Soil Organic Matter Dynamics Along a Vertical Vegetation Gradient in the Gongga Mountain on the Tibetan Plateau

Our knowledge about soil organic matter (SOM) dynamics is limited although this is an important issue in the study of responses of ecosystems to global climate changes. Twelve sampling plots were set up every 200 m from 1 700 to 3 900 m along the vertical vegetation gradient along the east slope of Gongga Mountain. Samples were taken from all 12 plots for SOM content measurement, although only 5 of the 12 plots were subjected to radiocarbon measurements. A radiocarbon isotope method and a time-dependent model were used to quantify the SOM dynamics and SOM turnover rates along the vertical vegetation gradient. The results showed that the SOM turnover rate decreased and turnover time increased with soil depth for all vegetation types. The litter layer turnover rates presented a clear trend along the gradient. The litter layer turnover rates decreased with an increase in elevation, except that the litter layer turnover rate of mixed forest was higher than that of evergreen forest. Climatic factors, such as temperature and precipitation, were the main factors influencing the surface soil carbon dynamics. The turnover rates of the subsoil (including the A, B, and C horizons in the soil profiles) along the vertical gradient had no clear trends. The SOM of subalpine shrub and meadow turned over more slowly than that of the forest types in almost all soil horizons. The characteristic of short roots distributing in the upper part of the soil profile leads to different SOM dynamics of shrub and meadow compared with the forest types. Coniferous and mixed forests were susceptible to carbon loss from the young carbon pool, but their long and big roots resulted in high △^14C values of the deep soil profiles and increased the input of young carbon to the deep soil. In evergreen forest, the carbon cumulative ability from the B horizon to the C horizon was weak. The different vegetation types, together with their different modes of nutrient and carbon intake, may be the mechanism conditioning the subsoil organic matter dynamics.     

快速城市化阶段上海海岸带景观格局的时空动态

海岸带景观动态是海岸带综合管理的重要方面.本文利用多时相遥感影像解译的土地利用数据研究了1994-2005年快速城市化阶段上海海岸带的景观动态变化特征.结果表明:人类干扰导致了海岸带景观的破碎化程度增加,斑块隔离程度加大,景观多样性增大;海岸带基质景观(即农田)的面积持续减少,优势度明显降低,破碎化加大,反映城市化的人工景观类型(如工业用地、交通用地、公共设施用地、居住用地)面积不断增加,成为第二大景观类型,其他用地(主要是在建用地)的面积不断增加,显示出海岸带仍在经历快速城市化过程;导致海岸带景观变化的驱动力主要是国家政策、地方政府的决策、上海市的快速城市化,以及沿海大型开发项目(如浦东国际机场、洋山国际深水港、上海化学工业区等).在分析海岸带城市化带来的生态环境后果的基础上,建议实施综合海岸带管理以实现海岸带的可持续发展.

Abstract：

Coastal zone's landscape dynamics is recognized as one of the important aspects of in-tegrated coastal management. In this paper, the land use datasets derived from time series aerial images were employed to study the coastal landscape dynamics of Shanghai from 1994 to 2005, the period of rapid urbanization. During this period, human disturbances caused landscape frag-mentation and isolation, and increased landscape diversity. The area of main landscape (agricul-tural land) continued to decrease, its dominance declined, and became more fragmentation; while the areas of artificial landscapes reflecting urbanization (e.g.,lands for industry, traffic, public facility, and residence) increased, becoming the second dominant landscape type. The increasing area of other land uses (mainly constructing sites) implied that this coastal zone was still undergoing rapid urbanization. Central government policies, local government decision-mak-ing, rapid urbanization of Shanghai, and coastal big-scale development programs such as Pudong International Airport, Yangshan International Harbor, and Shanghai Chemical Industry Park were the main driving forces for these coastal landscape changes. Based on the analysis of the ecologi-cal consequences of this rapid urbanization, some suggestions for integrated management were made to promote the sustainable development of Shanghai coastal zone.     

