气候变化对甘肃定西、安徽合肥小麦生产影响研究

由于大气中温室气体的不断增加, 全球气候发生了巨大变化。据最新气候模式模拟研究表 明未来全球气候将发生更为剧烈的变化, 这必将对很多部门产生显著的影响特别是对气候变化 十分敏感的农业。尤其对于中国这样的人口大国, 农业作为社会最基本也是最重要生产部门之 一, 气候变化将对中国的农业生产带来巨大的影响。小麦是中国的第二大作物, 其中冬小麦占全 国小麦总产量近90%, 因此评价气候变化对中国小麦生产影响是十分必要的。为了分析在未来气 候变化情景下中国小麦生产可能遇到的风险, 以15 年ECMWF 再分析实验数据(1979~1993)作为 边界条件驱动PRECIS 区域气候模式模拟产生作物模型所需要的气候资料并输入CERES-Wheat 模型, 验证CERES-Wheat 模型与区域气候模式PRECIS 结合的模拟能力。在以上验证工作的基 础上, 将区域气候模式PRECIS 的模拟结果与作物模型CERES-Wheat 相连接, 同时考虑到CO2 对小麦的直接施肥作用, 模拟了两个小麦站点(定西和合肥)在IPCC SRES A2 和B2 情景下雨养 和灌溉小麦的变化趋势。得到如下结论: 无论是在A2 情景还是B2 情景, 定西和合肥的小麦产量 都会有所增加, 但增加的幅度相差很大。A2 情景的增产效应一般要大于B2 情景的增产效应, 灌 溉小麦比雨养小麦更加受益于气候变化, 冬小麦(合肥) 产量的增长幅度要大于春小麦(定西) 增 长幅度。CO2 对小麦生长的肥效作用十分明显, 产量增幅很大。以上结果说明未来气候变化可能 会对我国的小麦生产带来益处, 但由于未来气候情景模拟的不确定性以及CO2 肥效作用通常是 在作物过程中的水肥条件完全满足的情况下才充分体现, 这都给研究结果带来了不确定性, 但本 项研究为评价未来气候变化对中国小麦生产影响提供了一种全面的评价方法。     

Spatio-temporal variations of the flood mitigation service of ecosystem under different climate scenarios in the Upper Reaches of Hanjiang River Basin,China

Extreme rainstorm and the subsequent flood increasingly threaten the security of human society and ecological environment with aggravation of global climate change and anthropogenic activity in recent years. Therefore, the research on flood mitigation service (FMS) of ecosystem should be paid more attention to mitigate the risk. In this paper, we assessed FMS in the Upper Reaches of Hanjiang River (URHR), China from 2000 to 2014 using the Soil Conservation Service Curve Number (SCS-CN) model, and further simulated the future FMS under two climate scenarios (in 2020 and 2030). The results reveal that the FMS presented a fluctuating rising trend in the URHR from 2000 to 2014. The FMS in southern URHR was higher than that of northern URHR, and the change rate of FMS in the upstream of URHR (western URHR) was higher than the downstream of URHR (eastern URHR). The future FMS under scenarios of Medium-High Emissions (A2) and Medium-Low Emissions (B2) will decrease consistently. As land use/land cover changes in the URHR are negligible, we concluded that the change in FMS was mainly driven by climate change, such as storm and runoff. Our study highlights that climate scenarios analysis should be incorporated into the assessment of hydrologic-related services to facilitate regional water resources management.     

黄河源区径流对气候变化的响应及未来趋势(英文)

This study examines the hydrological and meteorological data of the source region of the Yellow River from 1956 to 2010 and future climate scenarios from regional climate model (PRECIS) during 2010-2020. Through analyzing the flow variations and revealing the climate causes, it predicts the variation trend for future flows. It is found that the annual mean flow showed a decreasing trend in recent 50 years in the source region of the Yellow River with quasi-periods of 5a, 8a, 15a, 22a and 42a; the weakened South China Sea summer monsoon induced precipitation decrease, as well as evaporation increase and frozen soil degeneration in the scenario of global warming are the climate factors, which have caused flow decrease. Based on the regional climate model PRECIS prediction, the flows in the source region of the Yellow River are likely to decrease generally in the next 20 years.     

