海南岛不同地形上土壤性质的多样性分析

多样性指数长时间以来在生态学领域被用于分析不同生态体的发生规律,本研究将类似手段用于某些土壤性质 (土壤发生层次、土层厚度和土壤容重) 多样性的分析中,讨论基于海南岛土壤－地形体数字化数据库 (SOTER),通过对不同地形上土壤发生层次、土层厚度和土壤容重等某些土壤性质类别SOTER单元的丰富度指数 (S)、多样性指数 (Shannon指数H') 和均匀度指数 (Pielou E) 的计算,类别多度分布模型的应用,并在地理信息系统环境中实现了海南岛不同地形上某些土壤性质多样性分析的数字化表达。     

城市化对南京地区土壤多样性影响的灰色关联分析

随着城市化的发展,越来越多的土壤资源被侵占。本文借助RS和GIS技术,根据1984年、1995年、2003年3期TM遥感影像 (30m×30m),采用多时相连续对比法对南京地区近20年来城镇扩张情况进行了分析;结合南京地区土壤图,利用生态学领域中的多样性测度方法计算了城市化背景下南京地区的土壤多样性指数 (HP)、土壤均匀度指数 (Jsw) 和土壤丰富度指数 (R₂),进而在镇级尺度上对1984~2003年南京地区土壤多样性时空变化特点进行了研究;利用灰色系统理论中的灰色关联分析方法,对南京地区各级行政区划单位的扩张对土壤多样性的影响进行了初步探讨。分析结果表明,各级行政区划中村庄的扩张对土壤多样性指数的影响最广,约占研究区总面积的60%;镇、县和市的扩张对土壤多样性的影响逐渐减少,各占研究区总面积的26%、7%和7%。     

Pedodiversity: a controversial concept

The concept of pedodiversity and its measurement methodology proposed and developed by Ibá?ez research term is introduced. An attempt to apply pedodiversity to analyze spatial soil variation and distribution patterns on the global scale is briefly demonstrated. Furthermore, constructive comments and criticisms on pedodiversity and its measurement from the noted pedologists and ecologists are outlined. Finally, potential applications of pedodiversity in soil science and other relevant disciplines are discussed.     

Pedodiversity: a controversial concept

1 Conceptual introductionSpatial soil variation is a fundamental notion of pedology, formally expressed in the hierarchical system of soil taxonomy and soil associations[1,2]. Since the 1990s, a Spanish research team led by Ibá?ez has been presenting a possible approach to systematically analyze taxonomic diversity of pedosphere by methods employed in ecological studies, drawing a parallel with the concept of biodiversity in ecology. According to Ibá?ez et al., it would be quite reasonable …     

Scaled chrysophytes and pH inference models: the effects of converting scale counts to cell counts and other species data transformations

Predictive pH models developed using scaled chrysophytes (Synurophyceae, Chrysophyceae) have thus far been based on the relative abundance of scales and not whole cells. This paper examines the effects of transforming scale to cell numbers on the predictive abilities of pH inference models, and the effects of logarithmic and square-root transformations of the species data on the predictive abilities of pH inference models.Very similar pH inference models were developed based on either the relative abundance of scales or cells. Thus, in this data-set, there appears to be no statistical advantage in transforming raw scale counts to cell counts prior to calculating the relative abundances. However, if one wishes to compare paleochrysophyte populations to actual long-term limnological chrysophyte collections, a scale-to-cell transformation would be desirable. Logarithmic and square-root transformations of the species data improve the pH inference models. These transformations increase the effective number of occurrences of chrysophyte taxa when compared to the untransformed scale and cell pH models. The logarithmic and square-root transformations improve the pH inference models because the dominant taxa, which are often pH generalists, are down-weighted in comparison to the more pH specialist, sub-dominant taxa. We suggest researchers use either a logarithmic or square-root transformation on chrysophyte scale data to improve quantitative reconstructions of lakewater pH and possibly other variables.     