Forest crown density restoration and influencing factors in the burned area of northern Great Hing′an Mountains of China

Fire in the Great Hing′an Mountains in 1987 affected an area of more than 1.33×10⁶ hm², creating a mosaic of burn severities across the landscape, which strongly affected the postfire vegetation succession. In addition, undulate landform and anthropogenic disturbance inevitably influenced the postfire vegetation succession. In this paper, a typical area was selected for a case study, including two forest farms, covering more than 1.2×10⁵ hm². In order to reveal how the forest changed in 2000 (13 years after the fire) by comparing with 1987 (prefire) and to find out the relationship between the forest succession and the affecting factors, forest crown density was selected as the criterion, and forest type, fire severity, silviculture practice, elevation and topography gradients were designed as the affecting variables. With the support of GIS software, each variable was classified and entered into the multivariate regression model. The result showed that the forest crown density changed notably in 2000 compared with that of the prefire, and all the variables significantly affected the forest crown density. The most important affecting variable was elevation, which was positively correlated with the forest crown density. The next was fire severity, which was negatively related with the forest succession. The effects of topographic factors and silviculture practices on forest crown density were relatively small.     

Changes in landscape pattern of alpine wetlands on the Zoige Plateau in the past four decades

Based on RS, GIS and Apack software, the indices of landscape pattern such as landscape area index, landscape diversity index and landscape fragmentation index were chosen in order to describe changes in the spatial pattern of alpine wetland landscape on the Zoige Plateau during 1966–2000. Results showed that alpine wetland landscape was characteristic of marsh wetlands, which had the biggest patch number and the largest area. The alpine wetland landscape had higher spatial heterogeneity. The largest area appeared in Zoige County with the highest wetland ratio; comparatively, Aba County and Luqu County had much lower wetland ratio. The total area of alpine wetland landscape decreased rapidly during 1966–1986, but it began to increase after 1986. The wetland landscape area shrank by 59857.83 hm² during 1966–2000. The alpine wetland landscape showed the characteristics of concentrated distribution in the past four decades, with higher convergence and dominance indices. The centroid of wetland landscape moved 12.54 km in the northwest direction firstly, 11.33 km in the southeast direction, and then 1.1 km in the north direction.     

How does tree age influence damage and recovery in forests impacted by freezing rain and snow?

The response and recovery mechanisms of forests to damage from freezing rain and snow events are a key topic in forest research and management. However, the relationship between the degree of damage and tree age, i.e., whether seedlings, young trees, or adult trees are most vulnerable, remains unclear and is rarely reported. We investigated the effect of tree age on the degrees of vegetation damage and subsequent recovery in three subtropical forest types-coniferous, mixed, and broad-leaved —in the Tianjing Mountains, South China, after a series of rare icy rain and freezing snow events in 2008. The results showed that damage and recovery rates were both dependent on tree age, with the proportion of damaged vegetation increasing with age(estimated by diameter at breast height, DBH) in all three forest types and gradually plateauing. Significant variation occurred among forest types. Young trees in the coniferous forest were more vulnerable than those in the broad-leaved forest. The type of damage also varied with tree age in different ways in the three forest types. The proportion of young seedlings that were uprooted(the most severe type of damage) was highest in the coniferous forest. In the mixed forest, young trees were significantly more likely to be uprooted than seedlings and adult trees, while in the broad-leaved forest, the proportion of uprooted adult trees was significantly higher than that of seedlings and young trees. There were also differences among forest types in how tree age affected damage recovery. In the coniferous forest, the recovery rate of trees with broken trunks or crowns(DBH 2.5 cm) increased with tree age. However, in the mixed and broad-leaved forests, no obvious correlation between the recovery rate of trees with broken trunks or crowns and tree age was observed. Trees with severe root damage did not recover; they were uprooted and died. In these forests, vegetation damage and recovery showed tree age dependencies, which varied with tree shape, forest type, and damage type. Understanding this dependency will guide restoration after freezing rain and snow disturbances.     