A georeferenced agent-based model to analyze the climate change impacts on ski tourism at a regional scale

One main argument for modeling socio-ecological systems is to advance the understanding of dynamic correlations between various human and environmental factors, including impacts and responses to environmental change. We explore the shift in skier distribution among ski resorts taking into account the behavioral adaptation of individuals due to the impact of climate change on snow conditions. This analysis is performed at a regional scale by means of a coupled gravity and georeferenced agent-based model. Four different scenarios are considered. Two scenarios assume an increase of winter mean temperature of +2°C and +4°C, respectively, taking into account only natural snow conditions. Two additional scenarios add the effect of snowmaking to enhance the natural snow depth and extend the skiing season in the +2°C and +4°C base scenarios. Results show differing vulnerability levels, allowing the classification of ski resorts into three distinct groups: (1) highly vulnerable ski resorts with a strong reduction in visitors attendance for all climate change scenarios, characterized by unfavorable geographical and attractiveness conditions, making it difficult to ensure snow availability in the future; (2) low vulnerability ski resorts, with moderate reduction in season length during a high climate change scenario but no reduction (or even an increase) in a low one, characterized by ski resorts with a medium capacity and attractiveness to ensure enough snow conditions and capture skiers from other ski resorts; and (3) resilient ski resorts, with good conditions to ensure future snow-reliable seasons and outstanding attractiveness, allowing them to offer longer ski seasons than their competitors and potentially attracting skiers from other closed or marginal resorts. Ski resorts included in this last group increase their skier attendance in all climate change scenarios. Although similar studies in the literature foretell a significant reduction of the ski market in the near future, another probable effect outlined in this study is a redefinition of this market due to a redistribution of skiers, from vulnerable ski resorts to more resilient ones.     

气候与土地利用变化对汉江流域径流的影响

作为联结大气圈和地圈的纽带,水文循环同时承受气候变化和土地利用/覆被变化（LUCC）的双重影响,然而大多数的水文响应研究主要关注未来气候变化对径流的影响,忽略了未来LUCC的作用。因此,本文的研究目的是评估未来气候变化和LUCC对径流的共同影响。首先采用2种全球气候模式（BCC-CSM1.1和BNU-ESM）输出,基于DBC降尺度模型得到未来气候变化情景;然后,利用CA-Markov模型预测未来LUCC情景;最后,通过设置不同的气候和LUCC情景组合,采用SWAT模型模拟汉江流域的未来径流过程,定量评估气候变化和LUCC对径流的影响。结果表明：① 未来时期汉江流域的年降水量、日最高、最低气温相较于基准期（1966—2005年）,在RCP 4.5和RCP 8.5浓度路径下,分别增加4.0%、1.8 ℃、1.6 ℃和3.7%、2.5 ℃、2.3 ℃;② 2010—2050年间,流域内林地和建设用地的面积占比将分别增加2.8%和1.2%,而耕地和草地面积占比将分别减少1.5%和2.5%;③ 与单一气候变化或LUCC情景相比,气候变化和LUCC共同影响下的径流变化幅度最大,在RCP 4.5和RCP 8.5浓度路径下未来时期年平均径流分别增加5.10%、2.67%,且气候变化对径流的影响显著大于LUCC。本文的研究结果将有助于维护未来气候变化和LUCC共同影响下汉江流域的水资源规划与管理。     

黄河源区径流对气候变化的响应及未来趋势预测

利用1956-2010 年黄河源区流域水文、气象观测数据和2010-2030 年区域气候模式系统PRECIS输出数据降尺度生成的未来气候情景资料,通过分析流量的演变规律和揭示气候归因,预测了未来流量可能的演变趋势。研究表明：近55 年来黄河源区年平均流量总体呈减少趋势,并具有5a、8a、15a、22a 和42a 的准周期变化;南海夏季风减弱引起流域降水量的减少与全球变暖背景下蒸发量的增大和冻土的退化是导致黄河源区流量减少的气候归因;根据区域气候模式系统PRECIS预测结果,未来20 年黄河源区流量变化趋势可能仍以减少为主。     

长江源区冰川对全球气候变化的响应

长江源区是青藏高原内部山地冰川集中分布的地区之一 ,其冰川储量都占长江流域冰川总量的一半以上。近几十年以来由于受全球气候变化的影响 ,长江源区气候呈暖干化的倾向 ,大多数冰川呈退缩状态 ,这对长江源区的生态环境产生深刻的影响 ,进而危及整个长江流域的生态安全。用英国Hadley气候预测与研究中心的GCM模型HADCM2预测长江源区未来的气候情景 ,结果显示在不同的实验条件下 ,气候都将由现在的暖干化趋势向暖湿化方向转变。通过建立长江源区对气候变化的响应模型 ,用来预测在未来气候情景下冰川变化的趋势 ,预计在本世纪的不同时期冰川零平衡线 (雪线 )将上升 16～ 5 0m。     

