城市土地利用变化中邻域相互作用的特征——日本三大都市圈的比较研究

Local spatial interaction between neighborhood land-use categories (i.e. neighborhood interaction) is an important factor which affects urban land-use change patterns. Therefore,it is a key component in cellular automata (CA)-based urban geosimulation models towards the simulation and forecast of urban land-use changes. Purpose of this paper is to interpret the similarities and differences of the characteristics of neighborhood interaction in urban land-use changes of different metropolitan areas in Japan for providing empirical materials to understand the mechanism of urban land-use changes and construct urban geosimulation models. Characteristics of neighborhood interaction in urban land-use changes of three metropolitan areas in Japan,i.e. Tokyo,Osaka,and Nagoya,were compared using such aids as the neighborhood interaction model and similarity measure function. As a result,urban land-use in the three metropolitan areas was found to have had similar structure and patterns during the study period. Characteristics of neighborhood interaction in urban land-use changes are quite different from land-use categories,meaning that the mechanism of urban land-use changes comparatively differs among land-use categories. Characteristics of neighborhood interaction reveal the effect of spatial autocorrelation in the spatial process of urban land-use changes in the three metropolitan areas,which correspond with the characteristics of agglomeration of urban land-use allocation in Japan. Neighborhood interaction amidst urban land-use changes between the three metropolitan areas generally showed similar characteristics. The regressed neighborhood interaction coefficients in the models may represent the general characteristics of neighborhood effect on urban land-use changes in the cities of Japan. The results provide very significant materials for exploring the mechanism of urban land-use changes and the construction of universal urban geosimulation models which may be applied to any city in Japan.     

Geographical distribution of general aerobic heterotrophic bacteria in surficial sediments from the Chukchi Sea and Canadian Basin

This paper determined the abundance of General Aerobic heterotrophic Bacteria(GAB) in surficial sediments from the Chukchi Sea and the Canadian basin by using MPN and discussed their geographical distribution.The result shows that the determination percentages of the GAB were high,even till 100 percentage.The abundance range and averages of GAB for 4℃and 25℃ were from 4.00×102 to 2.40×106,1.71×106 ind.·g-1(wet sample) and from 2.40×105 to 2.40×107,1.10×107 ind.·g-1(wet sample) respectively.Not only the abundance range but also the averages of GAB in 25℃ were higher than that in 4℃.The abundance of GAB in sediments show a tendency that it is roughly greater in the lower latitudinal area than in the higher latitudinal area.The abundance of GAB increased from east to west as for the longitudinal distribution.With the water depth increasing,the abundance of GAB at 4℃ decreased,but GBA at 25℃ is not changed obviously with water depth.It seems that warmer circumstantial temperature is more suitable for some GAB.     

MRICES:一个新的减排方案评价模型及其应用(英文)

Many global emission reduction strategies have been proposed, but few have been assessed quantitatively from the view of equality, efficiency and effectiveness. Integrated assessment models (IAM) is one of the effective ways to make climate policy modeling. So in this paper we developed the MRICES (Multi-regional integrated model of climate and economy with GDP spillovers) model, which is an IAM but extends to include GDP spillover mechanism, to make assessment on several strategies for global emission reduction, including the egalitarianism strategy, the UNDP strategy and the Copenhagen Accord. Using 1990 as a baseline for historical emission levels, the egalitarian strategy argues that developed countries should implement urgent emission reductions, whereas developing countries are allowed relatively higher future emission quotas. The UNDP strategy addresses the issue of substantial changes in global temperature but acknowledges that developing countries are not able to afford more costs for mitigation measures, which is inequitable from the perspective of a country’s right to develop. We also simulated the Copenhagen Accord to determine the consequences by the year 2100 if each country continues their current emission mitigation actions, and results indicated that the increase in global temperature will be 2.8 ℃by 2100; consequently, much stronger emission reduction efforts must be implemented after 2020. Based on analysis on mitigation strategies, it is recognized that the common but differentiated responsibility principle must be insisted when making global mitigation strategy. To comply with this principle, the emission reduction baseline of developed and developing countries should be discriminated, so 1990 and 2005 can be taken as the base year for developed and developing countries respectively.     

THE USE OF A CROSS-CORRELATION TECHNIQUE TO ENHANCE JANSSON''S DECONVOLUTION PROCEDURE

The use of a cross-correlation prefiltering technique to enhance the ability of Jansson's iterativedeconvolution procedure to deconvolve extremely noisy chromatographic data is investigated.Test casesinclude peaks whose resolutions are as low as 0.35 and whose signal-to-noise ratios are as low as 1:1.Evaluation criteria include RMS error,relative peak error and peak area repeatability.For comparisonpurposes,relative peak area errors and peak area variances are also evaluated for noisy but well resolvedpeaks that have only been prefiltered with the cross-correlation filter.Jansson's method in conjunctionwith cross-correlation prefiltering is shown not only to resolve overlapped peaks but in some cases toimprove their signal-to-noise ratios.The study also establishes some limits to the capabilities of Jansson'smethod will regard to adverse data conditions.     