Present status and rate of carbon sequestration of forest vegetation in Jilin Province,Northeast China北大核心CSCD

Aims Forests represent the most important component of the terrestrial biological carbon pool and play an important role in the global carbon cycle. The regional scale estimation of carbon budgets of forest ecosystems, however, have high uncertainties because of the different data sources, estimation methods and so on. Our objective was to accurately estimate the carbon storage, density and sequestration rate in forest vegetation in Jilin Province of China, in order to understand the role of the carbon sink and to better manage forest ecosystems. Methods Vegetation survey data were used to determine forest distribution, size of area and vegetation types regionally. In our study, 561 plots were investigated to build volume-biomass models; 288 plots of shrubs and herbs were harvested to calculate the biomass of understory vegetation, and samples of trees, shrubs and herbs were collected to analyze carbon content. Carbon storage, density and sequestration rate were estimated by two forest inventory data (2009 and 2014), combined with volume-biomass models, the average biomass of understory vegetation and carbon content of vegetation. Finally, the distribution patterns of carbon pools were presented using ArcGIS soft ware. Important findings Understory vegetation biomass overall was less than 3% of the tree layer biomass, varying greatly among different forest types and even among the similar types. The carbon content of trees was between 45.80% 52.97%, and that of the coniferous forests was higher than that of the broadleaf forests. The carbon content of shrub and herb layers was about 39.79% 47.25% and 40%, respectively. Therefore, the vegetation carbon conversion coefficient was 0.47 or 0.48 in Jilin Province, and the conventional use of 0.50 or 0.45 would cause deviation of ±5.26%. The vegetation carbon pool of Jilin Province was at the upper range of regional carbon pool and had higher capacity of carbon sequestration. The value in 2009 and 2014 was 471.29 Tg C and 505.76 Tg C, respectively, and the total increase was 34.47 Tg C with average annual growth of 6.89 Tg C•a1. The corresponding carbon sequestration rate was 0.92 t•hm 2•a1. The carbon density rose from 64.58 t•hm 2 in 2009 to 66.68 t•hm2 in 2014, with an average increase of 2.10 t•hm2. In addition, the carbon storage of the Quercus mongolica forests and broadleaved mixed forests, accounted for 90.34% of that of all forests. The carbon increment followed the order of young > over-mature > near mature > middle-aged > mature forests. The carbon sequestration rate of followed the order of over-mature > young > near mature > middle-aged > mature forests. Both the carbon increment and the carbon sequestration rate of mature forests were negative. Furthermore, spatially the carbon storage and density were higher in the east than in the west of Jilin province, while the carbon increment was higher in northeast and middle east than in the west. The carbon sequestration rate was higher in Tonghua and Baishan in the south, followed by Jinlin in the middle and Yanbian in the east, while Baicheng and Songyuan, etc. in west showed negative values.     

The effects of hoarding habitat selection of Eurasian red squirrels (Sciurus vulgaris) on natural regeneration of the Korean pines

