亚澳季风各子系统气候学特征的异同研究 II. 夏季风水汽输送

利用1979~2002年的ERA-40和NCEP/NCAR逐日再分析资料以及CMAP降水资料探讨了亚澳季风各夏季风子系统(南亚夏季风、东亚夏季风、北澳夏季风)水汽输送的气候学特征及其与夏季降水的关系。分析表明:各夏季风子系统水汽输送通量主要取决于低层季风气流,南亚夏季风和北澳夏季风以纬向水汽输送为主,而东亚夏季风有很强的经向水汽输送。分析也证实,亚澳季风区的夏季风降水主;要源于水汽输送的辐合,而且ERA-40资料对夏季风水汽输送辐合的描述能力强于NCEP/NCAR资料。此外,受低层季风气流结构的影响,三夏季风子系统水汽输送辐合的动力机理存在明显差异,南亚夏季风和北澳夏季风的水汽输送辐合主要由低层西风气流的风场辐合所造成,而东亚夏季风的水汽输送辐合则由低层南风气流的风场辐合和季风湿平流共同作用造成。因此,东亚夏季风降水有别于南亚夏季风降水和北澳夏季风降水。     

天山北麓山地-绿洲-荒漠生态系统净初级生产力空间分布格局及其季节变化

以天山北麓总面积达93 936 km~2的山地-绿洲-荒漠生态样带为例,利用生态-遥感光能利用率模型NPP-PEM,使用1 km分辨率SPOT/VEGETATION遥感等数据资料,估算了生态样带净初级生产力(NPP)空间分布及其季节变化.结果表明山地-绿洲-荒漠生态样带平均NPP为161.06 g C·m~(-2)·a~(-1),样带陆地生态系统年总碳吸收量或年总NPP累积量为15.081 Tg C(1Tg=10~(12)g),其中绿洲农田、山地草甸草原、平原荒漠草原和山地森林对的碳吸收贡献率分别为32.67%、28.16%、12.41%和9.15%.夏季是各类生态系统NPP增加量最大的季节,而沙漠由于早春短命植被覆盖而具有生长双峰现象.样带NPP空间分布及其季相变化特征是自然环境、地貌、气候以及人类生产活动长期共同作用和影响的结果,其中水热条件和基质是控制干旱区陆地生态系统NPP空间格局的决定因子.结果检验表明模拟效果较为合理,证明NPP-PEM模型在干旱生态系统的应用是可行的.研究为干旱区陆地生态系统碳循环研究开辟了途径,可为干旱区生态系统评估、监测和管理提供研究方法和参考依据.     

北山戈壁荒漠地区1：5万植物地球化学测量效果

北山戈壁荒漠景观区土壤垂直剖面不存在通常的A、B、C分层结构，且掺杂有大量风成沙。在公婆泉地区开展1：5万常规地球化学测量方法研究的同时，进行了植物地球化学测量试验研究。研究表明，两种方法的主要指示元素异常有很好对应性，红沙是我国西部干旱荒漠广大地区开展植物地球化学测量的一种良好采样对象。     

生物土壤结皮：荒漠昆虫食物链的重要构建者

干旱荒漠地区由于水分因子的限制,其植被分布以不连续的高等植物斑块与隐花植物及其结皮的斑块镶嵌为其主要特征,构成了独特的荒漠植被景观格局。作为荒漠生态系统的主要组成者,荒漠昆虫与生境的关系,特别是与高等植物之间的食物链关系已得到大量的文献报道。本文基于野外调查和实验室模拟观测,发现了尖尾东鳖甲(Anatolica mucronata)对藓类结皮有取食现象,哈蛃(Haslundichilis sp.)对地衣结皮有取食现象。证实了生物土壤结皮直接参与了荒漠昆虫食物链和食物网的构成,为深入了解生物土壤结皮在荒漠生态系统中的功能和地位提供了实验证据。     

Climatic implications of loess deposits from the Beijing region

Variations in magnetostratigraphy, pedostratigraphy, grain size and magnetic susceptibility of the loess deposits near Beijing have been studied at two sections. The sections are about 400 km east of the main loess deposits in China, have a maximum thickness of 100 m and extend back to 1.1 Ma. The sequence consists of 14 loess–palaeosol couplets (S0‐S14), which correlate well with sequences in the Loess Plateau. Susceptibility records from the sites near Beijing are comparable to the Xifeng, Luochuan and Baoji sections located in the middle part of the Loess Plateau; however, the down‐core variations in the grain size in the Upper Lishi Formation exhibit some differences. The median grain size increases by about 25–30 µm from L4 to L2, with the sandy grains (>63 µm) increasing from 10–20 wt% to 40–50 wt% . This implies that the depositional environment of the dust sources in the Beijing loess section is different in some aspects from the Loess Plateau. The Beijing loess may have had a different dust source than the Loess Plateau. Copyright © 2001 John Wiley & Sons, Ltd.     

