内蒙古大青山白茬子沟小流域典型森林植被的冠层降水再分配特征

利用生长季观测的降雨数据,分析了内蒙古大青山白茬子沟小流域白桦次生林和华北落叶松人工林林冠降雨截留、穿透雨及树干径流与降雨量的关系,以及降雨林冠截留过程的特征。结果表明:两种林分林冠截留量与降雨量的关系吻合对数回归模型;穿透雨量、树干径流量与降雨量均呈明显的一元线性关系,穿透雨量和树干径流量均随着降雨量的增加而增加。不同林分的林冠截留量、穿透雨量和树干径流量的月动态变化与总降水量的月变化基本一致;林内穿透雨率超过73%,冠层截留率9.81%~26.22%,树干径流0.72%~9.10%。     

红松人工林不同间伐强度对降雨再分配的影响

为研究间伐对红松人工林水源涵养功能的影响程度,该文以本溪县草河口地区70 年生不同间伐强度(对照区、中度区、极强区)的红松人工林为研究对象,研究不同间伐强度对红松人工林树干径流、穿透雨及林冠截留的影响,结果表明:红松人工林的穿透雨、树干径流以及林冠截留都会随降雨强度增加而增加,穿透雨量随间伐强度增加而增加,不同间伐强度的穿透雨率差异显著(p<0.05),树干径流率差异不显著。林冠截留量随间伐强度增加而减小,且不同间伐强度的林冠截留率差异显著(p<0.05)。     

太行山石质山区不同植被林冠截留降水的研究

通过穿透降雨和树干径流自动采集系统,对油松、侧柏、刺槐3种植被截留试验数据的分析,比较了3种典型人工林在天然降雨条件下林内穿透降雨和树干径流的差异。结果表明:3种植被林内穿透降雨与林外天然降雨都具极显著的正相关线性关系,林冠截留量与林外降雨量呈幂函数关系,平均截留率大小关系为油松侧柏刺槐。相同林外降雨量下产生的树干径流量大小关系为刺槐侧柏油松。此外,使用洒水称重法研究了灌木和草本植被的最大截留量,发现每千克灌草所截留的水量,油松林下为0.322kg/kg,侧柏林下为0.609kg/kg,刺槐林下0.316kg/kg,荒坡灌草地为0.453kg/kg,即侧柏荒坡油松刺槐。     

西江中下游生态公益林对降水截留分配效应研究

为了评估生态公益林涵养水源服务功能,选择德庆县三叉顶自然保护区生态公益林,定位观测2006年6月～2007年6月100次大气降水事件的截留分配效应。结果表明,观测期内降水总量为1 317.60mm,林冠截留量、树干茎流量和穿透水量分别是318.37,87.85和911.38 mm,林冠截留率、茎流率和穿透率分别为24.16%,6.67%和69.17%。林外降水量大于1.3 mm时才能观测到穿透雨,林外降水量达到3.0mm时才开始有树干茎流出现。林冠截留量、树干茎流量和穿透量与降水量均呈正相关,相关系数R2分别为0.788 8,0.957 7和0.965 9;林冠截留率与林外降水量呈负相关,而树干茎流率和穿透率呈正相关,相关系数R2分别为0.835 6,0.803 4和0.874 2。     

紫金山麻栎林降水分配格局研究

对紫金山栎林林冠截留、树干茎流与降水量之间的关系进行了研究。在观测的46场降水中,降水量达823.8 mm,林冠总截留量、树干茎流量和穿透雨量分别为207.95 mm、33.30 mm、582.55 mm,林冠截留率、树干茎流率和穿透率分别为25.24%、4.04%、70.71%。随着降水量的增大,林冠截留量、树干茎流量、穿透雨量及穿透率都有所增加,林冠截留率降低,树干茎流率在2～50 mm降水量级中逐渐增大,在>50 mm降水量级有所降低。林冠截留量与降水量之间呈幂函数关系,而树干茎流量、穿透雨与降水量之间呈线性相关。     

