A Gis-derived integrated moisture index to predict forest composition and productivity of Ohio forests (U.S.A.)

A geographic information system (GIS) approach was used in conjunction with forest-plot data to develop an integrated moisture index (IMI), which was then used to predict forest productivity (site index) and species composition for forests in Ohio. In this region, typical of eastern hardwoods across the Midwest and southern Appalachians, topographic aspect and position (rather than elevation) change drastically at the fine scale and strongly influence many ecological functions. Elevational contours, soil series mapping units, and plot locations were digitized for the Vinton Furnace Experimental Forest in southeastern Ohio and gridded to 7.5-m cells for GIS modeling. Several landscape features (a slope-aspect shading index, cumulative flow of water downslope, curvature of the landscape, and water-holding capacity of the soil) were used to create the IMI, which was then statistically analyzed with site-index values and composition data for plots. On the basis of IMI values for forest land harvested in the past 30 years, we estimated oak site index and the percentage composition of two major species groups in the region: oak (Quercus spp.), and yellow poplar (Liriodendron tulipifera) plus black cherry (Prunus serotina). The derived statistical relationships were then applied in the GIS to create maps of site index and composition, and verified with independent data. The maps show the oaks will dominate on dry, ridge top positions (i.e., low site index), while the yellow poplar and black cherry will predominate on mesic sites. Digital elevation models with coarser resolution (1:24K, 1:100K, 1:250K) also were tested in the same manner. We had generally good success for 1:24K, moderate success for 1:100K, but no success for 1:250K data. This simple and portable approach has the advantage of using readily available GIS information which is time-invariant and requires no fieldwork. The IMI can be used to better manage forest resources where moisture is limiting and to predict how the resource will change under various forms of ecosystem management.     

黄土高原地形对苜蓿种子产量和质量的影响

对产自甘肃环县黄土高原沟壑区阴坡，阳坡、沟谷阶地和塬地4种地形的苜蓿种子产量和质量进行了研究分析，结果表明，地形对种子产量和质量均有显著影响，其中，阴坡种子产量最低，分别为1．86g/株和311．74kg/hm^2，阳坡单株种子产量最高，为6．41g/株，塬地单位种子产量最高，为650．65kg/hm^2，质量最低种子也产自阴坡，其发芽率只有23％，硬实率却高达66％，地形对种子产量构成因素无显著影响，4种地形的种子产量与其构成因素的相关性完全一致，即除千粒重外，种子产量与其他各因素均存在显著正相关，相关性强弱依次为：单株生殖枝数＞每生殖枝荚果数＞每荚粒数＞千粒重，单株生殖枝数对种子产量贡献最大。     

黑土区基准坡长和LS算法对地形因子的影响

该文结合小区实测坡长资料及Mc Cool数据,对地形因子算法中涉及的基准坡长影响和不同算法计算值的特征进行了讨论。研究表明,在坡长较小的情况下,20和22.13 m基准坡长计算得到的坡长因子相差不大,但随着坡度增加,在坡长指数的复合影响下,两者的差异渐趋增大。理论分析表明,坡长指数采用与坡度相关的变值更为合理。通过与实测数据对比发现,修正版通用土壤侵蚀模型(RUSLE)算法中的坡长因子与其更为接近,结合与Mc Cool数据的对比分析表明,研究区坡长指数更适合细沟和细沟间侵蚀比率中等的情形,或者采用RUSLE模型算法计算得到。同时研究发现,张宪奎算法、Moore算法、Desmet算法和B?hner算法计算得到的LS因子值都要比参照值小,而且4种算法与参照值的接近程度依次降低。空间分布特征而言,栅格累计算法总体较为破碎,并在平直坡面出现较多平行分布条带,而含有面积指标的其他3种算法则总体呈现光滑连续特性,但有无数据区域的存在。该结果对于研究区土壤侵蚀模型地形因子算法选择具有一定的现实意义。     

蝴蝶多样性与地形相关性研究——以大峪流域为例

蝴蝶物种丰富度是蝴蝶多样性研究的热点之一,以大峪流域的蝴蝶为研究对象,借助GIS技术,结合数字高程模型（DEM）数据,研究了大峪流域内的蝴蝶多样性沿海拔梯度分布格局,及其与地形复杂度之间的关系。结果表明：随着海拔的升高,蝴蝶的科、属、种丰富度和密度均呈逐渐降低的趋势;蝴蝶的丰富度和密度与地形复杂度成正相关,随地形复杂度的降低而降低。     

Soil Phosphorus and Potassium Mapping Using a Spatial Correlation Model Incorporating Terrain Slope Gradient

Variable-rate fertilizer application requires knowledge of the spatial distribution of soil nutrients within fields. Grid soil sampling might be used for acquiring this information, but is often too expensive for resolving spatial patterns in soil nutrients at the scale of precision fertilizer application. The objective of this study was to determine whether grid sampling efficiency can be improved using cokriging estimates with slope gradient as a secondary variable, which is easily obtained from high-resolution digital elevation models. Soils in two northern Montana wheat fields were sampled at the nodes of a 100-m diagonal grid. Soil test phosphorus and potassium maps were constructed with kriging and cokriging. Co-kriging uses the spatial correlation between two variables to predict for the less intensively sampled variable of interest, often with less estimation error than a univariate method such as kriging. The average estimation variance for cokriging compared to kriging was reduced for all values of the correlation considered. The additional complexity of cokriging might be justified provided a secondary variable exists that is spatially cross correlated with the primary variable of interest.     

