黑水河干旱河谷沿程土壤物理参数梯度变化特征研究

横断山区干旱河谷是具有典型的旱季和雨季的特殊气候特征的区域，本区域土壤退化和荒漠化极大制约了区域农业的发展。本文研究了金沙江干热河谷区支流黑水河从源头到河口未扰动土壤的物理参数变化特征。结果表明，沿河土壤物理呈现不同变化趋势，砾石在中游部分河段和河口段高，而〉5mm团聚体的变化则相反；5～1mm的团聚体变化不大；〈1mm团聚体河口和源头段高于其余地段；土壤容重沿程增大，非饱和导水率源头地段土壤最高。本研究初步揭示了干旱河谷土壤不均匀，不同水热条件及其组合可能对退化程度有至关重要的影响。这表明横断山区不同的干旱河谷地段土壤和植被退化途径、退化特征和退化过程不同，开发和治理途径与方式也应当不同。     

Effect of temperature and moisture on soil organic carbon mineralization of predominantly permafrost peatland in the Great Hing’an Mountains, Northeastern China

Boreal peatlands represent a large global carbon pool.The relationships between carbon mineralization,soil temperature and moisture in the permafrost peatlands of the Great Hing'an Mountains,China,were examined.The CO2 emissions were measured during laboratory incubations of samples from four sites under different temperatures(5,10,15,and 20°C) and moisture contents(0%,30%,60%,100% water holding capacity(WHC) and completely water saturated).Total carbon mineralization ranged from 15.51 to 112.92 mg C under the treatments for all sites.Carbon mineralization rates decreased with soil depth,increased with temperature,and reached the highest at 60% WHC at the same temperature.The calculated temperature coefficient(Q10) values ranged from 1.84 to 2.51 with the soil depths and moisture.However,the values were not significantly affected by soil moisture and depth for all sites due to the different peat properties(P 0.05).We found that the carbon mineralization could be successfully predicted as a two-compartment function with temperature and moisture(R2 0.96) and total carbon mineralization was significantly affected by temperature and moisture(P 0.05).Thus,temperature and moisture would play important roles in carbon mineralization of permafrost peatlands in the Great Hing'an Mountains,indicating that the permafrost peatlands would be sensitive to the environment change,and the permafrost peatlands would be potentially mineralized under future climate change.     

天山山地河流水体中微量重金属的分布特征及形态分析

为了解绿洲经济迅速发展背景下天山山地河流水体中重金属分布特征及形态特征,对乌鲁木齐-阿克苏、巴里坤-伊吾、昭苏-特克斯等3个区段河流干支流重金属Zn、Cu、Pb、Cr、As、Hg、Cd的分布、来源、污染状况及存在形态进行了分析.结果表明:1天山山地各取样河流的p H值大部分在8.0左右,为偏碱性的环境;各取样点水体的氧化还原反应电位值在150~200 m V之间,为弱氧化的环境.水质评价表明,3个采样区段河流中7种重金属的含量均低于国家Ⅰ类水质标准及WHO饮用水健康的建议标准.2多元统计分析表明,7种重金属可以归为3个主成分,其中PC1(Hg、Zn和Pb)主要受人为污染因素的影响;PC 2(Cr和As)主要受自然地质背景的影响;PC 3(Cd和Cu)同时受人为和自然因素的共同影响.3污染评价表明,天山山地河流中7种重金属的单因子污染指数值和综合污染指数值均小于1,属于安全等级,清洁水平.4形态分析表明,重金属Pb、Cd和Hg在天山中部的乌鲁木齐-阿克苏区段干支流,重金属As和Cu在天山东部的巴里坤-伊吾区段和天山西部的昭苏-特克斯区段干支流中溶解态的含量均大于50%,生物毒性较大.总体上,3个采样区段河流干支流重金属的总量及溶解态含量均较低,未造成污染.但在天山山地中部的乌鲁木齐-阿克苏区段,河流干支流中重金属Pb、Cd和Hg的总量及溶解态含量较高.应加强对该区域人类活动的合理规划以及河流水质监测,防止因人为污染而导致河流水体中重金属的含量过高,危害生态环境.     

