基于GIS和生态位模型的西藏红豆杉遗传景观和物种分布格局（英文）

广泛分布于喜马拉雅山脉和我国华南地区的西藏红豆杉频临灭绝,揭示空间遗传结构和物种分布变化对于理解西藏红豆杉的进化过程及其物种保护尤为重要。基于西藏红豆杉48个种群的分子变异数据,利用反距离权重空间差值方法得到遗传多样性和遗传分化分布图,识别出6个遗传多样性和5个遗传分化高值区域,这些重点区域主要位于我国南方的几个山区,这些区域在未来应给予重点保护;基于Monmonier算法识别出4条地理隔离:东喜马拉雅山脉、横断山脉、云南高原和台湾海峡;利用生态位模型模拟三个历史时期的物种分布格局,从末次间冰期至末次冰盛期,物种经历一次向高原西部的面积扩张,这与典型的冰期物种退缩模式不同;末次冰盛期之后,物种面积逐渐缩小,呈现破碎化分布。因此,地理景观特征和第四纪气候波动对西藏红豆杉遗传结构和分布格局影响很大。     

基于NPP数据和样区对比法的青藏高原自然保护区保护成效分析

在青藏高原选择11个代表性自然保护区,基于高寒草地植被净初级生产力（Net Primary Production,简写NPP）变化过程数据,比较分析了自然保护区与其相邻等面积区域的NPP变化差异;采用样区对比法,在自然保护区内外选取21组对比样区,比较自然保护区建立前后及其内外的生态状况,评估了自然保护区的保护成效。研究表明：1. 1982-2009年间,82%的代表性自然保护区NPP比保护区周邻区域及青藏高原的平均水平低,反映了自然保护区的生态系统状况更为脆弱;2. 在代表性自然保护区中,曼则塘自然保护区的NPP增长趋势最为明显,塔什库尔干野生动物自然保护区的NPP增长趋势最弱;除色林错自然保护区外,以草甸和湿地为主的自然保护区NPP增速明显高于以草原与荒漠草地为主的自然保护区;3. 代表性样区的研究发现：① 自然保护区内76%以上的样区和国家级保护区内82%以上的样区NPP增加幅度明显高于保护区外对应样区的增幅;② 取得明显保护效果的有中昆仑、长沙贡玛、若尔盖和色林错等自然保护区;曼则塘自然保护区的东南部边缘地区和塔什库尔干野生动物自然保护区的北部边缘地区的效果不明显,可能与保护区及其周邻地区人类扰动增强密切相关;③ 高寒草甸类型自然保护区的保护效果最为显著,高寒草原类型自然保护区的保护效果较差。本研究展示了样区对比法在评估大区域生态变化中所具有的独特优势,其关键在于科学设计样区并进行合理的空间抽样。     

1971-2009 年珠穆朗玛峰地区尼泊尔境内气候变化

利用珠穆朗玛峰南坡尼泊尔境内(科西河流域) 的10 个气象站1971-2009 年月平均气温、月平均最高、最低气温和逐月降水资料, 采用线性趋势、Sen 斜率估计、Mann-Kendall 等方法分析区域气候变化状况及其时空特征, 并与珠穆朗玛峰北坡地区气候进行比较, 分析了珠穆朗玛峰地区气候变化的特征与趋势。结果表明:(1) 1971-2009 年间, 珠穆朗玛峰南坡年平均气温为20.0℃, 线性升温率为0.25℃/10a, 与北坡主要受年平均最低气温影响相反, 增幅主要受年平均最高气温升高的影响, 并且在1974 年及1992 年间出现两次显著增温, 增温特别明显的月份为2 月和9 月;(2) 该地区降水变化的局地性较强, 近40 年间年平均降水量为1729.01 mm, 年平均降水量以每年约4.27 mm的线性增幅有所增加, 但并不显著, 且降水月变化和季变化特征均不明显;(3) 由于珠穆朗玛峰南坡受到季风带来暖湿气流和喜马拉雅山阻挡的双重影响, 珠峰南坡的年平均降水量远高于北坡;(4) 珠穆朗玛峰南坡气温变暖的海拔依赖性并不明显, 且南坡地区的变暖趋势并没有北坡变暖趋势明显。     

