论文标题
预测全球消费的生态结果
Predicting the ecological outcomes of global consumption
论文作者
论文摘要
映射实现可持续发展目标的途径需要理解和预测社会,经济和政治因素如何影响生物多样性。人口统计学,经济增长,区域联盟和消费行为的趋势可以通过推动资源使用和生产来对环境产生深远的影响。尽管这些遥远的社会经济驱动因素在全球范围内影响物种和生态系统,例如,通过驱动温室气体排放和气候变化,人类对生物多样性的最普遍影响通过栖息地损失和土地使用变化在更细的尺度上表现出来。我们提供了第一个综合的生态经济分析途径,能够支持国家政策设计挑战和全球规模评估,以评估由人口增长,消费和贸易等社会经济驱动因素带来的生物多样性风险。为了实现这一目标,我们提供了经济,土地使用和生物多样性建模的最新整合,并使用两个案例研究来说明其应用。我们评估了越南鸟类生物多样性的多边自由贸易协定下的贸易状况变化的国家水平含义。我们回顾了对澳大利亚耦合的社会经济(共享社会经济途径)和气候(资源集中途径)情景,对土地利用和生物多样性的影响。我们的研究提供了一个路线图,用于建立高维综合分析的敌人,以评估全球优先事项,以保护自然和生计的弱势群体,其经济,社会和环境机会最大的冲突。
Mapping pathways to achieving the sustainable development goals requires understanding and predicting how social, economic and political factors impact biodiversity. Trends in demography, economic growth, regional alliances and consumption behaviours can have profound effects on the environment by driving resource use and production. While these distant socio-economic drivers impact species and ecosystems at global scales, for example by driving greenhouse gas emissions and climate change, the most prevalent human impacts on biodiversity manifest through habitat loss and land use change decisions at finer scales. We provide the first integrated ecological-economic analysis pathway capable of supporting both national policy design challenges and global scale assessment of biodiversity risks posed by socio-economic drivers such as population growth, consumption and trade. To achieve this, we provide state-of-the-art integration of economic, land use, and biodiversity modelling, and illustrate its application using two case studies. We evaluate the national-level implications of change in trading conditions under a multi-lateral free trade agreement for the bird biodiversity of Vietnam. We review the implications for land-use and biodiversity under coupled socio-economic (Shared Socioeconomic Pathways) and climate (Resource Concentration Pathways) scenarios for Australia. Our study provides a roadmap for setting up high dimensional integrated analyses foe evaluating global priorities for protecting nature and livelihoods in vulnerable areas with the greatest conflicts for economic, social and environmental opportunities.