基于城市园林树木景观三维模拟的绿视率估算方法

城市生态景观功能主要是绿色植物对人的视觉作用。绿视率被认为是一种比较好的衡量绿色空间视觉感受的描述因子。目前绿视率的估算主要基于静态的图像或者街景数据,而绿视率是一种动态的量,不同视点有不同的值,且植物是生长变化的。因此,本文提出一种基于数据和模型综合驱动的园林树木三维模拟景观的绿视率计算方法,其利用虚拟地理环境、虚拟植物等技术,通过道路、建筑物等硬质景观数据和树木模型驱动,建立城市园林树木三维景观;根据视觉成像原理,构建虚拟相机,模拟不同视点园林景观的视觉图像,然后识别表征植被信息的像素,从而计算绿视率。本文研发了园林树木景观三维模拟及绿视率估算原型系统,并以城市道路树木景观为例,模拟分析了机动车道中车辆乘客可获得的绿视率,与街景图像提取的绿视率值相近。该方法和系统可用于包含时间变量的不同生长阶段园林树木景观的绿视率评估,支持交互设置不同的视点参数,估算城市任意位置和任意方向的绿视率,评价过去、现在和未来的园林景观绿化质量,以人的视觉感知角度为城市绿地规划提供参考。     

喀斯特石漠化区植被生态质量变化及其驱动因素分析—以贵州为例

基于构建的能够同时反映植被覆盖和生产能力的植被综合生态质量指数,采用趋势分析、相关分析和残差分析等方法,对贵州喀斯特石漠化区植被生态质量变化及其驱动因素进行研究。结果表明：（1）2000-2021年喀斯特石漠化区植被综合生态质量指数呈上升趋势,增速为0.7a-1,石漠化区内除省的西南部、中部和北部局地显著降低外,占94.59%的区域植被生态质量均呈显著上升;（2）植被综合生态质量指数与降水、气温的偏相关系数均以正相关性为主,其中显著正相关区分别占17.48%、68.79%,与气候因子的复相关系数以正相关分布为主,显著正相关区占到81.79%,石漠化区内气候变化的综合作用有利于植被生态质量的提高;（3）喀斯特石漠化区植被生态质量变化受气候变化和人类活动共同驱动,两者的贡献比例分布为18.84%、81.16%,人类活动起主导作用,近年来全省实施的生态建设工程对喀斯特石漠化区植被改善具有明显的促进作用。     

The effects of climate change and phenological variation on agricultural production and its risk pattern in the black soil area of northeast China

The black soil region of northeast China is a vital food base and is one of the most sensitive regions to climate change in China. However, the characteristics of the crop phenological response and the integrated impact of climate and phenological changes on agricultural productivity in the region under the background of climate change are not clear. The future agricultural risk assessment has been insufficiently quantified and the existing risk level formulation lacks a sound basis. Based on remote sensing products, climate data, and model simulations, this study integrated a logistic function fitting curvature derivation, multiple linear regression, and scenario simulation to investigate crop phenology dynamics and their climate response characteristics in the black soil region. Additionally, the compound effects of climate and phenology changes on agricultural production and possible future risks were identified. The key results were as follows: (1) From 2000 to 2017, 29.76% of the black soil region of northeast China experienced a significant delay in the start of the growing season (SOS) and 16.71% of the total area displayed a trend for the end of the growing season (EOS) to arrive earlier. The time lagged effects of the SOS in terms of the crop response to climatic factors were site and climatic parameter dependent. The influence of temperature was widespread and its effect had a longer lag time in general; (2) Both climatic and phenological changes have had a significant effect on the inter-annual variability of crop production, and the predictive ability of both increased by 70.23%, while the predictive area expanded by 85.04%, as compared to that of climate change in the same period of the growing season; (3) Under the RCP8.5 scenario, there was a risk that the future crop yield would decrease in the north and increase in the south, and the risk area was constantly expanding. With a 2.0℃ rise in global temperature, the crop yield of the southern Songnen black soil sub-region would reduce by almost 10%. This finding will improve our understanding of the mechanisms underlying climate change and vegetation productivity dynamics, and is also helpful in the promotion of the risk management of agrometeorological disasters.     

