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1.
《气候变化研究进展》2021,(4)
农业作为响应气候变化最敏感的领域之一,未来作物产量可能受到深刻影响。量化气候变化冲击作物产量导致的最终经济影响,需要综合"气候变化—作物产量—经济影响"开展链式研究。文中采用系统回顾和Meta回归分析方法整合了55篇文献的667项研究结果,推导出我国七大地区主要作物(水稻、玉米、小麦)产量与地区内未来温度和降水变化的定量关系,并将其作为农业部门的损失量代入改进的多区域投入产出模型,量化七大地区内与地区间遭受的经济波及影响(ERE)。结果显示:(1)气候变化对我国作物产量的影响主要体现在温度升高上,每升温1℃减产2.6%～12.7%,东北和西北地区作物受升温影响最显著;(2)气候变化导致的作物减产将对经济产生更严重的波及影响,GDP因作物减产每下降1%将额外产生17.8%的波及影响;(3)21世纪末,若不考虑CO_2肥效作用,作物减产导致的ERE将占GDP的-0.1%～13.6%(负值表示收益),最悲观情况下ERE与当前我国农业总产值相当(2012年为基准年);(4)不同地区受ERE影响程度的差异较大,因各区之间产业结构、贸易联系及经济发展程度存在差异,西南地区遭受本区及来自其他地区的ERE比华东地区高2.8～8.5倍。 相似文献
2.
根据共享社会经济情景（SSPs）分为“双碳”路径（SSP1-1.9、SSP1-2.6、SSP2-4.5、SSP4-3.4、SSP4-6.0）和“高碳”路径（SSP3-7.0、SSP5-8.5)。在碳达峰（2028—2032年）和碳中和（2058—2062年）两个时期,采用5个气候模式,7个情景驱动SWAT水文模型,分析赣江流域径流演变特征,主要结论如下：1961—2017年赣江流域观测到的年均气温以0.17℃/(10 a)的速率呈显著上升趋势（p<0.01),降水以17 mm/(10 a)的速率呈不显著上升。“双碳”和“高碳”路径下,2021—2100年赣江流域均呈现暖湿态,气温持续变暖,降水有所增加;碳达峰、碳中和时期,“双碳”路径下年径流呈现增加趋势;“双碳”路径下,月径流在汛期呈现增加趋势,枯水期在SSP1-1.9、SSP1-2.6、SSP2-4.5、SSP4-3.4下呈现增加趋势,在SSP4-6.0下呈现减少趋势。“双碳”路径下极端水文事件强度将可能小于“高碳”路径。 相似文献
3.
纵深并拓宽气候适应国际合作,是《巴黎协定》增强适应行动的主要内容,是“后巴黎”时代延续全面适应行动的重要组成部分。在系统地调研和梳理主要国家/集团适应气候变化国际合作机制以及全球气候适应国际合作重点领域的基础上,分析中国近年来开展的政府间交流机制,双、多边合作机制,国际组织合作以及与发展中国家开展的南南合作等适应气候变化合作重点工作,总结出资金缺乏、合作渠道多元化不足、国际合作模式亟待深化以及“后疫情”时代经济绿色复苏的挑战是中国开展适应气候变化国际合作面临的主要问题。“后巴黎”时代,中国作为全球生态文明建设的重要参与者、贡献者、引领者,深化气候适应国际合作将落脚于深度参与全球气候适应治理机制的建设、深化与全球适应中心的合作、探索气候适应国际合作重点领域和重点工作以及进一步开拓跨国对标城市间的适应气候变化国际合作。 相似文献
4.
