青藏高原纳木错和安多牧区室内空气污染研究

2009年夏季在青藏高原纳木错和安多牧区对牧民帐篷内细颗粒(PM2.5)浓度和一氧化碳(CO)的含量进行了观测,以认识牧区室内空气中PM2.5和CO的污染水平、日变化特征及主要影响因素,以及不同人群在污染物中的暴露水平.观测结果表明,未安装烟囱的帐篷内PM2.5浓度和CO平均含量(体积分数)分别为1.272 mg·m-...     

青藏高原土壤有机碳密度垂直分布研究

通过对青藏高原土壤普查数据的整理分析,定量研究了青藏高原28个典型土壤类型、14个主要生态系统类型0～20cm、20～50em及50～100cm深度内土壤有机碳密度的垂直分布规律.结果表明,青藏高原28个典型土壤类型3个土层的有机碳密度平均值为(6.16±1.08)kg·m-2、(5.06 ±0.85)kg·m-2、(5.30±0.82)kg·m-2;在0～100cm土层内,暗棕壤、沼泽土的有机碳密度显著高于其它土壤类型,而高山漠土、灰棕漠土、亚高山漠土的有机碳密度不仅远远低于区域平均水平,而且显著低于其它土壤类型.14个典型生态系统土壤的有机碳密度均值为(7.47±1.38)kg·m-2、(6.07±1.24)kg·m-2、(6.46±1.16)kg·m-2;其中,以沼泽草甸、针叶林土壤的有机碳密度最高,而温性荒漠、高寒荒漠、高寒草原及亚高山草原土壤有机碳密度显著低于其它生态系统.这不仅体现了青藏高原土壤-植被显著的地带性分布,而且为青藏高原土壤有机碳循环模型,及有机碳对全球变化的响应研究提供重要的基础数据.     

青藏高原纳木错流域河水主要离子化学特征及来源

2006年6～10月对青藏高原纳木错流域你亚曲、曲嘎切、昂曲3条河流进行了连续采样,同时在2005年9月和2006年9月2次环纳木错考察中采集了其他河水的样品.河水中主要阴离子（Ca²⁺、 Mg²⁺、 Na⁺、 K⁺）和阳离子（Cl^-、 NO^-₃、 HCO^-₃、 SO^2-₄）的分析结果表明,你亚曲、曲嘎切和昂曲的离子总量（TDS）分别为79.48、 23.44和111 mg/L.离子总量明显低于青藏高原及我国其他河流,且相互之间存在较为明显的差距. 3条河流中,曲嘎切为重碳酸盐钙型水,昂曲介于重碳酸盐钠型和重碳酸盐钙型之间,你亚曲的化学类型介于两者之间.河流水化学的时间变化显著,而且与流量成一定的反相关关系.利用主成分分析和相关分析得出：你亚曲河水主要化学成分来源于碳酸盐中的Ca²⁺和HCO^-₃;曲嘎切来源于冰川融水以及碳酸盐中的Ca²⁺、HCO^-₃和Na⁺;昂曲则来源于蒸发岩中的Na⁺、Mg²⁺和Cl^-.     

生态补偿对象的空间选择研究——以甘南藏族自治州草地生态系统的水源涵养服务为例

生态补偿对象的空间选择研究是生态补偿机制的基础性和支撑性研究,对建立高效合理的生态补偿机制具有十分关键的作用。目前国内在生态补偿的理论和实践研究中很少专门研究补偿对象的选择问题,这种不考虑空间异质性对整个补偿区域实施统一的标准补偿势必会影响到补偿的效率。有鉴于此,基于补偿资金效率考虑,构建以土地所有者提供的生态系统服务、土地所有者的参与成本和生态系统服务受损风险为参数的空间选择模型,以甘南藏族自治州草地生态系统水源涵养服务为例,乡镇为基本研究单元,采用聚类分析法将全州划为五大等级补偿区:优先补偿区、次级优先补偿区、次级补偿区、临界补偿区和潜在补偿区或可能补偿区。对各级补偿区的特征分析结果表明:①草地生态系统的优先补偿主体主要分布在纯牧区,而非优先补偿区主要分布在半农半牧区、林业区和农业区;②基于补偿资金效率考虑的补偿优先度与草地生态系统退化风险呈现高度的吻合状态,草地生态系统的优先补偿区又是高退化风险区(生态脆弱区);③草地生态系统的补偿效率与生态重要性呈现出吻合的状态,即草地生态系统的优先补偿区又是重要生态功能区;④甘南州近17%的草地为低效率和无效率补偿区,也是非生态脆弱区和非重要生态功能区,基于生态脆弱性、生态重要性和补偿效率考虑,这部分草地可暂时给予较低标准的补偿。     

