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The roles of dispersal and terrain conditions in determining the abundance and distribution of tree species in post-agricultural forests.

机译:散布和地形条件在确定后农业森林树木物种的丰度和分布方面的作用。

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Since the peak of agricultural production in 1880, the forest in the Finger Lakes Region of New York, USA, increased from less than 20% to over 50% of land cover. Two factors controlling tree species composition in regenerating forest are a species' (1) ability to disperse into abandoned fields and (2) ability to grow under environmental conditions present there. To assess the influence of these two factors on distribution and abundance, I modeled regeneration of forests on a 10 x 14 km landscape with a history of increasing abandonment from agriculture.; To establish the most probable initial conditions in the pre-agricultural forest, I modeled distribution and abundance for eight tree species ( Acer rubrum, Acer saccharum, Fagus grandifolia , Fraxinus americana, Pius strobes, Quercus rubra, Tilia americana, Tsuga canadensis ) under the assumption that current distribution in remnant forest patches is highly correlated to terrain variables. A regression tree algorithm predicted the relative abundance of each tree species according to variables gathered en situ. Within a geographic information system (GIS), each prediction model was applied to digital maps of the environmental variables, producing a map of potential distribution for each species. These maps were evaluated against the remnant forest data and qualitative descriptions in the literature.; For three wind-dispersed species (Acer saccharum, Fraxinus americana, Tilia americana), I then predicted the distribution and abundance that would have occurred in regenerating forests if they were solely dependent on dispersal and growth. Within a GIS, dispersal into abandoned fields was modeled in two ways: as uniform and as decreasing with distance from seed sources. Growth was spatially modeled in two ways: as varying at each location and as a mean for all areas of the same age. Each prediction was evaluated using mean abundance data and the pattern abundance after five generations.; Environmental conditions had the most influence in predicting overall abundance and the patterns of abundance in the regenerating forests. The primary roles of distance-dependent dispersal were limiting distribution and lowering abundance. Changing dispersal characteristics had little effect on the pattern of abundance within the dispersal distance. Increasing maximum dispersal distance had no effect beyond 300 meters.
机译:自1880年农业生产达到顶峰以来,美国纽约手指湖地区的森林面积从不足20%增加到50%以上。控制再生林中树木物种组成的两个因素是物种(1)能够分散到废弃田地中的能力,以及(2)在当地环境条件下生长的能力。为了评估这两个因素对分布和丰度的影响,我以10x 14 km的景观为模型,模拟了森林的再生,并有放弃农业的历史。为了在农业前森林中建立最可能的初始条件,我对八个树种( Acer rubrum Acer saccharum Fagus grandifolia < / italic>,美国曲奇庇斯闪闪发光栎栎 Tilia americana Tsuga canadensis < / italic>)的假设是,剩余森林斑块中的当前分布与地形变量高度相关。回归树算法根据收集的变量就地预测每种树种的相对丰度。在地理信息系统(GIS)中,将每个预测模型应用于环境变量的数字地图,从而生成每个物种的潜在分布图。这些地图是根据残余森林数据和文献中的定性描述进行评估的。然后,对于三种风散的物种( Acer saccharum Fraxinus americana Tilia americana ),我预测了该物种的分布和丰度。如果仅依赖分散和生长,则可再生林。在GIS中,以两种方式对分散到弃田中的扩散进行建模:均匀分布和随着距种子源距离的增加而减小。用两种方式对增长进行空间建模:在每个位置均不同,并且在同一年龄的所有区域均值。使用平均丰度数据和五代后的模式丰度评估每个预测。环境条件对预测森林中的总体丰度和丰度模式的影响最大。距离依赖性扩散的主要作用是限制分布并降低丰度。改变分散特性对分散距离内的丰度模式影响很小。增加最大散布距离不会超过300米。

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