“一带一路”沿线地区气候灾害类型多样,分布广泛,其中水资源短缺和洪涝灾害频发等水资源问题是“一带一路”沿线国家的主要气候风险之一。文中对“一带一路”沿线国家提交的国家自主贡献（NDC）中提出的水资源相关适应措施进行了分析评估。结果表明,气候变化及水资源相关风险已经受到了“一带一路”沿线国家的普遍关注,大部分国家都或多或少提出了针对性的适应措施,如优化水资源管理、提高水资源利用效率、强化监测预警、增加基础建设等。然而目前还存在一些不足之处,包括：以中东欧国家为主的部分“一带一路”沿线国家NDCs中缺乏适应相关的内容;西亚/中东和中亚地区对于风险关注的范围不够全面,缺乏对未来潜在洪水风险的评估和预案;在中亚、南亚和中东等水争端问题突出的地区缺乏合适的国际合作机制;大部分国家缺少对水环境的关注。为提高“一带一路”沿线国家气候适应能力,构建完善的气候适应体系,建议完善国家自主贡献报告、建立国际合作机制,增加对气候变化研究的关注和投入,保障“一带一路”建设绿色可持续发展。 相似文献
5.
IPCC第六次评估报告（AR6）第一工作组报告提出了基于“产生影响的气候因子”（CID）的气候变化评估框架,以一组影响社会或生态系统的气候状态为基础进行气候变化评估。这个CID评估框架有7个类型,33个气候因子,每个因子可以针对被影响对象采用不同的评估指标。CID变化具有时间尺度差异性与不可逆性、突变性与临界点、凸现时间、复合性以及受影响主体依赖性等重要特征。基于CID的气候变化评估框架有助于更客观、中立、全面地评估气候变化给不同部门带来的影响和风险。 相似文献
6.
基于Web of Science（WOS）核心数据库中2007—2019年发表的2075篇以“气候变化”“感知”和“适应”为研究主题的文献,利用CiteSpace软件的网络可视化分析功能,并结合WOS的相关统计工具,对气候变化感知和适应行为领域的文献特征与演进历程进行研究,以期明确该领域的历史研究特征、知识基础和热点演变,并指出未来的研究趋势,为发展创新提供参考。结果表明：除气候变化、适应和感知外,脆弱性、影响、风险、管理、变化性、适应能力、恢复力、农业、风险感知、政策、干旱和农民也是气候变化感知和适应行为领域的热点词汇;在研究中不断涌现新的词汇,且越来越重视沿海地区和小农问题;公众的个体经验不断受到重视,同时气候变化敏感区将是本领域未来的热点研究地区;中国仍处于气候变化感知和适应行为领域研究的起步阶段。 相似文献
7.
IPCC AR6报告解读：气候变化与水安全 总被引：1，自引：0，他引：1
保障水安全是应对和缓解气候变化的核心问题,也是实现可持续发展的前提。IPCC第六次评估报告（AR6）第二工作组报告单独设立第四章“水”,分析了气候变化对全球水循环的影响,评估了水循环变化对人类社会和生态系统的影响,指出了当前与未来的水安全风险,分析了与水相关适应措施的收益与成效。报告显示,人类活动导致的气候变化加速了全球水文循环,对水安全产生负面影响,面临水安全风险的人口与地区增多,并增加了由社会经济因素造成的水资源脆弱性。水安全风险随全球升温水平的升高而增加,在水安全脆弱地区表现更为显著。将全球升温限制在1.5℃可有效降低未来的水安全风险,有助于实现水安全、可持续发展和具有气候恢复力的发展三重目标。我国水安全问题突出,急需在“灰-绿”基础设施生态水文效应、三维水资源短缺、水-粮食-能源耦合、地球系统模拟器研发应用等方面重点开展研究工作。 相似文献
8.