Management Zones Classified With Respect to Drought and Waterlogging

Within-field variations in potential grain yield may be due to variations in plant available soil water. Different water holding capacities affect yield differently in different years depending on weather. By estimating plant-water availability in different weathers, scenarios could be created of how yield potential and thereby fertilizer demand may vary within fields. To test this, measured cereal grain yields from a dry, a wet and an intermediate year were compared with different soil moisture related variables in a Swedish arable field consisting of clayey and sandy areas. Soil water budget calculations based on weather data and maximum plant available water (PAW), estimated from soil type and rooting data, were used to assess drought. A reasonable correlation between estimated and measured soil moisture was achieved. In the dry year, drought days explained differences in yield between the clayey and the sandy soil, but yield was better explained directly by maximum PAW, elevation, clay content and soil electrical conductivity (SEC). Yield correlated significantly with SEC and elevation within the sandy soil in the dry year and within the clayey soil in the wet year, probably due to water and nitrogen limitation respectively. Dense SEC, elevation and yield data were therefore used to divide the field into management zones representing different risk levels for drought and waterlogging. These could be used as a decision support tool for site-specific N fertilization, since both drought and waterlogging affect N fertilization demand.     

石蜡-松香包膜尿素的形貌及其释放行为的研究

以石蜡-松香混合物作为包膜材料，以磷酸氢钙为调理剂，采用熔融喷雾包涂的方法制备一种新型、多营养、不污染土壤的缓释尿素。用水浸泡法和土壤培养法探讨了包膜尿素的释放特性，用扫描电子显微镜研究了包膜尿素的表面和截面形貌。分析了松香与石蜡的配比、涂层量对包膜尿素养分释放速率的影响。结果表明，松香与石蜡的配比是影响包膜尿索养分释放速率的主要因素，涂层量是影响尿素释放的重要因素，包膜尿素在水中氮索的释放行为可用一级释放动力学方程来描述；其中，CRC-25和CRC-30包膜尿素在水中溶出80％的氮素分别需要10．07d、17．88d，在土壤中溶出80％的氮索所需要的时间大于130d；包膜尿素的扫描电镜照片显示，包膜层中的缝隙小于5μm。     

茂兰自然保护区喀斯特森林物种多样性与土壤因子的关系

以茂兰自然保护区槽谷、漏斗、坡地3种典型地形部位的喀斯特森林为研究对象,对不同地形部位的喀斯特森林植物物种多样性特征和土壤理化性质进行了分析,并通过相关分析对物种多样性指数与土壤因子的关系进行了研究.结果表明,3种地形部位的喀斯特森林中,槽谷森林的物种多样性最丰富,其次是漏斗森林,而坡地森林物种多样性最低;3种地形部位的喀斯特森林中,漏斗森林的土壤养分含量相对较高,其次是槽谷森林,坡地森林养分含量最少;相关分析表明,物种丰富度指数与土壤有机质、全氮含量均呈极显著正相关;Pielou均匀度指数与土壤全氮、速效磷含量呈显著正相关.     

Soil solution chemistry at different positions on slope in a conifer plantation forest

It is known that soil property varies along the slope. It suggests that soil solution chemistry also differs topographically. To determine the variation in soil solution chemistry within one watershed, soil solution chemistry at the different positions of the slope was investigated. Soil N transformation changed along the slope. NH₄ ⁺ ratio to inorganic N (NH₄ ⁺ + NO₃ ⁻) increased upslope. The tendency was verified by laboratory incubation. After incubation most of the mineralized N was nitrified at the lower part of the slope, while little nitrification occurred at the upper part of the slope. At the ridge and the backslope inorganic N form in soil solution was concomitant with inorganic N form by incubation. At the ridge NH₄ ⁺ was predominant form in soil solution, at that time major anion was sea salt originated Cl⁻. From this, soil solution chemistry seems to be regulated by the external nutrient source at the ridge. In the second year of lysimeter installation NO₃ ⁻ concentration increased in both sites and the ratio of NH₄ ⁺ to inorganic N decreased. It was considered due to the effect of lysimeter installation. The lag time and the magnitude of NO₃ ⁻ increase were different between the ridge and the backslope. It would be related with soil N transformation in pre-disturbance. The influence of disturbance were shown in other solute concentrations of soil solution.     

Modified solar insolation as an agronomic factor in terraced environments

We present a model that calculates incident solar radiation falling on terraced and unterraced fields in steep slope environments. The results are presented as a function of altitude, latitude, slope aspect, slope angle, and season. The net solar benefit or cost from slope leveling (terracing) differs significantly according to these situational factors. For instance, terracing will confer a net direct solar radiation benefit of 15 per cent on south‐facing 30‐degree slopes at the Equator for a typical growing season; it will reduce net annual direct solar receipt by 21 per cent on south‐facing 30‐degree slopes at 45° N latitude. Modified solar radiation must be considered as potentially important in the historical origins, functioning and abandonment of terracing. It should be a component in agronomic evaluation of modern terrace construction, restoration, or maintenance. Copyright © 2000 John Wiley & Sons, Ltd.