四川白河自然保护区大熊猫对生境的利用

利用路线法在野外调查了四川九寨沟县白河自然保护区：109个样点的大熊猫粪便等痕迹及其所处生境的特征，共发现有29个大熊猫活动样点，其中，大熊猫粪便样点27个、食迹样点2个．把各样点的各种生境特征作为因素，把每一因素的不同情况设置为水平，进行独立性检验．检验的结果表明白河的大熊猫：1)主要在halt2600～3120m取食；2)偏好在有水源的生境活动；3)对坡向有明显的选择性；4)对华西箭竹有明显的偏好，且在生长良好、盖度较高的生境活动频繁；5)明显回避有挖药活动的生境，偏好在没有人类干扰的生境活动。     

哀牢山西坡主要植被类型的特征与物种组成

研究了云南哀牢山西坡主要植被类型的物种组成和群落生态特征,结果如下: 1)物种多样性在低山季风常阔叶林中最高; 2)乔木径级在中山湿性常绿阔叶林中最大,而乔木密度则在山顶苔藓矮林最大; 3)当取样面积达1 500m2后,各植被类型物种增加速度变得缓和. 图 4表 3参 32     

中昆仑山形成时代与隆升幅度——基于夷平面与磷灰石裂变径迹研究

青藏高原北缘蚕眉山地区为主夷平面残留区(属高原腹地),有关火山岩年龄揭示夷平面于13 Ma前已基本形成,并于3.7Ma前解体。在中昆仑山前山和后山分别获得(4.2±0.8)Ma和(3.9±0.6)Ma的磷灰石裂变径迹年龄。夷平面解体年代和磷灰石裂变径迹年龄指示一次明显的构造抬升,并与青藏运动A幕相对应。进一步的地貌-沉积分析表明,昆仑山北面山前盆地上新世—早更新世沉积的厚度巨大的西域组砾岩主要来源于昆仑山的剥蚀作用,证明昆仑山4 Ma左右开始即相对南面高原腹地大幅隆起。根据磷灰石裂变径迹年龄,推算昆仑山区已剥蚀掉的古夷平面(虚拟面)对应现代海拔高度约为8 200 m,而现代高原腹地夷平面残留实体海拔为5 200 m左右,据此计算出昆仑山4 Ma以来较高原腹地(蚕眉山地区)相对抬升了约3 000 m。     

基于TRMM降水订正数据的祁连山地区最大降水高度带研究

采用TRMM卫星反演月降水数据和气象台站实测降水数据,通过误差评估等数理统计方法验证数据,并结合Kriging法对TRMM降水数据进行订正,以此研究了祁连山地区最大降水高度带的时空变化。结果表明：（1）TRMM降水数据在祁连山地区的整体适用性较好。其中TRMM降水数据与台站实测值的年均降水量相关系数达0.94;季节平均降水量的相关系数分别为春季（0.87）、夏季（0.89）、秋季（0.88）、冬季（0.70）。（2）祁连山地区27个气象台站实测值与TRMM降水数据的相关性较好,但在个别台站误差较大且存在低值高估、高值低估的现象。（3）祁连山地区年均降水量自东向西呈减少趋势。东、中、西三段最大降水高度带分别为4100 m、4500 m、4700 m,年均降水量的垂直变化率分别为16.6 mm/100 m、10.8 mm/100 m、9.8 mm/100 m。（4）1998-2016年祁连山地区东、中、西三段降水量均呈波动增加,最大降水高度带也呈波动上升趋势,祁连山地区年内各季节最大降水高度带按夏、春、秋、冬的次序降低。     

