青藏高原地区积雪变化及特征分析

利用我国高原地区1963-2002年的逐月积雪日数资料,以及1972-2011年的格点积雪月频率资料,分析、对比了两种资料在该地区的时空演变特征。结果表明：同时段的(1972-2002)站点资料与格点资料相比,空间分布其高值区与积雪日数增值区均偏西北,偏北程度大致为3~4°,偏西程度大致为2~3°,且中心更为明显。在青藏高原西侧(85°E以西),积雪日数呈整体下降趋势。两种资料的积雪日数EOF分析存在一定的偏差,这与其对应的空间分布差异及气候趋势空间分布存在的偏差相吻合。     

关中-天水经济区人类活动对植被覆盖变化的影响

为探究植被覆盖变化及人类活动对改善关中地区及西北地区的生态环境影响,利用植被覆盖和地表温度数据,结合Sen趋势与Mann-Kendall检验分析关中-天水经济区2001—2016年的植被覆盖变化趋势,并根据估算的土壤湿度因子,应用残差法评价人类活动对植被覆盖变化的影响程度及影响方向。结果表明:1)从时间变化维度来看,2001—2016年关中-天水经济区植被覆盖变化总体呈良好趋势,且整体表现为在不断波动中递增,表明关天经济区进行的生态环境建设工程正在慢慢凸显它的生态效应。2)从空间变化维度来看,关中-天水经济区植被覆盖显著增长的区域面积占35.87%,主要集中在研究区南北两侧。而显著下降的面积区域占3.21%,主要分布在城市中心,即经济发展活跃的地区,如西安市区,宝鸡市区,天水市区,铜川市区等。3)关中-天水经济区植被覆盖受自然因素影响较小,受其他因素影响大。其正相关区域占13.43%,不显著相关区域占85.26%。4)关中-天水经济区人类活动对植被覆盖变化的正作用大于负作用。其中,正作用区域主要分布在研究区北部和东南地区,其主要原因是人类活动不频繁,建设生态屏障、加强退耕还林、三北防护林保护以及水土保持等生态工程促进植被NDVI增长。负作用区域主要分布在渭河沿线、经济活动较高地区,其主要原因有:人类活动频繁、过度城市化、工业化等抑制植被生长。5)植被覆盖的增长和下降区域与人类活动对植被影响的正作用和负作用区域大致相同。这也从侧面反映了关天经济区植被覆盖情况受人类活动影响大。总之,在负作用区域,在经济建设发展的同时也要注重植被建设、以及对植被乃至生态环境的保护。     

不同栽培密度对秋大棚黄瓜生育期及产量的影响

试验以黄瓜为材料,采用随机区组设计,研究了不同栽培密度对秋大棚黄瓜生育期及产量的影响。结果表明,当栽培密度为4000株/667m2时,产量和产值都达到最高。     

松嫩平原羊草草地水淹干扰恢复过程的群落动态

根据随机取样的测定数据，经过幂函数和多元回归分析及相关检验，揭示了草地水淹干扰对羊草 寸草苔、羊草 杂类草群范数量性状的变化规律。水淹干扰对草地植被的物种组成及其比例有明显的影响。水淹后基本恢复到正常草地的种类数量和生产量配置大约需要6—7年。随着生境水分减少和土壤变干，羊草种群的数量和生物量均以幂函数形式增加，而寸草苔和杂类草的数量和生物量则呈先增后降的变化过程。     

An investigation of uncertainty in field habitat mapping and the implications for detecting land cover change

Land cover data for landscape ecological studies are frequently obtained by field survey. In the United Kingdom, temporally separated field surveys have been used to identify the locations and magnitudes of recent changes in land cover. However, such map data contain errors which may seriously hinder the identification of land cover change and the extent and locations of rare landscape features. This paper investigates the extent of the differences between two sets of maps derived from field surveys within the Northumberland National Park in 1991 and 1992. The method used in each survey was the Phase 1 approach of the Nature Conservancy Council of Great Britain. Differences between maps were greatest for the land cover types with the smallest areas. Overall spatial correspondence between maps was found to be only 44.4%. A maximum of 14.4% of the total area surveyed was found to have undergone genuine land cover change. The remaining discrepancies, equivalent to 41.2% of the total survey area, were attributed primarily to differences of land cover interpretation between surveyors (classification error). Differences in boundary locations (positional error) were also noted, but were found to be a relatively minor source of error. The implications for the detection of land cover change and habitat mapping are discussed.     

