华北地区1951-2009年气温、降水变化特征

基于华北五省(市)64个基本气象站的1961-2009年逐年逐月气温、降水资料, 利用泰森权重计算了华北地区面平均降水及面平均气温,并建立了7个长序列气象站的气温、降水与面平均值的回归方程,展延了研究区1951-1960年面平均降水和气温资料。对展延后的1951-2009年序列数据,应用Mann-Kendall检验、Mann-Whitney检验、9 a滑动平均等方法进行趋势分析,分析结果显示: 该区59 a间年气温上升了1.5 ℃,年气温序列存在显著上升趋势,年气温序列在1993年前后有一个突变点,年气温距平以1989年为低温期与高温期的分界线,年气温平均每10 a增长2.2%;年降水序列无显著趋势,亦无显著跳跃趋势,年降水距平大致以1976年为多雨期与少雨期的分界线,年降水平均每10 a增长-1.3%。研究成果为深入分析华北地区气候变化规律、未来气候变化影响,以及水资源对气候变化的响应提供了基础。     

中国气候变化影响研究概况

介绍了目前我国在未来气候变化影响研究方面的概况,气候影响研究采用的方法多为政府间气候变化专业委员会(IPCC)第二工作组提出的气候变化影响评价方法。未来气候变化影响研究是在大气中C0₂浓度加倍,或气温、降水变化的情景下,进行未来农业、林业、水资源、生态环境以及海平面上升等方面的潜在影响研究,其中有模型研究、实验室研究、宏观研究和适应对策研究等。这些研究采用的未来气候情景多为GCM模型预测的气候情景。      

中国气候变化影响研究概况

介绍了目前我国在未来气候变化影响研究方面的概况，气候影响研究采用的方法多为政府间气候变化专业委员会（ＩＰＣＣ） 第二工作组提出的气候变化影响评价方法。未来气候变化影响研究是在大气中ＣＯ２ 浓度加倍，或气温、降水变化的情景下，进行未来农业、林业、水资源、生态环境以及海平面上升等方面的潜在影响研究，其中有模型研究、实验室研究、宏观研究和适应对策研究等。这些研究采用的未来气候情景多为ＧＣＭ 模型预测的气候情景     

澜沧江流域植被NDVI与气候因子的相关性分析

基于2000-2010年MODIS NDVI数据和气象台站数据,对澜沧江流域植被NDVI与气候因子间的相关性逐像元进行分析,研究流域植被-气候关系的空间格局特征,并对其可能影响因素进行了探讨。研究结果表明：① 气温和降水对澜沧江流域植被生长均具有明显影响,其中,温度的影响尤为显著;② 流域植被生长对气候响应表现出明显的滞后效应,随着纬度的升高,植被对气候因子响应的滞后时间逐渐缩短;③ 流域不同植被类型受气温和降水的影响程度及其对气温和降水变化的敏感性均表现为草地>耕地>灌木林地>有林地。同一植被类型受气温的影响强于降水,但对降水的变化更为敏感;④ 气候特征（多年平均气温和年降水量）显著影响植被NDVI对气候变化的响应时间。年平均气温的高低与气温对植被的影响力并无必然联系,但年降水量显著影响植被NDVI与降水间的相关程度。     

中国华东及其周边地区NDVI对气温和降水的月际响应特征

利用SPOT VGT-NDVI数据和气象站点的气温和降水资料,分析了1998-2010年期间我国华东及其周边地区NDVI对气温和降水变化的时空响应特征。结果表明,在整个研究区,NDVI对当月气温和前1月降水变化响应最为强烈。空间上,NDVI对气温变化的响应在整个研究区差异不明显,而对降水变化的响应在北部地区较在中部和南部强。NDVI在多数地区都同步响应于当月气温变化,在北部和南部一些地区对气温变化滞后响应1个月左右。NDVI对降水变化在北部地区滞后响应1个月左右,而在南部地区滞后响应2~3个月。研究区NDVI对气温和降水响应的时间特征、空间分布及总体滞后期与已有的研究结果基本一致,但在南部地区NDVI对降水变化的响应滞后期较已有的研究结果长。不同的数据源、研究范围、气候和植被类型及土壤特性的差异等都有可能造成研究结果的差异。     

土壤、农业与全球气候变化

本文讨论土壤、农业与全球气候变化的相互关系及相互影响,包括土壤圈、农业生产活动对全球气候变化的影响,以及全球气候变化对农业产生的直接和间接影响.并对引起CO2浓度上升、气温增高和水文条件改变等对世界农业和中国农业的正、负面效应进行预测、评估.     

