气候变化和人类活动对黄河三角洲植被动态变化的影响

黄河三角洲是我国暖温带最完整、面积最大的湿地生态系统,其植被变化对于黄河三角洲生态功能和生态安全具有重要意义.本研究基于植被覆盖度(fractional vegetation cover,FVC)、叶面积指数(leaf area index,LAI)、净初级生产力(net primary productivity,NPP)3个生态参数,分析了2000-2017年黄河三角洲地区植被的动态变化,并以NPP为指标量化分析了气候变化和人类活动对植被生产力的贡献.研究发现,2000-2017年黄河三角洲FVC(Slope=0.004,p<0.05)、LAI(Slope=0.011,p<0.05)、NPP(Slope=3.54 g·m-2·a-1,p<0.01)呈显著增加趋势,说明2000-2017年黄河三角洲植被生长状况趋好、植被生产力提高.气温、降水和太阳总辐射对植被NPP变化的贡献分别为0.006、0.81、-0.03g·m-2·a-1,即降水对植被NPP变化的贡献最大,这主要是因为黄河三角洲的主要土地利用类型为耕地,受降水影响大,当地土壤具有盐碱化风险,降水可以补充淡水资...     

过去两千年长江干流历史洪水事件的时空变化研究

理解极端洪水事件活动特征及其与气候变化、人类活动的相互关系一直是全球变化研究的热点问题。现代器测数据较短对洪水事件变化规律预测存在不足,而利用历史文献记录研究百年-千年尺度洪水事件的发生规律则成为一个较好的选择。洪水灾害是长江流域最为严重的自然灾害之一。本文以官方现存历史记载为依据,构建了过去2000年长江干流上、中、下游洪水事件序列,并将其与气候和人类活动代理指标进行对比。结果表明,1350年之前,长江干流洪水事件受东亚季风(EASM)、西南季风(ISM)、厄尔尼诺-南方涛动(ENSO)、热带辐合带(ITCZ)移动等多种气候因素驱动,且气候驱动机制在同期不同区、同区不同期存在显著差异。此外,1350年之后人类活动的增强可能明显加剧了长江干流洪水事件的频率和强度。     

探索性数据分析在西藏气候变化趋势研究中的应用

为了减少小样本时间序列资料中个别异常值对气候变化趋势分析的破坏性影响,采用探索性数据分析方法之一的三组耐抗线对西藏近30年气温、云量资料进行线性趋势分析,研究了西藏地区气温和云量的变化趋势及其区域分布,并讨论了二者的相关特征。通过与传统的最小二乘法相比,表明三组耐抗线用于西藏气候变化趋势分析具有明显优势,而用最小二乘法得到的西藏气候变暖估计偏高。分析认为,西藏气候变暖主要由最低气温增高显著所致,最低气温变暖趋势在春、夏季较明显,冬季相对不明显;西藏各地增温幅度在空间分布上不一致,中、西部地区呈较强的增温趋势,东部相对较弱;西藏高原总云量和低云量总体呈减少趋势,总云量和低云量变少分别与西部和中部地区的升温之间存在显著负相关关系。     

陕西绥德地区黄土-古土壤序列地球化学特征及其环境指示意义

黄土高原北部的绥德地区处于干旱-半干旱地区,对环境变化的响应十分敏感,通过对黄土-古土壤的研究对比可以探索该区的古环境气候特征、环境变化信息等相关问题.本文对绥德黄土-古土壤进行常量、微量、稀土元素测试分析,并与其他地区黄土的地球化学特征进行了对比.结果 表明:绥德地区黄土-古土壤的主要化学成分以SiO2、Al2O3、...     

Effects of Land Use and Climate Change on Stream Temperature I: Daily Flow and Stream Temperature Projections

Freshwater mussels (order Unionida) are a highly imperiled group of organisms that are at risk from rising stream temperatures (T). There is a need to understand the potential effects of land use (LU) and climate change (CC) on stream T and have a measure of uncertainty. We used available downscaled climate projections and LU change simulations to simulate the potential effects on average daily stream T from 2020 to 2060. Monte Carlo simulations were run, and a novel technique to analyze results was used to assess changes in hydrologic and stream T response. Simulations of daily mean T were used as input to our stochastic hourly T model. CC effects were on average two orders of magnitude greater than LU impacts on mean daily stream T. LU change affected stream T primarily in headwater streams, on average up to 2.1°C over short durations, and projected CC affected stream T, on average 2.1‐3.3°C by 2060. Daily mean flow and T ratios from Monte Carlo simulations indicated greater variance in the response of streamflow (up to 55%) to LU change than in the response of stream T (up to 9%), and greater variance in headwater stream segments compared to higher order stream segments for both streamflow and T response. Simulations indicated that combined effects of climate and LU change were not additive, suggesting a complex interaction and that forecasting long‐term stream T response requires simulating CC and LU change simultaneously.     