Sedimentology,clay mineralogy and grain-size as indicators of 65 ka of climate change from El’gygytgyn Crater Lake,Northeastern Siberia

El’gygytgyn Crater Lake, NE Siberia was investigated for sedimentological proxies for regional climate change with a focus on the past 65 ka. Sedimentological parameters assessed relative to magnetic susceptibility include stratigraphy, grain size, clay mineralogy and crystallinity. Earlier work suggests that intervals of high susceptibility in these sediments are coincident with warmer (interglacial-like) conditions and well-mixed oxygenated bottom waters. In contrast, low susceptibility intervals correlate with cold (glacial-like) conditions when perennial ice-cover resulted in anoxia and the dissolution of magnetic carrier minerals. The core stratigraphy contains both well-laminated to non-laminated sequences. Reduced oxygen and lack of water column mixing preserved laminated sequences in the core. A bioturbation index based upon these laminated and non- laminated sequences co-varies with total organic carbon (TOC) and magnetic susceptibility. Clay mineral assemblages include illite, highly inter-stratified illite/smectite, and chlorite. Under warm or hydrolyzing conditions on the landscape around the lake, chlorite weathers easily and illite/smectite abundance increase, which produces an inverse relationship in the relative abundance of these clays. Trends in relative abundance show distinct down-core changes that correlate with shifts in susceptibility. The mean grain-size (6.92 μm) is in the silt-size fraction, with few grains larger than 65 μm. Terrigenous input to the lake comes from over 50 streams that are filtered through storm berms, which limits clastic deposition into the lake system. The sedimentation rate and terrigenous input grain-size is reduced during glacial intervals. Measurements of particle-size distribution indicate that the magnetic susceptibility fluctuations are not related to grain size. Lake El’gygytgyn’s magnetic susceptibility and clay mineralogy preserves regional shifts in climate including many globally recognized␣events like the Younger Dryas and Bolling/Allerod. The sedimentary deposits reflect the climatic transitions starting with MIS4 through the Holocene transition. This work represents the first extensive sedimentological study of limnic sediment proxies of this age from Chukotka (Fig. 1). This is the tenth in a series of eleven papers published in this special issue dedicated to initial studies of El'gygytgyn Crater Lake and its catchment in NE Russia. Julie Brigham-Grette, Martin Melles, Pavel Minyuk were guest editors of this special issue.     

Effects of intercropping on rhizosphere soil microorganisms and root exudates of Lanzhou lily(Lilium davidii var. unicolor)

Both yield and quality of Lanzhou lily(Lilium davidii var. unicolor) are seriously affected by continuous cropping. We attempted to understand the effects of intercropping on the obstacles associated with continuous cropping of Lanzhou lily(Lilium davidii var. unicolor). The changes of rhizosphere microbial biomass and diversity in interplanting and monoculturing systems were studied by using the Illumina Hi Seq sequencing technique. The contents and composition of lily root exudates were measured by gas chromatography–mass spectrometer(GC–MS). The intercropping results of Lanzhou lily showed:(1) There was no difference in the composition of the rhizosphere soil microbes at the phylum level, but the relative abundance of the microbes decreased; and the relative abundance of harmful fungi such as Fusarium sp. increased. The relative abundance of Pleosporales sp. and other beneficial bacteria were reduced. After OTU(operational taxonomic unit)clustering, there were some beneficial bacteria, such as Chaetomium sp., in the lily rhizosphere soil in the interplanting system that had not existed in the single-cropping system. We did not find harmful bacteria that had existed in the single-cropping systm in the rhizosphere soil of interplanting system. The above results indicated that the changes of relative abundance of soil fungi and bacteria in lily rhizosphere soil was not conducive to improving the ecological structure of rhizosphere soil microbes. At the same time, the microbial composition change is very complex—beneficial and yet inadequate at the same time.(2) Root exudates provide a matrix for the growth of microorganisms. Combined with the detection of root exudates, the decrease in the composition of the root exudates of the lily was probably the reason for the decrease of the relative abundance of microbes after intercropping. At the same time, the decrease of the relative content of phenolic compounds, which inhibit the growth of microorganisms, did not increase the relative content of rhizosphere soil microorganisms. Changes in amino acids and total sugars may be responsible for the growth of Fusarium sp.. The results showed that the intercropping pattern did not noticeably alleviate the obstacle to continuous cropping of Lanzhou lily, and the change of microbial biomass and diversity was even unfavorable. However, the emergence of some beneficial bacteria, the disappearance of harmful fungi, and other changes with intercropping are in favor of alleviation of obstacles to continuous cropping of Lanzhou lily.     