依据IPCC第六次评估报告（AR6）第一工作组报告第四章的内容,对未来全球气候的预估结果进行解读。报告对21世纪全球表面气温、降水、大尺度环流和变率模态、冰冻圈和海洋圈的可能变化进行了系统评估,并对2100年以后的气候变化做了合理估计。评估指出全球平均表面气温将在未来20年内达到或超过1.5℃,平均降水也将增加,但随季节和区域而异,同时变率将增大。大尺度环流和变率模态受内部变率影响较大。到21世纪末,北冰洋可能出现无冰期;全球海洋会继续酸化,平均海平面将持续上升,百年内上升幅度依赖不同排放情景,都在2100年后继续升高。在最新的评估中采用多种约束方法,减小了预估不确定性的范围。AR6对于低排放情景以及“小概率高增暖情节”的关注为应对气候变化提供了更多、更完整的信息。综合报告的评估结果指出,未来需要进一步减小区域,特别是季风区气候预估的不确定性,并从科学研究和模式发展两方面加强我国气候预估能力的建设。 相似文献
9.
研究基于2009—2017年中国268个地级市面板数据,将下一代互联网示范城市政策视为准自然实验,利用双重差分模型（DID）实证检验了下一代互联网示范城市政策对城市碳排放的影响。结果表明：下一代互联网示范城市政策对城市碳排放具有缓解作用,可使城市碳排放减少1.41%,该结论在经过稳健性检验后依然成立;在机制分析中得出,下一代互联网示范城市政策主要通过产业结构优化和绿色技术创新的方式缓解城市碳排放;进一步异质性检验表明,下一代互联网示范城市的建设对大型城市和高碳排放量城市的减排效果更加显著,对中小型城市则表现出加剧碳排放的现象。 相似文献
10.
基于ERA5-HEAT再分析资料中的通用热气候指数（UTCI）数据,利用旋转经验正交函数（REOF）方法将我国划分为8个区,分别为长江、华南、华北、西北、东北、北疆、南疆和西部地区。分析了1980—2019年我国夏季不同地区人体舒适度的变化特征,并初步解释了UTCI变化的原因。主要结论如下：我国夏季UTCI呈不断增加趋势,其中西北地区增速最快（平均增率为0.053℃/a),且西部、西北和南疆地区夜间UTCI相较白天增加更明显,主要表现为这些地区的UTCI最小值增率分别较其最大值增率偏高了112%、34%和33%。随着UTCI的上升,我国大部分地区（西部除外）的热不舒适天数及发生热不舒适持续事件的频次都呈增加趋势,其中增率最大的区域是华北地区,分别为1.7 d/(10 a)和2.4次/(10 a)。从气候影响因子的分析发现,我国夏季UTCI增加的原因是气温、露点温度和平均辐射温度的增加以及风速的减少。其中,气温是UTCI增加的主要气候因子,平均贡献率为49%;辐射是大部分地区（西部和华南除外）的第二大因子,而其他因子对UTCI的贡献率主要与各地区的变率大小有关。 相似文献
11.
Future cereal production in China: The interaction of climate change,water availability and socio-economic scenarios 总被引：4，自引：0，他引：4
Xiong Wei Conway Declan Lin Erda Xu Yinlong Ju Hui Jiang Jinhe Holman Ian Li Yan 《Global Environmental Change》2009,19(1):34-44
Food production in China is a fundamental component of the national economy and driver of agricultural policy. Sustaining and increasing output to meet growing demand faces significant challenges including climate change, increasing population, agricultural land loss and competing demands for water. Recent warming in China is projected to accelerate by climate models with associated changes in precipitation and frequency of extreme events. How changes in cereal production and water availability due to climate change will interact with other socio-economic pressures is poorly understood. By linking crop and water simulation models and two scenarios of climate (derived from the Regional Climate Model PRECIS) and socio-economic change (downscaled from IPCC SRES A2 and B2) we demonstrate that by the 2040s the absolute effects of climate change are relatively modest. The interactive effects of other drivers are negative, leading to decreases in total production of ?18% (A2) and ?9% (B2). Outcomes are highly dependent on climate scenario, socio-economic development pathway and the effects of CO2 fertilization on crop yields which may almost totally offset the decreases in production. We find that water availability plays a significant limiting role on future cereal production, due to the combined effects of higher crop water requirements (due to climate change) and increasing demand for non-agricultural use of water (due to socio-economic development). Without adaptation, per capita cereal production falls in all cases, by up to 40% of the current baseline.By simulating the effects of three adaptation scenarios we show that for these future scenarios China is able to maintain per capita cereal production, given reasonable assumptions about policies on land and water management and progress in agricultural technology. Our results are optimistic because PRECIS simulates much wetter conditions than a multi-model average, the CO2 crop yield response function is highly uncertain and the effects of extreme events on crop growth and water availability are likely to be underestimated. 相似文献
12.
