CLUE-S模型对村镇土地利用变化的模拟与精度评价

利用航片、IKONOS和Quickbird影像得到研究区3期（1991、2001和2009年）土地利用历史数据,运用CLUE S模型,基于1991、2001年的土地利用数据对2009年土地利用格局进行模拟预测,并将模拟结果与2009年真实土地利用数据进行比较。类型水平上,选择ROC曲线统计和偏离度指数分别对各地类的Logistic回归拟合精度和CLUE S模型模拟精度进行评价;景观水平上,采用景观指数和Kappa指数系列方法,从综合预测能力、景观格局、数量和空间位置等方面对CLUE S模型的模拟精度进行全面评估。结果表明:①CLUE S模型对各土地利用类型的模拟精度均较高,各地类的Logistic回归的拟合精度随着模拟分辨率的提高而逐渐增加;②随着模拟时间的缩短,CLUE S模型对整体景观格局的模拟精度提高;③该模型对土地利用数量的模拟精度明显优于其对空间位置的模拟精度。总体而言,CLUE S模型在村镇尺度的模拟效果良好,预测精度较高,但在空间位置和景观格局精度方面还有待提高     

气候变化经济学研究综述

对近10 a来国内外有关气候变化经济学研究成果作了综述。气候变化经济学是一门研究人类干预气候变化过程中涉及经济过程的学科。当前的研究热点包括气候变化的经济影响、适应措施的成本和收益、国际合作机制和涉及代际公平的折现率选取。 在研究方法上,对得到广泛运用的成本收益分析法和碳税机制作了详细的评述。在应用层面上,欧美发达国家在城市气候变化经济评估系统建立和碳税征收方面都有成功的应用,但我国在这方面的实践还处于起步阶段。对于我国气候变化经济学领域的研究来说,比较适合在发达省份以市域或省域为单位开展成本收益评估,发展中省份则应将更多关注放在评估气候变化可能造成的经济损害及相应的防范措施。此外,我国也应关注在欧盟地区实施较为成功的碳税政策,虽然目前在中国开征碳税的可能性较低,但是对碳税在中国实施的可行性、税率选取及立法保障机制等方面的探讨和研究仍是必要的     

三江源区气候及水文变化特征研究

以1961~2007年三江源区的气象及径流资料为基础,采用M K法和R/S分析法分析三江源区气候及水文要素变化趋势及进行未来变化趋势预测,并采用主成分分析法判定径流过程的主要驱动要素。研究表明:三江源区气温普遍显著升高,水面蒸发和地温随着气温的升高也不断增加,降水的增加并不显著,而年径流尤其是夏秋季节径流存在明显减小的趋势。R/S分析结果表明气候和水文要素未来总体的变化趋势与过去一致。三江源区径流过程是由气温起主导作用,径流对气温变化较降水变化更为敏感。本研究将为三江源区水资源开发利用及优化配置提供科学借鉴,同时为三江源区的生态建设和保护提供参考依据     

极端气候事件的灾后适应能力研究——以水稻为例

本研究以水稻种植业为例,基于1985-2008年中国水稻主产区的面板数据,实证分析了中国极端气候事件灾后适应能力的机制及绩效。结论表明:西南、华中、华东地区在极端气候事件灾后,并没有将农业产业结构向养殖业调整,相反,种植业在政府扶持与创新激励下反而恢复生产甚至进一步扩张。特别对于西南等经济相对欠发达地区而言,较强的灾后适应能力,往往是农业生产机会成本较低的作用结果,同样由于此原因,华东地区在水灾之后却出现了劳动力转移现象。现阶段,灾后适应能力较多的表现为微观层面的农户响应行为,此种民间调控机制必然有其局限性,政府部门应加大投入力度,通过水利工程建设、气象灾害预警体系构建、标准化农田建设、良种补贴等方式引领粮食主产区应对气象灾害。     

Income Growth, Urbanization, Changing Life Style and Energy Requirements in China

This paper aims to estimate the effects of changing life style and consumption demands driven by income growth and urbanization on increase of energy requirements in China, and es-timate the impacts of improvement in household consumption on mitigating energy requirements towards 2020, based on input-out-put analysis and scenarios simulation approach. The result shows that energy requirement per capita has increased by 159% for urban residents and 147% for rural residents from 1995 to 2004. Growth in household consumption driven by income growth and urbanization may induce a successive increase in energy require-ments in future. Per capita energy requirements of urban residents will increase by 240% during 2002-2015 and 330% during 2002-2020. Urbanization might lead to 0.75 billion ton of increment of energy requirements in 2020. About 45%-48% of total energy requirements in China might be a consequence of residents’ life styles and the economic activities to support consumption demands in 2020. Under low-carbon life style scenario, per capita energy requirements of urban residents may decline to 97% in 2015 and 92% in 2020 in contrast with baseline scenario. That implies that China needs to pay a great attention to developing green low-carbon life style in order to realize mitigation target towards 2020.     

