东北低山丘陵区土地适宜性评价与潜力分析——以吉林省西南部黑牛河流域为例

喀斯特地区土地的石漠化与地层岩性、河流切割、土壤侵蚀、坡度及人类活动等有关。主要从岩性方面来分析喀斯特地区石漠化的成因,并以贵州高原的清镇市为例,结合石漠化的相关数据,运用GIS工作平台及计算机数据统计分析系统,分析各岩层组中各岩性石漠化的分布及等级,从而得出石灰岩地区的石漠化面积最大,石漠化程度最高,而泥灰岩地区的石漠化面积最少。因此,喀斯特地区的地层岩性与石漠化的级别和分布有密切关系。     

黑土区组合施肥技术对土壤氮磷的影响

定位试验研究有机肥、生物肥和化肥组合施肥技术对土壤N、P养分元素的影响结果表明,组合施肥较单施化肥土壤全N增加0.05g/kg,速效氮(除Ⅱ处理)增加6.6～44.6mg/kg,土壤全P增加0.15～0.29g/kg,速效磷增加15.68～51.07mg/kg。组合施肥较单施化肥土壤N素增量全N增加0.2～0.25g/kg,速效氮增加11.6～39.4 mg/kg,全P增加0.09～0.24g/kg,速效磷增加23.59～57.82mg/kg。组合施肥较单施化肥净收入高19.4％～37.3％。     

干旱半干旱地区植被生态用水计算

干旱半干旱地区是生态环境比较脆弱的地区 ,特别是人类不合理开发 ,使生态环境受到严重威胁。为了挽救中国西部干旱半干旱地区已遭破坏的生态环境 ,我国政府提出了“退耕还林”的号召。针对干旱半干旱地区 ,植被生态系统实际用水量以及达到某一目标要求的生态用水量如何计算或合理确定 ,对流域规划、生态建设以及水资源合理配置都有重要意义。先从生态系统的一般意义上来介绍生态用水的概念 ,进而介绍植被生态用水的计算方法 ,并针对“退耕还林”和“植被生态改善与恢复”情况下的生态用水计算问题进行专门介绍。     

金沙江干热河谷区退化土壤结构的分形特征研究

分形理论是近年来兴起的一种新的研究工具。分析结果表明 :土壤粒径分布的分形维数能客观地反映退化土壤的结构状况和退化程度 ,可作为退化土壤结构评价的一项综合性定量指标。退化土壤的分形维数与土壤颗粒组成和微团聚体组成之间存在着明显的相关性。土壤中 <0 .0 0 1mm粘粒含量越高 ,>0 .2 5 mm团粒含量越低 ,则分形维数越高 ,结构性越差。对于同一土壤退化系列 ,分形维数越高 ,土壤退化越严重。     

江淮丘陵区水稻钾、氮吸收特性与施钾效应研究

江淮地区水稻田间小区施钾效应试验结果表明,施钾能明显提高水稻产量,改善水稻生育性状,在氮磷肥充足时,钾肥的增产效果极其显著。水稻钾吸收量明显以秸秆吸钾量为主,约为籽粒吸钾量的5倍。N来自土壤的数量为120.30 kg hm-2;K2O来自土壤的数量为72.83kg hm-2。NPK全素施钾处理吸钾总量平均高出NP处理48.79%,籽粒和秸秆分别平均增加9.21%和56.8%;说明钾吸收量增加对秸秆产量贡献明显小于对籽粒产量的贡献。除最高施钾量和不施氮处理外,其余处理均出现不同程度钾素亏缺,说明在不施氮肥或氮肥不足的情况下,水稻对肥料钾的吸收量也相应减少。本试验钾肥(K2O)产投比以NPK2处理最高为2.54。综上所述,本地区同等肥力土壤,水稻钾肥推荐用量为120kg hm-2,根据土壤钾素平衡状况,水稻施钾量可适当增加。     

黄土丘陵区退耕地植被景观时空变异特征

对黄土丘陵区退耕地植被特征的时空变异性进行了研究.结果表明,不同植被类型区植被特征之间差异不是很显著,仅延安与安塞在物种丰富度之间和安塞与吴旗在物种多样性之间存在较显著的差异(0.01＜p＜0.05),其它的两两之间的差异并不明显.延安森林带北缘→安塞森林草原带植被指数呈下降趋势,降幅最大为17.65%,变异系数呈增大趋势,增幅最大为21.49%;安塞森林草原带→吴旗草原带物种丰富度指数及其变异系数都呈增大趋势,而物种多样性和均匀度指数呈减小趋势,其变异系数呈增大趋势.植被指数随退耕年限的变化趋势图都有两个明显的峰值,并在退耕20年左右后植被群落逐渐稳定.     