Torben K. Mideksa 《Global Environmental Change》2010,20(2):278-286
Climate change is likely to harm developing economies that generate major portion of their GDP from climate sensitive sectors. This paper computes economy-wide impact of climate change and its distributional consequence with the help of a sector wise disaggregated general equilibrium model using Ethiopia as a case. The projected climate shock reduces output in the sector with the strongest forward and backward linkage to the rest of the economy and redistributes income by changing the returns to inputs owned by various agents. The results suggest that climate change will make the prospect of economic development harder in at least two ways: first, by reducing agricultural production and output in the sectors linked to the agricultural sector, which is likely to reduce Ethiopia's GDP by about 10% from its benchmark level; and second, by raising the degree of income inequality in which the Gini-coefficient increases by 20%, which is likely to further decrease economic growth and fuel poverty. Thus, climate change is expected to increase the fraction of people in poverty by reducing the size of the total pie and redistributing it more unevenly. 相似文献
13.
气候变化已成为当今科学界、各国政府和社会公众普遍关注的环境问题之一,气候变化可能对生态系统和社会经济产生灾难性影响,农业是受气候变化影响最直接的脆弱行业。因此,气候变化对农业生产的影响研究一直是气候变化研究领域中的热点问题之一。该文系统介绍了有关全球气候变化对中国农业生产影响研究的现状与进展,包括气候变化对农业影响的研究方法、大气中温室气体浓度增加对农作物的影响试验、气候变化对农业气候资源的影响、气候变化对农作物生长发育和产量的影响、气候变化对农业种植制度和品种布局的影响、气候变化对农作物气候生产潜力和气候资源利用率的影响等,指出当前在研究气候变化对农业影响评估中存在的问题,提出了今后应加强对气候变化情景和预测模式不确定性的研究、气候变化对农业影响的方法研究。此外,气候变化背景下极端天气气候事件对农业生产的影响以及气候变化对农业病虫害的影响研究等仍较薄弱,有待进一步加强和深入。 相似文献
14.
East African food security as influenced by future climate change and land use change at local to regional scales 总被引：3，自引：0，他引：3
Nathan Moore Gopal Alagarswamy Bryan Pijanowski Philip Thornton Brent Lofgren Jennifer Olson Jeffrey Andresen Pius Yanda Jiaguo Qi 《Climatic change》2012,110(3-4):823-844
Climate change impacts food production systems, particularly in locations with large, vulnerable populations. Elevated greenhouse gases (GHG), as well as land cover/land use change (LCLUC), can influence regional climate dynamics. Biophysical factors such as topography, soil type, and seasonal rainfall can strongly affect crop yields. We used a regional climate model derived from the Regional Atmospheric Modeling System (RAMS) to compare the effects of projected future GHG and future LCLUC on spatial variability of crop yields in East Africa. Crop yields were estimated with a process-based simulation model. The results suggest that: (1) GHG-influenced and LCLUC-influenced yield changes are highly heterogeneous across this region; (2) LCLUC effects are significant drivers of yield change; and (3) high spatial variability in yield is indicated for several key agricultural sub-regions of East Africa. Food production risk when considered at the household scale is largely dependent on the occurrence of extremes, so mean yield in some cases may be an incomplete predictor of risk. The broad range of projected crop yields reflects enormous variability in key parameters that underlie regional food security; hence, donor institutions’ strategies and investments might benefit from considering the spatial distribution around mean impacts for a given region. Ultimately, global assessments of food security risk would benefit from including regional and local assessments of climate impacts on food production. This may be less of a consideration in other regions. This study supports the concept that LCLUC is a first-order factor in assessing food production risk. 相似文献
15.
