Exploring spatially varying and scale-dependent relationships between soil contamination and landscape patterns using geographically weighted regression

Landscape pattern is an important determinant of soil contamination at multiple scales, and a proper understanding of their relationship is essential for alleviating soil contamination and making decisions for land planners. Both soil contamination and landscape patterns are heterogeneous across spaces and scale-dependent, but most studies were carried out on a single scale and used the conventional multivariate analyses (e.g. correlation analysis, ordinary least squared regression-OLS) that ignored the issue of spatial autocorrelation. To move forward, this paper examined spatially varying relationships between agricultural soil trace metal contamination and landscape patterns at three block scales (i.e. 5 km × 5  km, 10 km × 10 km, 15 km × 15 km) in the Pearl River Delta (PRD), south China, using geographically weighted regression (GWR). This paper found that GWR performed better than OLS in terms of increasing R square of the model, lowering Akaike Information Criterion values and reducing spatial autocorrelation. GWR results revealed great spatial variations in the relationships across scales, with an increasing explanatory power of the model from small to large block scales. Despite a few negative correlations, more positive correlations were found between soil contamination and different aspects of landscape patterns of water, urban land and the whole landscape (i.e. the proportion, mean patch area, the degree of landscape fragmentation, landscape-level structural complexity, aggregation/connectivity, road density and river density). Similarly, more negative correlations were found between soil contamination and landscape patterns of forest and the distance to the river and industry land (p < 0.05). Furthermore, most significant correlations between soil contamination and landscape variables occurred in the western PRD across scales, which could be explained by the prevailing wind, the distribution of pollutant sources and the pathway of trace metal inputs.     

胡焕庸线两侧人口的空间分异性及其变化

胡焕庸线作为人地关系的重要地理大发现之一,揭示了中国人口分布东密西疏的重要特征,是人文与经济地理学对社会的重要贡献之一。本文采用地理探测器等定量方法,以人口普查数据为基础,对胡焕庸线两侧人口分布的分异性特征进行了深入讨论,并尝试解释中国人口分布特征变化的原因及其机制。结果表明：① 胡焕庸线作为中国最重要的人口分界线仍基本保持稳定,但从空间统计学分异特征来看该分界线仍可进一步优化调整;② 胡焕庸线两侧内部人口集聚模式发生着明显变化,东南半壁人口分布由改革开放之前和初期的相对均衡状态,转变为以长三角、珠三角等少数区域为中心的集聚模式;而西北半壁人口分布的集聚程度则趋于下降;③ 从人口空间分布的影响因素看,尽管总体上,经济发展类因素对于人口空间分布影响不断增强,但三大阶梯等自然地理本底条件依然对中国人口分布有着重要影响。     

土壤多样性的概念及其争议

介绍了Ibanez等提出并发展的土壤多样性概念及其计量方法论，简要阐述了利用土壤多样性方法分析全球尺度的土壤空间和分布规律的尝试，进而概括了知名土壤学家和生态学家对土壤多样性及其计量方法论所提出的建设性意见和不同观点，最后讨论了土壤多样性在土壤学及其他相关学科的应用前景。     

多维度视角下新疆农村经济可持续发展

科技进步与水土资源是促进经济可持续发展的有力杠杆及资源保证,劳动力是农村经济发展的重要主体。运用生态足迹理论计算了1990-2015年的新疆农村生态人口承载力,该指标代表了农村经济可持续发展水平,并建立与农业全要素生产率、科技投入占总投入比率、水资源灌溉利用率、耕地复耕指数、新疆劳动力转移、劳动力转移性收入的VAR模型。研究结果表明：新疆农村人均资源占有量不断地增大,可承载生态人口数量逐年下降;科技投入目前对于新疆农村经济可持续发展的影响并不明显,短期看来,农业全要素生产率对于其发展有抑制作用,但长期看来有巨大的促进作用;在短期,水资源灌溉利用率有抑制作用,但在长期,有拉动作用;耕地复耕指数长期有抑制作用;短期来说,劳动力转移和劳动力转移性收入对于其发展有促进作用,长期有抑制作用。     

