东北林区贮木场火灾智能探测预警系统的研究

通过对林区贮木场火灾预警系统的设计、区域划分及火灾探测器的布局,并以东北林区——贮木场为实例进行应用分析,结果表明,贮木场内报警区域可根据场内楞堆区域的个数及作业生产线划分,探测区域按照500 m2<区域<1 000 m2进行划分,火灾探测器按照3 m×6.5 m间距进行安装,气体探测器安装在楞堆的东南方向,室外自检时间为4 h,区域报警系统采用无极性的二线制系统,集中报警采用三线制系统。     

汤旺河林业局森林资源消长动态的GIS空间分析

以汤旺河林业局1988年和2008年两期林相图、地形图和森林经理调查数据为基础资料,利用地理信息系统软件ArcGIS9构建两期森林资源空间数据库,运用叠加分析法对6种地类、7种林型和2种起源的森林资源的空间消长情况进行研究的结果表明：1988--＇2008年,有林地作为该地区的优势景观要素,面积增加了9．38％;红松林...     

古黟村落园林空间特质研究

得益于优美的自然环境,徽州古黟县村落园林修建因地制宜,形式多变,徽商的资金投入、文人士子的文化活动也促进了其发展。分析黟县地区古代村落园林的构成要素——山水、建筑和花木,得出村落建设与自然环境深度融合渗透的特征,最后从3个空间层次介绍了黟县村落呈现的“园中园”空间特质：崇山环绕、丰水潆洄的水口园林,水木清华、宁静致远的园圃村居式园林,和小中见大、含蓄深远的住宅庭园。     

云南松毛虫越冬代幼虫自然种群空间分布型的研究

通过样方调查计算，采用聚集度指标法，测定云南松毛虫越冬代幼虫的空问分布型，建立了最适抽样数关系式，并对其进行了序贯抽样分析。结果表明：云南松毛虫越冬代幼虫种群在林内呈聚集分布，其Iwao回归方程为m*=5．2181 1．0207x^-、复相关系数R=0．9918；最适抽样株数为：N=621．81/x^- 2．07。     

基于GIS的森林资源遥感调查方法研究

在试验研究的基础上 ,提出了在GIS支持下的遥感数据预处理 样地调查 前期调查信息叠合 -图象判读 -调查因子估测的技术路线 ,充分利用前期调查图面信息、小班属性数据信息进行遥感图象判读和小班调查因子估测的技术方法 ,有效地提高了判读的正判率和调查因子的估计精度 ,并产出了 1∶1万小班基本图 ,提高了调查成果的实用性     

武夷山风景名胜区景观空间格局研究

景观结构又称景观空间格局 ,是大小和形状不一的景观嵌块体在景观空间上的排列 (伍业钢等 ,1992 )。景观结构决定着景观功能 ,而功能的改变最终将从结构的变化中反映出来 ,因此 ,景观空间格局研究是景观生态学三大核心问题的核心 (贾宝全等 ,2 0 0 1)。景观异质性是景观最重要的属性之一 (Formanetal .,1986 ;Risseretal.,1984 ;Turner,1987) ,而景观空间格局既是景观异质性的具体体现者 ,同时又是多种生态过程在不同尺度上作用的最终结果 (贾宝全等 ,2 0 0 1)。景观空间格局及其变化和发展是自然、生物和社会要素相互作用的结果 ,影响着…     

广东省自然保护地生态修复条件分析与对策研究

自然保护地生态修复是筑牢生态安全屏障的重要举措。在分析广东省自然保护地生态环境现状、生态修复有利条件及存在问题的基础上,提出了“一带两屏三廊多点”布局,同时采取加强组织政策、资金机制、管理制度、技术人才、监测评价、宣传引导等保障措施,以实现广东自然保护地生态修复。     

A comparative analysis of spatial, temporal, and ecological characteristics of forest fires in seasonally dry tropical ecosystems in the Western Ghats, India