气候变化背景下青冈分布变化及其对中国亚热带北界的指示意义

气候是影响植被类型和分布的关键因素,植被类型和分布格局也能反映气候的地域差异。随着气候变暖,全球气温和降水格局都将发生变化,植被类型和分布格局也将随之改变。而植物对气候变化的响应存在一定的滞后性,因此仅用气候指标研究亚热带北界及其移动具有一定的局限性。以青冈（Cyclobalanopsis glauca (Thunberg) Oersted）为研究对象,应用最大熵模型（Maxent）,研究了其对气候变化的响应并探讨了气候变化情景下青冈分布格局变化对中国亚热带北界移动的指示意义。结果表明：影响青冈分布的主导环境因子为年降水量、最冷季降水量、气温年变化范围和最冷月最低气温;随着气候变暖,青冈分布北界将向北移动,其分布质心亦向西北移动,预示着在气候变暖的背景下,到21世纪中叶中国亚热带北界将向北移动约1个纬度。     

The conquering of climate: discourses of fear and their dissolution

We are living in a climate of fear about our future climate. The language of the public discourse around global warming routinely uses a repertoire which includes words such as 'catastrophe', 'terror', 'danger', 'extinction' and 'collapse'. To help make sense of this phenomenon the story of the complex relationships between climates and cultures in different times and in different places is in urgent need of telling. If we can understand from the past something of this complex interweaving of our ideas of climate with their physical and cultural settings we may be better placed to prepare for different configurations of this relationship in the future. This paper examines two earlier European discourses of fear associated with climate – one from the early-modern era (climate as judgement) and one from the modern era (climate as pathology) – and traces the ways in which these discourses formed and dissolved within a specific cultural matrix. The contemporary discourse of fear about future climate change (climate as catastrophe) is summarised and some ways in which this discourse, too, might be dissolved are examined. Conventional attempts at conquering the climatic future all rely, implicitly or explicitly, upon ideas of control and mastery, whether of the planet, of global governance or of individual and collective behaviour. These attempts at 'engineering' future climate seem a degree utopian and brash. Understanding the cultural dimensions of climate discourses offers a different way of thinking about how we navigate the climatic future. However our contemporary climatic fears have emerged – as linked, for example, to neoliberal globalism, to ecological modernisation and the emergence of a risk society, or to a deeper instinctive human anxiety about the future – they will in the end be dissipated, re-configured or transformed as a function of cultural change.     

IPCCSRES情景下新疆未来气候变化格局分析

全球气候模型（GCM）提供了有效的方法来评估全球气候变化的过程,并可预估包括人类活动因素驱动在内的未来气候变化情景。然而其较低的分辨率并不能捕捉到那些地表特性复杂区域的气候变化特性。因此,使用包括区域气候模型（RcM）、偏差校正法和统计方法等方法在内的降尺度方法来处理GCM的原始数据以达到评估区域的气候变化的目的。本研究应用使用偏差校正法中的delta方法将24个GCM在IPCC三种气候变化情景下的月尺度数据水平分辨率降尺度到0．5℃,进而用于分析新疆未来气候变化格局。基于降尺度后的计算结果与GCM模型原始数据比较表明：降尺度方法可以改善复杂地表和地形的区域气候变化预估特征,并降低GCM生成的气候数据在新疆地区的不确定性。结果表明：AIB、A2和B1三种情景模式下年均气温和年降水量在21世纪早期具有相似的空间格局与变化趋势,到21世纪中期会产生波动变化。年平均气温在A1B,A2和B1三种情景下到21世纪末将分别达到10℃,11．1℃和8．5℃;与此同时,年降水量将会有波动性的增加趋势。在2020—2070年间,AIB情景下区域年平均气温大于其他两个情景。A1B情景下的年降水量在2020-2040年间也大于其他两个情景。然而,在不同的情境下年平均气温与年降水存在很大的不确定性。不同情景下年平均气温的差异达6℃,而年平均降水差异大约200mm。在区域气候变化格局方面,到21世纪末,在天山中部、伊犁河流域、天山南部和塔里木河下游的年平均气温的增长要比准噶尔盆地、帕米尔高原和昆仑上北坡的小。年降水量在南疆西部呈现出轻微的下降趋势,但是在昌吉,吐鲁番,哈密和阿尔金山北部呈现出增长趋势。     