近20年贵州喀斯特山区石漠化与气候变化特征分析

利用1990年TM、2000年ETM+、2010年HJ-01A 3期遥感影像数据和1981-2009年气象要素数据分析研究区近20年石漠化变化特征,以及石漠化变化速率(K)与气温和降水之间的响应特征,结果表明:近20年间研究区石漠化面积变化比较剧烈,石漠化强度变化最大的是潜在石漠化,1990-2000年减少了151.96 km2,2000-2010年面积减少了112.22 km2。1981-2009年研究区气温年际变化整体呈波动上升的趋势,降水呈波动减少趋势。石漠化变化速率(K)与气温和降水的相关性较弱。通过分析可以看出,石漠化对气候变化的响应不敏感,存在一定的滞后性,石漠化的产生和演化更多的是受人为因素的影响。     

2000～2020年西南地区植被NDVI时空变化及驱动机制探究

基于2000～2020年MOD13A3 NDVI时间序列、1999～2020年气象数据以及2000年和2020年两期土地利用类型数据,采用Theil-Sen Median趋势分析、 Mann-Kendall显著性检验、多重共线性检验、残差分析和相对作用分析等方法,分析了西南地区植被NDVI时空变化特征及气候变化和人类活动对植被NDVI变化的驱动机制.结果表明,研究时段内西南地区整体及各地貌单元植被NDVI均呈上升趋势,其中,广西丘陵和云贵高原植被NDVI上升趋势最为显著,青藏高原植被NDVI上升趋势最为微弱.气候变化和人类活动影响下西南地区植被NDVI上升斜率分别为0.001 0 a^-1和0.000 6 a^-1.气候变化和人类活动的共同驱动是引起西南地区植被改善的主要原因.西南地区植被改善主要受区域气候条件的控制,植被退化主要受人类活动的影响.总体上,植被NDVI与最低气温、降水、最高气温、可能蒸散率和相对湿度呈正相关,与平均气温、气压、日照时数、温暖指数和湿度指数呈负相关.最低气温、日照时数和降水是影响西南地区植被NDVI变化的主要气象因子...     

2010～2019年雅鲁藏布江中游植被变化及其对气候因子的响应——以拉林铁路段为例

基于2010~2019年MOD13Q1/NDVI数据,结合研究区地形、1∶100万植被类型图和气象数据,采用趋势分析法、相关分析方法,探讨在气候变化背景下雅鲁藏布江拉林铁路段植被覆盖的时空演变规律及植被与气温、降水的相关性研究。结果表明,2010~2019年研究区生长季NDVI值呈波动上升趋势,增速为0.2%/10a; NDVI值呈四周高中部低,区域植被覆被改善面积(65.66%)大于退化面积(34.34%);植被覆盖变化与同期的降水呈正相关关系,与气温呈负相关;研究区植被生长对降水较气温更敏感,且西部冲积平原、山南宽谷及米林宽谷的灌丛、草原、高山植被和少量的针叶林对水热条件响应较强。     

北部湾沿海地区植被覆盖对气温和降水的旬响应特征

论文分析北部湾沿海地区植被覆盖对气候变化的响应,为该区域植被恢复和植被生产力研究提供依据.基于研究区2000--2011年423景SPOT-VEGETATION逐旬NDVI数据及逐日气温和降水数据,利用像元二分模型,相关分析,偏相关分析和时滞偏相关分析等数理统计方法,对研究区植被覆盖时空变化特征及与旬降水和旬均温的相关性及滞后性进行分析.结果表明:1)近12 a来,北部湾沿海地区植被覆盖度平均值呈增长趋势,由2000年的65.23%增加到2011年的72.02%,增加了6.79%;2)研究区植被生长季旬NDVI均值介于0.21~0.67之间,在不同时期变化是不同的,其值呈现出"降低--增长--降低"3种变化过程;3)各种植被类型与温度具有显著的相关关系,全部通过了0.01的显著性水平,且NDVI与温度的显著性水平高于NDVI与降水的显著性水平,说明北部湾沿海地区植被覆盖NDVI对气象因子中的温度更为敏感;4)NDVI与气温的时滞偏相关系数显著高于NDVI与降水的时滞偏相关系数,旬NDVI与旬降水的滞后时间多集中于6~9旬之间,而旬NDVI与旬气温的滞后时间多以0~5旬为主;5)不同类型植被的生长对气温和降水的响应时间不一致,但与水热条件时滞偏相关系数越高的植被类型响应时间越短.上述研究结果表明,近12 a来北部湾沿海地区植被处于恢复状态,且植被对降水和气温具有明显的阈值和滞后性.     

