震区植被恢复初期土壤理化性质与土壤呼吸间的关系

为了解地震灾区不同恢复方式下土壤理化性质和土壤呼吸间的关系,选取2种典型气候区(干旱河谷气候区与亚热带季风气候区)为研究区,设置人工恢复、未受损、自然恢复3种恢复方式的固定样地,定期测定土壤呼吸与土壤理化性质(有机碳、全氮、全磷、速效氮、有效磷、容重、孔隙度、电导率和pH值),并分析各因子间的相关关系。结果表明:气候类型显著影响土壤全氮、容重、孔隙度、电导率以及土壤呼吸,表现为干旱河谷气候区显著优于亚热带季风气候区;恢复方式显著影响土壤呼吸速率、有机碳、全氮、全磷、速效氮、有效磷含量、C:P、N:P、容重、孔隙度和电导率,基本表现为未受损样地优于人工恢复样地优于自然恢复样地;二者交互作用显著影响土壤呼吸、土壤物理性质和除全磷、有效磷外主要土壤养分的流失。两种气候区土壤呼吸的影响因子不同,干旱河谷气候区主要为土壤有机质、全氮、全磷、速效氮、pH值、容重和孔隙度,亚热带季风气候区主要为土壤有机质、全氮、速效氮、容重和孔隙度。本研究为评价和优化西南地区灾后恢复治理措施提供一定科学依据,对其生态安全维护和生态屏障建设提供帮助。     

黑河流域土地利用变化对土壤有机碳和全氮储量的影响——元分析（英文）

Land use and cover change(LUCC) is an important indicator of the human-earth system under climate/environmental change,which also serves as a key impact factor of carbon balance,and a major source/sink of soil carbon cycles.The Heihe River Basin(HRB) is known as a typical ecologically fragile area in the arid/semi-arid regions of northwestern China,which makes it more sensitive to the LUCC.However,its sensitivity varies in a broad range of controlling factors,such as soil layers,LUCCs and calculation methods(e.g.the fixed depth method,FD,and the equivalent mass method,ESM).In this study,we performed a meta-analysis to assess the response of soil organic carbon(SOC) and total nitrogen(TN) storage to the LUCC as well as method bias based on 383 sets of SOC data and 148 sets of TN data from the HRB.We first evaluated the calculation methods and found that based on the FD method,the LUCC caused SOC and TN storage to decrease by 17.39% and 14.27%,respectively;while the losses estimated using the ESM method were 19.31% and 18.52%,respectively.The deviations between two methods were mainly due to the fact that the FD method ignores the heterogeneity of soil bulk density(BD),which may underestimate the results subsequently.We then analyzed the response of SOC and TN storage to various types of the LUCC.In particular,when woodland and grassland were converted into cultivated land or other land types,SOC and TN suffered from heavy losses,while other LUCCs had minor influences.Finally,we showed that increasing the depth of the soil layers would reduce the losses of SOC and TN storage.In summary,we identified a series of controlling factors(e.g.soil layer,the LUCC and calculation method) to evaluate the impact of the LUCC on SOC and TN storage in the HRB,which should be considered in future research.     

基于地理探测器的喀斯特不同地貌形态类型区土壤侵蚀定量归因（英文）

The formation mechanism and influencing factors identification of soil erosion are the core and frontier issues of current research. However, studies on the multi-factor synthesis are still relatively lacked. In this study, the simulation of soil erosion and its quantitative attribution analysis have been conducted in different geomorphological types in a typical karst basin based on the RUSLE model and the geodetector method. The influencing factors, such as land use type, slope, rainfall, elevation, lithology and vegetation cover, have been taken into consideration. Results show that the strength of association between the six influencing factors and soil erosion was notably different in diverse geomorphological types. Land use type and slope were the dominant factors of soil erosion in the Sancha River Basin, especially for land use type whose power of determinant(q value) for soil erosion was much higher than other factors. The q value of slope declined with the increase of relief in mountainous areas, namely it was ranked as follows: middle elevation hill> small relief mountain> middle relief mountain. Multi-factors interactions were proven to significantly strengthen soil erosion, particularly for the combination of land use type with slope, which can explain 70% of soil erosion distribution. It can be found that soil erosion in the same land use type with different slopes(such as dry land with slopes of 5° and above 25°) or in the diverse land use types with the same slope(such as dry land and forest with a slope of 5°), varied much. These indicate that prohibiting steep slope cultivation and Grain for Green Project are reasonable measures to control soil erosion in karst areas. Based on statistics of soil erosion difference between diverse stratifications of each influencing factor, results of risk detector suggest that the amount of stratification combinations with significant difference accounted for 55% at least in small relief mountain and middle relief mountainous areas. Therefore, the spatial heterogeneity of soil erosion and its influencing factors in different geomorphological types should be investigated to control karst soil loss more effectively.     

