雷州半岛南部土壤肥力综合评价及空间变异

通过测定雷州半岛南部845个耕地土壤样品pH、有机质、全氮、有效磷、速效钾、碱解氮的含量,采用层次分析法确定各肥力评价指标权重,应用模糊数学法对该区域耕地土壤肥力进行综合评价,并利用ArcGIS 9.2软件对土壤肥力空间变异进行分析.结果表明:雷州半岛南部土壤有机质、全氮、有效磷、速效钾、碱解氮平均值分别为26.18 g/kg、1.48 g/kg 、34.63 mg/kg、158.57 mg/kg、133.17 mg/kg;土壤速效磷的变异系数最高,为103.14%,属强变异性,有机质、速效钾、碱解氮、全氮的变异系数属中等变异性,pH值的变异系数最小.土壤肥力总体水平处于中等偏低;从空间分布来看,土壤肥力中部高,东北、西南部相对较低     

湛江地区辣椒地土壤的养分状况及其调节

对湛江地区辣椒地土壤取样,测定了容重pH、及有机质、全氮、碱解氮、速效磷、速效钾含量。结果表明,辣椒地土壤肥力比甘蔗地土壤有明显改善,且随年限延长呈提高的趋势;与甘蔗地土壤比较,辣椒地土壤速效钾含量呈降低趋势。     

湛江地区辣椒地土壤的养分状况及其调节

对湛江地区辣椒地土壤取样,测定了容重ｐＨ,及有机质,全氮,碱解氮,速效磷,速效钾含量。结果表明,辣椒地土壤肥力比甘蔗地土壤有明显改善,且随年限延长呈提高的趋势,与甘蔗地土壤比较,辣椒地土壤速效钾含量呈降低趋势。     

山东省临沭县北部土壤养分特征及综合肥力评价

在山东省临沭县北部农耕区进行耕层土壤样品采集,并测定土壤pH、有机质、全量及速效氮磷钾等养分指标来表征土壤肥力,运用因子分析法、聚类分析法计算出所有样本土壤养分综合评价值并进行等级划分来评价土壤肥力。结果表明临沭县北部土壤酸化严重,有机质和全氮、速效钾含量较低,全钾、全磷、碱解氮、速效磷比较丰富。因子分析显示TN、OM、AK、AP、TP、pH是影响临沭县北部土壤养分综合状况的主要因素。临沭县北部土壤肥力水平偏低;土壤养分综合评价值(IFI)具体表现为：郑山街道>青云镇>玉山镇>临沭街道>蛟龙镇。     

氮钾配施对生姜产量和砂姜黑土肥力的效应

研究了淮北平原砂姜黑土地区生姜氮钾配施的增产效应和对土壤养分的影响。结果表 明:氮钾配施可以大幅度提高生姜的产量,施钾的增产幅度,柴姜为15.3%～58.4%,平均增产率 为35.8%;狮子头姜产量提高18.2%～46.9%,平均增产28.7%。增施氮钾肥可有效提高土壤有 机质、全N、有效P、速效K、缓效K、有效Ca和有效Mg含量,降低NO3-盐含量,促使土壤pH趋于 中性,对全P和碱解N含量影响较小。土壤N素和P素大量盈余,不施钾时土壤K亏损严重,施钾 处理土壤钾基本上处于盈余状态,有利于维持和提高土壤肥力。     

氮钾配施对生姜产量和砂姜黑土肥力的效应

研究了淮北平原砂姜黑土地区生姜氮钾配施的增产效应和对土壤养分的影响。结果表明：氮钾配施可以大幅度提高生姜的产量，施钾的增产幅度，柴姜为15．3％～58．4％，平均增产率为35．8％；狮子头姜产量提高18．2％～46．9％，平均增产28．7％。增施氮钾肥可有效提高土壤有机质、全N、有效P、速效K、缓效K、有效Ca和有效Mg含量，降低NO3-盐含量，促使土壤pH趋于中性，对全P和碱解N含量影响较小。土壤N素和P素大量盈余，不施钾时土壤K亏损严重，施钾处理土壤钾基本上处于盈余状态．有利于维持和提高土壤肥力。     