气候变化对湿地景观格局的影响研究综述

气候变化是影响湿地景观格局变化的主要自然因素。文章从气候变化对湿地水资源面积、湿地土地利用格局、湿地植被空间格局及湿地生物多样性格局的影响研究等方面进行了综述,并对完善气候变化下湿地景观格局变化的研究方法和技术手段进行了探讨。指出:应用气候模型进行未来气候预测时,应合理选择气候变化情景,并确保不同模型的时空尺度匹配;应用"3S"技术提取湿地类型信息、观测湿地土地覆盖变化时要确保信息的精度,不同来源的数据必须采取制图综合等手段;实现气候变化下湿地景观结构与生态过程相结合的动态格局分析。     

Enhancing adaptive capacity to climate change: The case of smallholder farmers in the Brazilian semi-arid region

Climate change is one of the main challenges faced by mankind in this century. Although developing countries have little historical responsibility for climate change, they are likely to be most affected by it since they lack resources to cope with or to adapt to its effects. Studies show that the semi-arid northeast region of Brazil – where the country's poorest populations are concentrated – is one of the most vulnerable to climate change and thus likely to suffer its impacts more severely. The present paper addresses these problems by presenting a concrete initiative for strengthening adaptive capacity in the rural community of Pintadas as a first step in the development of a comprehensive methodology to help smallholder farmers in the region adapt to climate change. Based on the project results this paper highlights the integration of development, adaptive capacity and adaptation strategies. Furthermore, the necessity of vulnerability studies and concrete local experiences is highlighted in order to develop adaptation strategies that can alleviate poverty and minimize climate change impacts for the poor.     

Screening of climatic impacts on a country’s international supply chains: Japan as a case study

Industrial activities are linked through international supply chains, and the impacts that one country experiences can easily influence other countries. Climate change has made it essential for countries to review their supply chains and to prioritize introducing concrete adaptation actions. Therefore, this study aims to demonstrate a method of screening imported products that are highly vulnerable to the impacts of climate change by assessing all imported products in a consistent manner throughout the global supply chain to support a country’s adaptation strategy planning. The study focuses on the potential impacts on land use and human health of climate change effects such as floods and heat waves. Japan was selected for a detailed analysis of its imports. A life-cycle assessment technique was applied to evaluate imported products through their supply chains. In Japan’s case, land use results show that agricultural products imported from the United States of America (US) are highly vulnerable to climate change impacts. In relation to imported meat products, feed production processes are most vulnerable. The human health results show in addition to agricultural imports, electronics and textile imports are also vulnerable. The study recommends that the relevant stakeholders impacted by these products scrutinize their supply chains. Especially, Japan is recommended to collaborate with the US, China, and Southeast Asian countries for increasing resilience to climate change. The results include uncertainties due to limitations of data availability and methodology; however, this method is also applicable to assessing the global trade activities of any country and to supporting global adaptation strategies.     

Regional climate change projections for the Northeast USA

Climate projections at relevant temporal and spatial scales are essential to assess potential future climate change impacts on climatologically diverse regions such as the northeast United States. Here, we show how both statistical and dynamical downscaling methods applied to relatively coarse-scale atmosphere-ocean general circulation model output are able to improve simulation of spatial and temporal variability in temperature and precipitation across the region. We then develop high-resolution projections of future climate change across the northeast USA, using IPCC SRES emission scenarios combined with these downscaling methods. The projections show increases in temperature that are larger at higher latitudes and inland, as well as the potential for changing precipitation patterns, particularly along the coast. While the absolute magnitude of change expected over the coming century depends on the sensitivity of the climate system to human forcing, significantly higher increases in temperature and in winter precipitation are expected under a higher as compared to lower scenario of future emissions from human activities.     

气候变化和人类活动对伊逊河流域径流变化的影响

借助Mann-Kendall趋势检验和突变检验对气象水文序列进行一致性分析,划分基准期（1961—1979年）和影响期（① 1980—1989年、② 1990—1999年、③ 2000—2016年）,利用基准期校准的可变下渗容量（VIC）模型,采用步进式方法,探究气候变化和人类活动对伊逊河流域径流变化的波动影响过程。结果表明:研究区近56年年均气温显著升高,年降水量无明显变化趋势,流域年径流量下降趋势明显,季节尺度上流域非汛期降水量增加显著。气候变化和人类活动均会对径流产生显著影响且作用机理复杂,步进式方法对影响机理的研究较传统方法更能体现其变化过程;在降水丰沛的影响 ② 期,冬季降水量增加会显著增加流域径流量,而在降水略少的影响 ① 期和 ③ 期,蒸发量增加以及土壤含水量降低使得流域径流减少;人类活动耗水在影响 ① 期和 ③ 期引起流域径流减少并且影响作用逐渐增强,影响 ② 期由于城镇化和耕地扩张使得流域产流能力增强导致径流增加。深入研究气候变化和人类活动对径流的影响机制,可为流域水资源管理和规划提供理论依据。     

Linking corporate climate adaptation strategies with resilience thinking

Within modern society, business organizations have a co-evolutionary relationship with society and ecosystems. Business organizations face highly diverse risks which they have to recognize, reflect on and handle. Climate change and its impacts clarify the need for managing overall system risk. Research has shown that climate vulnerability of business organizations in the German food industry is characterized by impacts that, in particular, affect business organizations indirectly. Indirect climate change caused impacts are complex, uncertain and characterized by a high degree of unpredictability. They focus on the derived social, ecological, economic and cultural consequences of the direct physical impacts from a worldwide perspective. This paper shows that introducing resilience thinking helps to identify strategic risks and opportunities coping with climate change caused impacts in sense of corporate climate adaptation strategies. Furthermore, it is shown from a strategic management perspective that mitigation is a profound element of long term adaptation strategies.     