青藏高原高寒草地净初级生产力(NPP)时空分异

基于1982-2009 年间的遥感数据和野外台站生态实测数据,利用遥感生产力模型(CASA模型) 估算青藏高原高寒草地植被净初级生产力(NPP),分别从地带属性(自然地带、海拔高程、经纬度)、流域、行政区域(县级) 等方面对其时空变化过程进行分析,阐述了1982 年以来青藏高原高寒草地植被NPP的时空格局与变化特征。结果表明:① 青藏高原高寒草地NPP多年均值的空间分布表现为由东南向西北逐渐递减;1982-2009 年间,青藏高原高寒草地的年均总NPP为177.2×10¹² gC·yr^-1,单位面积年均植被NPP为120.8 gC·m^-2yr^-1;② 研究时段内,青藏高原高寒草地年均NPP 在112.6~129.9 gC·m^-2yr^-1 间,呈波动上升的趋势,增幅为13.3%;NPP 增加的草地占草地总面积的32.56%、减少的占5.55%;③ 青藏高原多数自然地带内的NPP呈增加趋势,仅阿里山地半荒漠、荒漠地带NPP呈轻微减低趋势,其中高寒灌丛草甸地带和草原地带的NPP增长幅度明显大于高寒荒漠地带;年均NPP增加面积比随着海拔升高呈现"升高—稳定—降低"的特点,而降低面积比则呈现"降低—稳定—升高"的特征;④ 各主要流域草地年均植被NPP均呈现增长趋势,其中黄河流域增长趋势显著且增幅最大。植被NPP和盖度及生长季时空变化显示,青藏高原高寒草地生态系统健康状况总体改善局部恶化。     

Climate change on the southern slope of Mt. Qomolangma （Everest） Region in Nepal since 1971

Based on monthly mean, maximum, and minimum air temperature and monthly mean precipitation data from 10 meteorological stations on the southern slope of the Mt. Qomolangma region in Nepal between 1971 and 2009, the spatial and temporal characteristics of climatic change in this region were analyzed using climatic linear trend, Sen＇s Slope Estimates and Mann-Kendall Test analysis methods. This paper focuses only on the southern slope and attempts to compare the results with those from the northern slope to clarify the characteristics and trends of climatic change in the Mt. Qomolangma region. The results showed that： （1） between 1971 and 2009, the annual mean temperature in the study area was 20.0℃, the rising rate of annual mean temperature was 0.25℃/10a, and the temperature increases were highly influenced by the maximum temperature in this region. On the other hand, the temperature increases on the northern slope of Mt. Qomolangma region were highly influenced by the minimum temperature. In 1974 and 1992, the temperature rose noticeably in February and September in the southern region when the increment passed 0.9℃. （2） Precipitation had an asymmetric distribution; between 1971 and 2009, the annual precipitation was 1729.01 mm. In this region, precipitation showed an increasing trend of 4.27 mm/a, but this was not statistically significant. In addition, the increase in rainfall was mainly concentrated in the period from April to October, including the entire monsoon period （from June to September） when precipitation accounts for about 78.9% of the annual total. （3） The influence of altitude on climate warming was not clear in the southern region, whereas the trend of climate warming was obvious on the northern slope of Mt. Qomolangma. The annual mean precipitation in the southern region was much higher than that of the northern slope of the Mt. Qomolangma region. This shows the barrier effect of the Himalayas as a whole and Mt. Qomolangma in particular.     

