南亚热带中幼龄针阔混交林生态化学计量特征

为了解南亚热带中幼龄针阔混交林植物、凋落物和土壤生态化学计量特征,本研究以10-11 a、7-9 a和3-5 a林龄人工针阔混交林为研究对象,通过对植物叶片（乔木、灌木和草本）、凋落物及土壤的碳（C）、氮（N）和磷（P）含量及计量比分析,探讨了中幼龄针阔混交林生态化学计量特征、相互关系及其N、P养分限制。结果表明,1）针阔混交林乔木、灌木和草本叶片碳含量均值分别为502.88、472.18和438.31 mg·g-1,其叶片碳含量表现为乔木〉灌木〉草本;叶片全氮含量均值分别为15.87、19.61和15.72 mg·g-1,叶片全磷含量均值为1-09、1.24和0.91 mg·g-1,其叶片氮和磷含量均表现为灌木〉乔木〉草本;凋落物碳、氮和磷含量均值分别为497-07、11-36和0.45 mg·g-1,凋落物氮和磷含量均低于植物。2）针阔混交林乔木叶片C/N、C/P和N/P均值分别为34.43、517-06和15.63,灌木和草本叶片C/N、C/P和N/P均值分别为26.60和28.55、438.77和507.59、16.52和17.95,而凋落物C/N、C/P和N/P为46.50、1193.26和26.17;不同林龄杉木叶片N/P均低于14,表明杉木生长受N限制;10-11 a林龄阔叶树生长受N的限制,7-9 a和3-5 a林龄阔叶树生长受P的限制,灌木和草本生长基本受P限制。3）植物叶片全氮和全磷含量呈极显著正相关（P〈0.01）,C/N与C/P呈极显著正相关（P〈0.01）,而全磷含量与C/N、C/P、N/P呈极显著和显著负相关（P〈0.01,P〈0-05）;土壤有机碳含量与土壤全氮含量、C/P、N/P呈极显著和显著正相关（P〈0.01,P〈0-05）。本研究为中幼龄人工林抚育及可持续经营提供科学参考。     

Proteomics study of Southern Punjab Pakistani cobra (Naja naja: formerly Naja naja karachiensis) venom

Because of the potential of significant geographic variation in the compositions of snake venoms, much insight can be gained by examining individuals originating from diverse locations, and detailed characterization of any species can only be done by including animals from the entire range. Pakistani N. naja (formerly N. naja karachiensis) venom was decomplexed by applying diverse techniques and found a concoction of proteins (a total of 43 venomous proteins comprising 11 super families) from 6 to 200 kilodaltons in size. Among them three finger toxins (58%), phosphoplipses A₂ (19%), snake venom metalloproteinases (5%), l-amino acid oxidases (5%), helvepryns (3%), vespryns (2%), cobra venom factor (2%), 5′-nucleotidases (2%), venom nerve growth factor (2%), and Kunitz type serine protease inhibitor (2%) were included. It is the first report that this venom possesses significantly higher percentage of three finger toxins belonging to the cytotoxins (32% overall) and α‐neurotoxins (32% overall, predominately long chain neurotoxins, 24% overall) compared to N. naja from other geographic locations. Better understanding of intraspecific variations in venom can improve the development of location-specific anti-venoms. Furthermore, this pool of diverse toxins could potentially be a source of novel drug candidates for the treatment of muscarinic acetylcholine receptors mediated nervous disorders.     

南疆西部不同植被类型NDVI对风沙灾害的响应

不同植被类型对风沙灾害的响应研究有助于风沙灾害的遥感监测评估和防灾减灾工作。采用传统统计学和空间自相关方法,利用MODIS的每日反射率和土地类型产品,分析了风沙灾害后南疆西部不同植被类型NDVI的变化规律及其空间分布特征。结果表明：风沙灾害后,研究区不同植被类型NDVI的差异在增大,NDVI变化值在一0．3865~0．4148之间,NDVI减小的面积占整个研究区面积的54．98％,变异系数增大值在2．44％～36．75％之间;受到风沙灾害的影响,研究区植被NDVI全局Moran’SI系数从0．7982减小到0．6786,但在空间上仍存在显著的正相关性,具有显著的空间集聚特征;由NDVI差值的局部空间自相关指标集聚图以及不同植被类型NDVI差值的空间关联区域面积百分比,可以发现落叶针叶林和裸地或低植被覆盖地受风沙灾害的影响较小,郁闭灌丛和作物受风沙灾害的影响较大。上述关于风沙灾害后南疆西部不同植被类型的变化及其空间格局的研究结果,不仅证明了防护林的风沙阻挡作用,也可以为风沙灾害的防治工作提供参考依据。     