Spatial and temporal patterns of soil erosion in the Tibetan Plateau from 1984 to 2013北大核心CSCD

Soil erosion has a critical effect on ecological security and socioeconomics, which may deteriorate ecosystem services and common human well-being. The revised universal soil loss equation (RUSLE) was applied to assess soil erosion from 1984 to 2013 in the Tibetan Plateau and analyzed the temporal and spatial variation of soil erosion intensity. Furthermore, the temporal and spatial variation rates of soil erosion were explored across different ecosystems. The results indicated that the annual soil erosion fuctuated in the Tibetan Plateau, the soil erosion intensity decreased from south to north, and the most serious soil erosion was mainly distributed in the southern Tibetan Plateau (Xigaze and Changdu regions, Lhasa, and north of the Shannan region). The soil erosion intensity was higher in shrub, alpine meadow, and sparse vegetation ecosystems. The highest soil erosion was found in alpine meadow (2.17 × 1010 t), followed by alpine grassland (1.59 × 1010 t) and sparse vegetation (1.30 × 1010 t) ecosystems. Meanwhile, although the most serious soil erosion intensity was found in the regions of 3 000-4 000 m altitude, the soil erosion was mainly observed in the regions of 4 000-5 000 m altitude. In the three most recent decades, annual soil erosion decreased at a rate of-1.78 × 108 t/a. Additionally, soil erosion mainly increased in south of the Qiangtang Plateau and in the periphery of the Qaidam basin. Decreased soil erosion was mainly found along the Hengduan Mountains, central Himalayas. Although the increased annual normalized difference vegetation index (NDVI) had positive effects for soil protection, changes in soil erosion was mainly controlled by the change of annual precipitation. Thus, the fragility of ecological systems and increased rainfall erosivity accounted for the obviously increased soil erosion in the alpine grassland ecosystem (1.19 × 10 t/a). However, increased ecosystem stability and decreased rainfall erosivity contributed to the decreased soil erosion in forest and shrub ecosystems, by-0.77 × 10 t/a and-1.65 × 10 t/a, respectively. The slightly decreased rainfall erosivity accounted for a decrease of soil erosion in the sparse vegetation ecosystem (-0.44 × 10 t/a). Meanwhile, soil erosion has decreased in the alpine meadow ecosystem over the past 30 years, which may owing to the relatively higher NDVI that neutralized the increase of rainfall erosivity to some extent. This study revealed serious soil erosion regions and ecosystems in the Tibetan Plateau and explored possible reasons for variations in soil erosion in different ecosystems, which may provide a scientific reference for soil erosion conservation and control in the near future. © 2018 Science Press. All rights reserved.     

一次低纬高原暖区暴雨对流系统演变及边界层触发

利用高空和地面区域站、FY2G卫星TBB、昆明C波段多普勒雷达、闪电观测资料和NCEP/NCAR1° ×1°再分析资料,分析了2017年7月12-13日云南副高外围暖区暴雨对流系统演变特征及边界层触发成因.结果表明,滇东中部和滇中中部暴雨,12日08:00以锋面降水为主,14:00后以暖区降水为主;环境场具有弱垂直风切...     

青藏高原东部原始云杉林及其系列采伐迹地3个林地藓类种群结构与生物量的差异性评估

森林采伐对地表藓类种群的发育具有重要影响,但很少有人评估这种影响后迹地上的藓类种群状况.本研究调查了四川壤塘县4个系列采伐迹地和附近原始云杉林下3种林地优势藓类种群[锦丝藓(Actinothuidium hookeri)、塔藓(Hylocomium splendens)和大羽藓(Thuidium cymbifolium)]的发生频率和盖度、生物量以及维管束植物盖度和凋落物盖度,通过方差分析检验比较分析了3个藓类种群的盖度和生物量在不同采伐迹地及原始林之间的差异,评估了其自然发展趋势,揭示了维管束植物结构参数与藓类种群盖度和生物量之间的相互关系.发现:1)3种藓类种群的盖度和生物量在采伐迹地和附近原始林间有显著差异,但在系列采伐迹地之间没有明显差异,证实森林采伐后林生地表藓类种群显著衰退,随着迹地自然恢复进程这些藓类种群并未能逐渐恢复;2)微环境尺度上的藓类盖度和生物量在系列采伐迹地之间有较大的波动,Spearman相关分析显示乔木和草本层盖度是影响藓类种群生物量的主要因子.综合分析表明,采伐导致的环境变化以及藓类自身的牛态适应性和繁殖策略综合决定着藓类种群的自然恢复能力;如果仅仅依靠迹地自然恢复过程,顶极藓类种群(塔藓和锦丝藓)是难以自然复壮的.图6表4参44     