Simulation of site-scale water fluxes in desert and natural oasis ecosystems of the arid region in Northwest China

The study of water fluxes is important to better understand hydrological cycles in arid regions. Data-driven machine learning models have been recently applied to water flux simulation. Previous studies have built site-scale simulation models of water fluxes for individual sites separately, requiring a large amount of data from each site and significant computation time. For arid areas, there is no consensus as to the optimal model and variable selection method to simulate water fluxes. Using data from seven flux observation sites in the arid region of Northwest China, this study compared the performance of random forest (RF), support vector machine (SVM), back propagation neural network (BPNN), and multiple linear regression (MLR) models in simulating water fluxes. Additionally, the study investigated inter-annual and seasonal variation in water fluxes and the dominant drivers of this variation at different sites. A universal simulation model for water flux was built using the RF approach and key variables as determined by MLR, incorporating data from all sites. Model performance of the SVM algorithm (R² = 0.25–0.90) was slightly worse than that of the RF algorithm (R² = 0.41–0.91); the BPNN algorithm performed poorly in most cases (R² = 0.15–0.88). Similarly, the MLR results were limited and unreliable (R² = 0.00–0.66). Using the universal RF model, annual water fluxes were found to be much higher than the precipitation received at each site, and natural oases showed higher fluxes than desert ecosystems. Water fluxes were highest during the growing season (May–September) and lowest during the non-growing season (October–April). Furthermore, the dominant drivers of water flux variation were various among different sites, but the normalized difference vegetation index (NDVI), soil moisture and soil temperature were important at most sites. This study provides useful insights for simulating water fluxes in desert and oasis ecosystems, understanding patterns of variation and the underlying mechanisms. Besides, these results can make a contribution as the decision-making basis to the water management in desert and oasis ecosystems.     

乌兰陶勒盖水源地地下水开采的植被生态风险研究

乌兰陶勒盖水源地位于毛乌素沙漠腹地,地表水体不发育,植被生态相对脆弱。水源地大规模开采引发的地下水位下降将会对区内的植被生态造成一定的破坏。采用样方调查方法,对区内植被生态现状进行了调查,将区内植被分为荒漠、低湿和沙地三种植被类型;对植被覆盖度与地下水位的关系进行了探讨,得出植被生存的最佳水位是1.1～3.0m;运用GIS软件对区内植物现状与地下水位埋深进行了敏感性分区研究。试探性的建立开采条件下的植被生态风险指数,并根据指数值的大小进行风险性分区,结果表明,在选定的开采方案下,高风险区和中风险区的分布面积较小,而低风险区的面积最大,从而说明在乌兰陶勒盖水源地新增地下水开采量11.82万m3/d的情况下,不会对生态植被造成大的影响。     

中国沙漠和沙地的资源优势与农业发展

人口、粮食、土地之间的矛盾已成为今后我国几十年的主要问题。我国后备土地资源的68%分布在干旱、半干旱地区,其中沙漠和沙地面积辽阔,类型繁多,涉及212个县(旗)、48×106人。我国的沙漠和沙地具备适度开发利用的水资源依托,具有灌溉、雨养和高寒农业等特殊环境,是栽培作物和养殖家畜的集中区,许多尚无饲养或尚无栽培种类可以取代的野生动植物具有独特经济价值和高度的抗性。我国的沙地持续利用技术体系已初步建立,形成了一整套具有中国特色的流沙固定技术,结合各地的具体条件创建了许多成功的区域开发治理模式。沙漠和沙地开发必须摆脱传统的农业利用模式,依靠科技进步,多采光、少用水,结合资源条件、市场需求、投资能力,有计划、有步骤地规模开发。     

Some things do change: indigenous rights,geographers and geography in Australia

Using a recent editorial comment in this journal as a focus, this paper reviews the extent to which geography has been implicated in the ‘colonial project’ in Australia. It argues that recent work amongst geographers involved with indigenous Australians reflects a commitment to transcend this colonial past. The paper calls for geographers to work toward a wide‐reaching decolonisation of the discipline, and to develop a better understanding of the contemporary legacies of geography's colonial past.