基于序贯扫描算法的区域标记技术与蘑菇图像分割方法

蘑菇采摘机械手通过机器视觉系统进行引导与定位，需要对菇床上的蘑菇图像进行处理和分析。为了在一幅蘑菇图像中将各个蘑菇的边界识别并区分出来，作者提出了一种分析算法。首先分析了蘑菇图像的数字特征和边界的分割方法，提出了基于序贯扫描方法的蘑菇图像区域标记技术，实现了各个蘑菇图像中心区域的识别。然后，从各个中心区域的中心坐标点出发，沿着不同角度的半径方向搜索蘑菇边界点，将找到的各个蘑菇边界点存放到相应的动态链表中，实现各个蘑菇的独立分割，最后在Visual C++软件平台上对该算法进行了验证。结果证明该方法是可行的，为蘑菇采摘机器人视觉系统的开发奠定理论基础。     

Sustainable agriculture evaluation model for red soil hill region of southeast China

Agricultural sustainability for economic development is important and a complex issue throughout the world; however,it is difficult to synthetically evaluate its use in the policy making process. The objective of this study was to evaluate sustainable agriculture in the red soil hill region of Southeast China through a newly proposed method combining four separate sub-systems: regional population (P), resource (R), environmental (E), and socio-economic (S). This new index system was proposed to appraise synthetically the agricultural sustainability of the red soil hill region from 1988 to 1996 with a two-step method assessing: a) the agricultural sustainability in each province independently and b) the relative sustainability of each province to the whole region. The first step only provided a development trend for each province based on its original situation, while the second step provided additional information on the comparative status of each province in agricultural development to the region as a whole. Higher index scores were found for the economy and resource categories denoting improvement. However, lower scores in the environment category indicated the improvement was achieved at the cost of deteriorating ecological surroundings due to an increasing population that demanded more from the agro-ecosystem and put heavier pressures on it. Results also showed that water and soil losses in this region were the major obstacles encountered in sustainable agriculture development. The assessment results were verified when compared with results from another method. This suggested that the new assessment system was reliable and credible in evaluating agricultural sustainability on a regional scale.     

Soil moisture pre-treatment effects on enzyme activities as indicators of heavy metal-contaminated and reclaimed soils

Heavy metal contamination can inhibit soil functions but it is often difficult to determine the degree of pollution or when soil reclamation is complete. Enzyme assays offer potential as indicators of biological functioning of soils. However, antecedent water content of soil samples may affect the outcome of biological measurements. In Mediterranean regions, for much of the year ‘field moist’ surface soil can have water content similar to that of air-dry samples. The objectives of this study were to: (1) determine the sensitivity of a range of enzyme assays to detect the degree of pollution from a heavy metal mine spill; (2) evaluate rewetting field-dry soil as a pre-treatment for enzyme assays; and (3) test multivariate analysis for improving discrimination between polluted, reclaimed and non-polluted soils. The Aznalcóllar mining effluent spill provided a unique opportunity to address these objectives. This accident released toxic, heavy metal-contaminated (As, Bi, Cd, Cu, Pb, Tl, Zn…) and acid tailings into the Guadiamar watershed (SW Spain) in 1998, severely affecting the riparian zone along more than 4000 ha. Contaminated soils were collected from the highly polluted upper watershed and less polluted lower watershed along with reclaimed soil at both sites. Enzyme activities (phosphatases, arylsulfatase, β-glucosidase, urease and dehydrogenase) were assessed on both field-moist samples and soils rewetted to 80% of water-holding capacity and then incubated at 21 °C for 7 d prior to the assay. The reclaimed soils had higher activities than polluted soils but, typically, 1.5-3 times lower levels of activity than the non-polluted soil. Regardless of the moisture pre-treatment, all enzymes showed significant effects due to pollution, with urease and β-glucosidase showing the greatest discrimination between degrees of contamination. In general, rewetting field-dried soils increased activities on non-polluted and reclaimed soils which improved discrimination with polluted soils. Another method to increase the potential of soil enzyme activities to detect soil contamination could be to combine them in multivariate analysis, which provides a more holistic representation of the biochemical and microbial functionality of a soil.     

黄土区不同下垫面农田降雨入渗及产流关系的数值模拟

在野外试验的基础上，建立了二维农田降雨入渗及产流关系的数学模型，并用中国科学院长武县王东沟农业生态站不同下垫面径流小区实测土壤含水率及产流资料对该模型进行验证。结果显示：该模型对降雨过程中土壤入渗、产流以及雨后蒸发条件下土壤水分的模拟都有很高的精度，可以用于黄土区降雨入渗及产流关系的模拟。