CLIMATIC CHANGE,POPULATION GROWTH,AND THEIR EFFECTS ON GREAT LAKES WATER SUPPLIES*

Two scenarios of CO₂-induced climatic change and projections of population and consumptive use of water to the year 2035 are utilized in a climate impact assessment of future water resources in the Great Lakes basin. When expressed as a streamflow/population index, results indicate a sharp decline of this index. Future index values are projected to be similar to those presently recorded for the Colorado River basin.     

新疆气候与环境的过去,现在及未来情景

在分析近年来新疆地质时期与历史时期气候与环境研究方面大量的文献资料与成果,并对现代器测时期的气候变化问题进行讨论的基础上,利用综合分析法构画了新疆下世纪上半叶气候与环境的可能情景,认为新疆气候与环境初期于的晚白垩世,主要形成于第三三纪,至今总的干旱情并未改变。     

Development Of City Size Distributions For The Egyptian Urban System, 1897–1960 1

Two scenarios of CO₂-induced climatic change and projections of population and consumptive use of water to the year 2035 are utilized in a climate impact assessment of future water resources in the Great Lakes basin. When expressed as a streamflow/population index, results indicate a sharp decline of this index. Future index values are projected to be similar to those presently recorded for the Colorado River basin.     

气候变化情景下中国自然生态系统脆弱性研究

本研究以动态植被模型LPJ 为主要工具,以区域气候模式工具PRECIS 产生的A2、B2和A1B情景气候数据为输入,模拟了未来气候变化下中国自然生态系统的变化状况,应用脆弱性评价模型,评估中国自然生态系统响应未来气候变化的脆弱性。结果表明:未来气候变化情景下中国东部地区脆弱程度呈上升趋势,西部地区呈下降趋势,但总体上,中国自然生态系统的脆弱性格局没有大的变化,仍呈现西高东低、北高南低的特点。受气候变化影响严重的地区是东北和华北地区,而青藏高原区南部和西北干旱区受气候变化影响,脆弱程度明显减轻。气候变化情景下的近期气候变化对我国生态系统的影响不大,但中、远期气候变化对生态系统的负面影响较大,特别是在自然条件相对较好的东部地区,脆弱区面积增加较多。     

青藏高原地表土壤水变化、影响因子及未来预估

土壤水分是地表和大气连接的纽带,在水文循环中扮演着重要角色。青藏高原作为“第三极”和“亚洲水塔”,其土壤水分对周边地区的气候如亚洲季风的形成和维持产生重要影响,也深刻影响着亚洲水资源的可利用量。基于分布在青藏高原3个气候区的100个站点的实测土壤水数据,对ECV、ERA、MERRA、Noah数据集进行评价,选择对土壤水分评估效果最好的数据集,分析各种气象要素对土壤水分时空格局的影响,并预估未来100年内青藏高原土壤水变化,探讨可能气候成因。结果表明：① Noah数据集对青藏高原历史时期土壤水分评估效果最好,相对其他地区,各数据集对那曲地区土壤水分评估效果最优;② 在各种气象因子中,降水是影响大部分地区土壤水分时空变化的最主要因子,但在喜马拉雅山脉地带,尤其山脉北坡,温度和太阳辐射有较高的影响;③ 1948-1970年土壤水分有明显的下降趋势,1970-1990年土壤水分呈波动变化,无明显趋势,1990-2005年土壤水分有一定的上升趋势,2005年后至今土壤水分有明显快速下降趋势：④ 不同未来情景,土壤水分有下降趋势,其中在CRP 8.5情景下,土壤水分下降最为明显,在2080年之后有更加显著的下降趋势;⑤ 未来降水和温度均呈上升趋势,其中干旱指数变化在RCP 8.5情景下呈下降趋势,在RCP 2.6和RCP 4.5情景下无明显变化,干旱指数在一定程度上能解释未来土壤水分的变化格局。     

The Impact of Climate Change on the Viticultural Suitability of Maipo Valley,Chile

This study uses the case of the Maipo Valley in Chile to examine how climate change will affect viticultural suitability. Using a geographic information system analysis of topographic, soil, land use, and climate data, a baseline assessment of viticultural suitability in the Maipo Valley was performed. The impact of climate change on viticultural suitability was modeled by overlaying downscaled global circulation model temperature data for two emission scenarios. The findings of this study suggest that the capacity of vineyard managers in the Maipo Valley to cultivate high-quality traditional grape varietals from cooler grape maturity classes might be limited in the future.     