The Western Ghats in India is one of the 25 global hotspots of biodiversity, and it is the hotspot with the highest human density. This study considers variations in the regional fire regime that are related to vegetation type and past human disturbances in a landscape. Using a combination of remote sensing data and GIS techniques, burnt areas were delineated in three different vegetation types and various metrics of fire size were estimated. Belt transects were enumerated to assess the vegetation characteristics and fire effects in the landscape. Temporal trends suggest increasingly short fire-return intervals in the landscape. In the tropical dry deciduous forest, the mean fire-return interval is 6 years, in the tropical dry thorn forest mean fire-return interval is 10 years, and in the tropical moist deciduous forest mean fire-return interval is 20 years. Tropical dry deciduous forests burned more frequently and had the largest number of fires in any given year as well as the single largest fire (9900 ha). Seventy percent, 56%, and 30% of the tropical moist deciduous forests, tropical dry thorn forests, and tropical dry deciduous forests, respectively have not burned during the 7-year period of study. The model of fire-return interval as a function of distance from park boundary explained 63% of the spatial variation of fire-return interval in the landscape. Forest fires had significant impacts on species diversity and regeneration in the tropical dry deciduous forests. Species diversity declined by 50% and 60% in the moderate and high frequency classes, respectively compared to the low fire frequency class. Sapling density declined by ca. 30% in both moderate and high frequency classes compared to low frequency class. In tropical moist deciduous ecosystems, there were substantial declines in species diversity, tree density, seedling and sapling densities in burned forests compared to the unburned forests. In contrast forest fires in tropical dry thorn forests had a marginal positive effect on ecosystem diversity, structure, and regeneration.     

The contribution of structural indices to the modelling of Sitka spruce (Picea sitchensis) and birch (Betula spp.) crowns

Crown dimensions are important for the quantification of tree interactions in some growth models. This study investigates the potential for structural indices and other spatial measures to improve the prediction of crown radius and crown length for birch (Betula spp.) and Sitka spruce (Picea sitchensis (Bong.) Carr.) in forests in Wales. Crown dimensions were measured for 125 birch and 154 spruce in six fully stem-mapped research plots. These data were used to test the performance of a crown radius model and a crown length model which estimated crown dimensions on the basis of allometric relationships with stem dimensions. Spatial data from the six plots were used to calculate the structural indices mean directional index, diameter correlation index, species mingling, dbh and height dominance, and dbh differentiation, as well as the Hegyi competition index, and basal area of neighbours and larger neighbours, for each crown measurement sample tree, using various numbers of nearest neighbours. Two non-spatial indices, BAL and BALMOD, were also calculated for all sample trees for comparison. These spatial and non-spatial variables were then incorporated into modified crown dimension models. Model performances, in terms of efficiency and relative bias, were compared to determine whether the inclusion of spatial or non-spatial variables resulted in any improvements over models using tree dimensions alone. Crown length and radius were found to be correlated with most of the spatial measures studied. Models incorporating spatial variables gave improvements in performance over allometric models for every data set, and performed more consistently than models containing non-spatial variables. The greatest improvements were achieved for suppressed birch in unthinned forests which had irregularly shaped and strongly displaced crowns. The spatial variable contributing to the most efficient model for each data set varied widely. This points to the complexity of tree spatial interactions and indicates that there is a great deal of scope for investigating other structural indices and crown dimension model forms.     

Spatial patterns in mixed coniferous even-aged,uneven-aged and conversion stands

Different methodological approaches from the field of spatial statistics, the index of cluster size (ICS) and quadrat methods such as the two-term and three-term local quadrat variance (TTLQV and 3TLQV) and the new local variance (NLV) were tested to find a simple spatial measure to classify mixed coniferous uneven-aged, even-aged and conversion stands in the central Black Forest area of Germany. Altogether six stands were analysed with regularly distributed sample plots of 0.25 ha (50×50 m), each subdivided into 25 quadrats of 10×10 m. In each of the quadrats, diameter at breast height (dbh) for trees of the overstory (dbh>7 cm) was assessed and classified into three diameter classes. Height measurements were used to develop specific stand height curves for each stand and to calculate the standing volume per tree and per quadrat. The even-aged stands showed a regular distribution of the standing volume, while the conversion and uneven-aged stands were more clustered. This was detected using ICS, which proved to be a simple but very efficient measure for stand structure. The ICS also showed a highly random distribution of small and medium trees and a regular distribution of large trees of the overstory in the uneven-aged stand. Large and medium trees of one even-aged stand were also regularly distributed while conversion stands showed a regular, random or slightly clustered distribution of these trees. The more uneven the ages in the stands were, the larger were the phases detected by the NLV. The findings of the ICS were generally supported by the TTLQV and 3TLQV. The more uneven the ages in a stand were, the less clustered were the trees of different sizes of the understory. Clustering also decreased with increasing height of understory trees. The patterns detected in the investigated stands were related to the effect of different management regimes. Implications for the management of conversions stands based on the findings of the study are given.