Cone-cores discarded by Eurasian red squirrels were used to study the habitat selection of Korean pine-seeds hoarding, in forest patch Nos. 16 and 19 in Liangshui Nature Reserve, China. Ten transects with a total length of 15 km were uniformly set, and data from 343 valid samples were collected in a 369 hm² area. One hundred and eighty four were hoarding samples which were determined according to the cluster analysis based on the number of the cone-cores, while the other 159 were control samples. The principal component analysis, using 11 habitat factors, suggested that the distance from Korean pine forest, forest type, number of Korean pine seedlings, density and type of bush significantly influenced the habitat selection of hoarding by Eurasian red squirrels. The results of Bailey’s method indicated that the squirrels showed (1) preference for natural coniferous forest, natural fir and spruce forest and planted spruce forest; (2) avoidance of planted Korean pine forest and planted larch forest; and (3) random use of natural Korean pine forest. Moreover the distance from the Korean pines in the range of 150–600 m showed no effect on the habitat selection of hoarding by the Eurasian red squirrels. More than 50% of the cone-cores were discarded in either fringe or gap of the Korean pine forest with more cone-cores found at <300 m than at 300 m away (One-Way ANOVA; df = 3, 183, F = 5.76, p = 0.0009). This demonstrated that the Eurasian red squirrels could take the cone-cores out of the Korean pine forest. The density of bushes in samples of hoarding area was significantly lower than that in control samples (Kruskal–Wallis test; df = 1, χ² = 83.99, p < 0.0001). The number of the Korean pine seedlings in samples of hoarding area was significantly higher than that in the control samples (Kruskal–Wallis test; df = 1, χ² = 104.13, p < 0.0001). This illustrated that the hoarding habitat favoured the germination of the Korean pine seedlings. In conclusion the behavior of hoarding Korean pine seeds by the Eurasian red squirrels can promote the regeneration and dispersal of the Korean pines.     

桂西北典型喀斯特区生态服务价值的环境响应及其空间尺度特征

Study on ecosystem service values (ESVs) is the bridge of understanding ecosystem and economic decision-making. To investigate the response of ESVs to ambient environment and their spatial scales is an urgent work in the process of ecological restoration and sustainable development in southwest China. Based on the previous research results, the remote images, and weather data of 31 years (1975-2005), the response of ESVs to ambient environment and their spatial scales in a typical karst area of northwest Guangxi, China were evaluated with the method of empirical mode decomposition (EMD) in this paper. The results showed that ESVs had obvious variations with changes in elevation, rocky types and soil types, and had corresponding characteristics of spatial scales. The ESVs in middle and low elevation areas were higher, but they decreased due to human activities such as deforestation. The ESVs in peak-cluster depression areas were lower, and they would increase as influenced by policies such as returning farmland to forestland. The ESVs were influenced by rocky types, showing lower values but an increasing trend in the typical karst regions while higher values but a decreasing trend in non-karst regions. The average ESVs in the west part of the study region, which is not only the main nature reserve for rare wildlife species in Guangxi, but also one of the best preserved natural vegetation regions in China, were more than 15,000 RMB Yuan ha-1,. Comparatively, the ESVs were less than 10,000 Yuan ha-1 in the middle part of the region attributed to low vegetation coverage, serious peak-cluster depression and karst rocky desertification. After about 20 years, that is from 1985 to 2005, the ecosystem conditions had been improved and the ESVs had increased in the middle and eastern part of this study region. On the contrary, in most western part, which was dominated by subtropical evergreen broad-leaved forest, they had been worsened, and the balance values of ESVs were negative. As for the relationships of ESVs with rocky types and soil types, lime soil and red soil were the two main soil types that contributed to ESVs (The total contribution was above 60%, and it is 63.77%,64.37%,64.56%,64.91% respectively in the four years of 1985, 1990, 2000 and 2005.). The variance contribution of intrinsic mode function (IMF) and trend (R) showed that there were obvious special sales for ESVs in this study area, and the main spatial scales were about 2.7 km, 5.5 km, and 11.6 km. The variance contribution ratio was 12.29%, 11.26%, 11.49% respectively, and the trend (R) was high (17.74%). In conclusion, this study indicated that ecosystem conditions in the typical karst area were improved owing to the application of rocky desertification control policies, such as ecological migration and returning farmland to forestland. Besides, the main spatial scales of ESVs in the study area were the interactions of terrain, physiognomy, land use / land cover and human activities.     