The climatic impacts of land use and land cover change compared among countries

Land use and land cover change (LULCC) strongly influence regional and global climate by combining both biochemical and biophysical processes. However, the biophysical process was often ignored, which may offset the biogeochemical effects, so measures to address climate change could not reach the target. Thus, the biophysical influence of LULCC is critical for understanding observed climate changes in the past and potential scenarios in the future. Therefore, it is necessary to identify the mechanisms and effects of large-scale LULCC on climate change through changing the underlying surface, and thus the energy balance. The key scientific issues on understanding the impacts of human activities on global climate that must be addressed including: (1) what are the basic scientific facts of spatial and temporal variations of LULCC in China and comparative countries? (2) How to understand the coupling driving mechanisms of human activities and climate change on the LULCC and then to forecasting the future scenarios? (3) What are the scientific mechanisms of LULCC impacts on biophysical processes of land surface, and then the climate? (4) How to estimate the contributions of LULCC to climate change by affecting biophysical processes of land surface? By international comparison, the impacts of LULCC on climate change at the local, regional and global scales were revealed and evaluated. It can provide theoretical basis for the global change, and have great significance to mitigate and adapt to global climate changes.     

未来气候情景下我国北方地区干旱时空变化趋势

干旱是我国北方地区最为突出的环境问题。根据WCRP耦合模式输出的未来气候变化逐月资料,基于降水-蒸发力标准化干旱指数（SPEI）,分析了IPCC SRES A1B、A2和B1三种情景下,2011-2050年我国北方地区干旱状况的时空变化趋势。结果表明：中国北方地区未来40 a呈现干旱化倾向,其中轻度和中度季节性干旱发生频率降低,重度和极端季节性干旱发生频率增加,增温引起的地表蒸发增加是极端干旱频发的主要原因。A1B、B1和A2情景下,2040s整个北方地区极端干旱频率增加、强度增强、影响范围明显扩大。极端干旱的增加可能给农业生产带来风险,采取有效应对措施,将有利于区域农业的可持续发展。     

Land degradation and climate change in South Africa

This paper considers the potential impact of future climate change on the nature and extent of land degradation in South Africa. The basis of the assessment is the comprehensive review published by the Department of Environmental Affairs and Tourism (DEA&T) as a contribution to the South African effort in respect of the United Nations Convention to Combat Desertification. The DEA&T report is founded on information collated from 34 workshops, one in each of the agricultural regions of South Africa, involving some 453 participants consisting mainly of agricultural extension officers and soil conservation technicians. This analysis reveals that land degradation is underpinned by poverty and its structural roots in colonial and apartheid political planning. Nevertheless, future climate change represents a key challenge to the developing economies of countries like South Africa. Regionally downscaled models predicting the nature and degree of rainfall changes in the future are used to assess the possible impact of future change on the South African land degradation situation. It is concluded that the most severely degraded areas of the country, including large areas of the former 'homeland' states, are likely to become even more susceptible under predicted climate change scenarios.     

黄河上游夏季流量对气候变化的响应及未来趋势预估

本文从气候变化的角度出发, 研究黄河上游龙羊峡水库夏季流量与流域气候条件的响应关系及流量预估模型, 并根据区域气候模式输出数据降尺度生成的未来气候情景, 对未来龙羊峡夏季水库流量进行了预估。结果表明:近35 年来, 黄河上游夏季气温升高、蒸发增大, 降水略有减少;黄河上游龙羊峡水库平均入库流量呈递减趋势, 夏季流量对流域降水量、平均最高气温及最低气温的响应显著;未来两个时期(2020s、2030s)龙羊峡夏季流量均较基准期(1988-2010 年)减少, 但在不同气候变化情景下流量变化有所差异, 其中A2 情景下夏季平均流量分别减少23.9%(2020s)和19.8%(2030s), B2 情景下分别减少14.4%(2030s)和17.3%(2030s), 据此, 未来气候变化对黄河上游流域夏季流量的可能影响将弊大于利, 但仍具有较大不确定性。