基于修正的Gash模型模拟缙云山毛竹林降雨截留

为了验证修正的Gash模型对缙云山毛竹林林冠截留模拟的适用性,基于2009年4—7月的气象和林分特征资料以及实测的穿透雨和树干茎流等资料,分析缙云山毛竹林林外降雨、穿透雨和树干茎流特征,并应用修正的Gash模型对林冠截留量进行模拟,对比分析周降雨累计截留量和单次降雨截留量的模拟值和实测值,采用敏感性分析法分析模型参数对截留量的影响程度。结果表明:研究期间共29次降雨,总降雨量为531.1mm,平均降雨强度为2.11mm·h-1,大部分为低雨强、低雨量级、长历时的降雨;穿透雨量、茎流量和林冠截留量的实测值分别为463.2,6.5和61.4mm,模拟值分别为461.1,6.1和63.9mm,模拟的截留量约高出实测值4.07%,模型计算的周累积截留量和单次降雨截留量与实测值相比的相对标准差分别为5.02%和7.13%,模拟效果较好,模型适用于缙云山毛竹林;以林冠郁闭度(c)对模拟结果影响最大,其次为平均降雨强度()、林冠持水能力(S)和林冠平均蒸发速率(),树干茎流系数(Pt)和树干持水能力(St)这2个参数对林冠截留总量影响很小。     

亚热带杉木、马尾松人工林的林内降雨、林冠截留和树干茎流

本文用统计分析方法对江西分宜县山下林场杉木、马尾松人工林的林内降雨、林冠截留和树干茎流进行了研究。结果表明:在该林分中林内降雨量和树干茎流量随降雨量的增加而以直线形式增加;林冠截留量随降雨量的增加呈幂函数关系上升。在杉木林内,随郁闭度的增大,林内降雨率和树干茎流率减少,而林冠截留率增大,马尾松林和杉木林相比,林内降雨率和树干茎流率较大,而林冠截留率较小。     

亚热带杉木、马尾松人工林的林内降雨、林冠截留和树干茎流*

本文用统计分析方法对江西分宜县山下林场杉木、马尾松人工林的林内降雨、林冠截留和树干茎流进行了研究。结果表明:在该林分中林内降雨量和树干茎流量随降雨量的增加而以直线形式增加;林冠截留量随降雨量的增加呈幂函数关系上升。在杉木林内,随郁闭度的增大,林内降雨率和树干茎流率减少,而林冠截留率增大,马尾松林和杉木林相比,林内降雨率和树干茎流率较大,而林冠截留率较小。     

小兴安岭红松林冠层截留降雪特征及模拟

【目的】研究小兴安岭红松林林外降雪、林内穿透雪和林冠截雪特征,深入认识森林冠层对降雪截留再分配的影响,为定量评价该区域红松林的生态雪水文效应提供理论依据。【方法】连续2年冬季定位观测红松林林外降雪和林内穿透降雪特征,并调查林分结构因子,利用基于物理机制的半经验性理论降雪截留模型模拟红松林冠次截留雪量。【结果】2013年11月至2014年4月和2014年11月至2015年4月,共观测到17场降雪,平均次降雪量10.3 mm,平均次降雪强度4.41 mm·d-1;平均次穿透降雪量7.4 mm,平均次穿透率69.3%,次穿透降雪量和次穿透率均随次降雪量增加而增大;林冠次截留雪量与次降雪量呈较好的幂函数正相关关系,并与郁闭度显著正相关(P0.05),而林冠次降雪截留率与次降雪量呈负指数函数关系(P0.05),次降雪量、胸径、郁闭度、树高和坡度对林内次穿透雪量有显著影响;林冠截留降雪存在饱和截留量限制,林冠次降雪截留率随次降雪量增加逐渐降低;林冠次降雪截留率与次降雪量和郁闭度紧密相关(P0.05),而与胸径、树高、胸高断面积、林冠高度、林冠宽度、叶面积指数和坡度等指标相关性不显著。【结论】次降雪量和林冠郁闭度对林冠次截留雪量影响显著,次降雪量、胸径、郁闭度、树高和坡度对林内次穿透降雪量有显著影响。Pomeroy等(2002)和修正的降雪截留模型能较好拟合小兴安岭地区红松林冠次截留雪量。     