SOTER数据库支持下的土壤质量综合评价：—以海南岛为例

在海南岛SOTER数据库基础上，选取表征土壤质量的若干指标项目组成评价体系，在GIS环境中对图斑的土壤质量进行了评价，并交评价等级指标与空间数据库相连，输出土壤质量评价结果。     

农业信息系统支持下的玉米遥感估产模型研究

在县级农业信息系统的支持下，分析了玉米遥感估产机理，提出了遥感获取玉米估产因子的原理 与方法，确定了近是玉米生长参数及评价玉米生态环境的遥感指数。在此基础上，分区，分阶段建立了玉米遥感综合估产模型。     

Evaluation of NDVI to assess avian abundance and richness along the upper San Pedro River

Remote-sensing models have become increasingly popular for identifying, characterizing, monitoring, and predicting avian habitat but have largely focused on single bird species. The Normalized Difference Vegetation Index (NDVI) has been shown to positively correlate with avian abundance and richness and has been successfully applied to southwestern riparian systems which are uniquely composed of narrow bands of vegetation in an otherwise dry landscape. Desert riparian ecosystems are important breeding and stopover sites for many bird species but have been degraded due to altered hydrology and land management practices. Here we investigated the use of NDVI, coupled with vegetation, to model the avian community structure along the San Pedro River, Arizona. We also investigated how vegetation and physical features measured locally compared to those data that can be gathered through remote-sensing. We found that NDVI has statistically significant relationships with both avian abundance and species richness, although is better applied at the individual species level. However, the amount of variation explained by even our best models was quite low, suggesting that NDVI habitat models may not presently be an accurate tool for extensive modeling of avian communities. We suggest additional studies in other watersheds to increase our understanding of these bird/NDVI relationships.     

地貌格局与流域侵蚀产沙过程关系定量分析——以黄河中游河龙区间为例

以河龙区间42个流域为对象,在流域地貌格局信息提取和侵蚀产沙过程特征指标计算及其相互关系分析的基础上,探讨地貌格局对流域侵蚀产沙过程的影响。结果表明:①在河道系统水平,河流数量、长度等几何特征指标和河流分叉率(Rb₁₂)、分级率(Rd₃₂)、相邻级别间的河流长度比等形状特征指标与流域侵蚀模数显著相关;②在流域系统水平,坡度粗糙度、相对高差、圆度比、高长比是影响流域侵蚀产沙过程的主要指标,其中坡度粗糙度是最根本的解释变量;③各地貌格局因子间相互作用复杂,且对侵蚀过程的影响要强于泥沙输移过程,其通径分析模型对流域侵蚀模数、输沙模数和泥沙输移比变化的解释度分别为65%、33%和20%。这对正确认识影响流域侵蚀产沙过程的格局因素和建立准确的过程模型,具有重要参考价值。     

基于贝叶斯模型平均的全球洪水中长期预报评估研究

筛选全球5839个水文站逐日径流数据,采用超阈值采样法提取洪水发生频率及时间,将各季节最大日流量作为季节洪水量级,以优选的多个大尺度气候因子的最佳前置月份序列作为潜在预报因子,基于贝叶斯模型平均法构建全球尺度洪水中长期预报模型,并利用均方误差技术指数（MSESS）评价模型的预报效果。结果表明：全球范围内,洪水量级和频率模拟预报效果合格（0.6>MSESS>0.2）的水文站点占比分别为48%和28%;利用前置季节气候因子数据,驱动所构建的洪水中长期预报模型,有效预报了2020年鄱阳湖流域洪水量级将异常偏高。     

基于全球模式对中国极端气温指数模拟的评估

对IPCC 所提供的7 个全球海气耦合模式输出信息(年霜冻日数、生物生长季、温度 年较差、暖夜指数、热浪指数), 利用同期(1961-2000 年) 中国地区极端气温观测资料检测并 评价模式的预估效能。结果表明, 这些模式对中国地区的极端气温都具有一定的模拟能力, 但同时各个模式的模拟场都有各自的系统误差; 综合评价, 在7 个模式中GFDL-CM2.0 和 MIROC3.2 (hires) 两个模式对中国区域极端气温的模拟效果均为最佳。模拟所得的最优指数 为霜冻日数, 其后依次为: 暖夜指数、热浪指数、气温年较差和生物生长季; 而就空间分布 结构来看, 除暖夜指数的模拟效果较差之外, 其余指数均能较好地模拟出其空间分布特征。     

