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1.
灌木生物量与立地条件关系的研究   总被引:1,自引:0,他引:1  
通过对27个灌木(马桑、黄荆)生物量样方的测定表明,马桑生物量为“15.66T/ha,黄荆生物量为10.78T/ha.应用数量化理论Ⅰ方法,确定了立地条件影响马桑、黄荆生物量的四个主导因子,即土属、坡向、地貌和部位.最后还给出了灌木生物量的预测方程.  相似文献   

2.
以乌拉特荒漠草原区白刺属、锦鸡儿属为建群种的植物群落为研究对象,采用样方调查法,测定其生物量,研究其防风固沙、保持水土的机理.结果表明:(1)白刺属植物群落的灌木层生物量比锦鸡儿属植物群落的灌木层生物量高,而锦鸡儿属植物群落草本层生物量比白刺属植物群落的草本层生物量高,白刺属植物群落的灌木层生物量与草本层生物量呈正相关...  相似文献   

3.
灌木生物量测定的研究进展   总被引:9,自引:0,他引:9  
介绍及比较了当前灌木生物量研究中较为常用的5种方法:样方法、平均木法、相对生长法、数量化法和非破坏性方法.对影响灌木生物量的环境因子和影响灌木生物量测定的测树因子的研究成果进行综述,最后介绍和讨论了灌木生物量预测模型的变量选择、精度评价指标和选型等问题.  相似文献   

4.
笔者利用经典统计和地统计分析方法,研究了山西省森林木本层生物量和碳密度的变异性及空间分布格局。结果表明,山西省森林乔木层和灌木层生物量平均值分别为60.26t/hm^2和3.22t/hm^2,木本层的碳密度平均值为31.42t/hm^2.灌木层生物量为强变异,乔木层生物量、木本层地上生物量和碳密度均为中等变异水平。乔木层生物量、灌木层生物量、地上生物量的最优半变异函数模型均为指数模型,碳密度为圆形模型;普通克里格差值的空间预测模型拟合效果较好。  相似文献   

5.
杉木人工林间伐后林下植被生物量的研究   总被引:5,自引:0,他引:5  
对杉木人工林间伐后林下植被生物量的变化进行测算分析,结果表明,间伐以后,由于林下空间环境因子的变化,植被生物量大量增加,为对照区的3.25倍其中灌木生物量增加273.5%,由对照区占林下植被总生物量的79.78%,提高到91.75%.且灌木种类增多,并尤以层外植物较多.其生物量占灌木生物量的50.25%;草本生物量增加32.49%;林下死地被物生物量达9100kg/hm2,比对照区增加92.80%。  相似文献   

6.
采用样地调查法,对海南沿海木麻黄人工林林下植被进行调查、并测定其生物量。结果表明:木麻黄人工林林下灌木层地上部分生物量大于地下部分生物量,草本层地下部分生物量大于地上部分生物量;灌木层各器官的生物量分配规律为干(3.41 t·hm-2)根(3.19 t·hm-2)叶(2.10 t·hm-2)枝(1.41 t·hm-2),干和根的生物量比例较大;灌木层、草本层生物量与总生物量均呈正相关关系,灌木层生物量与草本层生物量则呈负相关关系,说明灌木层与草本层存在竞争。  相似文献   

7.
中国柳树资源丰富,可作为生物量生产的柳树约50多种.研究了9种乔木柳和6种灌木柳的生物量,选育的杂种生物量较高.柳树生物量人工林的主要经营形式是柳树薪炭林、柳条林和柳杆林.  相似文献   

8.
晋北4种灌木地上生物量预测模型的构建   总被引:2,自引:0,他引:2  
采用收获法对晋北地区4种常见灌木(黄刺玫、酸枣、荆条和柠条)进行随机采样,分析其生物量及分配格局,同时利用简单指标对其生物量构建预测模型。研究结果表明:1)灌木地上总生物量间差异较大,从大到小依次为荆条黄刺玫柠条酸枣;黄刺玫和荆条地上不同部位生物量表现为叶老龄枝新生枝,而柠条和酸枣则表现为老龄枝叶新生枝;2)不同灌木枝叶比差异很大,柠条枝叶比是黄刺玫的2.79倍,而荆条和黄刺玫的枝叶比近似于1;3)依据不同灌木及同种灌木不同器官选择冠幅直径乘以高CH、冠幅直径C、冠幅体积V为自变量构建的4种灌木生物量模型均以幂函数模型最优,可用于推算灌木生物量。  相似文献   