青藏高原东缘典型流域生态系统#br# 服务的地形梯度效应#br# ——以岷江上游为例

山地生态系统受地形因素影响在垂向上呈现出明显的空间分异特征,厘清山地生态系统服务的空间分异特征是区域土地利用和生态系统管理的基础。以青藏高原东缘典型流域岷江上游为研究区,将2000、2005、2010年土地利用数据及DEM数据作为数据源,运用地形位指数、相对变化率和敏感性系数,研究土地利用变化下的生态系统服务价值的地形梯度效应。结果表明：（1）岷江上游土地利用类型以林地和草地为主,约占总面积的60%和30%;2000～2010年,1~4级地形位上除未利用地外的其他土地利用类型分布指数变化较为明显,林地和耕地不断降低,草地、水域和建设用地不断升高。（2 ）研究期内岷江上游生态系统服务价值总量和各类型生态系统服务的价值随地形位的升高均呈倒V形变化;2000～2010年,研究区1~12级地形位上生态系统服务价值呈增加趋势,13~20级地形位上呈减小 趋势。（3）2000～2010年,各地形位上生态系统服务价值变化趋势与研究区一致;除1级地形位上生态系统服务价值变化幅度略高于研究区外,2~20级地形位上的变化幅度与研究区基本一致。（4）研究 区各土地利用类型的单位面积生态系统服务价值敏感性系数均小于1,单位面积生态系统服务价值的变化缺乏弹性,研究结果可信;2000～2010年各地形位上水域、草地和荒漠敏感性系数不断上升,林地 和耕地敏感性系数不断下降。通过对土地利用变化驱动下的生态系统服务价值的地形梯度效应进行定量测度,明晰了生态系统服务价值随地形梯度变化所呈现的空间分异规律及其变化特征,为保护区域 生态系统,合理利用土地资源提供理论依据。 关键词： 土地利用;生态系统服务;地形位指数;地形梯度;岷江上游;青藏高原东缘     

利用蒸散比和气温模拟藏北高寒草甸的光能利用效率

光能利用效率(light use efficiency,LUE)是指初级生产力与植被冠层吸收的光合有效辐射(absorbed photosynthetically active radiation,APAR)之比,对LUE的准确定量化模拟是定量化模拟初级生产力的基础。研究利用一个基于通量观测的LUE模型(EC-LUE)模拟了2004-2005年藏北高寒草甸的LUE,该模型的参数只有蒸散比(Evaporative Fraction,EF)和气温(air temperature,T_a),EF和T_a分别为最大光能利用效率(maximum light use efficiency,LUE_max)的水分和温度胁迫因子,在研究中LUE_max取0.85 g C/MJ。EF和T_a对LUE_max的胁迫作用存在两种方式:连乘方式和最小限制因子方式,这两种方式模拟的光能利用效率分别记为LUE_multipEC和LUE_minEC,并与通量观测数据估算的LUE(LUE_EC)进行了比较。结果表明,LUE_minEC显著高估了LUE_EC,而LUE_EC和LUE_{multipEC差异不显著;LUEmultipEC和LUEminEC分别解释了89%以上LUEEC的季节变化;EF显著地解释了土壤表层含水量、 比湿,且在一定程度上解释了相对湿度的季节变化;相对于水分胁迫因子,温度胁迫因子更能够解释LUEEC的季节变化。因此,EC-LUE模型可以定量化高寒草甸LUE的季节变化,同时EF可以定量化高寒草甸生态系统水分状况的季节变化。}     

Mountain inhabitants’ perspectives on climate change,and its impacts and adaptation based on temporal and spatial characteristics analysis: a case study of Mt. Yulong Snow,Southeastern Tibetan Plateau

Based on the results of questionnaires issued to 202 local residents in the Mount Yulong Snow region, southeastern Tibetan Plateau, this study analyzes mountain residents’ perspectives on climate change and its impacts, their strategies to adapt to climate change impacts, including their willingness or otherwise to become ecological migrants, and some of the factors that influence their perceptions. Overall, local perception of climate change and its impacts corresponds to the patterns of observed climate change revealed by climate records. The intensity of climate change perception shows a highly significant correlation with residents’ age and villages’ elevation gradient. Most respondents did not believe that climate change affected crop growing and their yields, but the number of crop insect pests was thought to be increasing slightly and the crop growth period to be extending. Nearly all respondents believed that climate change seriously affects the mountain tourism economy, and their way of life and spiritual world. Persistent drought in recent years has forced mountain dwellers to adjust industrial structure, save water in the agricultural economy, participate in mountain tourism and work outside the home in order to adapt to climate change impacts and supplement their meager farm incomes. Additionally, residents expect to receive government compensation and relief to mitigate natural disaster damage.