Dynamic floodplain vegetation model development for the Kootenai River, USA

The Kootenai River floodplain in Idaho, USA, is nearly disconnected from its main channel due to levee construction and the operation of Libby Dam since 1972. The decreases in flood frequency and magnitude combined with the river modification have changed the physical processes and the dynamics of floodplain vegetation. This research describes the concept, methodologies and simulated results of the rule-based dynamic floodplain vegetation model "CASiMiR-vegetation" that is used to simulate the effect of hydrological alteration on vegetation dynamics. The vegetation dynamics are simulated based on existing theory but adapted to observed field data on the Kootenai River. The model simulates the changing vegetation patterns on an annual basis from an initial condition based on spatially distributed physical parameters such as shear stress, flood duration and height-over-base flow level. The model was calibrated and the robustness of the model was analyzed. The hydrodynamic (HD) models were used to simulate relevant physical processes representing historic, pre-dam, and post-dam conditions from different representative hydrographs. The general concept of the vegetation model is that a vegetation community will be recycled if the magnitude of a relevant physical parameter is greater than the threshold value for specific vegetation; otherwise, succession will take place toward maturation stage. The overall accuracy and agreement Kappa between simulated and field observed maps were low considering individual vegetation types in both calibration and validation areas. Overall accuracy (42% and 58%) and agreement between maps (0.18 and 0.27) increased notably when individual vegetation types were merged into vegetation phases in both calibration and validation areas, respectively. The area balance approach was used to analyze the proportion of area occupied by different vegetation phases in the simulated and observed map. The result showed the impact of the river modification and hydrological alteration on the floodplain vegetation. The spatially distributed vegetation model developed in this study is a step forward in modeling riparian vegetation succession and can be used for operational loss assessment, and river and floodplain restoration projects.     

赤泥对土地处理系统中植物除磷效果的影响研究

将赤泥按0％、2.5％、5％、7.5％、10％的重量比例与土壤混合,考察赤泥掺混对土地处理系统中植物除磷效果的影响.结果表明,赤泥从生物量以及磷吸收两方面影响植物除磷.适量的赤泥掺混可提高植物生物量,掺混比为5％时生物量最大.另一方面,赤泥掺混越多,对植物磷吸收的抑制也越大.总体效果上,掺混比例为5％时,黑麦草和高羊茅...     

Crustacean habitat potential mapping in a tidal flat using remote sensing and GIS

To make a macrofaunal (crustacean) habitat potential map, the spatial distribution of ecological variables in the Hwangdo tidal flat, Korea, was explored. Spatial variables were mapped using remote sensing and a geographic information system (GIS) combined with field observations. A frequency ratio (FR) and logistic regression (LR) model were employed to map the macrofauna potential area for the Ilyoplax dentimerosa, a crustacean species. Spatial variables affecting the tidal macrofauna distribution were selected based on abundance and biomass and used within a spatial database derived from remotely sensed data of various types of sensors. The spatial variables included the intertidal digital elevation model (DEM), slope, distance from a tidal channel, tidal channel density, surface sediment facies, spectral reflectance of the near infrared (NIR) bands and the tidal exposure duration. The relation between the I. dentimerosa and each spatial variable was calculated using the FR and LR. The species was randomly divided into a training set (70%) to analyse habitat potential using FR and LR and a test set (30%) to validate the predicted habitat potential map. The relations were overlaid to produce a habitat potential map with the species potential index (SPI) value for each pixel. The potential habitat maps were compared with the surveyed habitat locations such as validation data set. The comparison results showed that the LR model (accuracy is 85.28%) is better in prediction than the FR (accuracy is 78.96%) model. The performance of models gave satisfactory accuracies. The LR provides the quantitative influence of variables on a potential habitat of species; otherwise, the FR shows the quantitative influence of a class in each variable. The combination of a GIS-based frequency ratio and logistic regression models and remote sensing with field observations is an effective method to determine locations favorable for macrofaunal species occurrences in a tidal flat.     

