大气污染植被控制模型及应用——以湖南省益阳市为例

以野外监测数据为基础,应用模糊综合评判方法掌握大气污染物的变化规律,然后采用熏气试验测定植被对污染物的净化速率,建立大气污染物的植被控制模型,并以此提出了益阳市大气主要污染物的植被负荷及绿化设计。     

植被演替下植物组成多样性和群落稳定性与土壤团聚体的关系

为揭示植被自然恢复过程中植物组成多样性和群落稳定性与土壤团聚体的关系,防治水土流失,提高土壤质量.通过野外调查采样,确定并分析黄土高原近150年植被演替不同阶段的植被特征与土壤团聚体数据.结果表明:该过程共有种子植物39科99属128种,优势科是菊科、蔷薇科、禾本科和豆科,优势属是蒿属,单种属是该过程植物属的主体,出现频率较高的植物有大披针薹草、胡枝子、白刺花、水栒子、青蒿、虎榛子、辽东栎、茶条枫、油松、绣线菊、狗娃花等.植物地理成分在属级水平上有11个分布区类型8个变型,温带性质明显,热带性质（R值）与温带性质（T值）的比值（R/T）随恢复年限的增加而降低,R值与R/T值显著正相关,热带成分扩散分布受到限制.植物丰富度呈单峰曲线,在恢复年限为40～70年时最高.依照不同恢复年限对群落稳定性进行排序:70>120>135>150>40>10>20>0年.R值与植物种系分化度（SD值）极显著正相关,T值与稳定性极显著正相关.>5mm粒径团聚体与受热带性质物种驱动的植物丰富度有关.>0.25mm粒径团聚体总体上与群落稳定性保持一致,均受...     

新疆北部沙漠边缘植被恢复可能性初探

古尔班通古特沙漠边缘植被破坏严重,沙丘活化明显,是新疆干旱植被恢复的重点地区之一,一般缺乏地表水补充,其沙丘的水分状况便成为植被生存和恢复过程的关键条件,为探究古尔班通古特沙漠边缘植被恢复的可能性,在植物生长期内对流动沙丘和固定沙丘不同部位的水分状况进行了连续监测,结果表明:沙丘大多数层次含水量月变化与月降水量分布相一致;流动沙丘含水量从上部到下部依次升高;流动沙丘中部和下部稳定湿沙层处在距沙丘表面60 cm以下,且厚度超过100 cm,固定沙丘稳定湿沙层只存在于沙丘中部距沙丘表面60～150 cm内,其厚度不超过100 cm,在一般年份,该地区利用本地种进行植被恢复是可行的.     

基于modis数据鲁甸6.5级地震不同烈度区地震前后植被变化研究

为了研究鲁甸6.5级地震不同烈度区地震前后植被的变化,以鲁甸地震完整烈度为研究区,以MODIS产品中的MOD13Q1数据为数据源,通过数据预处理获得2004-2018年不同烈度区年均NDVI时间序列,并用像元二分模型计算得到地震前后的植被覆盖度,从NDVI动态变化、植被覆盖度空间分布特征、植被覆盖度动态变化、植被损毁像...     

Impact of an Extreme Flood Event on Streambank Retreat: Cedar River,Nebraska, USA

The 2010 dam breach and consequent anomalous flood event on the Cedar River in Nebraska, USA provided an opportunity to study the following objectives: (1) evaluate the impact of an extreme flood event on streambank retreat along a 45 km stretch relative to the average annual retreat; (2) quantify the changes in streambank retreat for each km segment downstream of the breach; and (3) examine the influence of riparian vegetation and radius of curvature on meander bank erosion rate. During the hydrologic event, discharge peaked at nearly three times greater than the next highest recorded rate and equated to a return period of 2,000 years. Aerial images and ArcGIS were utilized to calculate the average annual streambank retreat for each year during the preflood (2006–2010), flood (2010), and postflood (2010–2016) periods. The 2010 flood period had a significantly higher average annual streambank retreat of 2,820 m²/km/yr than the preflood and postflood periods, which, respectively, measured 576 and 384 m²/km/yr. From 2006 to 2016, 29% of all streambank erosion was from this one extreme flood event, thus demonstrating the impact that one extreme flood event can have on streambank retreat and the geomorphology of a stream system.     

城市绿地系统生物多样性保护的策略探讨

生物多样性是提高城市绿地系统生态功能的前提和城市多样化景观的基础。通过保护自然遗留地,建立绿色生态网络,开发利用地带性物种,尤其是乡土植物,并有节制地引进外域特色樾的,扩大多样性物种的种群增加绿地规模,促进公园和环城绿带的自然化,营造生物多样性高的复层群落结构,形成具有地域性植被征的城市生物多样性格局提高绿地系统的生物多样性。     

京津冀地区近20年NDVI时空变化特征

健康稳定的自然生态系统是保障城市发展的重要基础.了解京津冀城镇快速发展过程中自然生态系统的变化,有助于该区域城镇绿色协调可持续发展.植被指数NDVI时空变化特征可反映地区自然生态系统状况及其演变规律.基于MOD13Q1和Landsat遥感影像数据,利用一元线性回归趋势分析法分析近20年(2000—2019年)京津冀地区...     

长江淡水潮汐湿地植物特性和植物群落演替研究——以镇江北固山湿地为例

镇江北固山湿地属于长江近河口段淡水潮汐湿地,植物群落基本保持原生演替的前期状况。根据对该湿地的实地观测研究,描述了河滨湿地植物的生长特性;结合湿地的水文特征刻画了湿地高等水生植物在时间、空间和景观上的生态过程;综合河滨湿地植物的生长特性及湿地的水文特征探讨了镇江淡水潮汐湿地的演变趋势。对湿地面临的问题进行了讨论,从而为长江淡水潮汐湿地的生态修复和增加生物多样性及湿地保护提供参考。     

Spatial Distribution of Forest Fires and Controlling Factors in Andhra Pradesh, India Using Spot Satellite Datasets

Fires are one of the major causes of forest disturbance and destruction in several dry deciduous forests of southern India. In this study, we use remote sensing data sets in conjunction with topographic, vegetation, climate and socioeconomic factors for determining the potential causes of forest fires in Andhra Pradesh, India. Spatial patterns in fire characteristics were analyzed using SPOT satellite remote sensing datasets. We then used nineteen different metrics in concurrence with fire count datasets in a robust statistical framework to arrive at a predictive model that best explained the variation in fire counts across diverse geographical and climatic gradients. Results suggested that, of all the states in India, fires in Andhra Pradesh constituted nearly 13.53% of total fires. District wise estimates of fire counts for Andhra Pradesh suggested that, Adilabad, Cuddapah, Kurnool, Prakasham and Mehbubnagar had relatively highest number of fires compared to others. Results from statistical analysis suggested that of the nineteen parameters, population density, demand of metabolic energy (DME), compound topographic index, slope, aspect, average temperature of the warmest quarter (ATWQ) along with literacy rate explained 61.1% of total variation in fire datasets. Among these, DME and literacy rate were found to be negative predictors of forest fires. In overall, this study represents the first statewide effort that evaluated the causative factors of fire at district level using biophysical and socioeconomic datasets. Results from this study identify important biophysical and socioeconomic factors for assessing ‘forest fire danger’ in the study area. Our results also identify potential ‘hotspots’ of fire risk, where fire protection measures can be taken in advance. Further this study also demonstrate the usefulness of best-subset regression approach integrated with GIS, as an effective method to assess ‘where and when’ forest fires will most likely occur.