangDong +3 位作者 CHEN Bin ZHOU XiaoJuan CHEN ShanZhi WANG ShengFeng 《Science China(Technological Sciences)》 SCIE EI CAS CSCD 2016年第1期16-21,共6页
The prevalence of mobile devices has spurred human mobility to be applied in mobile networking and communications by using network science, in which the temporal evolution of a network topology is of great importance ... The prevalence of mobile devices has spurred human mobility to be applied in mobile networking and communications by using network science, in which the temporal evolution of a network topology is of great importance for protocol design and performance analysis. This paper focuses on link generation in a temporal evolution network. Based on observations revealing the strong correlation between the connection patterns of different time periods, a link generation potential based on historical connections is proposed in this paper, aiming to provide a method for making topological predictions with less randomness. Using MIT Reality dataset, an evaluation of the accuracy of the proposed method was conducted. The experimental results demonstrate the proposal's adequacy in terms of its accuracy. 展开更多
关键词 link generation temporal evolution network connection human mobility network science
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