旱生灌木生物量预测模型的研究

灌木的生物量与其生长指标（高,地径,冠幅,枝条数等）之间具有密切的关系,本研究采用数学模拟的方法,以大量实测数据为基础,建立灌木生物量的预测模型,实现灌木生物产量的预测预报,大多数树种以指数模型（ｙ＝ａｘ＾ｂｉｉ）最为适宜,用复相关系数,方差分析,相对误差,拟合率进行模型评价和优化,用ｘ＾２检验和拟合率做适合性试验,可以得到比较满意的结果,我们运用这套技术建立了杨柴,花棒,沙拐枣,梭梭,沙棘和沙柳     

民和灌木林利用模式的研究

对现有灌木林合理保护与开发利用是实现林业可持续发展,惠及子孙的百年大计。现针对民和县森林分布的现状,结合我县的工作实际,初步探索出合理保护与培育利用灌木林的几种模式。     

杭州常见道路绿化灌木秋季滞尘能力研究

通过实地调查、采样,对杭州道路常见灌木滞尘能力进行测定,浙大路4种灌木滞尘顺序为:红花继木>金边黄杨>红叶石楠>无刺枸骨;教工路5种灌木滞尘的顺序为:无刺枸骨>金边黄杨>紫薇>红叶石楠>红花继木;丰潭路5种绿化灌木的滞尘顺序为:无刺枸骨>紫薇>金边黄杨>红花继木>红叶石楠;汽车西站4种绿化灌木滞尘能力顺序为:红花继木>紫薇>无刺枸骨>金边黄杨;天目山路5种灌木滞尘能力顺序为:紫薇>无刺枸骨>红花继木>红叶石楠>金边黄杨;所选5种绿化灌木,秋季平均单位叶面积滞尘能力顺序为:紫薇>无刺枸骨>红花继木>金边黄杨>红叶石楠,5条道路中,金边黄杨、红花继木、红叶石楠均在汽车西站滞尘能力最强,紫薇、无刺枸骨在天目山路滞尘能力最强。     

乌兰布和沙漠东缘几种灌木林微气候特征比较

本项研究以乌兰布和沙漠东缘几种灌木林的微气象因子同时进行观测，并以流沙区作为对照区，运用湍流运动理论，比较分析了几种灌木林内的动力状况和水热状况。同时，结合土壤的水热状况，对几种灌木林的微气候效应作出了评价。为灌木林小气候研究理论提供了依据和物理参数。     

开发沙丛灌木饲料的加工工艺研究

通过对沙丛灌木的植物特性、结构和营养成分以及分布状况的分析。并结合对沙丛灌木生长和种植地区自然环境、资源、经济和加工技术等条件的调查和研究，认为采用适宜的加工设备和工艺。可将沙丛灌木开发成饲料，这对发展当地畜牧业具有十分积极的作用，同时也对当地的环境保护和促进经济发展具有非常重要的意义。     

The role of topkill in the differential response of savanna woody species to fire

Understanding the impact of fire on the demography of savanna trees and shrubs is necessary for understanding human impacts in tropical savannas. In a replicated experiment, we studied the impact of fire and vegetation cover on survival and growth of two subshrubs (Periandra mediterranea and Protium ovatum), two shrubs (Miconia albicans and Rourea induta) and three trees (Myrsine guianensis, Piptocarpha rotundifolia and Roupala montana) of the Brazilian cerrado savannas. Burning increased complete mortality (i.e. death of the individual) of five of the seven species, but primarily among individuals with stem diameters <4 mm. Stem mortality (i.e. topkill) was much more prevalent, primarily affecting individuals with stem diameter <32 mm, though all species experienced some topkill in even the largest size classes. Fires of higher intensity (flame length >2 m) caused greater mortality and topkill than fires of lower intensity (flame length <2 m). Pre-burn vegetation density had little effect on survival or resprout size, but did affect subsequent growth rates. Four species had greater growth rates in open sites, whereas only one species had greater growth rates in dense sites. For the three tree species and one shrub, resprouting individuals did not reach the minimum reproductive size within 1 year of burning, while the other shrub and the two subshrubs were able to reach reproductive size during this time, indicating that growth form largely determines the population response to frequent burning.     

12种旱生灌木及其发芽特性的研究

初步探讨了果壳、浸种、发芽床对干旱地区荒漠灌木植物种萌发的影响。结果表明:12种灌木种子在不同 发芽方法所得出的发芽结果有着明显的不同,掌握了种子发芽初次计数和末次计数时间。     

利用灌木制造硬质纤维的生产试验

为充分开发森林资源，利用当地灌木制造硬质纤维板的生产试验，结果表明：用灌木可以生产出合格的硬质纤维板。     

Coupled land-atmosphere modeling of the effects of shrub encroachment on nighttime temperatures

Changes in vegetation cover affect the interactions between the land surface and the overlying atmosphere with important impacts on surface energy balance and microclimate conditions. A major ongoing change in vegetation cover has been observed in dryland regions around the world, where desert shrubs are encroaching into arid grasslands. However, the impact of shrub encroachment on local climate has not been investigated. We used a mesoscale model coupled with a Land Surface Model to simulate the effects of shrub encroachment on nighttime temperatures. These effects can have an important effect on the establishment of shrubs and need to be represented well by land surface parameterization schemes that are also used in long-term climate simulations. Idealized 2-dimensional simulations were conducted with vegetation types corresponding to shrubland and grassland typical of the Northern Chihuahuan Desert. Simulated surface energy and radiation fluxes and near-ground air temperature were analyzed and compared with observations. Results show a good comparison between the simulations and observations as long as vegetation parameters are adjusted in the model to be in better agreement with the observed parameters. The sensitivity of the nighttime air temperatures to green vegetation fraction, albedo, emissivity and roughness length is investigated. The results indicate that the green vegetation fraction is the key factor that causes the higher nighttime temperature in shrubland than in adjacent grassland, mainly by its effects on soil surface insulation, soil thermal diffusivity, and therefore on ground heat fluxes.     

Estimation of shrub biomass by airborne LiDAR data in small forest stands

The presence of shrub vegetation is very significant in Mediterranean ecosystems. However, the difficulty involved in shrub management and the lack of information about behavior of this vegetation means that these areas are often left out of spatial planning projects. Airborne LiDAR (Light Detection And Ranging) has been used successfully in forestry to estimate dendrometric and dasometric variables that allow to characterize forest structure. In contrast, little research has focused on shrub vegetation. The objective of this study was to estimate dry biomass of shrub vegetation in 83 stands of radius 0.5 m using variables derived from LiDAR data. Dominant species was Quercus coccifera, one of the most characteristic species of the Mediterranean forests. Density of LiDAR data in the analyzed stands varied from 2 points/m² to 16 points/m², being the average 8 points/m² and the standard deviation 4.5 points/m². Under these conditions, predictions of biomass were performed calculating the mean height, the maximum height and the percentile values 80th, 90th, and 95th derived from LiDAR in concentric areas whose radius varied from 0.50 m to 3.5 m from the center of the stand. The maximum R² and the minimum RMSE for dry biomass estimations were obtained when the percentile 95th of LiDAR data was calculated in an area of radius 1.5 m, being 0.48 and 1.45 kg, respectively. For this radius, it was found that for the stands (n = 39) where the DTM is calculated with high accuracy (RMSE lower than 0.20 m) and with a high density of LiDAR data (more than 8 points/m²) the R² value was 0.73. These results show the possibility of estimating shrub biomass in small areas when the density of LiDAR data is high and errors associated to the DTM are low. These results would allow us to improve the knowledge about shrub behavior avoiding the cost of field measurements and clear cutting actions.