Effects of climate and exurban development on nest predation and predator presence in the southern Appalachian Mountains (USA)

In the eastern United States, land-use and climate change have likely contributed to declines in the abundance of Neotropical migrant birds that occupy forest interiors, but the mechanisms are not well understood. We conducted a nest-predation experiment in southern Appalachian Mountain forests (North Carolina, U.S.A.) during the 2009 and 2010 breeding seasons to determine the effects of exurban development and temperature on predator presence and the average number of days until eggs in an artificial nest were disturbed by predators. We baited artificial nests with quail (Excalfactoria chinensi) eggs and monitored them for 18 days. We used clay eggs, track plates, and motion-triggered cameras to detect and identify nest predators. The average number of days a nest was undisturbed decreased as mean temperature increased and, to a lesser extent, as the density of buildings increased. Nests on the ground were more often depredated than those in trees, likely due to increased predation by opossum (Didelphis virginiana) and other carnivores. Raccoons (Procyon lotor), opossums, corvids (Corvus brachyrhynchos and Cyanocitta cristata), chipmunks (Tamias striatus), black bears (Ursus americanus), and domestic cats (Felis catus) were the most commonly detected predators. Presence of these predators did not vary as a function of mean temperature. Domestic cats and corvids were detected more frequently in plots with high rather than low densities of buildings. Forest-interior specialists and Neotropical migrants often nest in cool, high-elevation areas with low housing density. These bird species, especially those that nest on the ground, may be most vulnerable to increased nest predation if temperature and exurban development increase at higher elevations as anticipated.     

Network-based exploration and visualisation of ecological data

Networks – structured graphs consisting of sets of nodes connected by edges – provide a rich framework for data visualisation and exploratory analyses. Although rarely used for the visualisation of ecological data, networks are well suited to this purpose, including data that one might not normally think of as a network. We present a simple method for transforming a data matrix into network format, and show how this can be used as the basis for interactive exploratory analyses of ecological data.The method is demonstrated using a database of marine zooplankton samples acquired in the Southern Ocean. The network analyses revealed zooplankton community structures that are in good agreement with previously published results. Variations in community structure were observed to be related to the temporal and spatial pattern of sampling, as well as to physical environmental factors such as sea ice cover. The analyses also revealed a number of errors in the data, including taxon identification errors and instrument failures.The method allows the analyst to generate networks from different combinations of variables in the data set, and to examine the effects of varying parameters such as the scales of spatial, temporal, and taxonomic aggregation. This flexibility allows the analyst to rapidly gain a number of perspectives on the data and provides a powerful mechanism for exploration.     

基于主成分分析的中国南方干旱脆弱性评价

干旱脆弱性是干旱灾害形成的根本原因。遵循全面性、系统性和可操作性原则,选取水资源脆弱性、经济脆弱性、社会脆弱性、农业脆弱性和防旱抗旱能力脆弱性5个准则层,共32个指标,建立了中国南方农业干旱脆弱性评价指标体系,运用主成分分析的理论方法确定评价指标权重,建立中国南方地区的干旱脆弱性评价模型,得到不同省市的干旱脆弱性指数、分级阈值和区划,以期为南方地区防旱减灾工作提供基础数据和理论支持。得出以下结论,（1）通过主成分分析法得到四个主成分,第一主成分方差贡献率为54.90%,主要反映农业脆弱性和社会脆弱性;第二主成分方差贡献率为23.64%,主要反映水资源脆弱性和经济脆弱性;第三主成分和第四主成分所占比重较小,主要反映防旱抗旱能力脆弱性。（2）以4个主成分的方差贡献率为系数建立南方干旱脆弱性评价模型,得到中国南方干旱脆弱性综合评价得分及其排名,其中水资源脆弱性由高到低依次为云南、广西、贵州、四川、重庆和广东;经济脆弱性由高到低依次为广西、云南、贵州、四川、重庆和广东;社会脆弱性由高到低依次为贵州、云南、广西、重庆、四川和广东;农业脆弱性从高到低依次为贵州、云南、广西、重庆、四川和广东;防旱抗旱能力脆弱性由高到低分别为云南、贵州、四川、广西、重庆和广东;干旱脆弱性综合评价由高到低依次为云南、贵州、广西、四川、重庆和广东。（3）对干旱脆弱性指数进行正态分布性检验,发现该指数基本服从正态分布。根据正态分布原理,得到干旱脆弱性分级阈值,将干旱脆弱性指数小于0.3842定义为低风险,大于1.0758定义为高风险,介于两者之间的定义为中等风险,获得干旱脆弱性分级区划图。广东省位于干旱的低脆弱区,四川和?     