Research on characteristics of biomass distribution in urban forests of Shanghai metropolis based on remote sensing and spatial analysis北大核心CSCD

Aims Monitoring and quantifying the biomass and its distribution in urban trees and forests are crucial to understanding the role of vegetation in an urban environment. In this paper, an estimation method for biomass of urban forests was developed for the Shanghai metropolis, China, based on spatial analysis and a wide variety of data from field inventory and remote sensing. Methods An optimal regression model between forest biomass and auxiliary variables was established by stepwise regression analysis. The residual value of regression model was computed for each of the sites sampled and interpolated by Inverse-distance weighting (IDW) to predict residual errors of other sites not subjected to sampling. Forest biomass in the study area was estimated by combining the regression model based on remote sensing image data and residual errors of spatial distribution map. According to the distribution of plantations and management practices, a total of 93 sample plots were established between June 2011 and June 2012 in the Shanghai metropolis. To determine a suitable model, several spectral vegetation indices relating to forest biomass and structure such as normalized difference vegetation index (NDVI), ratio vegetation index (RVI), difference vegetation index (DVI), soil-adjusted vegetation index (SAVI), and modified soil-adjusted vegetation index (MSAVI), and new images synthesized through band combinations such as the sum of TM2, TM3 and TM4 (denoted Band 234), and the sum of TM3, TM4 and TM5 (denoted Band 345) were used as alternative auxiliary parameters . Important findings The biomass density in urban forests of the Shanghai metropolis varied from 15 to 120 t•hm2. The higher densities of forest biomass concentrated mostly in the urban areas, e.g. in districts of Jing'an and Huangpu, mostly ranging from 35 to 70 t•hm2. Suburban localities such as the districts of Jiading and Qingpu had lower biomass densities at around 15 to 50 t•hm2. The biomass density of Cinnamomum camphora trees across the Shanghai metropolis varied between 20 and 110 t•hm2. The spatial biomass distribution of urban forests displayed a tendency of higher densities in northeastern areas and lower densities in southwestern areas. The total biomass was 3.57 million tons (Tg) for urban forests and 1.33 Tg for C. camphora trees. The overall forest biomass was also found to be distributed mostly in the suburban areas with a fraction of 93.9%, whereas the urban areas shared a fraction of only 6.1%. In terms of the areas, the suburban and urban forests accounted for 95.44% and 4.56%, respectively, of the total areas in the Shanghai metropolis. Among all the administrative districts, the Chongming county and the new district of Pudong had the highest and the second highest biomass, accounting for 20.1% and 19.18% of the total forest biomass, respectively. In contrast, the Jing'an district accounted for only 0.11% of the total forest biomass. The root-mean-square error (RMSE), mean absolute error (MAE) and mean relative error (MRE) of the model for estimating urban forest biomass in this study were 8.39, 6.86 and 24.22%, respectively, decreasing by 57.69%, 55.43% and 64.00% compared to the original simple regression model and by 62.21%, 58.50%, 65.40% compared to the spatial analysis method. Our results indicated that a more efficient way to estimate urban forest biomass in the Shanghai metropolis might be achieved by combining spatial analysis with regression analysis. In fact, the estimated results based on the proposed model are also more comparable to the up-scaled forest inventory data at a city scale than the results obtained using regression analysis or spatial analysis alone.     

Carbon storage of the forests and its spatial pattern in Nei Mongol,China北大核心CSCD

Aims Forest carbon storage in Nei Mongol plays a significant role in national terrestrial carbon budget due to its large area in China. Our objectives were to estimate the carbon storage in the forest ecosystems in Nei Mongol and to quantify its spatial pattern. Methods Field survey and sampling were conducted at 137 sites that distributed evenly across the forest types in the study region. At each site, the ecosystem carbon density was estimated thorough sampling and measuring different pools of soil (0 100 cm) and vegetation, including biomass of tree, grass, shrub, and litter. Regional carbon storage was calculated with the estimated carbon density for each forest type. Important findings Carbon storage of vegetation layer in forests in Nei Mongol was 787.8 Tg C, with the biomass of tree, litter, herbaceous and shrub accounting for 93.5%, 3.0%, 2.7% and 0.8%, respectively. Carbon density of vegetation layer was 40.4 t•hm2, with 35.6 t•hm2 in trees, 2.9 t•hm2 in litter, 1.2 t•hm2 in herbaceous and 0.6 t•hm2 in shrubs. In comparison, carbon storage of soil layer in forests in Nei Mongol was 2 449.6 Tg C, with 79.8% distributed in the first 30 cm. Carbon density of soil layer was 144.4 t•hm2. Carbon storage of forest ecosystem in Nei Mongol was 3 237.4 Tg C, with vegetation and soil accounting for 24.3% and 75.7%, respectively. Carbon density of forest ecosystems in Nei Mongol was 184.5 t•hm2. Carbon density of soil layer was positively correlated with that of vegetation layer. Spatially, both carbon storage and carbon density were higher in the eastern area, where the climate is more humid. Forest reserves and artificial afforestations can significantly improve the capacity of regional carbon sink.     