甘肃省河东地区主秋期降水量时空分布特征

利用甘肃省河东地区55个站30a的主秋期降水量资料进行经验正交展开(EOF)和旋转经验正交展开(REOF),分析其空间分布特征和异常类型;以平凉站为例分析了主秋期降水的时间变化规律和周期性;将河东地区主秋期降水量分为8个气候片。分析表明,河东地区主秋期雨量变化规律较为一致,空间分布不均,具有南多北少和东西多中间少的特点;多雨中心和少雨中心的多年平均值相差近200mm;主秋期降水年际变化较大,容易出现不同程度的旱或涝,并有9a左右的周期;20世纪40、60年代为相对多雨期,50、90年代为相对少雨期,70、80年代与平均值持平。     

A leakiness index for assessing landscape function using remote sensing

The cover, number, size, shape, spatial arrangement and orientation of vegetation patches are attributes that have been used to indicate how well landscapes function to retain, not ‘leak’, vital system resources such as rainwater and soil. We derived and tested a directional leakiness index (DLI) for this resource retention function. We used simulated landscape maps where resource flows over map surfaces were directional and where landscape patch attributes were known. Although DLI was most strongly related to patch cover, it also logically related to patch number, size, shape, arrangement and orientation. If the direction of resource flow is multi-directional, a variant of DLI, the multi-directional leakiness index (MDLI) can be used. The utility of DLI and MDLI was demonstrated by applying these indices to three Australian savanna landscapes differing in their remotely sensed vegetation patch attributes. These leakiness indices clearly positioned these three landscapes along a function-dysfunction continuum, where dysfunctional landscapes are leaky (poorly retain resources). This revised version was published online in July 2006 with corrections to the Cover Date.     

Comparison of an in vitro and a damping-off assay to test soils for suppressiveness to Pythium aphanidermatum

Testing of soil samples in greenhouse assays for suppressiveness to soilborne plant pathogens requires a considerable investment in time and effort as well as large numbers of soil samples. To make it possible to process large numbers of samples efficiently, we compared an in vitro growth assay with a damping-off assay using Pythium aphanidermatum as the test organism on tomato seedlings. The in vitro test compares the radial growth or relative growth of the fungus in soil to that in autoclaved soil and reflects suppressiveness of soils to the pathogen. We used soils from a field experiment that had been farmed either organically or conventionally and into which a cover crop (oats and vetch in mixture) had been incorporated 0, 10, 21, and 35 days previously. We obtained a significant, positive correlation between damping-off severities of tomato seedlings in damping-off assays and both relative and radial growth in vitro. In addition, radial and relative growth of P. aphanidermatum in the in vitro assay were positively correlated with several carbon and nitrogen variables measured for soil and incorporated debris. We did not find differences between the two farming systems for either growth measures of P. aphanidermatum or disease severities on tomato at different stages of cover crop decomposition. The in vitro assay shows potential for use with any fungus that exhibits rapid saprophytic growth, and is most suitable for routine application in suppressiveness testing.     

基于SWAT模型的大安市降水入渗量变化的模拟研究

针对近年的研究热点,通过SWAT模型对半干旱、盐碱化严重的吉林省大安市进行降水入渗模拟。以2000、2004和2008年遥感影像解译得到的土地利用数据为基础,结合SWAT模型的模拟结果,讨论LUCC与降水入渗量的相关关系。2008年与2000年相比,难利用地的面积有所降低,旱地、草地等发生了大面积的增加,研究区内土地状况有所好转。通过SWAT模型运行得到的结果显示:2008年的平均降水入渗量为56.27 mm,比2000年的值高。利用降水入渗系数法进行计算,也得到了2008年的降水入渗量高于2000年的结果,这与SWAT模型模拟得到的结果有着相同的趋势,且平均降水入渗量的标准偏差为5.27,说明SWAT模型对于研究区有良好的适应性。同时,根据土地利用数据和SWAT模型模拟数据可以得知,LUCC对研究区的降水入渗量存在着一定的相关性。