Integration of multiple soil parameters to evaluate soil quality: a field example

Development of a method to assess and monitor soil quality is critical to soil resource management and policy formation. To be useful, a method for assessing soil quality must be able to integrate many different kinds of data, allow evaluation of soil quality based on alternative uses or definitions and estimate soil quality for unsampled locations. In the present study we used one such method, based on non-parametric geostatistics. We evaluated soil quality from the integration of six soil variables measured at 220 locations in an agricultural field in southeastern Washington State. We converted the continous data values for each soil variable at each location to a binary variable indicator transform based on thresholds. We then combined indicator transformed data for individual soil variables into a single integrative indicator of soil quality termed a multiple variable indicator transform (MVIT). We observed that soil chemical variables, pools of soil resources, populations of microorgansims, and soil enzymes covaried spatially across the landscape. These ensembles of soil variables were not randomly distributed, but rather were systematically patterned. Soil quality maps calculated by kriging showed that the joint probabilities of meeting specific MVIT selection were influenced by the critical threshold values used to transform each individual soil quality variable and the MVIT selection criteria. If MVIT criteria adequately reflect soil quality then the kriging can produce maps of the probabilty of a soil being of good or poor quality.     

Spatial variability of O layer thickness and humus forms under different pine beech–forest transformation stages in NE Germany

Spatial variability of humus layer (O layer) thicknesses can have important impacts upon soil water dynamics, nutrient storage and availability, as well as plant growth. The purpose of the present study was to elucidate the impact of forest‐transformation practices on the spatial variability of O layer thicknesses. The study focused on the Kahlenberg forest area (NE Germany) with stands of Scots pine (Pinus sylvestris) and European beech (Fagus sylvatica) of different age structures that form a transformation chronosequence from pure Scots pine stands towards pure European beech stands. Topsoil profiles including both, the O layer and the uppermost humic mineral soil horizon were excavated at intervals of 0.4 m along 15–20 m long transects, and spatial variability of O layer thicknesses was quantified by variogram analysis. The correlation lengths of total O layer thickness increased in the sequence consisting of pure pine stand (3.1 m) → older mixed stand (3.7 m) → pure beech stand (4.5 m), with the exception of the younger mixed stand, for which no correlation lengths of total O layer thickness could be determined. The degree of spatial correlation, i.e., the percentage of the total variance which can be described by variograms, was highest for the two monospecies stands, whereas this percentage was distinctly lower for the two mixed stands. A similar minimum for the two mixed stands was observed for the correlation lengths of the Oh horizon. These results suggest that the spatial structures of forest‐transformation stands may be interpreted in terms of a disturbance (in the form of the underplanting of beech trees). After this disturbance, the forest ecosystem requires at least 100 y to again reach relative equilibrium. These findings are in line with the results of other soil‐related investigations at these sites.     

梁子湖湿地土壤养分的空间异质性

2003年10月利用地统计学方法对梁子湖湿地保护区内一块63.9km2区域的土壤养分的空间变异进行了研究。以400m400m的网格采集了101个表层(015cm)土壤样品。分析结果表明,土壤养分有较大的空间变异,土壤有机质、全氮、全磷、速效氮变异系数分别是36.0%、30.6%1、3.7%和29.3%;速效磷的变异系数最高为50.4%。土壤有机质、全氮、全磷、速效氮和速效磷的理论模型均为球状模型。土壤有机质、全氮、全磷、速效氮具有中等空间自相关性,随机变异分别是68.5%、68.3%、75%和71.5%;速效磷的自空间相关性较弱,变异为82.4%。5种养分的空间自相关距离比较接近,变程在2853m～963m之间。通过克里格插值进行土壤养分空间插值制图显示,土壤养分表现出空间分布的相似性。     

玛纳斯河流域绿洲土壤养分空间变异特征与格局

运用经典统计学及地统计学的半变异函数定量研究了玛纳斯河流域绿洲表层土壤(0～10cm)中有机质、全氮、全钾和全磷4种养分含量的空间变异特征。结果表明:4种养分含量数据均服从正态分布,有机质、全氮和全磷的理论模型属于指数模型,全钾的则符合球状模型。全氮和全钾的空间自相关范围为24.18km和35.78km,空间结构上具有中等空间相关性,随机性因素引起的全氮和全钾的变异分别占48.93%和48.23%,是结构性因素(气候、母质、地形、土壤类型等)和随机因素(施肥、耕作措施、种植制度等)共同作用的结果;有机质和全磷的空间自相关范围为79.10km和82.63km,空间结构上具有强相关性,块金值与基台值之比分别为25.06%和20.00%,其空间变异主要由结构性因素引起的。在地理信息系统(GIS)支持下,通过Kriging插值研究了玛纳斯河流域绿洲土壤养分的空间水平分布规律并对土壤养分要素含量等级进行了评价。有机质、全氮和全钾具有南北部高,中间低,由南北向中心递减的趋势;有机质、全氮、全钾含量为较丰富以上等级面积分别占研究区的0%、97.91%、99.69%;全磷含量从中心往南递增,北部分布较均匀;全磷含量为较丰富以上等级的面积占研究区的10.62%。     