A GLOBAL PERSPECTIVE ON MULTIVARIATE CALIBRATION METHODS

This paper consists of two distinct but related parts.In the first part a geometric theory of generalizedinverses is presented and a methodology based on this theory is developed and applied to solve the K-matrix and P-matrix forms of Beer's law.It is shown that most currently accepted and practiced methodsfor solving these forms of Beer's law are just special cases of this geometric theory of generalized inverses.In addition,this geometric theory is used to explain why the current methods work and why they fail.In the second part a general methodology that includes as special cases least squares,principalcomponent regression,partial least squares 1 and 2,continuum regression plus a variety of otherdescribed and undescribed methodologies is presented and then applied to solve the P-matrix formulationof Beer's law.This general methodology,like the first,is also geometric in nature and relies on anunderstanding of projections.The main emphasis of this paper is one of perspective,which,if understood,provides the properfoundation for answering the general but extremely hard and possibly unanswerable question‘what isthe best method?’.     

Spatial distribution and the scale effect of influencing factors of specialized and sophisticated enterprises that produce new and unique products in the Yangtze River Delta region: Based on the buffer and MGWR analyses北大核心CSCD

High-quality cultivation of specialized and sophisticated enterprises that produce new and unique products is an important starting point for consolidating the security foundation of China's industrial chain and supply chain. Using buffer zone analysis and the multi-scale geographically weighted regression (MGWR) model, this study explored the spatial distribution of specialized and sophisticated enterprises that produce new and unique products in the Yangtze River Delta region and influencing factors in 2021. The study found that: 1) Spatially, Shanghai is the main area where specialized and sophisticated enterprises that produce new and unique products are concentrated, followed by provincial capitals and cities on the coast and along rivers; The overall composition of the industry is unbalanced, and the real economic industries such as machinery and equipment manufacturing and high-tech manufacturing account for a relatively high proportion, but there are differences in different regions. 2) In terms of spatial agglomeration, differences between circles and the scale effect are obvious. Within each province, the spatial distribution of specialized and sophisticated enterprises that produce new and unique products in different cities is uneven. Region-wide, the overall spatial distribution pattern of "one pole and multiple cores" is evident. Shanghai is the main agglomeration area for these enterprises, and the provincial capital cities and cities that are the regional economic centers are the secondary agglomeration areas of these enterprises. 3) The four dimensions of influencing factors—physical geography, government, market, and society—have a scale effect on the spatial distribution of specialized and sophisticated enterprises that produce new and unique products. The degree of land development acts at a small scale, which is a local variable, and shows a large difference in the impact on the spatial distribution of these enterprises across the region. Factors such as elevation, government-business relationship, degree of marketization, number and scale of enterprises, degree of openness, logistics development level, and innovation environment are global variables, and except that the degree of marketization and the number of enterprises have a significant negative impact on the spatial distribution of these enterprises, the impact of all other factors is significantly positive. The research results can provide support for the optimization of the layout of new special expertise enterprise space in the Yangtze River Delta region, in order to provide reference for the formulation of new special expertise policies and industrial planning. © 2023, Editorial office of PROGRESS IN GEOGRAPHY. All rights reserved.     

分布式水文模型全局敏感性高效分析方法研究(英文)

Sensitivity analysis of hydrological model is the key for model uncertainty quantification. However, how to effectively validate model and identify the dominant parameters for distributed hydrological models is a bottle-neck to achieve parameters optimization. For this reason, a new approach was proposed in this paper, in which the support vector machine was used to construct the response surface at first. Then it integrates the SVM-based response surface with the Sobol’ method, i.e. the RSMSobol’ method, to quantify the parameter sensitivities. In this work, the distributed time-variant gain model (DTVGM) was applied to the Huaihe River Basin, which was used as a case to verify its validity and feasibility. We selected three objective functions (i.e. water balance coefficient WB, Nash-Sutcliffe efficiency coefficient NS, and correlation coefficient RC) to assess the model performance as the output responses for sensitivity analysis. The results show that the parameters g1 and g2 are most important for all the objective functions, and they are almost the same to that of the classical approach. Furthermore, the RSMSobol method can not only achieve the quantification of the sensitivity, and also reduce the computational cost, with good accuracy compared to the classical approach. And this approach will be effective and reliable in the global sensitivity analysis for a complex modelling system.     

LIKELIHOOD TECHNIQUES FOR INTERLABORATORY CALIBRATION IN THE NATIONAL STREAM SURVEY

Techniques for testing for and estimating relative bias between two laboratories are developed andapplied to a survey of the chemistry of streams in the United States.The design of the quality assuranceprogram allows estimation of linear corrections for bias as well as testing of the hypothesis of linearity,Designs of this type are useful,but improvements are suggested.     

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.     

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。     

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。     

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。     

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.