9.
培育灌木柳生物质能源林的前景   总被引:4,自引:0,他引:4  
阐述了国际上灌木柳能源林的发展现状、我国高生物量灌木柳良种和栽培技术研究进展,论述了用灌木柳营造能源林的优势和灌木柳在我国生物质能源林培育方向的应用前景。并介绍了我国新选育的灌木柳高产新品种的优良特性及高产优势,供我国培育高生物量能源林使用。  相似文献   

10.
巴郎山川滇高山栎灌丛地上生物量及其对海拔梯度的响应   总被引:15,自引:1,他引:14  
采用标准地和样方收获法,对卧龙自然保护区5个海拔高度上18个样地的川滇高山栎灌丛生物量进行调查.结果表明:1)用地径(D)、树高(H)估测单株木各器官生物量的适合模型为指数模型和幂函数模型,指数模型最佳,相关系数0.941~0.998;而用D2H估测单株木各器官生物量的适合模型为直线和指数模型,直线模型最佳,相关系数0.982~0.996;2)川滇高山栎灌丛群落地上部分总生物量为25.22 t·hm-2,各层生物量排序为川滇高山栎灌木层>枯枝落叶层>伴生灌木>苔藓层>草本层,其生物量占总生物量的百分率分别为72.20%、23.71%、1.80%、1.66%和0.63%;3)川滇高山栎灌木种群平均总生物量为18.21 t·hm-2,各器官生物量大小为干>枝>叶>皮,分别占总生物量的43.28%、26.88%、19.82%和10.02%.海拔2 720~2 920 m地带川滇高山栎灌木干、枝、叶、皮的生物量比例约为4:3:2:1;海拔3 020~3 120 m地带川滇高山栎灌木干、枝、叶、皮的生物量比例约为4:2:2:1.4)随着海拔升高,川滇高山栎优势单株地径、高度及生物量呈减小趋势.海拔2 720~2 920 m处,川滇高山栎灌木地上部分各器官生物量呈纺锤形分布,集中分布在株干高2.0~3.0 m处,约占总量的60%~70%;在海拔3 020~3120 m处或低海拔的干旱生境,川滇高山栎种群地上部分器官生物量呈金字塔形分布,个体地上部分生物量分布随树干的升高而降低,集中分布在0~1.0 m处,占总生物量的60%以上,0.0~2.0 m处的生物量占总生物量的94%~99%.  相似文献   

11.
Estimates of biomass and leaf area index (LAI) are important variables in ecological and climate models. However, very little is known about the biomass and LAI of the vegetation in the Scandinavian mountain area. In this study, extensive field data consisting of diameter at breast height for 13?000 trees and height for 550 trees were collected. Furthermore, biomass and leaf area (LA) measurements for 46 mountain birch trees [Betula pubescens ssp. czerepanovii (Orlowa) Hämet-Ahti] and biomass and LA measurements for shrubs (e.g. Salix spp., Betula nana) at 36 sample plots were carried out. Multiplicative linear models for trees were fitted to tree biomass and LA measurements using basal area at breast height, height, crown diameter and diameter at stump height as explanatory variables. Additive linear models were fitted to shrub biomass and LAI measurements using coverage of shrubs, topographic variables and soil type as explanatory variables. The functions were then used to predict the biomass and LAI for trees and shrubs for the entire test area, which covers an area of 84 km2 and is located at latitude 68° N. The mean total biomass estimates were 27?493 kg ha?1 for the forest and 7650 kg ha?1 for snow-protected heath and meadow vegetation. The LAIs were 2.06 and 0.52, respectively. For monitoring biomass and LAI in the Scandinavian mountain area, the functions could also be applied to data from traditional field-based inventories and the estimates might further be improved by combining the estimates from the test area with auxiliary information such as remote sensing images.  相似文献   

12.
对乌拉特灌木优势种进行了统计分析,以为该地区的生态保护后期工作提供数据支持。通过样方调查法对该地区种优势灌木进行了研究,结果表明:乌拉特地区共有野生灌木植物群落50种,隶属于11科,29属;其中优势灌木为20种,对20种优势灌木群落的盖度、高度、数量生物量、干鲜比进行了统计分析,从中选取6种典型灌木,得出了灌木地上生物量与土壤含水量、孔隙度有显著性的关系,而与土壤容重之间没有显著性关系。  相似文献   

13.