Exploring the database of a soil environmental survey using a geo-self-organizing map: A pilot study

A model integrating geo-information and self-organizing map (SOM) for exploring the database of soil environmental surveys was established. The dataset of 5 heavy metals (As, Cd, Cr, Hg, and Pb) was built by the regular grid sampling in Hechi, Guangxi Zhuang Autonomous Region in southern China. Auxiliary datasets were collected throughout the study area to help interpret the potential causes of pollution. The main findings are as follows: (1) Soil samples of 5 elements exhibited strong variation and high skewness. High pollution risk existed in the case study area, especially Hg and Cd. (2) As and Pb had a similar topo-logical distribution pattern, meaning they behaved similarly in the soil environment. Cr had behaviours in soil different from those of the other 4 elements. (3) From the U-matrix of SOM networks, 3 levels of SEQ were identified, and 11 high risk areas of soil heavy metal-contaminated were found throughout the study area, which were basically near rivers, factories, and ore zones. (4) The variations of contamination index (CI) followed the trend of construction land (1.353) > forestland (1.267) > cropland (1.175) > grassland (1.056), which suggest that decision makers should focus more on the problem of soil pollution surrounding industrial and mining enterprises and farmland.

     

中国耕地土壤相对湿度时空分异

以全国653个农业气象站1993-2013年耕地的土壤相对湿度数据为基础,运用地统计方法,分析中国耕地土壤相对湿度时空分异特征与规律。结果表明:自1993年以来全国耕地的土壤相对湿度呈现波动上升趋势。全国耕地的土壤相对湿度普遍大于60%,分布区域自4月中旬开始随夏季风推移不断向北向西扩大,自10月下旬开始向东、南方向缩小。耕地土壤相对湿度值随土壤深度的增加而增加。年际尺度上,耕地的土壤相对湿度在夏秋季上升速度最快,变化幅度随土层深度增加而变小。土壤相对湿度与降水量存在较强的正相关关系,与潜在蒸发量、气温普遍存在较强的负相关关系。土壤相对湿度与各气象要素的相关性随深度加深而减弱。春、夏、秋季气象因素对旱地土壤相对湿度影响较大,冬季气象因素对水田影响更大。     

京津冀城市群虚拟水贸易的近远程分析

虚拟水贸易能重新分配区域间的水资源。在京津冀协同发展的背景下,厘清京津冀城市群与外部的虚拟水贸易及城市群内部的虚拟水流动,有助于深入理解该地区的水资源供需现状及问题,为制定虚拟水贸易相关策略、实现区域水资源优化配置、保障区域水资源安全提供决策支持。本文基于2010年全国区域间投入产出表,测算了京津冀城市群各省（市）水足迹及与全国各省域单元的虚拟水贸易量。从近远程视角定量评估城市群地区对内、外部水资源的依赖程度,并分析虚拟水贸易的距离特征。研究发现：① 京津冀城市群各省（市）各部门用水系数显现出差异性,农业部门用水强度最高,直接用水与完全用水系数分别超过300 m ³/万元和400 m ³/万元;② 京津冀城市群内部各省（市）人均消费水足迹差异大,北京、天津、河北的人均水足迹分别为405 m ³、565 m ³、191 m ³;③ 京津冀城市群的消费水足迹遍布全国各省域单元,近程水足迹与远程水足迹分别为91.4亿m ³、198.5亿m ³,其中,近程水足迹主要来源于本省（市）,西部地区对远程水足迹的贡献最大;④ 京津冀城市群的虚拟水输入总体偏向来源于距离较近的省域单元,北京、天津、河北水足迹距离来源地的平均距离分别为1049 km、1297 km、688 km;⑤ 北京和天津为虚拟水贸易的净流入区,对外部水资源的依赖性强;河北为虚拟水贸易的净流出区,为京津冀城市群及其他地区供给水资源,虚拟水净流出进一步加剧了河北的水资源短缺。未来,受人口增长、经济发展等因素影响,京津冀城市群的水资源压力将进一步加剧,提高用水效率、升级产业结构、提倡低水足迹消费模式、实行虚拟水战略是实现京津冀城市群可持续发展的有效途径。     