东湖典型区域间隙水中营养盐的时空分布

以富营养化程度严重的浅水湖泊东湖为研究对象,通过持续采样调查,分析并比较了3个典型采样点柱状沉积物间隙水中营养盐的垂直分布和季节变化特征,结果表明东湖沉积物间隙水中营养盐浓度最高值一般出现在-5 cm以上,-5～-10 cm之间有一个快速降低的过程,-10～-26 cm之间趋于稳定,但也有小幅的波动;冬季间隙水中营养盐浓度明显低于其他季节,夏秋两季略高。分析认为沉积物间隙水中营养盐浓度受附近污染源直接影响较大,与上覆水水质有一定相关性,但不显著。间隙水中营养盐的季节变化主要因为冬季污染排放减少加速了间隙水中营养盐向上覆水的扩散、减少了水中营养盐在沉积物表层的沉积,以及温度降低导致微生物活动减少进而降低了有机物的矿化分解量。并且认为常规疏浚深度就可以有效移除东湖表层污染严重的沉积物     

创新体制 |转变发展方式

没有发展方式的转变,我们为环境改善所作的一切努力将成为徒劳！发展方式的转变为什么在中国是“一场深刻的革命”？无序竞争、产能过剩、高耗资源、损害环境的现象有增无减？发展方式的转变,这对于中国是千载难逢的机遇,我们敞开大门,招商引资,引入了社会主义建设需要的许多要素,我们也取得了令世界瞩目的伟大成就。我们的口号是“保增长、保就业、保民生、保稳定”,我们别无选择。其实还有一个视角去观察“中国模式”,即三组动力叠加的发展模式：千万个企业靠内在冲动和外在强制推动这个国家的发展,这是大多数国家共同的特征。我们会清晰地发现,政治文明、文化文明建设是最不需要消耗多大物质财富的     

含外来电的崇明县能源碳排放核算研究

能源消耗是中国最主要的碳排放源,而地方政府是碳管理的基层行政单元,因此,有效控制区域的能源碳排放是碳减排工作的重中之重。区域消耗的能源中,外来电是缓解当地用电压力的重要措施,但一般外来电引起的碳排放易被忽视。将外来电导致的碳排放纳入区域能源碳排放核算体系内,利用部门分析和范围分析法建立了包含外来电分析的能源碳排放核算系统,以上海市崇明县为例进行了应用。研究表明：（1）2000～2009年崇明的能源碳排放增长较快,由181万t增至477万t（CO2当量）;(2）碳排放总量的8212%来自3个部门：工业、建筑业和生活部门;(3）2009年,购买电力导致的间接碳排放达2316%,体现了实施碳管理时考虑外来电力的必要性     

Projecting Climate Change Effects on Forest Net Primary Productivity in Subtropical Louisiana,USA

This study projected responses of forest net primary productivity (NPP) to three climate change scenarios at a resolution of 5 km × 5 km across the state of Louisiana, USA. In addition, we assessed uncertainties associated with the NPP projection at the grid and state levels. Climate data of the scenarios were derived from Community Climate System Model outputs. Changes in annual NPP between 2000 and 2050 were projected with the forest ecosystem model PnET-II. Results showed that forest productivity would increase under climate change scenarios A1B and A2, but with scenario B1, it would peak during 2011–2020 and then decline. The projected average NPP under B1 over the years from 2000 to 2050 was significantly different from those under A1B and A2. Forest NPP appeared to be primarily a function of temperature, not precipitation. Uncertainties of the NPP projection were due to large spatial resolution of the climate variables. Overall, this study suggested that in order to project effects of climate change on forest ecosystem at regional level, modeling uncertainties could be reduced by increasing the spatial resolution of the climate projections.     

Tree and Shrub Expansion Over the Past 34 Years at the Tree-Line Near Abisko,Sweden

Shrubs and trees are expected to expand in the sub-Arctic due to global warming. Our study was conducted in Abisko, sub-arctic Sweden. We recorded the change in coverage of shrub and tree species over a 32– to 34-year period, in three 50 × 50 m plots; in the alpine-tree-line ecotone. The cover of shrubs and trees (<3.5 cm diameter at breast height) were estimated during 2009–2010 and compared with historical documentation from 1976 to 1977. Similarly, all tree stems (≥3.5 cm) were noted and positions determined. There has been a substantial increase of cover of shrubs and trees, particularly dwarf birch (Betula nana), and mountain birch (Betula pubescens ssp. czerepanovii), and an establishment of aspen (Populus tremula). The other species willows (Salix spp.), juniper (Juniperus communis), and rowan (Sorbus aucuparia) revealed inconsistent changes among the plots. Although this study was unable to identify the causes for the change in shrubs and small trees, they are consistent with anticipated changes due to climate change and reduced herbivory.