基于组网观测的那曲土壤湿度不同时间尺度的变化特征

利用第三次青藏高原大气科学试验的土壤湿度观测数据,分析了那曲多空间尺度组网观测的28个站2、5、10、20和30 cm 5个不同深度土壤湿度的季节变化和日变化特征,并对比讨论了土壤湿度站点间的差异。分析表明,各层土壤湿度均存在显著的季节变化。冬春季节,20 cm以上土壤湿度随深度变浅而减小。夏秋季节土壤湿度随深度增加而减小,并分别在7月上、中旬和9月出现两个峰值。10月以后进入土壤湿度衰减期。土壤温度和土壤湿度存在协同变化关系。在一定的温度范围内,土壤发生冻结-融化过程,引起土壤湿度变化。在太阳辐射加热下,土壤表层水分蒸发,进而影响土壤温度。不同观测站间土壤湿度差异较大,夏秋季离散性大于冬春季。不同季节土壤湿度的日变化存在差异。春季10 cm以上土壤湿度日变化明显,08-10时（北京时）达到最低,19-20时达到最高。夏季土壤湿度日变化较为平缓。秋季2 cm深度土壤湿度日变化明显。线性拟合结果表明,1、4、10月土壤湿度和土壤温度为正相关关系。但是在夏季,土壤湿度与土壤温度为负相关。站点间土壤湿度变化的离散性表明,多测站才能全面体现青藏高原某区域的陆面状态。文中结果为青藏高原地区土壤湿度卫星参数验证和数值模式参数化提供了多角度的观测依据。      

试从土壤物质迁移与积累论亚热带北界的划分--以河南省伏牛山为例

对伏牛山中段南坡不同海拔高度7 个土壤剖面进行了野外调查和室内土壤理化分析,选择土壤氧化物迁移系数、硅铝铁率、活性铁与全铁之比、活性锰与全锰之比、Ba值、β值等指标,运用聚类分析等方法,从土壤物质迁移和积累角度深入探讨了河南省伏牛山南坡亚热带北界的划分。研究结果表明,该界线大约在海拔950 m左右。     

半荒漠风沙区土地沙漠化生物整治技术的研究

试验证明,土地沙漠化生物整治技术能在半荒漠风沙区取得显著的作用和效果。在柠条、毛条、花棒、杨柴、沙木蓼等灌木树种的适生立地上营造防风固沙林,林后3~4年,灌木就可郁闭成林,流动沙丘完全被控制变为固定沙丘;林下植被结构得以改善,优良品种增多,如能合理开发其饲料等用途,还具有十分可观的经济效益。     

土壤保水剂的吸水保水性能研究动态

土壤保水剂是一种新型化学农业抗旱材料, 在干旱地区农林业生产中具有广泛的应用前景。从保水剂的吸水和保水性能方面介绍了国内外学者的研究成果。     

禹城沙地水分动态规律及其影响因子

通过对禹城沙河地沙土土壤水分动态监测,分析其土壤水分剖面变化,得出本沙地土壤水分动态变化规律:依据降水、植被、地下水和土壤将土壤水分垂直剖面划分为表层0-10m或0-20cm干沙层,20-40cm土壤水分变化剧烈层,40-80cm土壤水分活跃层,80-120cm以下土壤水分深部稳定层;沙地土壤水分随季节变化划分为,春季水分变化较微──弱失水阶段,夏季水分剧烈变化──降水补给阶段,秋季水分变化缓慢——失水阶段,冬季水分变化较微弱──调整阶段。     

An analysis of horizontal dispersion due to the drift current with an Ekman layer

An analytical method for describing horizontal matter dispersion in shear currents is presented using a tensor expression from the point of view that matter dispersion due to the shear effect should be one of the principal mixing dilution processes. Although the behavior of horizontal dispersion is considerably more complicated than common longitudinal dispersion, the present study elucidates the vertical structure of dispersion and the dispersing process from the initial to the stationary stage, besides the usual depth-averaged dispersion coefficient at the stationary stage. As one of the typical applications of horizontal dispersion, dispersion due to the pure drift current with an Ekman layer is examined theoretically using the present method. This examination reveals that the displacement of the centroid and the major axis of dispersion are twisted in the vertical direction more than the direction of the current vector forming the Ekman spiral; that the variance increases in proportion to the third power of the elapsed time; and that the dispersion coefficient at the stationary stage remains constant, independent of the depth normalized by an Ekman layer thickness. Such dependence of the dispersion coefficient in the steady current is shown to be different from that in the oscillatory current, which is inversely proportional to the depth normalized by a Stokes layer thickness. This is considered to be induced by the difference of the vertical profiles of the first order moment in both currents, that is, the shear region of the first order moment is restricted around the floor by the alternation of the current shear in the oscillatory current while it is diffused in the whole depth in the steady current.