青藏高原高寒草地净初级生产力(NPP)时空分异(英文)

Based on the GIMMS AVHRR NDVI data(8 km spatial resolution) for 1982–2000, the SPOT VEGETATION NDVI data(1 km spatial resolution) for 1998–2009, and observational plant biomass data, the CASA model was used to model changes in alpine grassland net primary production(NPP) on the Tibetan Plateau(TP). This study will help to evaluate the health conditions of the alpine grassland ecosystem, and is of great importance to the promotion of sustainable development of plateau pasture and to the understanding of the function of the national ecological security shelter on the TP. The spatio-temporal characteristics of NPP change were investigated using spatial statistical analysis, separately on the basis of physico-geographical factors(natural zone, altitude, latitude and longitude), river basin, and county-level administrative area. Data processing was carried out using an ENVI 4.8 platform, while an ArcGIS 9.3 and ANUSPLIN platform was used to conduct the spatial analysis and mapping. The primary results are as follows:(1) The NPP of alpine grassland on the TP gradually decreases from the southeast to the northwest, which corresponds to gradients in precipitation and temperature. From 1982 to 2009, the average annual total NPP in the TP alpine grassland was 177.2×1012gC yr-1(yr represents year), while the average annual NPP was 120.8 gC m-2yr-1.(2) The annual NPP in alpine grassland on the TP fluctuates from year to year but shows an overall positive trend ranging from 114.7 gC m-2yr-1in 1982 to 129.9 gC m-2yr-1in 2009, with an overall increase of 13.3%; 32.56% of the total alpine grassland on the TP showed a significant increase in NPP, while only 5.55% showed a significant decrease over this 28-year period.(3) Spatio-temporal characteristics are an important control on annual NPP in alpine grassland: a) NPP increased in most of the natural zones on the TP, only showing a slight decrease in the Ngari montane desert-steppe and desert zone. The positive trend in NPP in the high-cold shrub-meadow zone, high-cold meadow steppe zone and high-cold steppe zone is more significant than that of the high-cold desert zone; b) with increasing altitude, the percentage area with a positive trend in annual NPP follows a trend of"increasing-stable-decreasing", while the percentage area with a negative trend in annual NPP follows a trend of "decreasing-stable-increasing", with increasing altitude; c) the variation in annual NPP with latitude and longitude co-varies with the vegetation distribution; d) the variation in annual NPP within the major river basins has a generally positive trend, of which the growth in NPP in the Yellow River Basin is most significant. Results show that, based on changes in NPP trends, vegetation coverage and phonological phenomenon with time, NPP has been declining in certain places successively, while the overall health of the alpine grassland on the TP is improving.     

碳排放和减碳的社会经济代价研究进展与方法探究

碳排放和减碳的社会经济影响与代价评估日益受到学术界和决策者的关注,本文综合分析了全球范围内碳排放与减碳社会经济影响的重要科学问题和国内外研究现状,基于卫星最新观测到的全球CO₂非均匀分布的事实,针对温控1.5 ℃和2 ℃阈值情景,探讨了全球二氧化碳非均匀动态分布与地表温度时空关系,全球二氧化碳非均匀动态分布状况下主要国家碳排放空间评价以及温控1.5 ℃和2 ℃阈值情景下中国碳排放和减碳社会经济代价评估等问题可采取的技术模型方案,并提出了构建新气候变化经济学的理论方法与技术体系。本文构建的技术路线和研究方法拟为国家制订各项应对碳排放和减碳战略与对策、减缓气候变化并实现可持续转型、提升中国在应对气候变化领域的国际话语权等方面提供决策支持。     

百年尺度不同区域地表气温对CO2浓度非均匀动态分布敏感度的研究

地球系统模式结果表明大气CO₂浓度的快速增加是气候变化重要的原因之一。卫星资料分析结果表明，大气CO₂浓度并非均一的，而是有明显的区域差异，以人类活动为主的碳排放会影响这一区域差异。这种空间差异如何影响区域地表气温对CO₂的敏感度，需要进一步深入系统的研究，利用地球系统模式BNU-ESM(Earth System Model of Beijing Normal University)进行数值模拟，并与观测数据进行比较，结果表明：在试验模拟结果2°C阈值内，非均匀CO₂浓度试验的CO₂浓度增加阈值范围小于均匀CO₂浓度试验结果，偏少约为4.3 ppm(10₆)。在区域尺度上，中国地表气温对CO₂敏感度普遍低于美国、欧洲以及北半球平均水平，这表明CO₂浓度空间差异对地表气温的敏感度的影响存在明显区域差异，很可能是CO₂浓度辐射效应与气候系统反馈过程的共同作用结果，这需要进一...