气候变化及人类活动对地表径流改变的贡献率及其量化方法研究进展

地表径流的变化受气候变化和人类活动的双重驱动力作用,定量评估气候变化及人类活动对地表径流变化的影响对水资源管理具有重大意义。论文以水文循环过程为主线,分过程阐述气候变化及人类活动影响地表径流发生变化的机制机理,对各种量化二者对地表径流变化贡献率的方法进行比较,然后分析全球部分流域气候变化和人类活动对地表径流变化影响的差异。研究结果表明：1）气候变化和人类活动参与水文循环的各个过程之中,不同水文过程中气候变化和人类活动影响地表径流变化的途径不同;2）不同量化方法的适用范围和条件不同,不同方法对同一流域的研究结果可能不一致;3）全球不同流域间气候变化和人类活动对地表径流变化贡献率存在明显区域差异。现阶段,综合多种突变检验方法有利于提高识别地表径流突变点的准确率;消除干扰因素（如气象水文等数据选取、模型方法参数设置和方法本身不确定性）有利于提高同一流域不同量化方法评估结果的一致性;如何更好地耦合基于物理的水文模型方法和基于数学的经验统计方法来量化二者对地表径流变化的贡献率是未来研究的重点。     

Monetizing the impacts of climate change on the Greek mining sector

Nowadays, it is widely acknowledged that climate change will affect mining industry and may pose significant risks to the economic viability of mining enterprises. So far, the vast majority of recent research efforts on this subject have focused, not surprisingly, on mining activities operating in northern areas. Nevertheless, climate change is an issue that should be of concern for all mining industry, worldwide. For this reason, this paper addresses the impacts of climate change on mining industry in the Mediterranean Region, and specifically Greece, and attempts, for the first time, to estimate the cost of climate change-related risks to the sector by means of a ??top-down?? approach. Towards this direction, climate projections based on the United Nations International Panel on Climate Change (IPCC) A1B emission scenario (which refers to a fast global economic growth, global population that peaks mid-century and then decreases, and a rapid introduction of new and more efficient technologies and a balanced energy source mix) for the time period 2021?C2050 are compared to climate data for the time period 1991?C2000, in order to quantify the impacts in physical terms. Then, both secondary and primary data sources are used to monetize the cost of climate change impacts to mining enterprises. Although there exist certain limitations in the research due to data unavailability, the study reveals the importance of the problem and provides useful findings. More specifically, the estimates indicate that Greece??s mining industry could face economic losses from climate change as high as US$0.8 billion. The cost of adaptation measures is about US$312 million, while that of mitigation measures that will burden the sector through the increased electricity prices is about US$478 million.     

Climate change impact and potential adaptation strategies under alternate climate scenarios for yam production in the sub-humid savannah zone of West Africa

Globally, yam (Dioscorea spp.) is the fifth most important root crop after sweet potatoes (Ipomoea batatas L.) and the second most important crop in Africa in terms of production after cassava (Manihot esculenta L.) and has long been vital to food security in sub-Saharan Africa (SSA). Climate change is expected to have its most severe impact on crops in food insecure regions, yet very little is known about impact of climate change on yam productivity. Therefore, we try estimating the effect of climate change on the yam (variety: Florido) yield and evaluating different adaptation strategies to mitigate its effect. Three regional climate models REgional MOdel (REMO), Swedish Meteorological and Hydrological Institute Regional Climate Model (SMHIRCA), and Hadley Regional Model (HADRM3P) were coupled to a crop growth simulation model namely Environmental Policy Integrated Climate (EPIC) version 3060 to simulate current and future yam yields in the Upper Ouémé basin (Benin Republic). For the future, substantial yield decreases were estimated varying according to the climate scenario. We explored the advantages of specific adaptation strategies suggesting that changing sowing date may be ineffective in counteracting adverse climatic effects. Late maturing cultivars could be effective in offsetting the adverse impacts. Whereas, by coupling irrigation and fertilizer application with late maturing cultivars, highest increase in the yam productivity could be realized which accounted up to 49 % depending upon the projection of the scenarios analyzed.