Context

The quantification of biomass of woody plants is at the basis of calculations of forest biomass and carbon stocks. Although there are well-developed allometric models for trees, they do not apply well to shrubs, and shrub-specific allometric models are scarce. There is therefore a need for a standardized methodology to quantify biomass and carbon stocks in open forests and woodlands.

Aims

To develop species-specific biomass estimation models for common shrubs, as well as a multispecies shrub model, for the subtropical semiarid Chaco forest of central Argentina.

Methods

Eight shrub species (Acacia aroma, Acacia gilliesii, Aloysia gratissima, Capparis atamisquea, Celtis ehrenbergiana, Larrea divaricata, Mimozyganthus carinatus, and Moya spinosa) were selected, and, on average, 30 individuals per species were harvested. Their total individual dry biomass was related with morphometric variables using regression analysis.

Results

Crown area as well as crown-shaped variables proved to be the variables with the best performance for both species-specific and multispecies shrub models. These allometric variables are thus recommended for standardized shrub biomass assessments.

Conclusion

By accounting for the shrub component of the vegetation, our models provide a way to improve the quantification of biomass and carbon in semiarid open forest and woodlands.  相似文献   

14.
Despite the importance of fodder shrubs to small ruminant diets and production in arid and semi-arid ecosystems, they are often not considered when quantifying grazing land potential. This oversight is mainly due to the time consuming and costly traditional techniques used to estimate shrub biomass. The shrub fodder component should be measured to avoid underestimation of the carrying capacity of rangelands. In this study, we present a fast, reliable and non-destructive method to estimate canopy vegetation cover to obtain aboveground shrub biomass. The experiment was conducted under field conditions in northwest Syria, where seedlings of seven shrub species were monitored for one year: Atriplex leucoclada (Moq.) Boiss., A. halimus L., A. lentiformis (Torr.) S. Watson, A. canescens (Pursh) Nutt., A. nummularia Lindl., Salsola vermiculata L. and Haloxylon aphyllum (C.A. Meyer) Bunge. The experimental layout was a randomized complete block design with five replications. We explored the effectiveness of digital vegetation charting technique (DVCT) for estimating shrub canopy cover. Aboveground shrub biomass was clipped to estimate the dry matter (DM) weight per species and to determine its relationship to canopy cover. In this study, an estimate of greenness (percent green vegetation cover) was extracted by way of greenness algorithms. Simple linear regressions between vegetation cover and biomass for 210 plots were performed. The cover of the seven species differed (P < 0.01): A. leucoclada had the highest vegetation cover (56%) and H. aphyllum the lowest (7%). Vegetation cover and DM biomass were positively correlated (P < 0.01) with R-squared ranging from 0.66 (H. aphyllum) to 0.84 (S. vermiculata). Our method provided reasonable estimations of canopy coverage which could predict aboveground phytomass. We conclude that DVCT offers a rapid, reliable and consistent measurement of shrub cover and biomass provided that shrubs have open architecture. This study shows the potential of digital cameras and image processing to determine cover/biomass in a non-destructive, timely and cost efficient way.  相似文献   

15.
广西石山灌木生物量估算模型的建立   总被引:2,自引:0,他引:2  
根据广西全区森林资源分布特点,在桂林、百色、柳州、河池等7市的22个县设置2m×2m的石山灌木样方62个,调查灌木优势种名、株数、平均高、平均地径和平均盖度,采用全部收获法分别获取枝、干、叶、根鲜重。选择地径和高2个因子与各器官生物量拟合,分别建立生物量模型,认为用该模型估算不同地区石山灌木生物量是科学、可行的。  相似文献   