北京东灵山地区景观格局及破碎化评价

 人类活动已将北京东灵山地区地带性原生暖温带落叶阔叶林破坏殆尽。本项研究基于植被图,在地理信息系统(GIS)支持下,选择多种景观格局指数,从斑块面积、斑块数、斑块周长、分形维数和多样性的角度进行了格局分析和破碎化评价。结果表明,该区景观类型以次生林和灌丛为主,面积分布极不均衡,且多呈小面积零散分布。各森林类型的分布面积、周长和斑块数一般小于灌丛、草地和农田,且边界密度和斑块密度较高,显示出较高程度的破碎化。各景观类型的平均斑块面积和周长遵从分形规律,分形维数1.30,景观整体的斑块边界的褶皱程度较低。景观多样性的Shannon指数,景观组分的类型面积(2.262)<类型周长(2.435)<类型斑块数(2.675),均小于等概率情形(2.940)。上述结果均显示,该区森林景观破碎化程度较高。     

A study on the relationship between vegetation pattern and environment in the upstream of Minjiang River,China

The vegetation pattern in the upstream of Minjiang River,and its relationship with environment factors,such as landscape position(elevation,slope,aspect),precipitation and temperature and soil are analyzed in this paper.The data used in this Paper were based on the landscape map derived from 1994 TM imagery.The results were as follows:1)dominant landscape types were forest,shrub land and grassland,which were very similar in terms of area ratio(32.87%,31.85% and 28.44%,respectively);2)the patch shape of conifer forest and mixed forest was complicated while that of broad-leaved forest and cultivated land was simple;3)the fragmentation of conifer forest and mixed forest was serious in contrast with low fragmentation of broad-leaved forest and cultivated land;and 4)closed scrub and grassland had a high contagion and good connectivity while mixed forest had a lower contagion and bad connectivity.In addition,the vegetation distribution pattern of upstream of Minjiang River Was closely related with elevation and temperature,but the relationship between vegetation and precipitation was not statistically significant.     

四川小相岭山系植被景观的斑块特征分析

利用3S技术与景观生态学相结合的方法,分别从斑块的基本特征、形状特征、聚集与散布特征以及多样性特征4个方面对四川小相岭山系的植被景观空间格局进行了详细分析。研究结果表明：1）该山系存在9种植被类型,斑块数为1849,斑块面积约186951hm^2。其中,针阔叶混交林分布面积与密度最大,是山系的基质植被类型;而次生落叶阔叶林面积最少,景观地位最弱。2）常绿落叶阔叶混交林形状最为简单,但聚集度高;而针阔叶混交林形状最不规则,边界最为复杂;另外,次生落叶阔叶林连接性最弱,高山草甸斑块聚集程度最高。3）该山系斑块的多样性、优势度、均匀度指数值分别为1．54、0．66和0．67,植被类型丰富多样、植被错综复杂、各植被斑块间镶嵌度较好。     