基于无人机遥感的滨海盐碱地土壤空间异质性分析与作物光谱指数响应胁迫诊断

在已集中连片改造为农田的盐碱地上,开展无人机遥感作物土壤空间异质性分析与光谱指数响应胁迫诊断对于提升盐碱地利用效率、创造更多经济效益与生态价值具有重要意义。本研究以山东省东营市黄河三角洲典型滨海盐碱地集中连片旱作农田的主要作物——高粱和玉米为研究对象,利用固定翼无人机获取400 hm²滨海盐碱地多光谱遥感数据,并结合地面195个采样点的3个土层（0~10 cm、10~20 cm、20~40 cm）的土壤属性数据,对该研究区域内作物生长的土壤环境因子进行空间异质性分析与光谱指数响应胁迫诊断。基于土壤属性数据,利用反距离加权插值法,绘制该研究区域内土壤盐分、pH、有机质、全氮和速效氮共5个指标含量的水平与垂直空间分布图。插值结果显示,5种土壤属性指标存在显著水平和垂直空间异质性。基于随机森林模型,采用递归特征消除法,结合土壤指标对光谱指数的重要性值,探讨影响作物生长的主要土壤环境胁迫因子。结果表明,5种土壤属性因子均会对玉米和高粱生长造成影响,但主要胁迫因子分别为土壤速效氮含量（10~20 cm）和3个土层的盐分含量。本研究为大面积农情胁迫监测提供了一项有效的地面与航空协同监测方案,为盐碱地旱作农田管理与决策提供了理论依据和技术支持。     

攀西钒钛磁铁矿山排土场生态修复调查研究:以四川攀枝花市红格矿山为例

矿区排土场生态修复是近年来矿山生态修复的难点与重点,为了有效提升攀西地区钒钛磁铁矿区的排土场生态修复效果,以四川攀枝花市红格钒钛磁铁矿山的四大排土场为例,设置样方对植被和土壤进行调查分析.结果表明:①各排土场呈现出被子植物恢复较好,略缺少蕨类植物和裸子植物,排土场平台植被盖度和物种丰富度均高于边坡;②当地的先锋植物为木豆CajaＧnuscajan、饿蚂蝗Desmodium multiflorum、白背枫Buddlejaasiatica、戟叶酸模Rumexhastatus４种灌木和狗牙根CynodondacＧtylon、紫马唐Digitariaviolascens、毛臂形草Brachiariavillosa、羽芒菊 Tridaxprocumbens、荩草 Arthraxonhispidus、白酒草Conyzajaponica、狗尾草Setariaviridis、黄茅 Heteropogoncontortus、鬼针草Bidenspilosa９种草本;③各排土场土壤偏关性分析表明提高土壤pH 值能提高土壤中碱解氮的质量分数;④速效磷、TP、有机质在不同土样之间存在相对较大的离散程度,TN 含量分布较集中,土样的 TN、速效钾、速效磷、有机质、碱解氮均处于较低水平或极低水平.基于此,攀西钒钛磁铁矿区排土场应根据上述先锋植物采取相应的配置模式,提升覆土厚度,可以添加碳酸钙、熟石灰等农用石灰性物质来中和土壤的酸性条件,并通过添加化学肥料改良土壤肥力,从而提升修复效果.      

济源市南山林场林区人工林与农田土壤质量的评价与比较

我国退耕还林的政策已经实施超过20年,该政策对我国生态环境的改善发挥了巨大作用,人工林的生态效益也得到了广泛认可与研究。然而多数研究聚焦在人工林对大气环境的优化,忽略了土壤质量这一陆地生态系统循环中至关重要的生态要素。本文利用多种实地测量的土壤理化属性数据计算了综合土壤指数并分析了济源市南山林场区内人工林与农田的土壤质量差异,研究发现土壤质量受多种因素影响,其中全氮含量和土壤pH作用最为突出,其次是全钾含量和有机质含量;另外人工林和农田的土壤指标中2012年(2.47g/kg)和2022年(40.34g/kg)差异度最大的均为全碳含量,2012年最小为全钾含量(0.24%),2022年最小变为全氮含量(3.30%);人工林的多数土壤指标含量高于农田,说明人工林对提高该地区的土壤质量具有积极作用,在林农分用的10年中,人工林地区的土壤质量相对农田提高了约10%,说明退耕还林可有效改善区域土壤质量。本文对人工林和农田土壤质量的评价对于我国退耕还林政策具有补充意义。     