南洛河流域洛南盆地表土孢粉与植被的关系(英文)

The catchment of South Luohe River in Central China is an important region for investigating modern pollen-environment relationship, because it is located in the transitional zone between south and north China, an environment which is sensitive to climate changes. In this study, 40 surface samples under ten vegetation types were collected to reveal the relationship between pollen assemblages and vegetation. The results show that the surface pollen assemblages reflect the vegetation quite well. In forest topsoils, the average of arboreal pollen content is greater than 40%, and the Selaginella sinensis spore is high. As to sparse forest grassland and shrub community, the average arboreal pollen is 13.2% and 16.6% respectively, and the shrub pollen is relatively higher than that of grassland samples. The grassland and farmland are characterized by low percentage of tree and shrub pollen(<10% and <1%), and high percentage of herbs(>80%). Pinus, Quercus and some other arboreal pollen can indicate the regional vegetation because of their dispersal ability. Quercus pollen is under-representative and so is Pinus. Artemisia pollen is significantly over-represented, has poor correlation with the plant coverage, and may reflect human disturbance. Gramineae can indicate plant quite well, but with low representation. High content of Chenopodiaceae probably suggests human impact. Predominant Selaginella sinensis can be used as an indicator of forest environment. Cluster analysis and principal components analysis of pollen assemblages can distinguish forest and non-forest vegetation well. The former method is better at separating pine and mixed forests, while the latter is more stable and could better differentiate farmland and other non-forest area. The first axis of PCA mainly reflects the humidity.     

干旱沙区典型人工植被群落下土壤剖面CO_2浓度变化特征及其驱动因子

对人工固沙植被区柠条(Caragana korshinskii)群落和油蒿(Caragana korshinskii)群落下不同深度的土壤气体采样,主要研究和讨论了不同类型人工植被区下土壤CO2浓度的变化特征及土壤温度和土壤水分对其的影响。结果表明:柠条和油蒿群落0~80cm处的土壤空气CO2浓度随着土壤深度的增加而增加,并且在0~40cm,油蒿群落下的土壤CO2浓度值大于柠条,而在40cm以下则相反。其平均值分别为1 229.3μmol·mol-1和1 242.7μmol·mol-1,大于同一深度流沙下土壤CO2浓度值978.9μmol·mol-1。土壤水分与二者的土壤CO2浓度变化趋势在年际尺度上具有一致性,浅层40cm内油蒿群落下的土壤CO2浓度和土壤水分含量的相关性明显大于柠条和流沙。而在40cm以下,则表现为柠条油蒿流沙。土壤温度对土壤CO2浓度的影响程度一般为流沙油蒿柠条,特别是流沙,在表层达到了极显著的水平,之后随着土壤深度的增加而降低。而土壤温度对油蒿和柠条样地土壤CO2浓度的影响较为复杂,呈现出先增加后减小的趋势。在年际尺度上,土壤水分含量是不同植被群落下土壤剖面CO2浓度的关键限制因子,而在日尺度上,土壤温度则为主要限制因子。据粗略估计,在0~80cm内,柠条和油蒿根系呼吸所占的比例约为30.7%和33.3%。     

Effects of fertilization on population density and productivity of herbaceous plants in desert steppe

In order to investigate the impacts of fertilization on population density and productivity on herbaceous plants in desert steppe, nitrogen （N）, phosphorus （P）, and N-P addition experiments were performed. Each fertilizer treatment included four addition levels, i.e., 0, 5, 10, and 20 g/m2. The results indicated that population density decreased as fertilization levels increased regardless of the sort of fertilizer. More specifically, total density as well as density ofArtemisia capillaris, Allium polyrhizum, and Enneapogon brachystachyus decreased significantly in 20 g/m2 treated plots, as compared with the control plots. Fertilization effects on aboveground and root biomasses were extremely similar to that found in population density; that is, both total aboveground biomass and aboveground biomasses for A. capillaris, A. polyrhizum, and E. brachystachyus were negatively correlated with increasing fertilization levels, with all determination coefficients （R2） greater than 0.80. Therefore, in the case of desert regions （annual precipitation 〈180 mm）, fertilization would inhibit population density and productivity of herbaceous plants.     

基于弱非线性RIDE模型的植物消浪数值模拟研究

通过基于考虑波浪非线性频散关系的椭圆型缓坡方程数学模型(RIDE),在原高阶的控制方程中添加植物阻力项,建立了模拟植物区波浪传播的数学模型(RIDE-VEG)。将计算结果与规则波在植物场中变形的水槽试验数据进行比较,验证良好,并分析了植物区特征参数对于波浪传播的影响。针对相对淹没度、植物密度和波浪周期等因素对波高衰减的影响进行敏感性分析,结果表明其三者对于消浪效果的影响是单调的,但消浪效果对于波浪周期的敏感程度则较其余二者为弱。与其他学者的研究相比,忽略流场效应的RIDE-VEG模型较其它的模型计算更为简便,且计算结果较为满意。     