Performance of shape indices and classification schemes for characterising perceptual shape complexity of building footprints in GIS

Shape characterisation is important in many fields dealing with spatial data. For this purpose, numerous shape analysis and recognition methods with different degrees of complexity have so far been developed. Among them, relatively simple indices are widely used in spatial applications, but their performance has not been investigated sufficiently, particularly for building footprints (BFs). Therefore, this article focuses on BF shape characterisation with shape indices and classification schemes in a GIS environment. This study consists of four phases. In the first phase, the criteria for BF shape complexity were identified, and accordingly, benchmark data was constructed by human experts in three shape complexity categories. In the second phase, 18 shape indices were selected from the literature and automatically computed in GIS. The performance of these indices was then statistically assessed with histograms, correlation matrix and boxplots, and consequently four indices were found to be appropriate for further investigation. In the third phase, two new indices (Equivalent Rectangular index and Roughness index) were proposed with the objective to measure some BF shape characteristics more efficiently. The proposed indices also were found to be appropriate with the same statistical assessment procedures. In the final phase, BF shape complexity categories were created with the pairs of six appropriate indices and four choropleth mapping classification schemes (equal intervals, natural break, standard deviation, and custom) in GIS. The performance of the index–scheme pairs was assessed against the benchmark data. The findings demonstrated that both new indices and two of the selected indices (Convexity and Rectangularity) delivered higher performance. The custom classification scheme was found more ideal to reveal absolute shape complexity with the index value ranges derived from the boxplots while the other classification schemes were more appropriate to reveal relative shape complexity.     

SOTER的建立及其在世界上的传播

介绍SOTER数据库方法的创立背景、兴起和发展的主要阶段，论述了SOTER方法的主要研究内容的特点。并分析了SOTER方法在世界上的主要传播范围和应用领域，认为SOTER方法在土壤数据库的管理和应用上有独到之处，目前乃至将来在世界上的传播具有良好的前景。     

基于改进样本构造方法的城市人口密度分布研究

针对人口密度理论模型拟合时传统样本数据构造方法构造样本存在的问题,发展了一种多行政等级单元样本构造方法。利用广州市2000年人口统计数据及行政界线数据,构造单一行政等级和多行政等级单元样本;利用人口密度单中心模型和多中心模型分别进行了拟合实验,对拟合参数及拟合优度进行了分析。多行政等级单元样本在人口密度单中心模型拟合时既具有较好的拟合优度,又可以有效减轻偏大估计;在进行人口密度多中心拟合时可以发现近郊地区的副中心,能更细致、真实地描述人口分布多中心结构。     

Remote sensing and transect-based retrieval of spatial soil and terrain (SOTER) information in semi-arid Niger

A methodology for retrieval and mapping of spatial soil and terrain data based on the SOTER approach has been developed for semi-arid Niger. Remote sensing technics and detailed ground transect investigations are used, and the collected data are integrated into a SOTER database and a Geographic Information System. Transect selection, their realization and the related problems with transect-based calculations are discussed. The method permits estimations of soil type coverages, present land use and soil degradation at different scale levels. The significant dynamics of soil redistribution are pointed out and attributed to present and past erosion events.     