1980—2015年风蚀影响下中国北方土壤有机质与养分流失时空特征

中国北方干旱/半干旱区是全球主要的沙尘源区之一,风蚀造成的沙尘排放可导致大量的土壤有机质（SOM）与养分流失,并通过传输与沉降过程对其进行空间再分配,对空气质量、气候变化、植被生长及生物地球化学过程等具有重要影响。本文利用WRF/Chem（Weather Research Forecasting with Chemistry）v3.7.1大气化学传输模型,对1980—2015年间中国北方沙尘排放及其引起的SOM、全氮（TN）与全磷（TP）的时空变化过程进行了精细化模拟,探究了中国北方风蚀引起的SOM、TN与TP养分流失的时空变化特征。结果表明：① 1980—2015年来平均每年约有66.59 Tg的沙尘颗粒排放至大气;② 沙尘排放具有较大的时空差异,沙尘排放源区主要集中在新疆东部、内蒙古西部的巴丹吉林沙漠和腾格里沙漠等地区;③ 每年因沙尘排放引起的SOM、TN和TP流失量分别约为0.07 Tg、0.004 Tg和0.005 Tg;④ 1980—2015年间中国北方沙尘排放及其引起的SOM、TN与TP的流失量具有较强的年际波动,未呈现显著的趋势性变化特征。本研究对于认知风蚀在碳循环与养分循环过程中的作用,以及对深入了解中国北方的土地退化机理具有重要意义。     

相对剥夺视角下的乡村旅游地居民不规范行为研究 ——以江西婺源县李坑、思溪为例

居民不规范行为危害性极大,传统相关研究多基于社会交换视角,存在一定局限。相对剥夺理论在研究人们的不规范行为上存在一定优势,但鲜有应用于旅游研究。以社区问题明显的李坑、思溪两村落为例,结合相对剥夺理论对居民不规范行为的成因和形式等进行了定性分析。与传统研究不同,发现居民不规范行为与其对旅游负面影响的纵向感知并无直接关系,而主要与横向剥夺感相关。研究表明,相对剥夺理论或可作为居民旅游态度和行为研究的新视角,并在预防和管控旅游地社区问题方面具有重要现实意义。     

Examining the Relationship Between Spatial Configurations of Urban Impervious Surfaces and Land Surface Temperature

The urban heat island(UHI) effect has significant effects on the quality of life and public health. Numerous studies have addressed the relationship between UHI and the increase in urban impervious surface area(ISA), but few of them have considered the impact of the spatial configuration of ISA on UHI. Land surface temperature(LST) may be affected not only by urban land cover, but also by neighboring land cover. The aim of this research was to investigate the effects of the abundance and spatial association of ISAs on LST. Taking Harbin City, China as an example, the impact of ISA spatial association on LST measurements was examined. The abundance of ISAs and the LST measurements were derived from Landsat Thematic Mapper(TM) imagery of 2000 and 2010, and the spatial association patterns of ISAs were calculated using the local Moran’s I index. The impacts of ISA abundance and spatial association on LST were examined using correlation analysis. The results suggested that LST has significant positive associations with both ISA abundance and the Moran’s I index of ISAs, indicating that both the abundance and spatial clustering of ISAs contribute to elevated values of LST. It was also found that LST is positively associated with clustering of high-ISA-percentage areas(i.e.,>50%) and negatively associated with clustering of low-ISA-percentage areas(i.e.,<25%). The results suggest that, in addition to the abundance of ISAs,their spatial association has a significant effect on UHIs.     

Detecting arbitrarily shaped clusters in origin-destination flows using ant colony optimization

An origin-destination (OD) flow can be defined as the movement of objects between two locations. These movements must be determined for a range of purposes, and strong interactions can be visually represented via clustering of OD flows. Identification of such clusters may be useful in urban planning, traffic planning and logistics management research. However, few methods can identify arbitrarily shaped flow clusters. Here, we present a spatial scan statistical approach based on ant colony optimization (ACO) for detecting arbitrarily shaped clusters of OD flows (AntScan_flow). In this study, an OD flow cluster is defined as a regional pair with significant log likelihood ratio (LLR), and the ACO is employed to detect the clusters with maximum LLRs in the search space. Simulation experiments based on AntScan_flow and SaTScan_flow show that AntScan_flow yields better performance based on accuracy but requires a large computational demand. Finally, a case study of the morning commuting flows of Beijing residents was conducted. The AntScan_flow results show that the regions associated with moderate- and long-distance commuting OD flow clusters are highly consistent with subway lines and highways in the city. Additionally, the regions of short-distance commuting OD flow clusters are more likely to exhibit ‘residential-area to work-area’ patterns.