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| 1 | Empirical evaluation of confidence and prediction intervals for spatial models of forest structure in Jalisco,Mexico显示文摘In recent years there has been an increasing interest in developing spatial statistical models for data sets that are seemingly spatially independent.This lack of spatial structure makes it difficult,if not impossible to use optimal predictors such as ordinary kriging for modeling the spatial variability in the data.In many instances,the data still contain a wealth of information that could be used to gain flexibility and precision in estimation.In this paper we propose using a combination of regression analysis to describe the large-scale spatial variability in a set of survey data and a tree-based stratification design to enhance the estimation process of the small-scale spatial variability.With this approach,sample units(i.e.,pixel of a satellite image) are classified with respect to predictions of error attributes into homogeneous classes,and the classes are then used as strata in the stratified analysis.Independent variables used as a basis of stratification included terrain data and satellite imagery.A decision rule was used to identify a tree size that minimized the error in estimating the variance of the mean response and prediction uncertainties at new spatial locations.This approach was applied to a set of n=937 forested plots from a state-wide inventory conducted in 2006 in the Mexican State of Jalisco.The final models accounted for 62% to 82% of the variability observed in canopy closure(%),basal area(m2·ha-1),cubic volumes(m3·ha-1) and biomass(t·ha-1) on the sample plots.The spatial models provided unbiased estimates and when averaged over all sample units in the population,estimates of forest structure were very close to those obtained using classical estimates based on the sampling strategy used in the state-wide inventory.The spatial models also provided unbiased estimates of model variances leading to confidence and prediction coverage rates close to the 0.95 nominal rate. | Robin M.Reich C.Aguirre-Bravo Vanessa A.Bravo Martin Mendoza Briseo | 2011 | Journal of Forestry Research2011，22，2： | 3 |
| 2 | A phylogenetic approach to disentangling the role of competition and habitat filtering in community assembly of Neotropical forest birds显示文摘 | Juan PabloGómez Gustavo A.Bravo Robb T.Brumfield José G.Tello Carlos DanielCadena | 2010 | Journal of Animal Ecology2010，，： | 1 |
| 3 | 新一代Vinavil®硬木用水基胶粘剂--远超出木材破坏显示文摘在非承载类硬木结构中使用水性热塑性胶粘剂,要求最终胶接接头具有较高的机械性能(高于木材本身)和抗蠕变性。当胶接接头受到静负荷作用时,其机械性能会受到胶粘剂本身性能和木材类型的影响,即与胶粘剂和基材之间密切相关。选取化学成分相同、合成路径不同的两类聚合物,并参照国际标准[1-2]对胶粘剂的相关性能进行光谱分析、量热分析、形态结构分析和测试。有趣的是,两例胶在剪切试验中表现出显著差异:一类导致被粘基材的内聚破坏,另一类导致被粘基材表面的胶粘剂破坏。由此可知,所测试聚合物所表现出的不同机械性能与粘接机理有关。因此,本文合成了新一代Vinavil水基聚合物胶粘剂,由于采用新颖的前瞻性技术,其特殊性能显而易见,且远超过传统标准。 | M.Ripamonti F.Chiozza S.Paffumi F.Abbà A.Bravo M.Decio T.Cerulli 李生柱 | 2008 | 中国胶粘剂2008，17，4： | 0 |
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