湖南省张家界马尾松林冠生态水文效应及其影响因素分析

对马尾松林的穿透雨、林冠截留和树干流的水文效应进行监测,并对其影响因素进行初步分析.结果表明:降雨主要集中在5-8月,期间穿透雨量、林冠截留量和树干流量分别占全年分配量的一半以上.穿透雨量、树干流量和林冠截留量与降雨量显著正相关,而穿透雨率和树干流率随着降雨强度的增加而升高,但截留率逐渐降低.马尾松林穿透雨量最大值出现在最大雨量级(≥90.0 mm)和3.0～4.0 mm·h-1雨强范围内; 但是截留率最大值出现在最小的雨量级(＜10.0 mm)和＜1.0 mm·h-1雨强范围内; 树干流率最大值出现在中等雨量(60.0～70.0 mm)和2.0～3.0 mm·h-1雨强范围内,显然降雨特征是影响马尾松林内雨的关键因子.林下穿透雨率存在明显的空间异质性,靠近树干的林冠内部穿透雨率高于林冠外部,而且空间异质性随着降雨量的增加而降低.马尾松树干流与胸径及冠层面积呈极显著正相关.     

Characteristics of canopy interception and its simulation with a revised Gash model for a larch plantation in the Liupan Mountains,China

Canopy interception is a significant proportion of incident rainfall and evapotranspiration of forest ecosystems. Hence, identifying its magnitude is vital for studies of eco-hydrological processes and hydrological impact evaluation. In this study, throughfall, stemflow and interception were measured in a pure Larix principis-rupprechtii Mayr.(larch) plantation in the Liupan Mountains of northwestern China during the growing season(May–October) of 2015, and simulated using a revised Gash model. During the study period, the total precipitation was499.0 mm; corresponding total throughfall, stemflow and canopy interception were 410.3, 2.0 and 86.7 mm,accounting for 82.2, 0.4 and 17.4% of the total precipitation, respectively. With increasing rainfall, the canopy interception ratio of individual rainfall events decreased initially and then tended to stabilize. Within the study period, the simulated total canopy interception, throughfall and stemflow were 2.2 mm lower, 2.5 mm higher and0.3 mm lower than their measured values, with a relative error of 2.5, 0.6 and 15.0%, respectively. As quantified by the model, canopy interception loss(79%) mainly consisted of interception caused by canopy adsorption, while the proportions of additional interception and trunk interception were small. The revised Gash model was highly sensitive to the parameter of canopy storage capacity,followed by the parameters of canopy density and mean rainfall intensity, but less sensitive to the parameters of mean evaporation rate, trunk storage capacity, and stemflow ratio. The revised Gash model satisfactorily simulated the total canopy interception of the larch plantation within the growing season but was less accurate for some individual rainfall events, indicating that some flaws exist in the model structure. Further measures to improve the model's ability in simulating the interception of individual rainfall events were suggested.     

Predicted models for potential canopy rainfall interception capacity of landscape trees in Shanghai,China

This study aimed to build urban green space with environmental functions (e.g., canopy interception of rainfall) and adjust hydrographic balance to some extent for forecasting the potential canopy rainfall interception capacity of landscape trees and the effects on rainfall distribution. The effects of urban green space on interception and runoff reduction have been conceptualized, but not quantified. Therefore, the leaf area index and the water storage abilities of 17 kinds of landscape trees in common use were measured, at Shanghai, and canopy rainfall interception capacity was calculated using the interception formula. The predicted rainfall interception capacity models were established choosing tree morphological characteristics (diameter at the breast height, height, and crown width) as variables. The model test showed that the errors of 12 models were less than 5% between the predicted and the measured data and the errors of four models were within 5 and 10%, with the error for only one model being between 10 and 11%. Also, the study indicated that conifer trees were able to hold more rainfall compared with broad-leaved trees per unit area (k). The results showed that these models could effectively predict the potential capacity of canopy rainfall interception for landscape trees in Shanghai area and were beneficial for species selection in constructing plant communities, aiming to improve the rainfall interception capacity of urban green space.     