沙棘柔性坝影响下砒砂岩沟道土壤水分空间变异分析

根据典型砒砂岩区内蒙古鄂尔多斯准格尔旗境内植有沙棘柔性坝的东一支沟道与无任何植物的对比沟道的表层(0-30cm)土壤含水量数据,运用地统计学方法分析与探讨了沙棘对砒砂岩区小流域沟道土壤水分小尺度空间变异的影响。结果表明:沙棘可明显提高砒砂岩区小流域沟道土壤含水量;沙棘柔性坝沟道与对比沟道土壤含水量具有明显的空间变异特征,沙棘柔性坝沟道土壤含水量在1-6m变程内具有中等程度的空间自相关性,对比沟土壤含水量在1-5m变程内具有较高的空间自相关性;土壤含水量分数维值表明,沙棘柔性坝沟道土壤含水量的空间依赖性比对比沟的要弱些;沙棘对小尺度土壤水分空间分布格局及其异质性有显著影响。应当指出的是,虽然降雨是土壤含水量空间自相关与分布格局影响的主要因素,但干旱条件也不容忽视,在长时间地表蒸发及植物蒸腾作用下,沟床表层土壤含水量空间变异性会进一步加强,且在一定程度上会影响沟床表层短根系及一年生草本植物的生长与分布。     

喀斯特地区烟田土壤养分的空间变异特征

以我国典型的喀斯特地区—贵州省毕节地区为研究区域,利用地统计学和地理信息系统(GIS)相结合的方法对烟田土壤养分的空间变异特征进行研究,皆在为喀斯特地区烟草种植的平衡施肥及生态环境保护提供依据。描述性统计结果表明,研究区烟田土壤各养分指标均属中等程度变异。半方差函数分析表明,研究区烟田土壤全氮、全钾、速效磷变异函数的最适模型是球状模型,全磷和速效钾的最适模型是线性模型,碱解氮、pH和有机质的最适模型为指数模型;速效磷表现为强烈的空间自相关性,主要受结构性因素影响,而全氮、全磷、全钾、碱解氮、速效钾、pH和有机质表现为中等空间相关性,受结构性因素和随机性因素共同影响。普通克里格插值的土壤养分空间分布图表明,研究区域内烟田土壤全氮、全钾、速效磷和速效钾含量分布呈现空间连续分布的特点,而全磷、碱解氮和pH、有机质含量没有明显的分布规律,这主要与喀斯特地区复杂的立地因子和人为影响有关。     

合肥市白毫早、乌牛早茶园天敌与蓟马的空间跟随关系

为利用天敌有效防治茶园蓟马,2015—2016年选择安徽农业大学农业科技试验基地的白毫早和乌牛早2种茶园进行试验,对2种茶园的蓟马数量及其天敌数量进行调查,采用地学统计学方法与灰色关联度法相结合方法综合分析与蓟马空间跟随关系密切的天敌种类。结果表明,2015年和2016年2年,白毫早茶园蓟马共2 408头,其捕食性天敌共12 156头,与蓟马空间跟随关系密切的前4位天敌依次是锥腹肖蛸Tetragnatha maxillosa、茶色新圆蛛Neoscona theisi、粽管巢蛛Clubiona japonicola和草间小黑蛛Erigonidium graminicolum,2年密切指数之和分别为1.952、1.843、1.800和1.751;2015年和2016年2年,乌牛早茶园蓟马共6 540头,其捕食性天敌共12 376头,与蓟马空间关系密切的前4位天敌依次是八斑球腹蛛Theridion octomaculatum、异色瓢虫Harmonia axyridis、茶色新圆蛛和锥腹肖蛸,2年密切指数之和分别为1.863、1.829、1.762和1.759。综合分析2年白毫早和乌牛早2种茶园,与蓟马空间关系密切的前4位天敌依次是锥腹肖蛸、茶色新圆蛛、异色瓢虫和草间小黑蛛,密切指数之和为3.710、3.605、3.512和3.473。     

利用Kriging插值方法研究山东龙口北马镇农田土壤养分的空间变异

以山东省龙口市北马镇1 000 hm2的科技示范区为研究区,在地理信息系统平台ArcGIS上,采用Geostatistical Analyst地统计分析模块中的Kriging插值方法研究土壤养分的空间变异性.该分析过程中,发现影响分析工作结果精度的是Kriging插值模型的选择及Cross-Validation交叉验证法的检验与系数修正.数据分析结果表明,龙口市北马镇0～20 cm耕层土壤中碱解氮、速效钾含量空间相关性中等,速效磷含量具有强烈的空间相关性,有机质含量空间相关性较弱.