Non-linear ecological processes, fires, environmental heterogeneity and shrub invasion in northwestern Patagonia

The emergent behaviors of nature are not only the sum of interactions among ecosystem parts but also depend on the organization of these interactions. Fire, climate and vegetation patterns produce non-linear fire propagation across the landscape. Environmental heterogeneity, like outcrop presence and hare density, increases landscape patchiness and makes possible the occupation of fire refuges by plants, like Fabiana imbricata shrubs. We monitored shrub recruitment and cover during nine postfire years in northwestern Patagonia grasslands and we studied the long-term population dynamics under different environmental conditions through a matrix model, exploring different fire frequencies and spring precipitation regimes. Both, the field monitoring and the model seem to confirm the relationships between shrub invasion and fire. The climate change forecast predicts an increase in the frequency of El Niño Southern Oscillation phenomena that could causes more coupled fires—rainy springs in northwestern Patagonia, and consequently, more recruitment windows for shrubs, like F. imbricata. The matrix model also indicates that this scenario would be the most favourable for shrub invasion. Our results contribute to the knowledge of the ecosystem properties and processes, providing useful information to improve the grasslands sustainable use.     

花岗岩地区水蚀荒漠化问题探讨——以澄源河流域为例

以安徽省绩溪县澄源河流域为例,说明我国南方受干旱影响的亚湿润地带花岗岩地区水蚀荒漠化的存在,并探讨了其成因及危害。该流域１９８４年水蚀荒漠化面积为７．５６ｋｍ２,占流域总面积的１８．０３％;经过１０ａ的治理取得了一些成就和经验,至１９９６年水蚀荒漠化的面积已减少到２．５６ｋｍ２,占流域总面积的６．１１％,获得了可观的经济、社会和环境效益。事实说明只要采取一系列预防和治理措施,荒漠化过程是可以逆转的。     

Was Contamination of Southern California Groundwater By Chlorinated Solvents Foreseen?

The historical record does not support the argument that the cause of widespread groundwater contamination by chlorinated solvents in southern California was an inability to anticipate or detect the problem. The propensity of industrial wastes, including chlorinated solvents, to contaminate groundwater was understood by the 1940s in southern California. This understanding was not limited to a small group of specialists, but extended to regulators, industry, and the interested public. Industrial waste disposal was deregulated in 1949 as a result of lobbying by industry, despite a warning from the director of the State Health Department that such action would create "a backlog of water pollution over the State that will constitute a plague comparable to the air pollution in Los Angeles". Regulators warned specifically about the danger that groundwater pollution in the San Fernando and San Gabriel valleys would result from improper disposals of industrial chemicals, and solvents were identified as major contaminants in the scientific literature. Analytical methods to detect chlorinated solvents in groundwater at the concentrations found near the DNAPL (dense non-aqueous phase liquids) source zones have been well known since at least 1950, and a method with a detection limit of 10 w g/L was published as early as 1953.     

Investigation of the Curve Number Method For Surface Runoff Estimation In Tropical Regions

This study tests the applicability of the curve number (CN) method within the Soil and Water Assessment Tool (SWAT) to estimate surface runoff at the watershed scale in tropical regions. To do this, surface runoff simulated using the CN method was compared with observed runoff in numerous rainfall‐runoff events in three small tropical watersheds located in the Upper Blue Nile basin, Ethiopia. The CN method generally performed well in simulating surface runoff in the studied watersheds (Nash‐Sutcliff efficiency [NSE] > 0.7; percent bias [PBIAS] < 32%). Moreover, there was no difference in the performance of the CN method in simulating surface runoff under low and high antecedent rainfall (PBIAS for both antecedent conditions: ~30%; modified NSE: ~0.4). It was also found that the method accurately estimated surface runoff at high rainfall intensity (e.g., PBIAS < 15%); however, at low rainfall intensity, the CN method repeatedly underestimated surface runoff (e.g., PBIAS > 60%). This was possibly due to low infiltrability and valley bottom saturated areas typical of many tropical soils, indicating that there is scope for further improvements in the parameterization/representation of tropical soils in the CN method for runoff estimation, to capture low rainfall‐intensity events. In this study the retention parameter was linked to the soil moisture content, which seems to be an appropriate approach to account for antecedent wetness conditions in the tropics.