黄河源区径流年内分配变化规律分析

河川径流的年内分配特征与特定的径流补给条件关系密切。在气候变化以及人类活动的影响下,河川径流的年内分配特征也发生着相应的变化,直接影响水资源的开发利用以及生态系统的健康。本文根据黄河源区主要测站1952～1997年的月天然径流资料,分析了年内分配不均匀系数、集中度和集中期、变化幅度等特性。结果表明:1)黄河源区径流的年内分配特征20世纪90年代和70年代较为接近,而80年代则与60年代较为接近。2)90年代的径流年内分配特征出现了较大的变化,突出表现在汛期径流量的减少;3)玛曲水文站径流年内分配的不均匀性、集中度以及相对变化幅度都略高于唐乃亥,而绝对变化幅度则较小。     

Estimation of Blast-Induced Air Overpressure in Quarry Mines Using Cubist-Based Genetic Algorithm

In the present work, blast-induced air overpressure is estimated by an innovative intelligence system based on the cubist algorithm (CA) and genetic algorithm (GA) with high accuracy, called GA–CA model. Herein, CA initialization model was developed first and the hyper-parameters of the CA model were selected randomly. Subsequently, the GA procedure was applied to perform a global search for the optimized values of the hyper-factors of the CA model. Root-mean-square error (RMSE) is utilized as a compatibility function to determine the optimal CA model with the lowest RMSE. Gaussian process (GP), conditional inference tree (CIT), principal component analysis (PCA), hybrid neural fuzzy inference system (HYFIS) and k-nearest neighbor (k-NN) models are also developed as the benchmark models in order to compare and analyze the quality of the proposed GA–CA algorithm; 164 blasting works were investigated at a quarry mine of Vietnam for this aim. The results revealed that GA significantly improved the performance of the CA model. Based on the statistical indices used for model assessment, the proposed GA–CA model was confirmed as the most superior model as compared to the other models (i.e., GP, CIT, HYFIS, PCA, k-NN). It can be applied as a robust soft computing tool for estimating blast-induced air overpressure.

     

Is the analysis of plant community structure better than common species-diversity indices for assessing the effects of livestock grazing on a Mediterranean arid ecosystem?

Grazing in arid Mediterranean ecosystems brings about changes in species diversity, but the best way to measure such changes is unclear. In this study we compared various methods in order to identify indicators that might be useful for the management and conservation of grazed arid Mediterranean ecosystems.Changes in community structure and composition were compared along a previously studied grazing gradient in Cabo de Gata-Nijar Natural Park. Plant diversity was measured by calculating diversity (Shannon information index), evenness (Pielou index) and richness (species number). Rarefaction curves were used to measure plant species richness and the results were compared with traditional richness values. Community structure was measured as the percentage of bare ground and the coverage of overall perennial grasses, Stipa tenacissima L., perennial shrubs and annual plants. Our results showed that the proportion of bare ground, the cover of perennial shrubs and the relative abundance of S. tenacissima are good indicators of grazing effects on vegetation. Overall plant community structure was more sensitive to the grazing gradient than were the diversity indices. Finally, the adequacy of standardized methods for comparing species richness (i.e. rarefaction curves) along a grazing gradient are discussed.     

中国不同气候区基于火险气象指数的火险概率模型

目前,森林火险气象指数被广泛用于世界多个国家和地区.本研究目的为,基于火险气象指数,在中国不同气候区建立火险概率模型.本文在中国4个气候区,使用1998-2007年的气象及火灾数据,以位置变量、月份、海拔、加拿大、美国及澳大利亚的气象火险指数、植被指数为自变量,建立了半参数化Logistic回归模型,分析各自变量与着火概率及大火发生概率之间的非线性关系.在不同区域,模型所选自变量组合不同,这与各气候区不同气象及植被状况有关.通过模型模拟数据和实际观测数据散点图、火险概率图、大面积火灾数量预报曲线图,分析了模型的预测能力.研究结果表明,在4个气候区,海拔和NDVI指数对着火概率影响显著.模拟可燃物含水量的气象火险指数由于反映出了植被的季节变化特征,在中国北部成为火险概率模型中的重要因子.模拟土壤有机层可燃物状况的火险气象指数在中国南部(东南、西南)成为火险概率模型的重要因子.在中国4个气候区,应用半参数化Logistic回归模型,可以有效模拟月时间尺度着火概率及大火发生概率,并为分析火险气象指数的预报能力提供了有效途径.本研究为进一步分析气候与火险之间的动态关系提供了理论基础.