半干旱黄土区退耕还林十年植被恢复变化分析——以陕西吴起县为例

黄土高原退耕还林（草）政策实施已逾10 a,了解植被恢复变化状况及存在的问题,对于制定和完善生态环境治理方略具有重要意义。以吴起县为例,基于实地调查及遥感等数据,对退耕还林（草）以来植被覆盖度、主要植被类型变化及不同立地条件下植被恢复变化的差异进行了定量分析。结果表明：2000年至2009年,植被覆盖度大于30%的面积在全县总面积中的比例由不足1%上升至91.96%;其中缓坡立地类型上的乔灌林地类型面积增长最为显著,而阳向陡坡等恶劣生境下的植被恢复缓慢;有林地、灌木林地及疏林地均呈现规模增大趋势,属扩张状态;中覆盖度草地、低覆盖度草地、坡耕地及耕地呈现规模减少趋势,属缩减状态。     

内蒙古地区近25年植被对气温和降水变化的影响

利用1982—2006年内蒙古地区GIMMS-NDVI和降水量、气温数据,分析了不同植被类型对气温和降水变化趋势的影响。结果表明：近25年来内蒙古地区气温整体上呈上升趋势,降水量呈微弱降低趋势,西部荒漠区呈暖湿化趋势,中东部草原、森林等植被类型区呈暖干化趋势;从不同植被类型NDVI与平均气温和降水量的变化趋势率相关分析表明,NDVI值越低,升温趋势越明显,其中春季和秋季各植被类型间NDVI与季均气温升高趋势率呈显著和较显著的相关,夏、冬季关系不明显;植被NDVI越高,降水量减少趋势越明显。基于栅格的NDVI与气温升高幅度、降水变化趋势相关分析表明,年均气温升高幅度基本随NDVI的增加而降低,其中春、夏和秋季的季均气温升高幅度均随NDVI的增加而显著降低,冬季趋势不明显;而年降水量减小趋势率随植被NDVI的增加而显著增加,其中春季和冬季NDVI变化对降水的变化几乎没有影响;夏季和秋季均表现为随NDVI的增加,降水减小趋势率呈增加趋势。     

安太堡露天矿复垦地不同人工植被恢复下的土壤酶活性和肥力比较

人工重建植被是露天矿复垦地植被恢复,提高土壤质量的主要途径之一.选择适宜的人工植被对快速恢复土壤质量具有重要意义.本文主要研究了安太堡露天矿复垦地油松-刺槐-柠条混交林、沙棘-刺槐-柠条-沙枣混交林和苜蓿地的土壤养分含量及酶活性,综合评价了这3种不同植被类型对土壤肥力恢复效果.结果表明,随着植被恢复的进行,土壤养分含量均有增加,油松-刺槐-柠条混交林的土壤养分含量显著高于其它样地.从以养分含量和酶活性权重计算的土壤综合肥力指标值(IFI)可知,油松-刺槐-柠条混交林IFI值最高.综合来看,对土壤重建效果最好的为油松-刺槐-柠条混交林,其次是沙棘-刺槐-柠条-沙枣混交林,再次为苜蓿.     

基于知识图谱的土壤重金属快速监测技术进展

为了解当前国际土壤重金属快速监测研究现状及趋势，以Web of science数据库为基础，以X射线荧光光谱法（XRF）为例利用CiteSpace进行知识图谱可视化分析，并在此基础上对国际土壤重金属快速监测进行研究综述.结果表明，从Web of science数据库资料来看，当前对土壤重金属快速监测的研究机构以中国科学院和西班牙国家科学研究委员会发文量最多，而发文从属国家以美国为最多，中国和德国居其次；研究热点主要集中于快速监测仪器的技术开发、实际应用、定量化监测影响因素的识别及校正等方面；针对土壤重金属污染快速监测的未来研究趋势主要集中于监测仪器的小型化智能化研发、农田土壤重金属快速监测、区域土壤重金属空间分布监测等方面.认清和了解当前国际土壤重金属快速监测研究状况，可为国内相关研究提供参考.     

Evaluation of fire as a management tool for controllingSchinus terebinthifolius as secondary successional growth on abandoned agricultural land

Schinus terebinthifolius, native to South America, has become an aggressive woody weed in southern Florida, displacing native vegetation as well as rapidly invading disturbed sites. Studies to evaluate the effectiveness of fire as a management option for controllingSchinus on abandoned farmland in Everglades National Park, known as the “Hole-in-the-Donut,” began in 1979. Study plots were established to monitor any change(s) in herbaceous cover and in numbers and size ofSchinus stems. Except in the control plot (which was not burned), each site was burned as often as fuel conditions permitted (usually once every one or two years), through 1985. Results indicated that both the number and density ofSchinus stems increased over the course of the study. While plots that burned showed a reduction in the rate ofSchinus invasion, invasion still progressed rapidly with or without the occurrence of fire. The increase inSchinus stem density from 1980 to 1985 was highly significant in all transects except one. Herbaceous cover showed no clear trends relative to burning.