西南喀斯特地区不同石漠化阶段土壤有效磷变异研究

为了探索西南喀斯特地区土壤有效磷的变异规律,采用野外采样与实验室分析相结合的方法,对贵州省荔波县及普定县不同石漠化阶段典型土壤的有效磷含量进行了研究.结果表明:①非石漠化土壤与轻度石漠化土壤有效磷质量分数呈显著差异,非石漠化的黑色石灰土有效磷质量分数高达9.29×10-6,随着石漠化程度的加深,土壤有效磷含量逐渐减少;②土壤剖面中有效磷质量分数均表现为表土层高于心土层,且随着石漠化的发展,有效磷质量分数在剖面中减少得越慢;③土壤有效磷质量分数随时间有显著变化,有效磷从5月开始积累,7月后出现下降趋势,9月或11月又逐渐升高,到翌年1月达到峰值;④土壤有效磷与有机质和黏粒质量分数均呈极显著线性相关,相关系数分别为0.901 7和-0.777 2.这说明增加有机质的积累可提高土壤有效磷质量分数,对防治石漠化具有重要意义.     

Influence of livestock soil eutrophication on floral composition in the Pyrenees mountains

Livestock behaviour in the Pyrenees includes free grazing and a long resting period that provokes the accumulation of dung and urine in some places,so-called camping areas. The aims of this study were （i） to analyze any change in floral composition,and in nutritional and chemical contents of plants in a livestock camping area; and （ii） to relate the floral composition with soil chemical properties. In a linear transect,five sampling zones were established,from the centre of the camping area to the surrounding Nardus stricta-dominant pasture. The above ground plant biomass and the topsoil were sampled in each zone with 6 replicates per zone. Plant species were classified and weighed to calculate above ground biomass,nutritional and chemical contents,and Shannon diversity and evenness indices. Additionally,soils were sampled in two periods,at the beginning and at the end of grazing period. Soil available nutrients （nitrate,ammonium,phosphorus,potassium,calcium and magnesium）,total nitrogen,organic carbon and pH were measured.
Plant chemical contents （protein,lignin and others） were significantly related to the proportions of grasses,legumes and other plants; so,the protein content is positively correlated with legumes plant biomass while lignin content is negatively correlated with grasses. Both plant and soil nutrients increased linearly towards the centre of the camping area. However,the relationship among plant species richness,diversity and evenness relative to its position along the studied transect was bell-shaped. From the outskirts to the centre of the camping area,plants with low nutrient demand were progressively replaced by those with medium and high nutrients demand and by pioneers.
Nardus stricta-dominant pasture has low plant diversity and plant nutrient content as well as a poor soil nutrient availability. The presence of the camping area introduced patches with more soil nutrients and new species in the large spatial scale. However at a small spatial scale,the strong soil nutrien     

Higher species diversity occurs in more fertile habitats without fertilizer disturbance in an alpine natural grassland community

Are there some relationships among species diversity and soil chemical properties of high altitude natural grasslands？ Plant community composition and chemical properties of soil samples were compared to investigate the relationship between soil and species diversity, and the richness in Tibetan alpine grasslands. Results showed that species diversity was significantly positively related to soil organic matter （SOM）, total nitrogen （TN）, available nitrogen （AN）, total phosphorus （TP）, available phosphorus （AP）, and available potassium （AK） in the high alpine grasslands. Margalefs species richness index was also significantly positively related to SOM, TN, AN, and TP. Most soil chemical properties showed significantly positive correlation with species diversity and Margalef＇s richness index. Our results suggested that higher plant species richness index and diversity occurred in more fertile soil habitats in high altitude natural grassland community. In practice, fertilization management for the restoration of degraded grassland should be conducted with reference to the nutrient levels ofnatural grassland without the additional artificial fertilizer and with higher species-diversity and richness index.     