内蒙古托克托地区景观格局特征分析

内蒙古托克拖地区位于我国农牧交错带黄河中游,农业历史悠久、应用遥感影像,结合地面调查,绘制了研究区植被类型现状图,在GIS支持下,选取多种景观指数,分别从斑块数、斑块面积、班块周长和多样性指数等方面对研究区景观结构特征和多样性进行分析,结果表明,整个研究区景观是一个显著的农林牧景观嵌体,农田面积281.72km^2,占研究区总面积的34.64%,林地景观占22.0%,草地景观占6.65%。研究区东北部景观基底为农田景观,在该基底上,基本上以居民点为中心较密集与规律地分布着杨树＋榆树林班块,共89块,斑块密度达2.568个·km^-2,斑块平均面积仅为0.39km^2,基底与斑块2种景观单元在该区域十分典型。杨树＋榆树林和丘陵沟壑景观类型边界密度值较大,说明杨树＋榆树林景观类型的破碎化程度较大,而丘陵沟壑边界切割破碎,可以认为,该地区在人类活动的影响下,景观结构呈现较明显的人类干扰特征。     

桂西北喀斯特区域景观结构特征与石漠化的关系

采用典范对应分析方法（CCA）,从景观类型和景观两个层次选取了16个景观格局指数来表征景观结构特征,分析了广西省环江县喀斯特区域的景观结构与石漠化强度的关系.结果表明,平均斑块面积、平均旱地斑块面积、景观形状指数和聚集度指数与CCA排序的前两个排序轴相关性强,对区域石漠化过程具有重要影响.研究区潜在石漠化主要与平均旱地斑块面积、平均旱地斑块分维数和平均灌木林地斑块分维数呈较强的正相关,与旱地斑块数呈负相关;轻度石漠化与分维数、平均未利用地斑块分维数和灌木林地斑块数的正相关性较强;中度石漠化和重度石漠化主要与平均未利用地斑块面积呈正相关、与平均灌木林地斑块分维数呈负相关,说明景观结构特征对土地石漠化程度具有一定的指示意义.排序分析结果较清晰地解释了研究区石漠化程度沿景观结构特征梯度的变化规律.     

Dynamics of Forest Landscape Patterns Along the Main Road in Xishuangbanna

In this paper, we investigated dynamics of forest landscape along the main roads in Xishuangbanna from 1976 to 1988, and from 1988 to 2003, using FRAGSTATS software and the GIS technology, based on the results interpreted from the Landsat MSS TM ETM imageries in 1976, 1988, 2003. Some representative quantitative indices of landscape diversity, including mean patch area, percent of landscape , perimeter-area fractal dimension , aggregation , Shannon′s diversity index , and Shannon′s equality index were used to describe the changes in the spatial pattern of landscape elements. Comparing with whole region of Xishuangbanna during last 27 years , the results showed that the man-made landscape (rubber plantation) and non-forested landscape along the main road expanded faster and their percentage were greater, whereas the natural landscape ( primitive forest patches) reduced faster and its percentage was smaller . There were obviouseffects of road on landscape which the forest coverage was decreased , and rubber plantation landscape was increased with the distance from the road . The natural forest landscape had been fragmented. Especially, the tropical seasonal rain forest was affected severely, while the area and contagion of rubber plantation and shrub increased. The whole landscape pattern along the main road tended to be diversiform, equal and fragmented. The landscape was still dominated by natural landscapes but this dominance was weakening . A case study about the displacement of landscape patch centroids showed that the spatial centroids of many types of landscape, including rubber plantation, tropical seasonal rain forest, mountain rain forest, shrub and non-forested land had moved away from the road. All of these changes in landscape pattern would lead the deterioration of these region environments.     