Canopy fuel characteristics and potential crown fire behavior in Aleppo pine (Pinus halepensis Mill.) forests

Canopy fuel characteristics that influence the initiation and spread of crown fires were measured in representative Aleppo pine (Pinus halepensis Mill.) stands in Greece. Vertical distribution profiles of canopy fuel load, canopy base height and canopy bulk density are presented. Aleppo pine canopy fuels are characterized by low canopy base height (3.0–6.5 m), while available canopy fuel load (0.96–1.80 kg/m²) and canopy bulk density (0.09–0.22 kg/m³) values are similar to other conifers worldwide. Crown fire behavior (probability of crown fire initiation, crown fire type, rate of spread, fireline intensity and flame length) in Aleppo pine stands with various understory fuel types was simulated with the most updated crown fire models. The probability of crown fire initiation was high even under moderate burning conditions, mainly due to the low canopy base height and the heavy surface fuel load. Passive crown fires resulted mostly in uneven aged stands, while even aged stands gave high intensity active crown fires. Assessment of canopy fuel characteristics and potential crown fire behavior can be useful in fuel management and fire suppression planning.     

桂西南马尾松人工林生长对不同强度采伐的动态响应

[目的]研究不同强度采伐下马尾松的生长动态,筛选适宜的采伐强度,为马尾松人工林近自然经营提供技术支撑。[方法]2007年10月在14年生马尾松人工林(保存密度1 100株·hm~(-2))内进行采伐试验,设置4个采伐强度,即保留密度分别为225、300、375、450株·hm~(-2),以不采伐为对照;其后,自2008年开始连续8 a,每2 a测定1次马尾松的胸径、树高、枝下高和冠面积等生长指标,并计算单株材积和林分蓄积量,应用方差分析和Duncan多重比较分析生长指标对不同采伐强度的动态响应。[结果]表明:采伐强度显著影响林分生长,其中,林分平均胸径、单株材积、冠面积的年均增长量随保留密度增大而减小,但均显著高于对照(P0.05)。采伐后第1 3年,马尾松冠面积增长量显著高于采伐后期,胸径则在采伐后第3 5年最高,而不同采伐强度对林分树高生长影响不明显。保留密度显著影响林分枝下高和蓄积量的动态变化,其年均增长量随密度增大而递增。5个处理间林分蓄积年均增长量的差异随林龄的增大而逐渐缩小。[结论]马尾松人工林生长对不同强度采伐的动态响应以树冠最敏感,冠面积首先陡然增大,进而引起胸径的快速生长。树高和枝下高在采伐后年均增量变化相对平稳。4个采伐强度均显著促进单株材积生长,而仅保留密度为225株·hm~(-2)的采伐对林分蓄积增长量影响显著。综合比较林分的单株材积和林分蓄积连年增长量,建议在桂西南15年生马尾松人工林近自然经营中宜选择300株·hm~(-2)的保留密度进行采伐。     

基于树高和树冠因子的立木材积模型研究

[目的]由于激光雷达技术已经能准确测定立木树高及相关树冠因子,应用该技术建立基于树高和树冠因子的立木材积模型,为激光技术在森林蓄积估计中提供技术支撑.[方法]利用云杉、冷杉、栎树、桦树4个树种组的3 010株实测样木数据,分析了立木材积与胸径、树高、树冠因子之间的相关关系;并通过对数回归方法构建了基于树高和树冠因子的立木材积模型,用确定系数R²和平均预估误差MPE等6项指标对模型进行评价.[结果]表明,立木材积与单一因子之间的相关,以胸径最为紧密,其次是树高,再次是冠长和冠幅.基于树高和树冠因子的立木材积模型中,以树高和冠幅作为解释变量的二元模型效果较好,再增加冠长因子的三元模型改进不大.云杉、冷杉、栎树、桦树4个树种组基于树高冠幅的立木材积模型,其R²分别为0.81、0.80、0.76和0.77,MPE分别为4.7%、5.3%、5.4%和5.3%,模型预估精度均能达到95%左右.[结论]本文对材积与林木因子之间相关关系的定量分析,建立了云杉、冷杉、栎树、桦树4个树种的立木材积模型,模型预估精度高.为激光雷达技术定量估测森林参数提供了依据.     