A novel model to assess soil productivity in the dry-hot valleys of China

Accurate evaluation of soil productivity has been a long-standing challenge. Although numerous models for productivity assessment exist, most are cumbersome to use and require substantial parameter inputs. We developed a new empirical soil productivity model based on field investigations of soil erosion, soil physicochemical properties, and crop yields in the dry-hot valleys (DHVs) in China. We found that soil pH, and organic matter and available potassium contents significantly affected crop yields under eroded conditions of the DHVs. Moreover, available potassium content was the key factor affecting soil productivity. We then modified an existing soil productivity model by adding the following parameters: contents of effective water, potassium, organic matter, and clay, soil pH, and root weighting factor. The modified soil productivity model explained 63.5% of the crop yield. We concluded that the new model was simple, realistic, and exhibited strong predictability. In addition to providing an accurate assessment of soil productivity, our model could potentially be applied as a soil module in comprehensive crop models.     

Selecting suitable sites for mountain ginseng (<Emphasis Type="Italic">Panax ginseng</Emphasis>) cultivation by using geographically weighted logistic regression

With the well-being trends to pursue a healthy life, mountain ginseng (Panax ginseng) is rising as one of the most profitable forest products in South Korea. This study was aimed at evaluating a new methodology for identifying suitable sites for mountain ginseng cultivation in the country. Forest vegetation data were collected from 46 sites and the spatial distribution of all sites was analyzed using GIS data for topographic position, landform, solar radiation, and topographic wetness. The physical and chemical properties of the soil samples, including moisture content, pH, organic matter, total nitrogen, exchangeable cations, available phosphorous, and soil texture, were analyzed. The cultivation suitability at each site was assessed based on the environmental conditions using logistic regression (LR) and geographically weighted logistic regression (GWLR) and the results of both methods were compared. The results show that the areas with northern aspect and higher levels of solar radiation, moisture content, total nitrogen, and sand ratio are more likely to be identified as suitable sites for ginseng cultivation. In contrast to the LR, the spatial modeling with the GWLR results in an increase in the model fitness and indicates that a significant portion of spatial autocorrelation in the data decreases. A higher value of the area under the receiver operating characteristic (ROC) curve presents a better prediction accuracy of site suitability by the GWLR. The geographically weighted coefficient estimates of the model are non-stationary, and reveal that different site suitability is associated with the geographical location of the forest stands. The GWLR increases the accuracy of selecting suitable sites by considering the geographical variations in the characteristics of the cultivation sites.     

Spatial variability of soil carbon to nitrogen ratio and its driving factors in Ili River valley,Xinjiang, Northwest China

Soil carbon to nitrogen(C/N) ratio is one of the most important variables reflecting soil quality and ecological function,and an indicator for assessing carbon and nitrogen nutrition balance of soils.Its variation reflects the carbon and nitrogen cycling of soils.In order to explore the spatial variability of soil C/N ratio and its controlling factors of the Ili River valley in Xinjiang Uygur Autonomous Region,Northwest China,the traditional statistical methods,including correlation analysis,geostatistic alanalys and multiple regression analysis were used.The statistical results showed that the soil C/N ratio varied from 7.00 to 23.11,with a mean value of 10.92,and the coefficient of variation was 31.3%.Correlation analysis showed that longitude,altitude,precipitation,soil water,organic carbon,and total nitrogen were positively correlated with the soil C/N ratio(P 0.01),whereas negative correlations were found between the soil C/N ratio and latitude,temperature,soil bulk density and soil p H.Ordinary Cokriging interpolation showed that r and ME were 0.73 and 0.57,respectively,indicating that the prediction accuracy was high.The spatial autocorrelation of the soil C/N ratio was 6.4 km,and the nugget effect of the soil C/N ratio was 10% with a patchy distribution,in which the area with high value(12.00–20.41) accounted for 22.6% of the total area.Land uses changed the soil C/N ratio with the order of cultivated land grass land forest land garden.Multiple regression analysis showed that geographical and climatic factors,and soil physical and chemical properties could independently explain 26.8%and 55.4% of the spatial features of soil C/N ratio,while human activities could independently explain 5.4% of the spatial features only.The spatial distribution of soil C/N ratio in the study has important reference value for managing soil carbon and nitrogen,and for improving ecological function to similar regions.