16.
[目的]研究桂西南岩溶区不同恢复模式群落的生物量及其林下植物多样性的特点,为该区域的生物多样性保护、生态功能恢复效果评价积累基础数据。[方法]以桂西南岩溶区4种不同恢复模式为研究对象,采用样方法对林下植物多样性进行研究;采用收获法研究灌木层与草本层的地上、地下生物量及凋落物层现存量;采用异速生长模型来估算乔木层的地上生物量,并参考IPCC根茎比来量化乔木的地下生物量。[结果]表明:共调查记录林下植物85种,隶属于46科,81属,其中,灌木植物25科,46属,50种;草本植物21科,35属,35种;不同恢复模式群落生物量的变化趋势为自然恢复林(166.66 t·hm-2)任豆林(48.61 t·hm-2)吊丝竹林(36.54 t·hm-2)灌草坡(0.96 t·hm-2)。[结论]不同恢复模式灌木层物种丰富度差异不显著,最高的为灌草坡(16种),其次为任豆林(15种),最低为自然恢复林(12种);草本层物种丰富度最高的为任豆林(12种),其次为灌草坡(10种),最低为自然恢复林(4种)。自然恢复林乔木不同组分生物量与任豆林、吊丝竹林之间差异显著(P0.05);灌草坡的灌木、草本地上生物量与吊丝竹林、任豆林、自然恢复林之间差异显著(P0.05)。吊丝竹林、任豆林的灌草生物量表现为草本层灌木层,而灌草坡与自然恢复林的灌草生物量则表现为灌木层草本层。  相似文献   

17.
沙生灌木是我国西部干旱、半干旱地区丰富的生物质资源。文中在介绍沙生灌木木材学特性的基础上,归纳总结了近年来我国沙生灌木资源在新型人造板——重组木、木塑复合材、轻质工程材料、纳米复合材料等木质复合材料领域的研究现状,展望了沙生灌木资源在木质复合材料领域的发展趋势,旨在进一步推动沙生灌木资源在木质复合材料领域的应用与发展。  相似文献   

18.
国内外灌木生物量模型研究综述   总被引:4,自引:0,他引:4  
灌木林是自然界中广泛存在的一种陆地生态系统类型, 是森林资源的重要组成部分。文中对国内外灌木生物量模型的研究现状进行了综述, 从数据采集、建模方法和模型评价3个方面系统总结了灌木生物量模型研建的技术要点。数据采集主要包括样本单元数的确定、测定因子的选定和样本数据采集3部分, 其中样本数据采集又包括野外鲜质量测定和实验室干质量测定2部分。建模方法的重点是确定灌木生物量模型的结构和选择参数估计方法, 而模型评价的核心是选定合适的评价指标。文中从开展国家级森林植被生物量监测的角度提出建立灌木生物量模型的有关建议, 即首先要确定合理的建模样本单元数, 再选择合适的灌木生物量建模技术方法, 还要重视对所建模型的评价, 给出模型的预估精度指标。  相似文献   

19.
Biomass and net primary productivity (NPP) are two important parameters in determining ecosystem carbon pool and carbon sequestration. The biomass storage and NPP in desert shrubland of Artemisia ordosica on Ordos Plateau were investigated with method of harvesting standard size shrub in the growing season (June-October) of 2006. Results indicated that above- and belowground biomass of the same size shrubs showed no significant variation in the growing season (p〉0.1), but annual biomass varied significantly (p〈 0.01). In the A. ordosica community, shrub biomass storage was 699.76-1246.40 g.m^-2 and annual aboveground NPP was 224.09 g-m^-2·a^-1. Moreover, shrub biomass and NPP were closely related with shrub dimensions (cover and height) and could be well predicted by shrub volume using power regression.  相似文献   

20.
异速模型评估森林植被生物量有机碳储量   总被引:3,自引:0,他引:3  
在孟加拉的吉大港南部森林地区,利用异速模型评估森林植被的有机碳的储量.异速模型被分别应用测试树木(被划分两个胸高直径级)、灌木和草本植物.采用基部面积估算胸高直径级为从> 5 cm 到 ≤ 15 cm 和> 15 cm树木的生物量有机碳储量模型最好,分别有很高的决定系数(胸高直径级> 5 cm 到 ≤ 15 cm 的r2 为0.73697,胸高直径级> 15 cm 的r2为0.87703),且回归系数(P = 0.000)显著.其它模型(包括采用树高,胸高直径,树高和胸高直径,以及综合树高、胸高直径和木材密度)的线性和对数关系都表现出很低的决定系数.分别建立了20种优势树种的异速模型,采用树木基部面积的模型都得到很高的决定系数值.单独采用灌木和草本植物总生物量的异速模型有较高的决定系数(灌木的r2 为0.87948,草本植物的r2 为0.87325),且回归(系数)性显著(P = 0.000).生物量有机碳的评估是复杂的和耗时的研究,本研究所建立的异速模型可以应用于孟加拉和其它热带(地区)国家的森林植被的有机碳储量的测算.  相似文献   

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