The impact of future climate change on West African crop yields: What does the recent literature say? 总被引：2，自引：0，他引：2
Philippe Roudier Benjamin SultanPhilippe Quirion Alexis Berg 《Global Environmental Change》2011,21(3):1073-1083
In West Africa, agriculture, mainly rainfed, is a major economic sector and the one most vulnerable to climate change. A meta-database of future crop yields, built up from 16 recent studies, is used to provide an overall assessment of the potential impact of climate change on yields, and to analyze sources of uncertainty.Despite a large dispersion of yield changes ranging from −50% to +90%, the median is a yield loss near −11%. This negative impact is assessed by both empirical and process-based crop models whereas the Ricardian approach gives very contrasted results, even within a single study. The predicted impact is larger in northern West Africa (Sudano-Sahelian countries, −18% median response) than in southern West Africa (Guinean countries, −13%) which is likely due to drier and warmer projections in the northern part of West Africa. Moreover, negative impacts on crop productivity increase in severity as warming intensifies, with a median yield loss near −15% with most intense warming, highlighting the importance of global warming mitigation.The consistently negative impact of climate change results mainly from the temperature whose increase projected by climate models is much larger relative to precipitation change. However, rainfall changes, still uncertain in climate projections, have the potential to exacerbate or mitigate this impact depending on whether rainfall decreases or increases. Finally, results highlight the pivotal role that the carbon fertilization effect may have on the sign and amplitude of change in crop yields. This effect is particularly strong for a high carbon dioxide concentration scenario and for C3 crops (e.g. soybean, cassava). As staple crops are mainly C4 (e.g. maize, millet, sorghum) in WA, this positive effect is less significant for the region. 相似文献
16.
The impact of climate change on agriculture has received wide attention by the scientific community. This paper studies how to assess the grain yield impact of climate change, according to the climate change over a long time period in the future as predicted by a climate system model. The application of the concept of a traditional ＂yield impact of meteorological factor （YIMF）＂ or ＂yield impact of weather factor＂ to the grain yield assessment of a decadal or even a longer timescale would be suffocated at the outset because the YIMF is for studying the phenomenon on an interannual timescale, and it is difficult to distinguish between the trend caused by climate change and the one resulting from changes in non-climatic factors. Therefore, the concept of the yield impact of climatic change （YICC）, which is defined as the difference in the per unit area yields （PUAY） of a grain crop under a changing and an envisaged invariant climate conditions, is presented in this paper to assess the impact of global climate change on grain yields. The climatic factor has been introduced into the renowned economic Cobb-Douglas model, yielding a quantitative assessment method of YICC using real data. The method has been tested using the historical data of Northeast China, and the results show that it has an encouraging application outlook. 相似文献
17.
The aim of this paper is to improve understanding of the adaptive capacity of European agriculture to climate change. Extensive
data on farm characteristics of individual farms from the Farm Accountancy Data Network (FADN) have been combined with climatic
and socio-economic data to analyze the influence of climate and management on crop yields and income and to identify factors
that determine adaptive capacity. A multilevel analysis was performed to account for regional differences in the studied relationships.
Our results suggest that socio-economic conditions and farm characteristics should be considered when analyzing effects of
climate conditions on farm yields and income. Next to climate, input intensity, economic size and the type of land use were
identified as important factors influencing spatial variability in crop yields and income. Generally, crop yields and income
are increasing with farm size and farm intensity. However, effects differed among crops and high crop yields were not always
related to high incomes, suggesting that impacts of climate and management differ by impact variable. As farm characteristics
influence climate impacts on crop yields and income, they are good indicators of adaptive capacity at farm level and should
be considered in impact assessment models. Different farm types with different management strategies will adapt differently. 相似文献
18.