河北小五台山主要植被类型的分布与地形的关系：基于遥感信息的分析

小五台山是河北省最高峰,具有较完整的暖温带植被垂直带谱。本文通过野外群落植被调查,结合由TM遥感影像解译1：50000地形图制作的DEM数据而得到的植被图,分析了小五台山主要植被群落的分布状况及其与地形的关系。结果表明,小五台山从低海拔到高海拔,依次出现灌丛、阔叶林、针阔混交林、暗针叶林、矮林、灌丛、草甸等植被类型。森林景观的面积最大,占总面积的60．7％;平均斑块面积最大的是阔叶林和亚高山草甸,斑块破碎化最严重的是水体和针阔混交林。不同的植被类型在不同的地形条件下分布特点不同,林地在北坡所占面积比例(占总面积的75％)远大于南坡(46%),说明水分条件是小五台山森林分布的限制因子之一;灌丛和草甸与林地相反。随海拔高度的变化,不同植被类型的分布面积比例发生变化,出现替代现象,形成植被垂直带谱。由于坡度的影响,增加了带谱内植被组成的复杂性。     

A study on the relationship between vegetation pattern and environment in the upstream of Minjiang River, China

The vegetation pattern in the upstream of Minjiang River, and its relationship with environment factors, such as landscape position (elevation, slope, aspect), precipitation and temperature and soil are analyzed in this paper. The data used in this paper were based on the landscape map derived from 1994 TM imagery. The results were as follows: 1) dominant landscape types were forest, shrub land and grassland, which were very similar in terms of area ratio (32.87%, 31.85% and 28.44%, respectively); 2) the patch shape of conifer forest and mixed forest was complicated while that of broad-leaved forest and cultivated land was simple; 3) the fragmentation of conifer forest and mixed forest was serious in contrast with low fragmentation of broad-leaved forest and cultivated land; and 4) closed scrub and grassland had a high contagion and good connectivity while mixed forest had a lower contagion and bad connectivity. In addition, the vegetation distribution pattern of upstream of Minjiang River was closely related with elevation and temperature, but the relationship between vegetation and precipitation was not statistically significant. __________ Translated from Journal of Beijing Normal University (Natural Science), 2005,41(4) [译自: 北京师范大学学报(自然科学版), 2005,41(4)]     

东江流域集水区城市化差异及其对景观格局的影响

基于东江流域1991、1998、2006年TM影像,通过分别代表东江流域上游、中游和下游的3个集水区各地物类型面积和景观指数分析了东江流域城市化程度与进程的差异及其对集水区景观格局的影响.结果表明：东江流域从上游到下游的城市化程度和进程依次增加;城市化对水体和植被的影响较大,城镇用地面积与水体面积呈显著正相关,城镇用地面积总体上与森林面积呈显著负相关,但当城市化发展到相对较高水平时可能促进森林恢复;1991—2006年间,上游的a集水区、中游的b集水区的景观格局均呈复杂化趋势;1991—1998年间,下游的c集水区景观格局呈复杂化,而1998—2006年间,则趋于简单,表明随着城市化的进行,景观格局呈“简单-复杂-简单”的变化趋势.研究东江流域景观格局从上游到下游的规律性变化对于整个流域的协调管理与可持续发展具有一定的指导意义.     

Differences in distribution patterns around river confluences among hydrophilic vegetation groups

In riparian areas, the distribution patterns of plant species are generally considered to depend on their flooding tolerance. Areas around river confluences are known to experience frequent and/or strong flooding events and provide diverse habitats for plants in riparian areas. However, the degree to which hydrophilic vegetation types increase their distribution around confluences may depend on their flooding tolerance. To test this hypothesis, we compared patch numbers and total areas of ten vegetation groups between confluences and single-flow areas. The vegetation groups were classified on the basis of life form and morphology of dominant species. Additionally, we compared total area of natural bare ground (an index of flooding disturbance) between confluences and single-flow areas. We found that patch numbers of annual grass, forb, and vine, perennial grass and forb, and riparian forest vegetation, as well as total areas of annual forb and vine, perennial grass and forb, bamboo and riparian forest vegetation, and natural bare ground, were greater around river confluences than in single-flow areas. On the other hand, patch numbers of shrub vegetation and total areas of annual grass, perennial vine, willow, and shrub vegetation decreased around confluences. These results suggest that confluences enhance diverse, but not all, types of habitat for hydrophilic vegetation. Thus, river confluences are a key element in maintaining diverse riparian vegetation.