祁连山东端地表及地下水水化学时空变化特征

于2016~2017年5~9月采集祁连山东端（乌鞘岭、古浪、天祝）的地表水和地下水样品进行水化学分析,综合运用统计分析、Piper三线图、Gibbs图以及离子比值等方法探究了祁连山东端地表水和地下水主要离子组成特征、来源以及时空变化.结果表明,祁连山东端地表水和地下水化学组成中优势阳离子为Ca²⁺和Na⁺,Ca²⁺的平均浓度为76.897mg/L,占比73.89%;Na⁺的浓度为16.592mg/L,占比15.94%.优势阴离子为HCO₃^-和SO₄^2-,HCO₃^-浓度190.117mg/L,占比68.71%;其次是SO₄^2-,平均值为67.565mg/L,占比为24.42%.乌鞘岭河水、地下水,天祝河水、地下水的水化学类型为HCO₃^--Ca²⁺型,古浪河水、地下水水化学类型为HCO₃^--Ca²⁺-Mg²⁺型,处于水化学易变区.不同水体离子来源于岩石风化,主要受碳酸盐与硅酸盐风化溶解共同作用控制,人类活动在一定程度上贡献了水体的离子来源.不同水体主要离子浓度的时间变化特征各不相同,整体上大部分水体的离子浓度随时间变化不明显,总体趋势较平缓.     

Predicting tree distributions in an East African biodiversity hotspot: model selection, data bias and envelope uncertainty

The Eastern Arc Mountains (EAMs) of Tanzania and Kenya support some of the most ancient tropical rainforest on Earth. The forests are a global priority for biodiversity conservation and provide vital resources to the Tanzanian population. Here, we make a first attempt to predict the spatial distribution of 40 EAM tree species, using generalised additive models, plot data and environmental predictor maps at sub 1 km resolution. The results of three modelling experiments are presented, investigating predictions obtained by (1) two different procedures for the stepwise selection of predictors, (2) down-weighting absence data, and (3) incorporating an autocovariate term to describe fine-scale spatial aggregation. In response to recent concerns regarding the extrapolation of model predictions beyond the restricted environmental range of training data, we also demonstrate a novel graphical tool for quantifying envelope uncertainty in restricted range niche-based models (envelope uncertainty maps). We find that even for species with very few documented occurrences useful estimates of distribution can be achieved. Initiating selection with a null model is found to be useful for explanatory purposes, while beginning with a full predictor set can over-fit the data. We show that a simple multimodel average of these two best-model predictions yields a superior compromise between generality and precision (parsimony). Down-weighting absences shifts the balance of errors in favour of higher sensitivity, reducing the number of serious mistakes (i.e., falsely predicted absences); however, response functions are more complex, exacerbating uncertainty in larger models. Spatial autocovariates help describe fine-scale patterns of occurrence and significantly improve explained deviance, though if important environmental constraints are omitted then model stability and explanatory power can be compromised. We conclude that the best modelling practice is contingent both on the intentions of the analyst (explanation or prediction) and on the quality of distribution data; generalised additive models have potential to provide valuable information for conservation in the EAMs, but methods must be carefully considered, particularly if occurrence data are scarce. Full results and details of all species models are supplied in an online Appendix.     

Response of a Group of Sichuan Snub-Nosed Monkeys to Commercial Logging in the Qinling Mountains, China

Abstract:  Habitat destruction is one of the greatest threats to primates worldwide. To understand the impact of forest logging on the habitat use of primates in temperate mixed forest, we compared the range, habitat used, population size, and diet of a troop (ERT) of Sichuan snub-nosed monkeys ( Rhinopithecus roxellana ) in the Qinling Mountains before (1989), during (1997), and after (2002–2003) commercial logging. Logging significantly changed the composition of the forest and the food supply for the troop. Some areas were heavily logged and formed patches in the forest that lacked canopy cover. The troop moved 7 km away from their original range when logging took place and returned to their original range after logging stopped, but they avoided heavily logged areas that lacked canopy cover. Their movement indicated some degree of site fidelity in this species. Diet and home range changed after logging, but the population size remained stable, which suggests that this species has some ability to adapt to habitat changes. Our results may reflect a natural flexibility in primates to adapt to the changing food resources in temperate areas with marked seasonal variations in food availability and distribution. This flexibility may have contributed to their higher degree of resilience to habitat alterations caused by human activities compared with tropical forest primates that have a more specialized diet. Our findings provide important baseline information that will help decision makers in their efforts to conserve primates, especially in temperate regions, and to sustainably manage primate habitat.