Estimates of impact of climate change on crop production could be biased depending upon the uncertainties in climate change scenarios, region of study, crop models used for impact assessment and the level of management. This study reports the results of a study where the impact of various climate change scenarios has been assessed on grain yields of irrigated rice with two popular crop simulation models- Ceres-Rice and ORYZA1N at different levels of N management. The results showed that the direct effect of climate change on rice crops in different agroclimatic regions in India would always be positive irrespective of the various uncertainties. Rice yields increased between 1.0 and 16.8% in pessimistic scenarios of climate change depending upon the level of management and model used. These increases were between 3.5 and 33.8% in optimistic scenarios. At current as well as improved level of management, southern and western parts of India which currently have relatively lower temperatures compared to northern and eastern regions, are likely to show greater sensitivity in rice yields under climate change. The response to climate change is small at low N management compared to optimal management. The magnitude of this impact can be biased upto 32% depending on the uncertainty in climate change scenario, level of management and crop model used. These conclusions are highly dependent on the specific thresholds of phenology and photosynthesis to change in temperature used in the models. Caution is needed in using the impact assessment results made with the average simulated grain yields and mean changes in climatic parameters. 相似文献
19.
Rice is the staple food in China, and the country’s enlarging population puts increasing pressure on its rice production as well as on that of the world. In this study, we estimate the impact of climate change, CO2 fertilization, crop adaptation and the interactions of these three factors on the rice yields of China using model simulation with four hypothetical scenarios. According to the results of the model simulation, the rice yields without CO2 fertilization are predicted to decrease by 3.3 % in the 2040s. Considering a constant rice-growing season (GS), the rice yields are predicted to increase by 3.2 %. When the effect of CO2 fertilization is integrated into the Agro-C model, the expected rice yields increase by 20.9 %. When constant GS and CO2 fertilization are both integrated into the model, the predicted rice yield increases by 28.6 %. In summary, the rice yields in China are predicted to decrease in the 2040s by 0.22 t/ha due to climate change, to increase by 0.44 t/ha due to a constant GS and to increase by 1.65 t/ha due to CO2 fertilization. The benefits of crop adaptation would completely offset the negative impact of climate change. In the future, the most of the positive effects of climate change are expected to occur in northeastern and northwestern China, and the expansion of rice cultivation in northeastern China should further enhance the stability of rice production in China. 相似文献
20.
与IPCC第五次评估报告相比,第六次评估报告（AR6）有关农业的评估对象由作物生产系统延伸到粮食供应链系统,气候变化对作物生产不利影响的证据在加强。气候变化改变了作物适宜种植区,使中高纬度及温带地区作物种植界限向高纬度、高海拔地区推移。人为引起的气候变暖阻碍了作物产量的增长,地表O3浓度增加使作物产量降低,CH4排放加剧了这种不利影响。气候变化加剧作物病虫草害,极端气候事件高发加剧了粮食不安全,推升了国际粮食价格。适应措施有助于减缓气候变化不利影响,基于自然的适应方案在增强作物生产系统气候恢复力和保障粮食安全方面具有较高潜力。从保障国家粮食安全和重大战略需求出发,AR6报告对我国农业应对气候变化相关工作的启示如下：需要高度重视气候变化背景下作物种植适宜区转变与种植带北移的重要战略价值,合理规划农业生产布局;加强农业气象灾害和病虫害防治体系和能力建设,保障粮食生产稳定性;关注气候变化对国际作物生产和谷物贸易的影响,统筹国内、国际市场粮食资源,保障粮食安全;推进农业温室气体减排与作物生产高效协同,为实现国家减排目标做出贡献。 相似文献