基于空间结构的杉木树冠生长可视化模拟

[目的]定量研究杉木林分中不同空间结构对林木冠形生长变化的影响,实现基于空间结构的杉木树冠生长可视化模拟。[方法]以湖南省攸县黄丰桥国有林场为试验区,在林分中选择并划分空间结构单元,进行冠形和空间结构数据调查,将林木东南西北4个方向的活枝下高、冠高、冠幅作为林木冠形描述因子,将周围木影响距离、相对树高定义为水平空间结构参数Ph和垂直空间结构参数Pv,使用多元逐步回归的分析方法,分析冠形描述因子与年龄、水平、垂直空间结构参数的关系,建立不同空间结构下杉木冠形的生长变化模型。基于B样条曲线模拟杉木冠形,构建不同生长阶段的三维杉木模型,结合三维动态渲染技术,实现杉木树冠生长的可视化模拟。[结果]通过对年龄和水平、垂直空间结构参数的逐步回归分析,结果表明:林木活枝下高、冠高和年龄、垂直空间结构参数呈现显著相关关系,模型决定系数R~2分别为0.754和0.813;林木各向冠幅和年龄、水平空间结构参数呈现极显著相关关系,模型决定系数R~2为0.623。基于杉木树冠生长模型和三维动态渲染技术,实现了树冠在东南西北不同方向的生长可视化。[结论]通过划分空间结构单元的方法选择研究目标并进行数据调查,使用逐步回归的方法,分析杉木冠形数据和年龄与空间结构数据的关系,建立树冠各方向活枝下高、冠高、冠幅的生长模型,结合三维动态渲染技术,使用MOGRE三维渲染引擎作为工具,实现了基于空间结构的杉木树冠生长可视化模拟。     

采伐对天然云冷杉针阔混交林半分解层凋落物现存量、含水率及林分郁闭度空间异质性的影响

[目的]以吉林省汪清林业局金沟岭林场4块天然云冷杉针阔混交林为研究对象,探究不同采伐强度下[重度(采伐强度21. 21%),中度(采伐强度11. 22%),轻度(采伐强度6. 29%)和对照(未采伐)]凋落物半分解层现存量、含水率与林分郁闭度的空间异质性。[方法]采用地统计学方法,对各样地凋落物半分解层现存量、含水率与林分郁闭度数据进行普通克里金插值,得到3个指标的空间分布格局图。[结果]表明:在10 100 m的尺度上,采伐使得凋落物现存量由离散型分布转变为聚集型分布,而对凋落物含水率的空间格局影响不大;所有样地的郁闭度均表现为聚集型分布,采伐一定程度上影响了其在中度采伐与重度采伐样地的空间异质性;凋落物现存量与林分郁闭度之间不存在相关性,而在对照样地,凋落物现存量与含水率存在显著的负相关,但相关程度较弱(r 0. 3)。[结论]采伐对凋落物半分解层含水率空间异质性影响不大;中度采伐与重度采伐样地的郁闭度异质性可能是由于采伐不均匀所导致;采伐使凋落物现存量空间异质性程度降低。     

Rainfall redistribution of a virgin Pinus koraiensis forest and secondary Betula platyphylla forest in Northeast China

A virgin Pinus koraiensis forest in the Xiaoxing’an Mountains was selected to study its rainfall redistribution effect via 97 rainfall occurrences during a growing season. The following results were obtained: 1) The canopy interception of the P. koraiensis virgin forest amounted to 98168 mm during a growing season (May to September), which was 19.6 per cent of the total rainfall and 1.3 times that of a secondary Betula platyphylla forest. Compared with other forest types in China (11.4%–36.5%), the ratio of the canopy interception in the virgin pine forest was at a medium level. 2) The throughfall of the virgin pine forest was 395.77 mm, which accounted for 78.7% of total precipitation, and the stem-flow was 8.78 mm, accounting for 1.74% of total precipitation. Compared with the secondary birch forest, the virgin pine forest had lower throughfall but higher stem-flow. 3) Cubic regression equations (p < 0.01) which describe the relation between throughfall, stem-flow and canopy interception in the virgin pine forest and rainfall in an open field were fitted. A linear regression equation (p < 0.01) was found to be a better fit for the relationship between throughfall of the secondary birch forest and rainfall outside the forest. Factors affecting throughfall and stem-flow were analyzed, with results providing a good reference to the study of rainfall redistribution in coniferous and broadleaved mixed forests. __________ Translated from Science of Soil and Water Conservation, 2006, 4(6): 61–65 [译自: 中国水土保持科学]