Bringing the Heat Home: Television Spots about Local Impacts Reduce Global Warming Denialism

ABSTRACT

Efforts to educate the general public about global warming and the potential policy solutions that could mitigate its effects have relied on the diffusion of facts. But, cognitive scientists have documented that psychologically distant events like global warming elicit less concern and motivation to act relative to immediate, proximal and certain events. This paper documents a quasi-experiment that tested the effect on attitudes of a television campaign that emphasized the temporally, geographically and socially proximal impacts of global warming on the ecosystems and business activity of a historically conservative area of the United States. The campaign aired on one cable provider. Subscribers of that and of competing providers in the same zip-codes were polled after the campaign. Respondents exposed to the campaign were more likely to believe that global warming is happening, to accept the scientific consensus, to be more concerned about impacts and more supportive of policy solutions.     

Is climate-smart conservation feasible in Europe? Spatial relations of protected areas,soil carbon,and land values

The expectations on protected areas to deliver not only biodiversity conservation but also to provide an array of different ecosystem services rise. Sequestration and storage of carbon are promising services that protected areas may provide. This study integrates spatially explicit data on terrestrial Natura 2000 sites, soil organic carbon, and agricultural land values to estimate the potential for climate-smart conservation planning in the European Union. The objectives of this study are to analyse spatial relations between protected areas soil carbon content, and land values on the European Union's land area as well as to locate and quantify the proportion of land with high carbon and low economic value within and outside protected areas. We apply a unique interdisciplinary framework with methods ranging from analyses based on geographical information systems, agricultural economics to statistics. Findings indicate that there is a significant overlap between Natura 2000 sites and regions with high carbon content across Europe. Statistical analyses show that carbon-rich regions have significantly lower land values than other areas. Our results suggest that biodiversity protection and mitigation of climate change through conservation of soil carbon could be simultaneously achieved in Europe's protected areas and beyond. We conclude that there is a notable potential for climate-smart conservation in Europe that needs further investigation.     

Bumblebee Vulnerability: Common Correlates of Winners and Losers across Three Continents

Abstract:  It is widely agreed that in many parts of the world some bumblebee ( Bombus ) species have declined, and that this has often been driven by land-use changes that cause reductions in the abundance of food plants. There is much less agreement about how changes in food plants affect some bumblebee species more than others. We sought to identify which species' characteristics are generally associated with the relative winners and losers by comparing the 3 independent bumblebee faunas from parts of Britain, Canada, and China. Using available survey data, we assessed species characteristics, including competition with congeners, climatic specialization, proximity to climatic range edge, food specialization, phenology, body size, and range size. Results of our meta-analysis of correlations showed support for the hypotheses that decline susceptibility is generally greater for species that have greater climatic specialization, for species in areas where they occur closest to the edges of their climatic ranges, and for species that have queens that become active later in the year. The latter characteristic may render a species at a particular disadvantage when they have long colony cycles if there are losses of food plants in mid to late colony development.     

Global Trend of Low-carbon Economy and China's Responses

Based on the analysis on the global economic crisis,climate change crisis and their mutual underlying reasons,the authors believe that low-carbon economy has become an inevitable choice to break through the dual crises,coordinate the economic development,and protect the global climate.The global trend of low-carbon economy finds expression in Green Recovery currently,while,in a long run,it will give rise to a new pattern of world competition in politics,economy,technology,trade and finance.The impact of the...     

Global climate change and the politics of disaster

The paper explores the potential political impact of global climate change and, more generally, of natural disaster. Because the affluent West has largely tamed the natural and the social domains, popular clamor for government to anticipate, prevent, and redress disaster increases. I delineate several consequences of the new politics of disaster.