Regional-scale identification of three-dimensional pattern of vegetation landscapes

The altitudinal pattern of vegetation is usually identified by field surveys,however,these can only provide discrete data on a local mountain.Few studies identifying and analyzing the altitudinal vegetation pattern on a regional scale are available.This study selected central Inner Mongolia as the study area,presented a method for extracting vegetation patterns in altitudinal and horizontal directions.The data included a vegetation map at a 1∶1 000 000 scale and a digital elevation model at a 1∶250 000 scale.The three-dimensional vegetation pattern indicated the distribution probability for each vegetation type and the transition zones between different vegetation landscapes.From low to high elevations,there were five vegetation types in the southern mountain flanks,including the montane steppe,broad-leaved forest,coniferous mixed forest,montane dwarf-scrub and sub-alpine shrub-meadow.Correspondingly,only four vegetation types were found in the northern flanks,except for the montane steppe.This study could provide a general model for understanding the complexity and diversity of mountain environment and landscape.     

Assessment of Human Impacts on Vegetation in Built-up Areas in China Based on AVHRR,MODIS and DMSP_OLS Nighttime Light Data,1992–2010

Since the reform and opening-up program started in 1978,the level of urbanization has increased rapidly in China.Rapid urban expansion and restructuring have had significant impacts on the ecological environment especially within built-up areas.In this study,ArcGIS 10,ENVI 4.5,and Visual FoxPro 6.0 were used to analyze the human impacts on vegetation in the built-up areas of 656Chinese cities from 1992 to 2010.Firstly,an existing algorithm was refined to extract the boundaries of the built-up areas based on the Defense Meteorological Satellite Program Operational Linescan System(DMSP_OLS)nighttime light data.This improved algorithm has the advantages of high accuracy and speed.Secondly,a mathematical model(Human impacts(HI))was constructed to measure the impacts of human factors on vegetation during rapid urbanization based on Advanced Very High Resolution Radiometer(AVHRR)Normalized Difference Vegetation Index(NDVI)and Moderate Resolution Imaging Spectroradiometer(MODIS)NDVI.HI values greater than zero indicate relatively beneficial effects while values less than zero indicate proportionally adverse effects.The results were analyzed from four aspects:the size of cities(metropolises,large cities,medium-sized cities,and small cities),large regions(the eastern,central,western,and northeastern China),administrative divisions of China(provinces,autonomous regions,and municipalities)and vegetation zones(humid and semi-humid forest zone,semi-arid steppe zone,and arid desert zone).Finally,we discussed how human factors impacted on vegetation changes in the built-up areas.We found that urban planning policies and developmental stages impacted on vegetation changes in the built-up areas.The negative human impacts followed an inverted′U′shape,first rising and then falling with increase of urban scales.China′s national policies,social and economic development affected vegetation changes in the built-up areas.The findings can provide a scientific basis for municipal planning departments,a decision-making reference for government,and scientific guidance for sustainable development in China.     

Effects of topography and land use on woody plant species composition and beta diversity in an arid Trans-Himalayan landscape,Nepal

Distribution patterns of plant species are believed to be impacted by small-scale habitat heterogeneity. However, there have been few comparative studies examining how woody vegetation composition and diversity varies with aspects of different orientations in the Trans-Himalayan region at a local scale. Here, we examined the effects of incoming solar radiation on variation in woody species composition and compared the diversity between the northeast- and southwest-facing slopes in a Trans-Himalayan valley of Nepal. We also examined the implicit interactions between slope orientation and land use in determining the compositional variations between the slopes. We selected two pairs of northeast- and southwest-facing slopes where the first pair has a similar land use and differs in exposure only（Pisang site） while the other pair has clear differences in land use in addition to slope exposure（Braka site）. In each site, we sampled 72 plots（36 on each slope） in which the presence and absence of woody species, environmental variables, and disturbance were recorded. Correspondence Analysis（CA） results suggested that the woody species composition significantly varied between northeast- and southwest-facing slopes at both sites, and was significantly correlated with measured environmental variables such as radiation index, altitude, and canopy openness. In the Braka site,mean alpha diversity was significantly higher on southwest-facing slopes. In contrast, beta diversity and gamma diversity were greater on northeast-facing slopes at both sites. Our results suggest that topographic variables（e.g., radiation index） affect species composition between the slopes, likely due to their influence on small scale abiotic environmental variables. However, the effects of land use, such as livestock browsing/grazing may interact with the effects of slope exposure, effectively reducing differences in species composition within slopes but enhancing the differences in beta diversity between contrasting slopes in the Br